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ORCIDPietro Liò
Pietro Lió – Pietro Lio' – Pietro Lio
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- affiliation: University of Cambridge, Department of Computer Science and Technology, UK
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2020 – today
- 2025
[j147]Ugo Lomoio, Pierangelo Veltri, Pietro Hiram Guzzi, Pietro Liò:
Design and use of a Denoising Convolutional Autoencoder for reconstructing electrocardiogram signals at super resolution. Artif. Intell. Medicine 160: 103058 (2025)- [j146]Zhenyu Yang
, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Shan Xue, Chuan Zhou, Charu Aggarwal, Hao Peng, Wenbin Hu, Edwin R. Hancock, Pietro Liò:
State of the Art and Potentialities of Graph-level Learning. ACM Comput. Surv. 57(2): 28:1-28:40 (2025) - [j145]Caihong Yan, Xiaofeng Lu, Pietro Lio, Pan Hui, Daojing He:
Self-Simulation and Meta-Model Aggregation-Based Heterogeneous-Graph-Coupled Federated Learning. IEEE Internet Things J. 12(1): 198-212 (2025) - [j144]Francesco Prinzi, Pietro Barbiero, Claudia Greco, Terry Amorese, Gennaro Cordasco, Pietro Liò, Salvatore Vitabile, Anna Esposito:
Using AI explainable models and handwriting/drawing tasks for psychological well-being. Inf. Syst. 127: 102465 (2025) - 2024
- [j143]Roksana Akter Raisa, Ayesha Siddika Rodela, Mohammad Abu Yousuf, A. K. M. Azad, Salem A. Alyami, Pietro Liò, Md Zahidul Islam, Ganna Pogrebna, Mohammad Ali Moni:
Deep and Shallow Learning Model-Based Sleep Apnea Diagnosis Systems: A Comprehensive Study. IEEE Access 12: 122959-122987 (2024) - [j142]Xiaofeng Lu, Jinglun Zhao, Senhao Zhu, Pietro Lio:
SNDGCN: Robust Android malware detection based on subgraph network and denoising GCN network. Expert Syst. Appl. 250: 123922 (2024) - [j141]Nasirul Mumenin, Mohammad Abu Yousuf, Md Asif Nashiry, A. K. M. Azad, Salem A. Alyami, Pietro Lio', Mohammad Ali Moni:
ASDNet: A robust involution-based architecture for diagnosis of autism spectrum disorder utilising eye-tracking technology. IET Comput. Vis. 18(5): 666-681 (2024) - [j140]Francesco Bardozzo, Andrea Terlizzi, Claudio Simoncini, Pietro Lió, Roberto Tagliaferri:
Elegans-AI: How the connectome of a living organism could model artificial neural networks. Neurocomputing 584: 127598 (2024) - [j139]Lintao Yang, Pietro Liò, Xu Shen, Yuyang Zhang, Chengbin Peng:
Adaptive multi-scale Graph Neural Architecture Search framework. Neurocomputing 599: 128094 (2024) - [j138]Zhikang Wang, Jiani Ma, Qian Gao, Chris Bain, Seiya Imoto, Pietro Liò, Hongmin Cai, Hao Chen, Jiangning Song:
Dual-stream multi-dependency graph neural network enables precise cancer survival analysis. Medical Image Anal. 97: 103252 (2024) - [j137]Yuanqi Du, Arian R. Jamasb, Jeff Guo, Tianfan Fu, Charles Harris, Yingheng Wang, Chenru Duan, Pietro Liò, Philippe Schwaller, Tom L. Blundell:
Machine learning-aided generative molecular design. Nat. Mac. Intell. 6(6): 589-604 (2024) - [j136]Till Siebenmorgen, Filipe Menezes, Sabrina Benassou, Erinc Merdivan, Kieran Didi, André Santos Dias Mourão, Radoslaw Kitel, Pietro Liò, Stefan Kesselheim, Marie Piraud, Fabian J. Theis, Michael Sattler, Grzegorz M. Popowicz:
MISATO: machine learning dataset of protein-ligand complexes for structure-based drug discovery. Nat. Comput. Sci. 4(5): 367-378 (2024) - [j135]Arne Schneuing, Charles Harris, Yuanqi Du, Kieran Didi, Arian Rokkum Jamasb, Ilia Igashov, Weitao Du, Carla P. Gomes, Tom L. Blundell, Pietro Lio, Max Welling, Michael M. Bronstein, Bruno E. Correia:
Structure-based drug design with equivariant diffusion models. Nat. Comput. Sci. 4(12): 899-909 (2024) - [j134]Alauddin Sabari, Imran Hasan, Salem A. Alyami, Pietro Liò, Md. Sadek Ali, Mohammad Ali Moni, A. K. M. Azad:
LandSin: A differential ML and google API-enabled web server for real-time land insights and beyond. Softw. Impacts 22: 100718 (2024) - [j133]Xu Shen, Pietro Liò, Lintao Yang, Ru Yuan, Yuyang Zhang, Chengbin Peng:
Graph Rewiring and Preprocessing for Graph Neural Networks Based on Effective Resistance. IEEE Trans. Knowl. Data Eng. 36(11): 6330-6343 (2024) - [j132]Ming Li, Alessio Micheli, Yu Guang Wang, Shirui Pan, Pietro Lió, Giorgio Stefano Gnecco, Marcello Sanguineti:
Guest Editorial: Deep Neural Networks for Graphs: Theory, Models, Algorithms, and Applications. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4367-4372 (2024) - [c200]Yiqing Shen, Zan Chen, Michail Mamalakis, Yungeng Liu, Tianbin Li, Yanzhou Su, Junjun He, Pietro Liò, Yu Guang Wang:
TourSynbio: A Multi-Modal Large Model and Agent Framework to Bridge Text and Protein Sequences for Protein Engineering. BIBM 2024: 2382-2389 - [c199]Xiangyu Zhao, Zehui Li, Mingzhu Shen, Guy-Bart Stan, Pietro Liò, Yiren Zhao:
Enhancing Node Representations for Real-World Complex Networks with Topological Augmentation. ECAI 2024: 1487-1494 - [c198]Adrián Bazaga, Pietro Lio, Gos Micklem:
HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs. EMNLP (Findings) 2024: 9181-9193 - [c197]Adrián Bazaga, Pietro Lio, Gos Micklem:
Language Model Knowledge Distillation for Efficient Question Answering in Spanish. Tiny Papers @ ICLR 2024 - [c196]Adrián Bazaga, Pietro Lio, Gos Micklem:
Unsupervised Pretraining for Fact Verification by Language Model Distillation. ICLR 2024 - [c195]Arian Rokkum Jamasb, Alex Morehead, Chaitanya K. Joshi, Zuobai Zhang, Kieran Didi, Simon V. Mathis, Charles Harris, Jian Tang, Jianlin Cheng, Pietro Lio, Tom L. Blundell:
Evaluating Representation Learning on the Protein Structure Universe. ICLR 2024 - [c194]Urszula Julia Komorowska, Simon V. Mathis, Kieran Didi, Francisco Vargas, Pietro Lio, Mateja Jamnik:
Dynamics-Informed Protein Design with Structure Conditioning. ICLR 2024 - [c193]Keke Huang, Yu Guang Wang, Ming Li, Pietro Lio:
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing. ICML 2024 - [c192]Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Lio, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi:
Position: Topological Deep Learning is the New Frontier for Relational Learning. ICML 2024 - [c191]Francesco Ceccarelli, Lorenzo Giusti, Sean B. Holden, Pietro Liò:
Integrating Structure and Sequence: Protein Graph Embeddings via GNNs and LLMs. ICPRAM 2024: 582-593 - [c190]Francesco Ceccarelli, Francesco Prinzi, Pietro Liò, Salvatore Vitabile, Sean B. Holden:
MUGI-MRI: Enhancing Breast Cancer Classification through Multiplex Graph Neural Networks in DCE-MRI. IJCNN 2024: 1-8 - [c189]Lorenzo Giusti, Teodora Reu, Francesco Ceccarelli, Cristian Bodnar, Pietro Liò:
Topological Message Passing for Higher - Order and Long - Range Interactions. IJCNN 2024: 1-8 - [c188]Lihao Liu, Yanqi Cheng, Zhongying Deng, Shujun Wang, Dongdong Chen, Xiaowei Hu, Pietro Liò, Carola-Bibiane Schönlieb, Angelica E. Avilés-Rivero:
TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios. ACM Multimedia 2024: 1265-1273 - [c187]Alexander Denker, Francisco Vargas, Shreyas Padhy, Kieran Didi, Simon V. Mathis, Riccardo Barbano, Vincent Dutordoir, Emile Mathieu, Urszula Julia Komorowska, Pietro Lió:
DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised $h$-transform. NeurIPS 2024 - [c186]Dobrik Georgiev, Joseph Wilson, Davide Buffelli, Pietro Lió:
Deep Equilibrium Algorithmic Reasoning. NeurIPS 2024 - [c185]Keke Huang, Wencai Cao, Hoang Ta, Xiaokui Xiao, Pietro Liò:
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach. WWW 2024: 1057-1068 - [c184]Francesco Giannini, Stefano Fioravanti, Pietro Barbiero, Alberto Tonda, Pietro Liò, Elena Di Lavore:
Categorical Foundation of Explainable AI: A Unifying Theory. xAI (3) 2024: 185-206 - [i253]Dobrik Georgiev, Pietro Liò, Davide Buffelli:
The Deep Equilibrium Algorithmic Reasoner. CoRR abs/2402.06445 (2024) - [i252]Adrián Bazaga, Pietro Liò, Gos Micklem:
HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs. CoRR abs/2402.07309 (2024) - [i251]Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Liò, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi:
Position Paper: Challenges and Opportunities in Topological Deep Learning. CoRR abs/2402.08871 (2024) - [i250]David Buterez, Jon Paul Janet, Dino Oglic, Pietro Lio:
Masked Attention is All You Need for Graphs. CoRR abs/2402.10793 (2024) - [i249]Xiangyu Zhao, Zehui Li, Mingzhu Shen, Guy-Bart Stan, Pietro Liò, Yiren Zhao:
Enhancing Real-World Complex Network Representations with Hyperedge Augmentation. CoRR abs/2402.13033 (2024) - [i248]Elsa Lawrence, Adham El-Shazly, Srijit Seal, Chaitanya K. Joshi, Pietro Liò, Shantanu Singh, Andreas Bender, Pietro Sormanni, Matthew Greenig:
Understanding Biology in the Age of Artificial Intelligence. CoRR abs/2403.04106 (2024) - [i247]Annamaria Defilippo, Pierangelo Veltri, Pietro Lió, Pietro Hiram Guzzi:
Leveraging graph neural networks for supporting Automatic Triage of Patients. CoRR abs/2403.07038 (2024) - [i246]Keke Huang, Wencai Cao, Hoang Ta, Xiaokui Xiao, Pietro Liò:
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach. CoRR abs/2403.07954 (2024) - [i245]Samitha Somathilaka, Adrian Ratwatte, Sasitharan Balasubramaniam, Mehmet Can Vuran, Witawas Srisa-an, Pietro Liò:
Wet TinyML: Chemical Neural Network Using Gene Regulation and Cell Plasticity. CoRR abs/2403.08549 (2024) - [i244]Tiansi Dong, Mateja Jamnik, Pietro Liò:
Sphere Neural-Networks for Rational Reasoning. CoRR abs/2403.15297 (2024) - [i243]Ugo Lomoio, Pierangelo Veltri, Pietro Hiram Guzzi, Pietro Lio':
DCAE-SR: Design of a Denoising Convolutional Autoencoder for reconstructing Electrocardiograms signals at Super Resolution. CoRR abs/2404.15307 (2024) - [i242]Miruna T. Cretu, Charles Harris, Julien Roy, Emmanuel Bengio, Pietro Liò:
SynFlowNet: Towards Molecule Design with Guaranteed Synthesis Pathways. CoRR abs/2405.01155 (2024) - [i241]Andrea Barucci, Giulia Ciacci, Pietro Liò, Tiago Azevedo, Andrea Di Cencio, Marco Merella, Giovanni Bianucci, Giulia Bosio, Simone Casati, Alberto Collareta:
Artificial Intelligence-powered fossil shark tooth identification: Unleashing the potential of Convolutional Neural Networks. CoRR abs/2405.04189 (2024) - [i240]Michail Mamalakis, Antonios Mamalakis, Ingrid Agartz, Lynn Egeland Mørch-Johnsen, Graham K. Murray, John Suckling, Pietro Lio:
Solving the enigma: Deriving optimal explanations of deep networks. CoRR abs/2405.10008 (2024) - [i239]Keke Huang, Yu Guang Wang, Ming Li, Pietro Liò:
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing. CoRR abs/2405.12474 (2024) - [i238]Michail Mamalakis, Héloïse de Vareilles, Shun-Chin Jim Wu, Ingrid Agartz, Lynn Egeland Mørch-Johnsen, Jane R. Garrison, Jon S. Simons, Pietro Lio, John Suckling, Graham K. Murray:
Contrastive-Adversarial and Diffusion: Exploring pre-training and fine-tuning strategies for sulcal identification. CoRR abs/2405.19204 (2024) - [i237]Bao Nguyen, Lorenzo Sani, Xinchi Qiu, Pietro Liò, Nicholas D. Lane:
Sheaf HyperNetworks for Personalized Federated Learning. CoRR abs/2405.20882 (2024) - [i236]Michail Mamalakis, Héloïse de Vareilles, Graham K. Murray, Pietro Lio, John Suckling:
The Explanation Necessity for Healthcare AI. CoRR abs/2406.00216 (2024) - [i235]Alexander Denker, Francisco Vargas, Shreyas Padhy, Kieran Didi, Simon V. Mathis, Vincent Dutordoir, Riccardo Barbano, Emile Mathieu, Urszula Julia Komorowska, Pietro Lio:
DEFT: Efficient Finetuning of Conditional Diffusion Models by Learning the Generalised h-transform. CoRR abs/2406.01781 (2024) - [i234]Andrei Margeloiu, Adrián Bazaga, Nikola Simidjievski, Pietro Liò, Mateja Jamnik:
TabMDA: Tabular Manifold Data Augmentation for Any Classifier using Transformers with In-context Subsetting. CoRR abs/2406.01805 (2024) - [i233]Xiuli Bi, Zonglin Yang, Bo Liu, Xiaodong Cun, Chi-Man Pun, Pietro Lio, Bin Xiao:
ZeroPur: Succinct Training-Free Adversarial Purification. CoRR abs/2406.03143 (2024) - [i232]Veljko Kovac, Erik J. Bekkers, Pietro Liò, Floor Eijkelboom:
E(n) Equivariant Message Passing Cellular Networks. CoRR abs/2406.03145 (2024) - [i231]Max Zhu, Adrián Bazaga, Pietro Liò:
FLUID-LLM: Learning Computational Fluid Dynamics with Spatiotemporal-aware Large Language Models. CoRR abs/2406.04501 (2024) - [i230]Paulina Kulyte, Francisco Vargas, Simon Valentin Mathis, Yu Guang Wang, José Miguel Hernández-Lobato, Pietro Liò:
Improving Antibody Design with Force-Guided Sampling in Diffusion Models. CoRR abs/2406.05832 (2024) - [i229]Rishabh Anand, Chaitanya K. Joshi, Alex Morehead, Arian R. Jamasb, Charles Harris, Simon V. Mathis, Kieran Didi, Bryan Hooi, Pietro Liò:
RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone Design. CoRR abs/2406.13839 (2024) - [i228]Arian R. Jamasb, Alex Morehead, Chaitanya K. Joshi, Zuobai Zhang, Kieran Didi, Simon V. Mathis, Charles Harris, Jian Tang, Jianlin Cheng, Pietro Lio, Tom L. Blundell:
Evaluating representation learning on the protein structure universe. CoRR abs/2406.13864 (2024) - [i227]Elisa Gómez de Lope, Saurabh Deshpande, Ramón Viñas Torné, Pietro Liò, Enrico Glaab, Stéphane P. A. Bordas:
Graph Representation Learning Strategies for Omics Data: A Case Study on Parkinson's Disease. CoRR abs/2406.14442 (2024) - [i226]James Rowbottom, Georg Maierhofer, Teo Deveney, Katharina Schratz, Pietro Liò, Carola-Bibiane Schönlieb, Chris J. Budd:
G-Adaptive mesh refinement - leveraging graph neural networks and differentiable finite element solvers. CoRR abs/2407.04516 (2024) - [i225]Riccardo Ali, Paulina Kulyte, Haitz Sáez de Ocáriz Borde, Pietro Liò:
Metric Learning for Clifford Group Equivariant Neural Networks. CoRR abs/2407.09926 (2024) - [i224]Vincenzo Marco De Luca, Antonio Longa, Andrea Passerini, Pietro Liò:
xAI-Drop: Don't Use What You Cannot Explain. CoRR abs/2407.20067 (2024) - [i223]Ferran Hernandez Caralt, Guillermo Bernárdez Gil, Iulia Duta, Pietro Liò, Eduard Alarcón-Cot:
Joint Diffusion Processes as an Inductive Bias in Sheaf Neural Networks. CoRR abs/2407.20597 (2024) - [i222]Panfeng Cao, Pietro Lio:
GenRec: Generative Personalized Sequential Recommendation. CoRR abs/2407.21191 (2024) - [i221]Yiqing Shen, Zan Chen, Michail Mamalakis, Yungeng Liu, Tianbin Li, Yanzhou Su, Junjun He, Pietro Liò, Yu Guang Wang:
TourSynbio: A Multi-Modal Large Model and Agent Framework to Bridge Text and Protein Sequences for Protein Engineering. CoRR abs/2408.15299 (2024) - [i220]Richard Bergna, Sergio Calvo-Ordoñez, Felix L. Opolka, Pietro Liò, José Miguel Hernández-Lobato:
Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations. CoRR abs/2408.16115 (2024) - [i219]Chong Wang, Mengyao Li, Junjun He, Zhongruo Wang, Erfan Darzi, Zan Chen, Jin Ye, Tianbin Li, Yanzhou Su, Jing Ke, Kaili Qu, Shuxin Li, Yi Yu, Pietro Liò, Tianyun Wang, Yu Guang Wang, Yiqing Shen:
A Survey for Large Language Models in Biomedicine. CoRR abs/2409.00133 (2024) - [i218]Zeno Kujawa, John Poole, Dobrik Georgiev, Danilo Numeroso, Pietro Liò:
Neural Algorithmic Reasoning with Multiple Correct Solutions. CoRR abs/2409.06953 (2024) - [i217]Luke Braithwaite, Iulia Duta, Pietro Liò:
Heterogeneous Sheaf Neural Networks. CoRR abs/2409.08036 (2024) - [i216]Vikash Singh, Matthew Khanzadeh, Vincent Davis, Harrison Rush, Emanuele Rossi, Jesse Shrader, Pietro Lio:
Bayesian Binary Search. CoRR abs/2410.01771 (2024) - [i215]Iulia Duta, Pietro Liò:
SPHINX: Structural Prediction using Hypergraph Inference Network. CoRR abs/2410.03208 (2024) - [i214]Shiye Su, Iulia Duta, Lucie Charlotte Magister, Pietro Liò:
Explaining Hypergraph Neural Networks: From Local Explanations to Global Concepts. CoRR abs/2410.07764 (2024) - [i213]Santanu Rathod, Pietro Lio, Xiao Zhang:
Predicting time-varying flux and balance in metabolic systems using structured neural-ODE processes. CoRR abs/2410.14426 (2024) - [i212]Dobrik Georgiev, JJ Wilson, Davide Buffelli, Pietro Liò:
Deep Equilibrium Algorithmic Reasoning. CoRR abs/2410.15059 (2024) - [i211]Jihan K. Zaki, Jakub Tomasik, Jade A. McCune, Sabine Bahn, Pietro Liò, Oren A. Scherman:
Explainable Deep Learning Framework for SERS Bio-quantification. CoRR abs/2411.08082 (2024) - [i210]Runyue Wang, Yu Tian, Pietro Liò, Ginestra Bianconi:
Dirac-Equation Signal Processing: Physics Boosts Topological Machine Learning. CoRR abs/2412.05132 (2024) - [i209]Kaiwen Zuo, Yirui Jiang, Fan Mo, Pietro Lio:
KG4Diagnosis: A Hierarchical Multi-Agent LLM Framework with Knowledge Graph Enhancement for Medical Diagnosis. CoRR abs/2412.16833 (2024) - 2023
- [j131]Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Liò, Marco Maggini, Stefano Melacci:
Logic Explained Networks. Artif. Intell. 314: 103822 (2023) - [j130]Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jingyun Wang, Pietro Lio:
MONEY: Ensemble learning for stock price movement prediction via a convolutional network with adversarial hypergraph model. AI Open 4: 165-174 (2023) - [j129]Phasit Charoenkwan, Chonlatip Pipattanaboon, Chanin Nantasenamat, Md. Mehedi Hasan, Mohammad Ali Moni, Pietro Lio', Watshara Shoombuatong:
PSRTTCA: A new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learning. Comput. Biol. Medicine 152: 106368 (2023) - [j128]Zhikang Wang, Qian Gao, Xiaoping Yi, Xinyu Zhang, Yiwen Zhang, Daokun Zhang, Pietro Liò, Chris Bain, Richard Bassed, Shanshan Li, Yuming Guo, Seiya Imoto, Jianhua Yao, Roger J. Daly, Jiangning Song:
Surformer: An interpretable pattern-perceptive survival transformer for cancer survival prediction from histopathology whole slide images. Comput. Methods Programs Biomed. 241: 107733 (2023) - [j127]Andrija Petrovic, Mladen Nikolic, Ugljesa Bugaric, Boris Delibasic, Pietro Liò:
Controlling highway toll stations using deep learning, queuing theory, and differential evolution. Eng. Appl. Artif. Intell. 119: 105683 (2023) - [j126]David Buterez, Jon Paul Janet, Steven J. Kiddle, Pietro Liò:
MF-PCBA: Multifidelity High-Throughput Screening Benchmarks for Drug Discovery and Machine Learning. J. Chem. Inf. Model. 63(9): 2667-2678 (2023) - [j125]Anjir Ahmed Chowdhury, S. M. Hasan Mahmud, Khadija Kubra Shahjalal Hoque, Kawsar Ahmed, Francis M. Bui, Pietro Lio, Mohammad Ali Moni, Fahad Ahmed Al-Zahrani:
StackFBAs: Detection of fetal brain abnormalities using CNN with stacking strategy from MRI images. J. King Saud Univ. Comput. Inf. Sci. 35(8): 101647 (2023) - [j124]Sören Dittmer, Michael Roberts, Julian D. Gilbey, Ander Biguri, Ian Selby, Anna Breger, Matthew Thorpe, Jonathan R. Weir-McCall, Effrossyni Gkrania-Klotsas, Anna Korhonen, Emily R. Jefferson, Georg Langs, Guang Yang, Helmut Prosch, Jan Stanczuk, Jing Tang, Judith Babar, Lorena Escudero Sanchez, Philip Teare, Mishal Patel, Marcel Wassin, Markus Holzer, Nicholas Walton, Pietro Lió, Tolou Shadbahr, Evis Sala, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb:
Navigating the development challenges in creating complex data systems. Nat. Mac. Intell. 5(7): 681-686 (2023) - [j123]Ramón Viñas, Chaitanya K. Joshi, Dobrik Georgiev, Phillip Lin, Bianca Dumitrascu, Eric R. Gamazon, Pietro Liò:
Hypergraph factorization for multi-tissue gene expression imputation. Nat. Mac. Intell. 5(7): 739-753 (2023) - [j122]Md. Shofiqul Islam, Khondokar Fida Hasan, Sunjida Sultana, Shahadat Uddin, Pietro Lio', Julian M. W. Quinn, Mohammad Ali Moni:
HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN. Neural Networks 162: 271-287 (2023) - [j121]Pietro Bongini, Franco Scarselli, Monica Bianchini, Giovanna Maria Dimitri, Niccolò Pancino, Pietro Lió:
Modular Multi-Source Prediction of Drug Side-Effects With DruGNN. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1211-1220 (2023) - [j120]Junwei Yang, Xiao-Xin Li, Feihong Liu, Dong Nie, Pietro Liò, Haikun Qi, Dinggang Shen:
Fast Multi-Contrast MRI Acquisition by Optimal Sampling of Information Complementary to Pre-Acquired MRI Contrast. IEEE Trans. Medical Imaging 42(5): 1363-1373 (2023) - [j119]Antonio Longa, Veronica Lachi, Gabriele Santin, Monica Bianchini, Bruno Lepri, Pietro Lio, Franco Scarselli, Andrea Passerini:
Graph Neural Networks for Temporal Graphs: State of the Art, Open Challenges, and Opportunities. Trans. Mach. Learn. Res. 2023 (2023) - [j118]Xiaofeng Lu, Fan Yang, Luwen Zou, Pietro Liò, Pan Hui:
An LTE Authentication and Key Agreement Protocol Based on the ECC Self-Certified Public Key. IEEE/ACM Trans. Netw. 31(3): 1101-1116 (2023) - [j117]Xiaofeng Lu, Chao Liu, Senhao Zhu, Yilu Mao, Pietro Lio, Pan Hui:
RLPTO: A Reinforcement Learning-Based Performance-Time Optimized Task and Resource Scheduling Mechanism for Distributed Machine Learning. IEEE Trans. Parallel Distributed Syst. 34(12): 3266-3279 (2023) - [c183]Andrei Margeloiu, Nikola Simidjievski, Pietro Liò, Mateja Jamnik:
Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data. AAAI 2023: 9081-9089 - [c182]Han Xuanyuan, Pietro Barbiero, Dobrik Georgiev, Lucie Charlotte Magister, Pietro Liò:
Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis. AAAI 2023: 10675-10683 - [c181]Alexander Norcliffe, Bogdan Cebere, Fergus Imrie, Pietro Liò, Mihaela van der Schaar:
SurvivalGAN: Generating Time-to-Event Data for Survival Analysis. AISTATS 2023: 10279-10304 - [c180]Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jingyun Wang, Pietro Lio:
A Rewiring Contrastive Patch PerformerMixer Framework for Graph Representation Learning. IEEE Big Data 2023: 5930-5939 - [c179]Xiuli Bi, Shizhan Tang, Zonglin Yang, Xin Deng, Bin Xiao, Pietro Liò:
MMCTNet: Multi-Modal Cony-Transformer Network for Predicting Good and Poor Outcomes in Cardiac Arrest Patients. CinC 2023: 1-4 - [c178]Lihao Liu, Jean Prost, Lei Zhu, Nicolas Papadakis, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
SCOTCH and SODA: A Transformer Video Shadow Detection Framework. CVPR 2023: 10449-10458 - [c177]Guillermo Bernárdez, Lev Telyatnikov, Eduard Alarcón, Albert Cabellos-Aparicio, Pere Barlet-Ros, Pietro Liò:
Topological Network Traffic Compression. GNNet@CoNEXT 2023: 7-12 - [c176]Steve Azzolin, Antonio Longa, Pietro Barbiero, Pietro Liò, Andrea Passerini:
Global Explainability of GNNs via Logic Combination of Learned Concepts. ICLR 2023 - [c175]Haitz Sáez de Ocáriz Borde, Anees Kazi, Federico Barbero, Pietro Liò:
Latent Graph Inference using Product Manifolds. ICLR 2023 - [c174]Zhongtian Sun, Alexandra I. Cristea, Pietro Lio, Jialin Yu:
Adaptive Distance Message Passing From the Multi-Relational Edge View. Tiny Papers @ ICLR 2023 - [c173]Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio, Frédéric Precioso, Mateja Jamnik, Giuseppe Marra:
Interpretable Neural-Symbolic Concept Reasoning. ICML 2023: 1801-1825 - [c172]Francesco Di Giovanni, Lorenzo Giusti, Federico Barbero, Giulia Luise, Pietro Lio, Michael M. Bronstein:
On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology. ICML 2023: 7865-7885 - [c171]Chaitanya K. Joshi, Cristian Bodnar, Simon V. Mathis, Taco Cohen, Pietro Lio:
On the Expressive Power of Geometric Graph Neural Networks. ICML 2023: 15330-15355 - [c170]Xiandong Zou, Xiangyu Zhao, Pietro Lio, Yiren Zhao:
Will More Expressive Graph Neural Networks Do Better on Generative Tasks? LoG 2023: 21 - [c169]Dobrik Georgiev, Danilo Numeroso, Davide Bacciu, Pietro Lio:
Neural Algorithmic Reasoning for Combinatorial Optimisation. LoG 2023: 28 - [c168]Alexander Campbell, Antonio Giuliano Zippo, Luca Passamonti, Nicola Toschi, Pietro Lio:
DBGSL: Dynamic Brain Graph Structure Learning. MIDL 2023: 1318-1345 - [c167]Alexander Campbell, Simeon Emilov Spasov, Nicola Toschi, Pietro Lio:
DBGDGM: Dynamic Brain Graph Deep Generative Model. MIDL 2023: 1346-1371 - [c166]Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Liò, Frédéric Precioso, Mateja Jamnik, Giuseppe Marra:
Interpretable Neural-Symbolic Concept Reasoning. NeSy 2023: 422-423 - [c165]Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Liò, Marco Maggini, Stefano Melacci:
Logic Explained Networks. NeSy 2023: 432-433 - [c164]Iulia Duta, Giulia Cassarà, Fabrizio Silvestri, Pietro Lió:
Sheaf Hypergraph Networks. NeurIPS 2023 - [c163]Francesco Giannini, Stefano Fioravanti, Oguzhan Keskin, Alisia Maria Lupidi, Lucie Charlotte Magister, Pietro Lió, Pietro Barbiero:
Interpretable Graph Networks Formulate Universal Algebra Conjectures. NeurIPS 2023 - [c162]Kai Yi, Bingxin Zhou, Yiqing Shen, Pietro Lió, Yuguang Wang:
Graph Denoising Diffusion for Inverse Protein Folding. NeurIPS 2023 - [c161]Oguzhan Keskin, Alisia Maria Lupidi, Stefano Fioravanti, Lucie Charlotte Magister, Pietro Barbiero, Pietro Lio, Francesco Giannini:
Bridging Equational Properties and Patterns on Graphs: an AI-Based Approach. TAG-ML 2023: 156-168 - [c160]Felix L. Opolka, Yin-Cong Zhi, Pietro Liò, Xiaowen Dong:
Graph classification Gaussian processes via spectral features. UAI 2023: 1575-1585 - [c159]Xiaofeng Lu, Xiaoyu Zhang, Pietro Lió:
GAT-DNS: DNS Multivariate Time Series Prediction Model Based on Graph Attention Network. WWW (Companion Volume) 2023: 127-131 - [c158]Gianluca Mittone, Filip Svoboda, Marco Aldinucci, Nicholas D. Lane, Pietro Lió:
A Federated Learning Benchmark for Drug-Target Interaction. WWW (Companion Volume) 2023: 1177-1181 - [c157]Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Mateja Jamnik, Pietro Liò:
Concept Distillation in Graph Neural Networks. xAI (3) 2023: 233-255 - [p1]Gabriele Ciravegna, Francesco Giannini, Pietro Barbiero, Marco Gori, Pietro Lio, Marco Maggini, Stefano Melacci:
Learning Logic Explanations by Neural Networks. Compendium of Neurosymbolic Artificial Intelligence 2023: 547-558 - [d3]Ramón Viñas, Chaitanya K. Joshi, Dobrik Georgiev, Phillip Lin, Bianca Dumitrascu, Pietro Liò, Eric R. Gamazon:
Hypergraph Factorisation Expression Quantitative Trait Loci. Zenodo, 2023
- [i208]Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Shan Xue, Chuan Zhou, Charu C. Aggarwal, Hao Peng, Wenbin Hu, Edwin R. Hancock, Pietro Liò:
A Comprehensive Survey of Graph-level Learning. CoRR abs/2301.05860 (2023) - [i207]Chaitanya K. Joshi, Cristian Bodnar, Simon V. Mathis, Taco Cohen, Pietro Liò:
On the Expressive Power of Geometric Graph Neural Networks. CoRR abs/2301.09308 (2023) - [i206]Alexander Campbell, Simeon E. Spasov, Nicola Toschi, Pietro Liò:
DBGDGM: Dynamic Brain Graph Deep Generative Model. CoRR abs/2301.11408 (2023) - [i205]Xiangyu Zhao, Hannes Stärk, Dominique Beaini, Pietro Liò, Yiren Zhao:
Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration. CoRR abs/2301.11517 (2023) - [i204]Antonio Longa, Veronica Lachi, Gabriele Santin, Monica Bianchini, Bruno Lepri, Pietro Liò, Franco Scarselli, Andrea Passerini:
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities. CoRR abs/2302.01018 (2023) - [i203]Francesco Di Giovanni, Lorenzo Giusti, Federico Barbero, Giulia Luise, Pietro Lio', Michael M. Bronstein:
On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology. CoRR abs/2302.02941 (2023) - [i202]Dmitry Kazhdan, Botty Dimanov, Lucie Charlotte Magister, Pietro Barbiero, Mateja Jamnik, Pietro Liò:
GCI: A (G)raph (C)oncept (I)nterpretation Framework. CoRR abs/2302.04899 (2023) - [i201]Filip Svoboda, Gianluca Mittone, Nicholas D. Lane, Pietro Liò:
A Federated Learning Benchmark for Drug-Target Interaction. CoRR abs/2302.07684 (2023) - [i200]Jin Zhu, Guang Yang, Pietro Liò:
A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuning. CoRR abs/2302.11184 (2023) - [i199]Alexander Norcliffe, Bogdan Cebere, Fergus Imrie, Pietro Liò, Mihaela van der Schaar:
SurvivalGAN: Generating Time-to-Event Data for Survival Analysis. CoRR abs/2302.12749 (2023) - [i198]Md. Shofiqul Islam, Khondokar Fida Hasan, Sunjida Sultana, Shahadat Uddin, Pietro Liò, Julian M. W. Quinn, Mohammad Ali Moni:
HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN. CoRR abs/2303.06020 (2023) - [i197]Giovanna Maria Dimitri, Simeon E. Spasov, Andrea Duggento, Luca Passamonti, Pietro Liò, Nicola Toschi:
Multimodal and multicontrast image fusion via deep generative models. CoRR abs/2303.15963 (2023) - [i196]Mehedi Hasan, Moloud Abdar, Abbas Khosravi, Uwe Aickelin, Pietro Lio', Ibrahim Hossain, Ashikur Rahman, Saeid Nahavandi:
Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing. CoRR abs/2304.04906 (2023) - [i195]Emma L. Ambags, Giulia Capitoli, Vincenzo L' Imperio, Michele Provenzano, Marco S. Nobile, Pietro Liò:
Assisting clinical practice with fuzzy probabilistic decision trees. CoRR abs/2304.07788 (2023) - [i194]Antonio Purificato, Giulia Cassarà, Pietro Liò, Fabrizio Silvestri:
Sheaf Neural Networks for Graph-based Recommender Systems. CoRR abs/2304.09097 (2023) - [i193]Francesco Bardozzo, Andrea Terlizzi, Pietro Liò, Roberto Tagliaferri:
ElegansNet: a brief scientific report and initial experiments. CoRR abs/2304.13538 (2023) - [i192]Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio', Frédéric Precioso, Mateja Jamnik, Giuseppe Marra:
Interpretable Neural-Symbolic Concept Reasoning. CoRR abs/2304.14068 (2023) - [i191]Pietro Barbiero, Stefano Fioravanti, Francesco Giannini, Alberto Tonda, Pietro Liò, Elena Di Lavore:
Categorical Foundations of Explainable AI: A Unifying Formalism of Structures and Semantics. CoRR abs/2304.14094 (2023) - [i190]King Fai Yeh, Paris D. L. Flood, William Redman, Pietro Liò:
Learning Linear Embeddings for Non-Linear Network Dynamics with Koopman Message Passing. CoRR abs/2305.09060 (2023) - [i189]Georg Wölflein, Lucie Charlotte Magister, Pietro Liò, David J. Harrison, Ognjen Arandjelovic:
Deep Multiple Instance Learning with Distance-Aware Self-Attention. CoRR abs/2305.10552 (2023) - [i188]Chaitanya K. Joshi, Arian R. Jamasb, Ramón Viñas, Charles Harris, Simon V. Mathis, Pietro Liò:
Multi-State RNA Design with Geometric Multi-Graph Neural Networks. CoRR abs/2305.14749 (2023) - [i187]Kamil Bujel, Yonatan Gideoni, Chaitanya K. Joshi, Pietro Liò:
Group Invariant Global Pooling. CoRR abs/2305.19207 (2023) - [i186]Francesco Caso, Giovanni Trappolini, Andrea Bacciu, Pietro Liò, Fabrizio Silvestri:
Renormalized Graph Neural Networks. CoRR abs/2306.00707 (2023) - [i185]Xiaoyong Mei, Yi Yang, Ming Li, Changqin Huang, Kai Zhang, Pietro Lió:
A Feature Reuse Framework with Texture-adaptive Aggregation for Reference-based Super-Resolution. CoRR abs/2306.01500 (2023) - [i184]Veronica Lachi, Giovanna Maria Dimitri, Alessandro Di Stefano, Pietro Liò, Monica Bianchini, Chiara Mocenni:
Impact of the Covid 19 outbreaks on the italian twitter vaccination debat: a network based analysis. CoRR abs/2306.02838 (2023) - [i183]Lorenzo Giusti, Teodora Reu, Francesco Ceccarelli, Cristian Bodnar, Pietro Liò:
CIN++: Enhancing Topological Message Passing. CoRR abs/2306.03561 (2023) - [i182]Felix L. Opolka, Yin-Cong Zhi, Pietro Liò, Xiaowen Dong:
Graph Classification Gaussian Processes via Spectral Features. CoRR abs/2306.03770 (2023) - [i181]Francesco Ceccarelli, Lorenzo Giusti, Sean B. Holden, Pietro Liò:
Neural Embeddings for Protein Graphs. CoRR abs/2306.04667 (2023) - [i180]Aleksa Bisercic, Mladen Nikolic, Mihaela van der Schaar, Boris Delibasic, Pietro Liò, Andrija Petrovic:
Interpretable Medical Diagnostics with Structured Data Extraction by Large Language Models. CoRR abs/2306.05052 (2023) - [i179]Zehui Li, Xiangyu Zhao, Mingzhu Shen, Guy-Bart Stan, Pietro Liò, Yiren Zhao:
Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs. CoRR abs/2306.05108 (2023) - [i178]Dobrik Georgiev, Danilo Numeroso, Davide Bacciu, Pietro Liò:
Neural Algorithmic Reasoning for Combinatorial Optimisation. CoRR abs/2306.06064 (2023) - [i177]Kai Yi, Bingxin Zhou, Yiqing Shen, Pietro Liò, Yu Guang Wang:
Graph Denoising Diffusion for Inverse Protein Folding. CoRR abs/2306.16819 (2023) - [i176]Gabriele Dominici, Pietro Barbiero, Lucie Charlotte Magister, Pietro Liò, Nikola Simidjievski:
SHARCS: Shared Concept Space for Explainable Multimodal Learning. CoRR abs/2307.00316 (2023) - [i175]Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Haiyang Yu, Yuqing Xie, Xiang Fu, Alex Strasser, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji:
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. CoRR abs/2307.08423 (2023) - [i174]Rishabh Jain, Petar Velickovic, Pietro Liò:
Neural Priority Queues for Graph Neural Networks. CoRR abs/2307.09660 (2023) - [i173]Francesco Giannini, Stefano Fioravanti, Oguzhan Keskin, Alisia Maria Lupidi, Lucie Charlotte Magister, Pietro Lio, Pietro Barbiero:
Interpretable Graph Networks Formulate Universal Algebra Conjectures. CoRR abs/2307.11688 (2023) - [i172]Guillermo Bernárdez, Lev Telyatnikov, Eduard Alarcón, Albert Cabellos-Aparicio, Pere Barlet-Ros, Pietro Liò:
Topological Graph Signal Compression. CoRR abs/2308.11068 (2023) - [i171]Xiandong Zou, Xiangyu Zhao, Pietro Liò, Yiren Zhao:
Will More Expressive Graph Neural Networks do Better on Generative Tasks? CoRR abs/2308.11978 (2023) - [i170]Richard Bergna, Felix L. Opolka, Pietro Liò, José Miguel Hernández-Lobato:
Graph Neural Stochastic Differential Equations. CoRR abs/2308.12316 (2023) - [i169]Michail Mamalakis, Héloïse de Vareilles, Atheer AI-Manea, Samantha C. Mitchell, Ingrid Agartz, Lynn Egeland Morch-Johnsen, Jane R. Garrison, Jon S. Simons, Pietro Lio, John Suckling, Graham K. Murray:
A 3D explainability framework to uncover learning patterns and crucial sub-regions in variable sulci recognition. CoRR abs/2309.00903 (2023) - [i168]Adrián Bazaga, Pietro Liò, Gos Micklem:
Unsupervised Fact Verification by Language Model Distillation. CoRR abs/2309.16540 (2023) - [i167]Iulia Duta, Giulia Cassarà, Fabrizio Silvestri, Pietro Liò:
Sheaf Hypergraph Networks. CoRR abs/2309.17116 (2023) - [i166]Lev Telyatnikov, Maria Sofia Bucarelli, Guillermo Bernárdez, Olga Zaghen, Simone Scardapane, Pietro Lio:
Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design. CoRR abs/2310.07684 (2023) - [i165]Adrián Bazaga, Pietro Liò, Gos Micklem:
SQLformer: Deep Auto-Regressive Query Graph Generation for Text-to-SQL Translation. CoRR abs/2310.18376 (2023) - [i164]Jialin Chen, Yuelin Wang, Cristian Bodnar, Rex Ying, Pietro Lio, Yuguang Wang:
Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation. CoRR abs/2311.05767 (2023) - [i163]Donato Crisostomi, Irene Cannistraci, Luca Moschella, Pietro Barbiero, Marco Ciccone, Pietro Liò, Emanuele Rodolà:
From Charts to Atlas: Merging Latent Spaces into One. CoRR abs/2311.06547 (2023) - [i162]Lihao Liu, Yanqi Cheng, Dongdong Chen, Jing He, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Traffic Video Object Detection using Motion Prior. CoRR abs/2311.10092 (2023) - [i161]Max Zhu, Sinisa Stanivuk, Andrija Petrovic, Mladen Nikolic, Pietro Lio:
Incorporating LLM Priors into Tabular Learners. CoRR abs/2311.11628 (2023) - [i160]Yuan Lu, Haitz Sáez de Ocáriz Borde, Pietro Liò:
AMES: A Differentiable Embedding Space Selection Framework for Latent Graph Inference. CoRR abs/2311.11891 (2023) - [i159]Zhenda Shen, Yanqi Cheng, Raymond H. Chan, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
TRIDENT: The Nonlinear Trilogy for Implicit Neural Representations. CoRR abs/2311.13610 (2023) - [i158]Jonas Jürß, Lucie Charlotte Magister, Pietro Barbiero, Pietro Liò, Nikola Simidjievski:
Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts. CoRR abs/2311.15112 (2023) - [i157]Isaac Brant, Alexander Norcliffe, Pietro Liò:
Fourier Neural Differential Equations for learning Quantum Field Theories. CoRR abs/2311.17250 (2023) - [i156]Andrea Marinoni, Pietro Lio', Alessandro Barp, Christian Jutten, Mark Girolami:
Improving embedding of graphs with missing data by soft manifolds. CoRR abs/2311.17598 (2023) - [i155]Keke Huang, Pietro Liò:
An Effective Universal Polynomial Basis for Spectral Graph Neural Networks. CoRR abs/2311.18177 (2023) - [i154]Lihao Liu, Yanqi Cheng, Zhongying Deng, Shujun Wang, Dongdong Chen, Xiaowei Hu, Pietro Liò, Carola-Bibiane Schönlieb, Angelica E. Avilés-Rivero:
TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios. CoRR abs/2311.18839 (2023) - [i153]Junwei Yang, Pietro Liò:
Dual-Domain Multi-Contrast MRI Reconstruction with Synthesis-based Fusion Network. CoRR abs/2312.00661 (2023) - [i152]Junwei Yang, Pietro Liò:
Unsupervised Adaptive Implicit Neural Representation Learning for Scan-Specific MRI Reconstruction. CoRR abs/2312.00677 (2023) - [i151]Alessandro Farace di Villaforesta, Lucie Charlotte Magister, Pietro Barbiero, Pietro Liò:
Digital Histopathology with Graph Neural Networks: Concepts and Explanations for Clinicians. CoRR abs/2312.02225 (2023) - [i150]Adrián Bazaga, Pietro Liò, Gos Micklem:
Language Model Knowledge Distillation for Efficient Question Answering in Spanish. CoRR abs/2312.04193 (2023) - [i149]Alexandre Duval, Simon V. Mathis, Chaitanya K. Joshi, Victor Schmidt, Santiago Miret, Fragkiskos D. Malliaros, Taco Cohen, Pietro Lio, Yoshua Bengio, Michael M. Bronstein:
A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems. CoRR abs/2312.07511 (2023) - [i148]Kieran Didi, Francisco Vargas, Simon V. Mathis, Vincent Dutordoir, Emile Mathieu, Urszula Julia Komorowska, Pietro Lio:
A framework for conditional diffusion modelling with applications in motif scaffolding for protein design. CoRR abs/2312.09236 (2023) - 2022
- [j116]Ramón Viñas, Helena Andrés-Terré, Pietro Liò, Kevin Bryson:
Adversarial generation of gene expression data. Bioinform. 38(3): 730-737 (2022) - [j115]David Buterez, Ioana Bica, Ifrah Tariq, Helena Andrés-Terré, Pietro Liò:
CellVGAE: an unsupervised scRNA-seq analysis workflow with graph attention networks. Bioinform. 38(5): 1277-1286 (2022) - [j114]Paul Scherer, Maja Trebacz, Nikola Simidjievski, Ramón Viñas, Zohreh Shams, Helena Andrés-Terré, Mateja Jamnik, Pietro Liò:
Unsupervised construction of computational graphs for gene expression data with explicit structural inductive biases. Bioinform. 38(5): 1320-1327 (2022) - [j113]Phasit Charoenkwan, Nalini Schaduangrat, Mohammad Ali Moni, Pietro Lio', Balachandran Manavalan, Watshara Shoombuatong:
SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins. Comput. Biol. Medicine 146: 105704 (2022) - [j112]Phasit Charoenkwan, Nalini Schaduangrat, Pietro Lio', Mohammad Ali Moni, Balachandran Manavalan, Watshara Shoombuatong:
NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptides. Comput. Biol. Medicine 148: 105700 (2022) - [j111]Helena Coggan, Helena Andrés-Terré, Pietro Liò:
A novel interpretable machine learning algorithm to identify optimal parameter space for cancer growth. Frontiers Big Data 5 (2022) - [j110]Giovanna Maria Dimitri, Simeon E. Spasov, Andrea Duggento, Luca Passamonti, Pietro Lió, Nicola Toschi:
Multimodal and multicontrast image fusion via deep generative models. Inf. Fusion 88: 146-160 (2022) - [j109]Xiaofeng Lu, Yuying Liao, Chao Liu, Pietro Liò, Pan Hui:
Heterogeneous Model Fusion Federated Learning Mechanism Based on Model Mapping. IEEE Internet Things J. 9(8): 6058-6068 (2022) - [j108]Phasit Charoenkwan, Pramote Chumnanpuen, Nalini Schaduangrat, Pietro Lio', Mohammad Ali Moni, Watshara Shoombuatong:
Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptides. J. Comput. Aided Mol. Des. 36(11): 781-796 (2022) - [j107]Tiago Azevedo, Alexander Campbell, Rafael Romero-Garcia, Luca Passamonti, Richard A. I. Bethlehem, Pietro Liò, Nicola Toschi:
A deep graph neural network architecture for modelling spatio-temporal dynamics in resting-state functional MRI data. Medical Image Anal. 79: 102471 (2022) - [j106]Stefanos Zafeiriou, Michael M. Bronstein, Taco Cohen, Oriol Vinyals, Le Song, Jure Leskovec, Pietro Liò, Joan Bruna, Marco Gori:
Guest Editorial: Non-Euclidean Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 723-726 (2022) - [j105]Yutong Chen, Carola-Bibiane Schönlieb, Pietro Liò, Tim Leiner, Pier Luigi Dragotti, Ge Wang, Daniel Rueckert, David N. Firmin, Guang Yang:
AI-Based Reconstruction for Fast MRI - A Systematic Review and Meta-Analysis. Proc. IEEE 110(2): 224-245 (2022) - [j104]Animesh Chaturvedi, Aruna Tiwari, Shubhangi Chaturvedi, Pietro Liò:
System Neural Network: Evolution and Change Based Structure Learning. IEEE Trans. Artif. Intell. 3(3): 426-435 (2022) - [c156]Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Lió, Marco Gori, Stefano Melacci:
Entropy-Based Logic Explanations of Neural Networks. AAAI 2022: 6046-6054 - [c155]Dobrik Georgiev, Pietro Barbiero, Dmitry Kazhdan, Petar Velickovic, Pietro Lió:
Algorithmic Concept-Based Explainable Reasoning. AAAI 2022: 6685-6693 - [c154]Felix L. Opolka, Yin-Cong Zhi, Pietro Liò, Xiaowen Dong:
Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets. AISTATS 2022: 4818-4834 - [c153]Felix L. Opolka, Pietro Liò:
Bayesian Link Prediction with Deep Graph Convolutional Gaussian Processes. AISTATS 2022: 4835-4852 - [c152]Xiaofeng Lu, Renyu Pang, Pietro Liò:
Poster: CFMAP: A Robust CPU Clock Fingerprint Model for Device Authentication. CCS 2022: 3407-3409 - [c151]Shea Cardozo, Gabriel Islas Montero, Dmitry Kazhdan, Botty Dimanov, Maleakhi A. Wijaya, Mateja Jamnik, Pietro Liò:
Explainer Divergence Scores (EDS): Some Post-Hoc Explanations May be Effective for Detecting Unknown Spurious Correlations. CIKM Workshops 2022 - [c150]Rishabh Jain, Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Davide Buffelli, Pietro Liò:
Extending Logic Explained Networks to Text Classification. EMNLP 2022: 8838-8857 - [c149]Alexander Campbell, Lorena Qendro, Pietro Liò, Cecilia Mascolo:
Robust and Efficient Uncertainty Aware Biosignal Classification via Early Exit Ensembles. ICASSP 2022: 3998-4002 - [c148]Shyam A. Tailor, Felix L. Opolka, Pietro Liò, Nicholas Donald Lane:
Do We Need Anisotropic Graph Neural Networks? ICLR 2022 - [c147]Junchao Fan, Jiawei Pei, Xiuli Bi, Bin Xiao, Pietro Liò:
Context Correlation Aware Network for Cardiac Segmentation. ICME 2022: 1-6 - [c146]Ben J. Day, Ramón Viñas Torné, Nikola Simidjievski, Pietro Lió:
Attentional Meta-learners for Few-shot Polythetic Classification. ICML 2022: 4867-4889 - [c145]Hannes Stärk, Dominique Beaini, Gabriele Corso, Prudencio Tossou, Christian Dallago, Stephan Günnemann, Pietro Lió:
3D Infomax improves GNNs for Molecular Property Prediction. ICML 2022: 20479-20502 - [c144]Michal Pándy, Weikang Qiu, Gabriele Corso, Petar Velickovic, Zhitao Ying, Jure Leskovec, Pietro Liò:
Learning Graph Search Heuristics. LoG 2022: 10 - [c143]Bingxin Zhou, Xinliang Liu, Yuehua Liu, Yunying Huang, Pietro Liò, Yuguang Wang:
Well-Conditioned Spectral Transforms for Dynamic Graph Representation. LoG 2022: 12 - [c142]Paul Scherer, Pietro Liò, Mateja Jamnik:
Distributed Representations of Graphs for Drug Pair Scoring. LoG 2022: 22 - [c141]Yu He, Petar Velickovic, Pietro Liò, Andreea Deac:
Continuous Neural Algorithmic Planners. LoG 2022: 54 - [c140]Pengfang Qian, Junwei Yang, Pietro Lió, Peng Hu, Haikun Qi:
Joint Group-Wise Motion Estimation and Segmentation of Cardiac Cine MR Images Using Recurrent U-Net. MIUA 2022: 65-74 - [c139]Xiaofeng Lu, Jinglun Zhao, Pietro Lió:
Robust android malware detection based on subgraph network and denoising GCN network. MobiSys 2022: 549-550 - [c138]Cristian Bodnar, Francesco Di Giovanni, Benjamin Paul Chamberlain, Pietro Lió, Michael M. Bronstein:
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs. NeurIPS 2022 - [c137]Davide Buffelli, Pietro Lió, Fabio Vandin:
SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks. NeurIPS 2022 - [c136]David Buterez, Jon Paul Janet, Steven J. Kiddle, Dino Oglic, Pietro Liò:
Graph Neural Networks with Adaptive Readouts. NeurIPS 2022 - [c135]Fergus Imrie, Alexander Norcliffe, Pietro Lió, Mihaela van der Schaar:
Composite Feature Selection Using Deep Ensembles. NeurIPS 2022 - [c134]Arian R. Jamasb, Ramón Viñas Torné, Eric Ma, Yuanqi Du, Charles Harris, Kexin Huang, Dominic Hall, Pietro Lió, Tom L. Blundell:
Graphein - a Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks. NeurIPS 2022 - [c133]Mateo Espinosa Zarlenga, Pietro Barbiero, Gabriele Ciravegna, Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Zohreh Shams, Frédéric Precioso, Stefano Melacci, Adrian Weller, Pietro Lió, Mateja Jamnik:
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off. NeurIPS 2022 - [c132]Federico Barbero, Cristian Bodnar, Haitz Sáez de Ocáriz Borde, Michael M. Bronstein, Petar Velickovic, Pietro Liò:
Sheaf Neural Networks with Connection Laplacians. TAG-ML 2022: 28-36 - [c131]Kai Yi, Jialin Chen, Yu Guang Wang, Bingxin Zhou, Pietro Liò, Yanan Fan, Jan Hamann:
APPROXIMATE EQUIVARIANCE SO(3) NEEDLET CONVOLUTION. TAG-ML 2022: 189-198 - [c130]Lihao Liu, Zhening Huang, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
You only Look at Patches: A Patch-wise Framework for 3D Unsupervised Medical Image Registration. WBIR 2022: 190-193 - [i147]Cristian Bodnar, Francesco Di Giovanni, Benjamin Paul Chamberlain, Pietro Liò, Michael M. Bronstein:
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs. CoRR abs/2202.04579 (2022) - [i146]Pietro Bongini, Franco Scarselli, Monica Bianchini, Giovanna Maria Dimitri, Niccolò Pancino, Pietro Liò:
Modular multi-source prediction of drug side-effects with DruGNN. CoRR abs/2202.08147 (2022) - [i145]Charles N. Christensen, Meng Lu, Edward N. Ward, Pietro Liò, Clemens F. Kaminski:
Spatio-temporal Vision Transformer for Super-resolution Microscopy. CoRR abs/2203.00030 (2022) - [i144]Lihao Liu, Zhening Huang, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
PC-SwinMorph: Patch Representation for Unsupervised Medical Image Registration and Segmentation. CoRR abs/2203.05684 (2022) - [i143]Jiahao Huang, Yingying Fang, Yang Nan, Huanjun Wu, Yinzhe Wu, Zhifan Gao, Yang Li, Zidong Wang, Pietro Liò, Daniel Rueckert, Yonina C. Eldar, Guang Yang:
Data and Physics Driven Learning Models for Fast MRI - Fundamentals and Methodologies from CNN, GAN to Attention and Transformers. CoRR abs/2204.01706 (2022) - [i142]Christopher Wei Jin Goh, Cristian Bodnar, Pietro Liò:
Simplicial Attention Networks. CoRR abs/2204.09455 (2022) - [i141]Tolou Shadbahr, Michael Roberts, Jan Stanczuk, Julian D. Gilbey, Philip Teare, Sören Dittmer, Matthew Thorpe, Ramón Viñas Torné, Evis Sala, Pietro Lió, Mishal Patel, AIX-COVNET Collaboration, James H. F. Rudd, Tuomas Mirtti, Antti Rannikko, John A. D. Aston, Jing Tang, Carola-Bibiane Schönlieb:
Classification of datasets with imputed missing values: does imputation quality matter? CoRR abs/2206.08478 (2022) - [i140]Federico Barbero, Cristian Bodnar, Haitz Sáez de Ocáriz Borde, Michael M. Bronstein, Petar Velickovic, Pietro Liò:
Sheaf Neural Networks with Connection Laplacians. CoRR abs/2206.08702 (2022) - [i139]Kai Yi, Jialin Chen, Yu Guang Wang, Bingxin Zhou, Pietro Liò, Yanan Fan, Jan Hamann:
Approximate Equivariance SO(3) Needlet Convolution. CoRR abs/2206.10385 (2022) - [i138]Davide Buffelli, Pietro Liò, Fabio Vandin:
SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks. CoRR abs/2207.07888 (2022) - [i137]Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Pietro Liò, Mateja Jamnik:
Encoding Concepts in Graph Neural Networks. CoRR abs/2207.13586 (2022) - [i136]Han Xuanyuan, Pietro Barbiero, Dobrik Georgiev, Lucie Charlotte Magister, Pietro Lió:
Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis. CoRR abs/2208.10609 (2022) - [i135]Mateo Espinosa Zarlenga, Pietro Barbiero, Gabriele Ciravegna, Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Zohreh Shams, Frédéric Precioso, Stefano Melacci, Adrian Weller, Pietro Liò, Mateja Jamnik:
Concept Embedding Models. CoRR abs/2209.09056 (2022) - [i134]Paul Scherer, Pietro Liò, Mateja Jamnik:
Distributed representations of graphs for drug pair scoring. CoRR abs/2209.09383 (2022) - [i133]Alexander Campbell, Antonio Giuliano Zippo, Luca Passamonti, Nicola Toschi, Pietro Liò:
DBGSL: Dynamic Brain Graph Structure Learning. CoRR abs/2209.13513 (2022) - [i132]Steve Azzolin, Antonio Longa, Pietro Barbiero, Pietro Liò, Andrea Passerini:
Global Explainability of GNNs via Logic Combination of Learned Concepts. CoRR abs/2210.07147 (2022) - [i131]Arne Schneuing, Yuanqi Du, Charles Harris, Arian R. Jamasb, Ilia Igashov, Weitao Du, Tom L. Blundell, Pietro Lió, Carla Gomes, Max Welling, Michael M. Bronstein, Bruno E. Correia:
Structure-based Drug Design with Equivariant Diffusion Models. CoRR abs/2210.13695 (2022) - [i130]Antonio Longa, Steve Azzolin, Gabriele Santin, Giulia Cencetti, Pietro Liò, Bruno Lepri, Andrea Passerini:
Explaining the Explainers in Graph Neural Networks: a Comparative Study. CoRR abs/2210.15304 (2022) - [i129]Fergus Imrie, Alexander Norcliffe, Pietro Liò, Mihaela van der Schaar:
Composite Feature Selection using Deep Ensembles. CoRR abs/2211.00631 (2022) - [i128]David Buterez, Jon Paul Janet, Steven J. Kiddle, Dino Oglic, Pietro Liò:
Graph Neural Networks with Adaptive Readouts. CoRR abs/2211.04952 (2022) - [i127]Andrei Margeloiu, Nikola Simidjievski, Pietro Lio', Mateja Jamnik:
Graph-Conditioned MLP for High-Dimensional Tabular Biomedical Data. CoRR abs/2211.06302 (2022) - [i126]Lihao Liu, Jean Prost, Lei Zhu, Nicolas Papadakis, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
SCOTCH and SODA: A Transformer Video Shadow Detection Framework. CoRR abs/2211.06885 (2022) - [i125]Carlos Purves, Pietro Liò, Catalina Cangea:
Goal-Conditioned Reinforcement Learning in the Presence of an Adversary. CoRR abs/2211.06929 (2022) - [i124]Shea Cardozo, Gabriel Islas Montero, Dmitry Kazhdan, Botty Dimanov, Maleakhi A. Wijaya, Mateja Jamnik, Pietro Liò:
Explainer Divergence Scores (EDS): Some Post-Hoc Explanations May be Effective for Detecting Unknown Spurious Correlations. CoRR abs/2211.07650 (2022) - [i123]Rishabh Jain, Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Davide Buffelli, Pietro Liò:
Extending Logic Explained Networks to Text Classification. CoRR abs/2211.09732 (2022) - [i122]Yana Lishkova, Paul Scherer, Steffen Ridderbusch, Mateja Jamnik, Pietro Liò, Sina Ober-Blöbaum, Christian Offen:
Discrete Lagrangian Neural Networks with Automatic Symmetry Discovery. CoRR abs/2211.10830 (2022) - [i121]Yin-Cong Zhi, Felix L. Opolka, Yin Cheng Ng, Pietro Liò, Xiaowen Dong:
Transductive Kernels for Gaussian Processes on Graphs. CoRR abs/2211.15322 (2022) - [i120]Harrison Mitchell, Alexander Norcliffe, Pietro Liò:
Learning Feynman Diagrams using Graph Neural Networks. CoRR abs/2211.15348 (2022) - [i119]Andrei Margeloiu, Nikola Simidjievski, Pietro Liò, Mateja Jamnik:
Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data. CoRR abs/2211.15616 (2022) - [i118]Yu He, Petar Velickovic, Pietro Liò, Andreea Deac:
Continuous Neural Algorithmic Planners. CoRR abs/2211.15839 (2022) - [i117]Haitz Sáez de Ocáriz Borde, Anees Kazi, Federico Barbero, Pietro Liò:
Latent Graph Inference using Product Manifolds. CoRR abs/2211.16199 (2022) - [i116]Michal Pándy, Weikang Qiu, Gabriele Corso, Petar Velickovic, Rex Ying, Jure Leskovec, Pietro Liò:
Learning Graph Search Heuristics. CoRR abs/2212.03978 (2022) - [i115]Aarjav Jain, Challenger Mishra, Pietro Liò:
A physics-informed search for metric solutions to Ricci flow, their embeddings, and visualisation. CoRR abs/2212.05892 (2022) - 2021
- [j103]Md. Rabiul Islam, Mohammad Ali Moni, Md. Milon Islam, Md Rashed-Al-Mahfuz, Md. Saiful Islam, Md. Kamrul Hasan, Md. Sabir Hossain, Mohiuddin Ahmad, Shahadat Uddin, A. K. M. Azad, Salem A. Alyami, Md. Atiqur Rahman Ahad, Pietro Lió:
Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning Techniques. IEEE Access 9: 94601-94624 (2021) - [j102]Zulkar Nain, Humayan Kabir Rana, Pietro Liò, Sheikh Mohammed Shariful Islam, Matthew A. Summers, Mohammad Ali Moni:
Pathogenetic profiling of COVID-19 and SARS-like viruses. Briefings Bioinform. 22(2): 1175-1196 (2021) - [j101]Kexin Chen, Haoming Xu, Yiming Lei, Pietro Lió, Yuan Li, Hongyan Guo, Mohammad Ali Moni:
Integration and interplay of machine learning and bioinformatics approach to identify genetic interaction related to ovarian cancer chemoresistance. Briefings Bioinform. 22(6) (2021) - [j100]Francesco Bardozzo, Pietro Lió, Roberto Tagliaferri:
Signal metrics analysis of oscillatory patterns in bacterial multi-omic networks. Bioinform. 37(10): 1411-1419 (2021) - [j99]Andrea Tangherloni, Federico Ricciuti, Daniela Besozzi, Pietro Liò, Ana Cvejic:
Analysis of single-cell RNA sequencing data based on autoencoders. BMC Bioinform. 22(1): 309 (2021) - [j98]Daniele D'Agostino, Pietro Liò, Marco Aldinucci, Ivan Merelli:
Advantages of using graph databases to explore chromatin conformation capture experiments. BMC Bioinform. 22-S(2): 43 (2021) - [j97]Cristian Bodnar, Catalina Cangea, Pietro Liò:
Deep Graph Mapper: Seeing Graphs Through the Neural Lens. Frontiers Big Data 4: 680535 (2021) - [j96]Jin Zhu, Chuan Tan, Junwei Yang, Guang Yang, Pietro Lio':
Arbitrary Scale Super-Resolution for Medical Images. Int. J. Neural Syst. 31(10): 2150037:1-2150037:20 (2021) - [j95]Mihaela van der Schaar, Ahmed M. Alaa, R. Andres Floto, Alexander Gimson, Stefan Scholtes, Angela M. Wood, Eoin F. McKinney, Daniel Jarrett, Pietro Lió, Ari Ercole:
How artificial intelligence and machine learning can help healthcare systems respond to COVID-19. Mach. Learn. 110(1): 1-14 (2021) - [j94]Xiaofeng Lu, Songbing Fu, Cheng Jiang, Pietro Lió:
A Fine-Grained IoT Data Access Control Scheme Combining Attribute-Based Encryption and Blockchain. Secur. Commun. Networks 2021: 5308206:1-5308206:13 (2021) - [j93]Marialisa Scatà, Alessandro Di Stefano, Aurelio La Corte, Pietro Liò:
A Multiplex Social Contagion Dynamics Model to Shape and Discriminate D2D Content Dissemination. IEEE Trans. Cogn. Commun. Netw. 7(2): 581-593 (2021) - [c129]Emma Rocheteau, Pietro Liò, Stephanie L. Hyland:
Temporal pointwise convolutional networks for length of stay prediction in the intensive care unit. CHIL 2021: 58-68 - [c128]Emanuele Bellini, Franco Bagnoli, Mauro Caporuscio, Ernesto Damiani, Francesco Flammini, Igor Linkov, Pietro Liò, Stefano Marrone:
Resilience learning through self adaptation in digital twins of human-cyber-physical systems. CSR 2021: 168-173 - [c127]Xiaofeng Lu, Pietro Liò:
International Workshop On Application of Intelligent Technology in Security - AITS 2021. DSN Workshops 2021: xiv-xv - [c126]Alexander Norcliffe, Cristian Bodnar, Ben Day, Jacob Moss, Pietro Liò:
Neural ODE Processes. ICLR 2021 - [c125]Dominique Beaini, Saro Passaro, Vincent Létourneau, William L. Hamilton, Gabriele Corso, Pietro Lió:
Directional Graph Networks. ICML 2021: 748-758 - [c124]Cristian Bodnar, Fabrizio Frasca, Yuguang Wang, Nina Otter, Guido F. Montúfar, Pietro Lió, Michael M. Bronstein:
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks. ICML 2021: 1026-1037 - [c123]Xuebin Zheng, Bingxin Zhou, Junbin Gao, Yuguang Wang, Pietro Lió, Ming Li, Guido Montúfar:
How Framelets Enhance Graph Neural Networks. ICML 2021: 12761-12771 - [c122]Nikola Zubic, Pietro Liò:
An Effective Loss Function for Generating 3D Models from Single 2D Image Without Rendering. AIAI 2021: 309-322 - [c121]Lorena Qendro, Alexander Campbell, Pietro Liò, Cecilia Mascolo:
Early Exit Ensembles for Uncertainty Quantification. ML4H@NeurIPS 2021: 181-195 - [c120]Isaac Sebenius, Alexander Campbell, Sarah E. Morgan, Edward T. Bullmore, Pietro Liò:
Multimodal Graph Coarsening for Interpretable, MRI-Based Brain Graph Neural Network. MLSP 2021: 1-6 - [c119]Cristian Bodnar, Fabrizio Frasca, Nina Otter, Yuguang Wang, Pietro Liò, Guido F. Montúfar, Michael M. Bronstein:
Weisfeiler and Lehman Go Cellular: CW Networks. NeurIPS 2021: 2625-2640 - [c118]Gabriele Corso, Zhitao Ying, Michal Pándy, Petar Velickovic, Jure Leskovec, Pietro Liò:
Neural Distance Embeddings for Biological Sequences. NeurIPS 2021: 18539-18551 - [i114]Emma Rocheteau, Catherine Tong, Petar Velickovic, Nicholas D. Lane, Pietro Liò:
Predicting Patient Outcomes with Graph Representation Learning. CoRR abs/2101.03940 (2021) - [i113]Xuebin Zheng, Bingxin Zhou, Junbin Gao, Yu Guang Wang, Pietro Liò, Ming Li, Guido Montúfar:
How Framelets Enhance Graph Neural Networks. CoRR abs/2102.06986 (2021) - [i112]Cristian Bodnar, Fabrizio Frasca, Yu Guang Wang, Nina Otter, Guido Montúfar, Pietro Liò, Michael M. Bronstein:
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks. CoRR abs/2103.03212 (2021) - [i111]Nikola Zubic, Pietro Liò:
An Effective Loss Function for Generating 3D Models from Single 2D Image without Rendering. CoRR abs/2103.03390 (2021) - [i110]Alexander Norcliffe, Cristian Bodnar, Ben Day, Jacob Moss, Pietro Liò:
Neural ODE Processes. CoRR abs/2103.12413 (2021) - [i109]Shyam A. Tailor, Felix L. Opolka, Pietro Liò, Nicholas D. Lane:
Adaptive Filters and Aggregator Fusion for Efficient Graph Convolutions. CoRR abs/2104.01481 (2021) - [i108]Dmitry Kazhdan, Botty Dimanov, Helena Andrés-Terré, Mateja Jamnik, Pietro Liò, Adrian Weller:
Is Disentanglement all you need? Comparing Concept-based & Disentanglement Approaches. CoRR abs/2104.06917 (2021) - [i107]Ben Day, Alexander Norcliffe, Jacob Moss, Pietro Liò:
Meta-learning using privileged information for dynamics. CoRR abs/2104.14290 (2021) - [i106]Jin Zhu, Chuan Tan, Junwei Yang, Guang Yang, Pietro Lio':
MIASSR: An Approach for Medical Image Arbitrary Scale Super-Resolution. CoRR abs/2105.10738 (2021) - [i105]Alice Del Vecchio, Andreea Deac, Pietro Liò, Petar Velickovic:
Neural message passing for joint paratope-epitope prediction. CoRR abs/2106.00757 (2021) - [i104]Ben Day, Ramón Viñas, Nikola Simidjievski, Pietro Liò:
Attentional meta-learners are polythetic classifiers. CoRR abs/2106.05317 (2021) - [i103]Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Lió, Marco Gori, Stefano Melacci:
Entropy-based Logic Explanations of Neural Networks. CoRR abs/2106.06804 (2021) - [i102]Cristian Bodnar, Fabrizio Frasca, Nina Otter, Yu Guang Wang, Pietro Liò, Guido Montúfar, Michael M. Bronstein:
Weisfeiler and Lehman Go Cellular: CW Networks. CoRR abs/2106.12575 (2021) - [i101]Dobrik Georgiev, Pietro Barbiero, Dmitry Kazhdan, Petar Velickovic, Pietro Liò:
Algorithmic Concept-based Explainable Reasoning. CoRR abs/2107.07493 (2021) - [i100]Lorena Qendro, Alexander Campbell, Pietro Liò, Cecilia Mascolo:
High Frequency EEG Artifact Detection with Uncertainty via Early Exit Paradigm. CoRR abs/2107.10746 (2021) - [i99]Amine Amor, Pietro Lio', Vikash Singh, Ramón Viñas Torné, Helena Andrés-Terré:
Graph Representation Learning on Tissue-Specific Multi-Omics. CoRR abs/2107.11856 (2021) - [i98]Lucie Charlotte Magister, Dmitry Kazhdan, Vikash Singh, Pietro Liò:
GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks. CoRR abs/2107.11889 (2021) - [i97]Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Lió, Marco Maggini, Stefano Melacci:
Logic Explained Networks. CoRR abs/2108.05149 (2021) - [i96]Max Zhu, Pietro Lió, Jacob Moss:
Modular Neural Ordinary Differential Equations. CoRR abs/2109.07359 (2021) - [i95]Gabriele Corso, Rex Ying, Michal Pándy, Petar Velickovic, Jure Leskovec, Pietro Liò:
Neural Distance Embeddings for Biological Sequences. CoRR abs/2109.09740 (2021) - [i94]Jacob Moss, Felix L. Opolka, Bianca Dumitrascu, Pietro Lió:
Approximate Latent Force Model Inference. CoRR abs/2109.11851 (2021) - [i93]James King, Ramón Viñas Torné, Alexander Campbell, Pietro Liò:
An investigation of pre-upsampling generative modelling and Generative Adversarial Networks in audio super resolution. CoRR abs/2109.14994 (2021) - [i92]Hannes Stärk, Dominique Beaini, Gabriele Corso, Prudencio Tossou, Christian Dallago, Stephan Günnemann, Pietro Liò:
3D Infomax improves GNNs for Molecular Property Prediction. CoRR abs/2110.04126 (2021) - [i91]Felix L. Opolka, Yin-Cong Zhi, Pietro Liò, Xiaowen Dong:
Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets. CoRR abs/2110.12752 (2021) - [i90]Pavol Drotár, Arian Rokkum Jamasb, Ben Day, Catalina Cangea, Pietro Liò:
Structure-aware generation of drug-like molecules. CoRR abs/2111.04107 (2021) - [i89]Junwei Yang, Xiao-Xin Li, Feihong Liu, Dong Nie, Pietro Liò, Haikun Qi, Dinggang Shen:
Fast T2w/FLAIR MRI Acquisition by Optimal Sampling of Information Complementary to Pre-acquired T1w MRI. CoRR abs/2111.06400 (2021) - [i88]Bingxin Zhou, Xinliang Liu, Yuehua Liu, Yunying Huang, Pietro Liò, Yuguang Wang:
Spectral Transform Forms Scalable Transformer. CoRR abs/2111.07602 (2021) - [i87]Jacob Deasy, Nikola Simidjievski, Pietro Liò:
Heavy-tailed denoising score matching. CoRR abs/2112.09788 (2021) - [i86]Yutong Chen, Carola-Bibiane Schönlieb, Pietro Liò, Tim Leiner, Pier Luigi Dragotti, Gerald Wang, Daniel Rueckert, David N. Firmin, Guang Yang:
AI-based Reconstruction for Fast MRI - A Systematic Review and Meta-analysis. CoRR abs/2112.12744 (2021) - 2020
- [j92]Xiaofeng Lu, Yuying Liao, Pietro Liò, Pan Hui:
Privacy-Preserving Asynchronous Federated Learning Mechanism for Edge Network Computing. IEEE Access 8: 48970-48981 (2020) - [j91]Xiaofeng Lu, Xiao Zhou, Wenting Wang, Pietro Liò, Pan Hui:
Domain-Oriented Topic Discovery Based on Features Extraction and Topic Clustering. IEEE Access 8: 93648-93662 (2020) - [j90]Eugenio Del Prete, Angelo M. Facchiano, Pietro Liò:
Bioinformatics methodologies for coeliac disease and its comorbidities. Briefings Bioinform. 21(1): 355-367 (2020) - [j89]Xiaofeng Lu, Shengfei Zhang, Pan Hui, Pietro Liò:
Continuous authentication by free-text keystroke based on CNN and RNN. Comput. Secur. 96: 101861 (2020) - [j88]Ivan Merelli, Pietro Liò, Igor V. Kotenko, Daniele D'Agostino:
Latest advances in parallel, distributed, and network-based processing. Concurr. Comput. Pract. Exp. 32(10) (2020) - [j87]Md. Martuza Ahamad, Sakifa Aktar, Md Rashed-Al-Mahfuz, Shahadat Uddin, Pietro Liò, Haoming Xu, Matthew A. Summers, Julian M. W. Quinn, Mohammad Ali Moni:
A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients. Expert Syst. Appl. 160: 113661 (2020) - [j86]Xiaofeng Lu, Xiaoming Wang, Pietro Lio', Pan Hui:
DADIM: A distance adjustment dynamic influence map model. Future Gener. Comput. Syst. 112: 1122-1130 (2020) - [j85]Tamara Müller, Pietro Liò:
PECLIDES Neuro: A Personalisable Clinical Decision Support System for Neurological Diseases. Frontiers Artif. Intell. 3: 23 (2020) - [j84]Simone Pernice, Laura Follia, Gianfranco Balbo, Luciano Milanesi, Giulia Sartini, Niccoló Totis, Pietro Lió, Ivan Merelli, Francesca Cordero, Marco Beccuti:
Integrating Petri Nets and Flux Balance Methods in Computational Biology Models: a Methodological and Computational Practice. Fundam. Informaticae 171(1-4): 367-392 (2020) - [j83]Alessandro Di Stefano, Marialisa Scatà, Barbara Attanasio, Aurelio La Corte, Pietro Lió, Sajal K. Das:
A Novel Methodology for designing Policies in Mobile Crowdsensing Systems. Pervasive Mob. Comput. 67: 101230 (2020) - [j82]Catalina Cangea, Petar Velickovic, Pietro Liò:
XFlow: Cross-Modal Deep Neural Networks for Audiovisual Classification. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3711-3720 (2020) - [c117]Cristian Bodnar, Ben Day, Pietro Lió:
Proximal Distilled Evolutionary Reinforcement Learning. AAAI 2020: 3283-3290 - [c116]Dmitry Kazhdan, Botty Dimanov, Mateja Jamnik, Pietro Liò, Adrian Weller:
Now You See Me (CME): Concept-based Model Extraction. CIKM (Workshops) 2020 - [c115]Alexandru-Catalin Filip, Tiago Azevedo, Luca Passamonti, Nicola Toschi, Pietro Liò:
A novel Graph Attention Network Architecture for modeling multimodal brain connectivity. EMBC 2020: 1071-1074 - [c114]Tiago Azevedo, Luca Passamonti, Pietro Liò, Nicola Toschi:
A deep spatiotemporal graph learning architecture for brain connectivity analysis. EMBC 2020: 1120-1123 - [c113]Giovanna Maria Dimitri, Simeon E. Spasov, Andrea Duggento, Luca Passamonti, Pietro Lio', Nicola Toschi:
Unsupervised stratification in neuroimaging through deep latent embeddings. EMBC 2020: 1568-1571 - [c112]Alessandro Di Stefano, Damiano Di Francesco Maesa, Sajal K. Das, Pietro Liò:
Resolution of Blockchain Conflicts through Heuristics-based Game Theory and Multilayer Network Modeling. ICDCN 2020: 1:1-1:10 - [c111]Duo Wang, Mateja Jamnik, Pietro Liò:
Abstract Diagrammatic Reasoning with Multiplex Graph Networks. ICLR 2020 - [c110]Chuan Tan, Jin Zhu, Pietro Lio':
Arbitrary Scale Super-Resolution for Brain MRI Images. AIAI (1) 2020: 165-176 - [c109]Dmitry Kazhdan, Zohreh Shams, Pietro Liò:
MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library. IJCNN 2020: 1-8 - [c108]Gabriele Corso, Luca Cavalleri, Dominique Beaini, Pietro Liò, Petar Velickovic:
Principal Neighbourhood Aggregation for Graph Nets. NeurIPS 2020 - [c107]Jacob Deasy, Nikola Simidjievski, Pietro Lió:
Constraining Variational Inference with Geometric Jensen-Shannon Divergence. NeurIPS 2020 - [c106]Zheng Ma, Junyu Xuan, Yu Guang Wang, Ming Li, Pietro Liò:
Path Integral Based Convolution and Pooling for Graph Neural Networks. NeurIPS 2020 - [c105]Alexander Norcliffe, Cristian Bodnar, Ben Day, Nikola Simidjievski, Pietro Lió:
On Second Order Behaviour in Augmented Neural ODEs. NeurIPS 2020 - [c104]Gevorg Yeghikyan, Felix L. Opolka, Mirco Nanni, Bruno Lepri, Pietro Liò:
Learning Mobility Flows from Urban Features with Spatial Interaction Models and Neural Networks**To appear in the Proceedings of 2020 IEEE International Conference on Smart Computing (SMARTCOMP 2020). SMARTCOMP 2020: 57-64 - [d2]Pietro Barbiero, Pietro Liò:
pietrobarbiero/computational-patient: Absolutno. Zenodo, 2020 - [d1]Pietro Barbiero, Ramón Viñas Torné, Pietro Liò:
pietrobarbiero/digital-patient: Absolutno. Zenodo, 2020 - [i85]Francesco Bardozzo, Pietro Liò, Roberto Tagliaferri:
A machine learning approach to investigate regulatory control circuits in bacterial metabolic pathways. CoRR abs/2001.04794 (2020) - [i84]Alessandro Di Stefano, Marialisa Scatà, Barbara Attanasio, Aurelio La Corte, Pietro Liò, Sajal K. Das:
A Novel Methodology for designing Policies in Mobile Crowdsensing Systems. CoRR abs/2001.06437 (2020) - [i83]Cristian Bodnar, Catalina Cangea, Pietro Liò:
Deep Graph Mapper: Seeing Graphs through the Neural Lens. CoRR abs/2002.03864 (2020) - [i82]Felix L. Opolka, Pietro Liò:
Graph Convolutional Gaussian Processes For Link Prediction. CoRR abs/2002.04337 (2020) - [i81]Jacob Deasy, Ari Ercole, Pietro Liò:
Adaptive Prediction Timing for Electronic Health Records. CoRR abs/2003.02554 (2020) - [i80]Tiago Azevedo, Luca Passamonti, Pietro Liò, Nicola Toschi:
Towards a predictive spatio-temporal representation of brain data. CoRR abs/2003.03290 (2020) - [i79]Paul Scherer, Pietro Liò:
Learning distributed representations of graphs with Geo2DR. CoRR abs/2003.05926 (2020) - [i78]Yiren Zhao, Duo Wang, Xitong Gao, Robert D. Mullins, Pietro Liò, Mateja Jamnik:
Probabilistic Dual Network Architecture Search on Graphs. CoRR abs/2003.09676 (2020) - [i77]Charles N. Christensen, Edward N. Ward, Pietro Lió, Clemens F. Kaminski:
ML-SIM: A deep neural network for reconstruction of structured illumination microscopy images. CoRR abs/2003.11064 (2020) - [i76]Chuan Tan, Jin Zhu, Pietro Lio':
Arbitrary Scale Super-Resolution for Brain MRI Images. CoRR abs/2004.02086 (2020) - [i75]Gabriele Corso, Luca Cavalleri, Dominique Beaini, Pietro Liò, Petar Velickovic:
Principal Neighbourhood Aggregation for Graph Nets. CoRR abs/2004.05718 (2020) - [i74]Dmitry Kazhdan, Zohreh Shams, Pietro Liò:
MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library. CoRR abs/2004.07928 (2020) - [i73]Gevorg Yeghikyan, Felix L. Opolka, Mirco Nanni, Bruno Lepri, Pietro Lio':
Learning Mobility Flows from Urban Features with Spatial Interaction Models and Neural Networks. CoRR abs/2004.11924 (2020) - [i72]Dobrik Georgiev, Pietro Lió:
Neural Bipartite Matching. CoRR abs/2005.11304 (2020) - [i71]Paris D. L. Flood, Ramón Viñas, Pietro Liò:
Kolmogorov Regularization for Link Prediction. CoRR abs/2006.04258 (2020) - [i70]Alex Campbell, Pietro Liò:
tvGP-VAE: Tensor-variate Gaussian Process Prior Variational Autoencoder. CoRR abs/2006.04788 (2020) - [i69]Pietro Barbiero, Pietro Lió:
The Computational Patient has Diabetes and a COVID. CoRR abs/2006.06435 (2020) - [i68]Alexander Norcliffe, Cristian Bodnar, Ben Day, Nikola Simidjievski, Pietro Liò:
On Second Order Behaviour in Augmented Neural ODEs. CoRR abs/2006.07220 (2020) - [i67]Duo Wang, Mateja Jamnik, Pietro Liò:
Generalisable Relational Reasoning With Comparators in Low-Dimensional Manifolds. CoRR abs/2006.08698 (2020) - [i66]Jacob Deasy, Nikola Simidjievski, Pietro Liò:
Constraining Variational Inference with Geometric Jensen-Shannon Divergence. CoRR abs/2006.10599 (2020) - [i65]Duo Wang, Mateja Jamnik, Pietro Liò:
Abstract Diagrammatic Reasoning with Multiplex Graph Networks. CoRR abs/2006.11197 (2020) - [i64]Alex Lipov, Pietro Liò:
A Multiscale Graph Convolutional Network Using Hierarchical Clustering. CoRR abs/2006.12542 (2020) - [i63]Vasileios Karavias, Ben Day, Pietro Liò:
Uncertainty in Neural Relational Inference Trajectory Reconstruction. CoRR abs/2006.13666 (2020) - [i62]Emma Rocheteau, Pietro Liò, Stephanie L. Hyland:
Predicting Length of Stay in the Intensive Care Unit with Temporal Pointwise Convolutional Networks. CoRR abs/2006.16109 (2020) - [i61]Zheng Ma, Junyu Xuan, Yu Guang Wang, Ming Li, Pietro Lió:
Path Integral Based Convolution and Pooling for Graph Neural Networks. CoRR abs/2006.16811 (2020) - [i60]Samuel Glass, Simeon E. Spasov, Pietro Liò:
RicciNets: Curvature-guided Pruning of High-performance Neural Networks Using Ricci Flow. CoRR abs/2007.04216 (2020) - [i59]Abdorrahim Bahrami, Elisabetta De Maria, Joëlle Despeyroux, Amy P. Felty, Pietro Lió, Carlos Olarte:
Computational Logic for Biomedicine and Neurosciences. CoRR abs/2007.07571 (2020) - [i58]Simeon E. Spasov, Alessandro Di Stefano, Pietro Liò, Jian Tang:
GRADE: Graph Dynamic Embedding. CoRR abs/2007.08060 (2020) - [i57]Emma Rocheteau, Pietro Liò, Stephanie L. Hyland:
Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit. CoRR abs/2007.09483 (2020) - [i56]Francesco Bardozzo, Pietro Liò, Roberto Tagliaferri:
Signal metrics analysis of oscillatory patterns in bacterial multi-omic networks. CoRR abs/2008.00263 (2020) - [i55]Pietro Barbiero, Ramón Viñas Torné, Pietro Lió:
Graph representation forecasting of patient's medical conditions: towards a digital twin. CoRR abs/2009.08299 (2020) - [i54]Yiren Zhao, Duo Wang, Daniel Bates, Robert D. Mullins, Mateja Jamnik, Pietro Liò:
Learned Low Precision Graph Neural Networks. CoRR abs/2009.09232 (2020) - [i53]Ben Day, Catalina Cangea, Arian R. Jamasb, Pietro Liò:
Message Passing Neural Processes. CoRR abs/2009.13895 (2020) - [i52]Vijja Wichitwechkarn, Ben Day, Cristian Bodnar, Matthew Wales, Pietro Liò:
The Role of Isomorphism Classes in Multi-Relational Datasets. CoRR abs/2009.14593 (2020) - [i51]Paul Scherer, Maja Trebacz, Nikola Simidjievski, Zohreh Shams, Helena Andrés-Terré, Pietro Liò, Mateja Jamnik:
Incorporating network based protein complex discovery into automated model construction. CoRR abs/2010.00387 (2020) - [i50]Jacob Moss, Pietro Lió:
Gene Regulatory Network Inference with Latent Force Models. CoRR abs/2010.02555 (2020) - [i49]Dominique Beaini, Saro Passaro, Vincent Létourneau, William L. Hamilton, Gabriele Corso, Pietro Liò:
Directional Graph Networks. CoRR abs/2010.02863 (2020) - [i48]Dmitry Kazhdan, Botty Dimanov, Mateja Jamnik, Pietro Liò, Adrian Weller:
Now You See Me (CME): Concept-based Model Extraction. CoRR abs/2010.13233 (2020) - [i47]Maja Trebacz, Zohreh Shams, Mateja Jamnik, Paul Scherer, Nikola Simidjievski, Helena Andrés-Terré, Pietro Liò:
Using ontology embeddings for structural inductive bias in gene expression data analysis. CoRR abs/2011.10998 (2020) - [i46]Dmitry Kazhdan, Botty Dimanov, Mateja Jamnik, Pietro Liò:
MEME: Generating RNN Model Explanations via Model Extraction. CoRR abs/2012.06954 (2020)
2010 – 2019
- 2019
- [j81]Tania Akter, Md. Shahriare Satu, Md. Imran Khan, Mohammad Hanif Ali, Shahadat Uddin, Pietro Lió, Julian M. W. Quinn, Mohammad Ali Moni:
Machine Learning-Based Models for Early Stage Detection of Autism Spectrum Disorders. IEEE Access 7: 166509-166527 (2019) - [j80]Andrea Tangherloni, Simone Spolaor, Leonardo Rundo, Marco S. Nobile, Paolo Cazzaniga, Giancarlo Mauri, Pietro Liò, Ivan Merelli, Daniela Besozzi:
GenHap: a novel computational method based on genetic algorithms for haplotype assembly. BMC Bioinform. 20-S(4): 172:1-172:14 (2019) - [j79]Humayan Kabir Rana, Mst. Rashida Akhtar, M. Babul Islam, Mohammad Boshir Ahmed, Pietro Liò, Julian M. W. Quinn, Fazlul Huq, Mohammad Ali Moni:
Genetic effects of welding fumes on the development of respiratory system diseases. Comput. Biol. Medicine 108: 142-149 (2019) - [j78]Xiaofeng Lu, Fangshuo Jiang, Xiao Zhou, Shengwei Yi, Jing Sha, Pietro Liò:
ASSCA: API sequence and statistics features combined architecture for malware detection. Comput. Networks 157: 99-111 (2019) - [j77]Mogana Darshini Ganggayah, Nur Aishah Taib, Yip Cheng Har, Pietro Lió, Sarinder Kaur Dhillon:
Predicting factors for survival of breast cancer patients using machine learning techniques. BMC Medical Informatics Decis. Mak. 19(1): 48:1-48:17 (2019) - [j76]Simeon E. Spasov, Luca Passamonti, Andrea Duggento, Pietro Liò, Nicola Toschi:
A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease. NeuroImage 189: 276-287 (2019) - [j75]Alessandro Di Stefano, Marialisa Scatà, Supreeta Vijayakumar, Claudio Angione, Aurelio La Corte, Pietro Liò:
Social dynamics modeling of chrono-nutrition. PLoS Comput. Biol. 15(1) (2019) - [c103]Victor Prokhorov, Mohammad Taher Pilehvar, Dimitri Kartsaklis, Pietro Liò, Nigel Collier:
Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces. AAAI 2019: 6900-6907 - [c102]Simeon E. Spasov, Pietro Liò:
Dynamic Neural Network Channel Execution for Efficient Training. BMVC 2019: 89 - [c101]Daniele D'Agostino, Pietro Liò, Marco Aldinucci, Ivan Merelli:
NeoHiC: A Web Application for the Analysis of Hi-C Data. CIBB 2019: 98-107 - [c100]Alessandro Di Stefano, Marialisa Scatà, Aurelio La Corte, Sajal K. Das, Pietro Liò:
Improving QoE in Multi-layer Social Sensing: A Cognitive Architecture and Game Theoretic Model. SocialSens@CPSIoTWeek 2019: 18-23 - [c99]Petar Velickovic, William Fedus, William L. Hamilton, Pietro Liò, Yoshua Bengio, R. Devon Hjelm:
Deep Graph Infomax. ICLR (Poster) 2019 - [c98]Tiago Azevedo, Luca Passamonti, Pietro Liò, Nicola Toschi:
A Machine Learning Tool for Interpreting Differences in Cognition Using Brain Features. AIAI 2019: 475-486 - [c97]Jin Zhu, Guang Yang, Pietro Liò:
How Can We Make Gan Perform Better in Single Medical Image Super-Resolution? A Lesion Focused Multi-Scale Approach. ISBI 2019: 1669-1673 - [c96]Jin Zhu, Guang Yang, Pietro Lió:
Lesion focused super-resolution. Image Processing 2019: 109491L - [e11]Luca Maria Aiello, Chantal Cherifi, Hocine Cherifi, Renaud Lambiotte, Pietro Lió, Luis M. Rocha:
Complex Networks and Their Applications VII - Volume 1 Proceedings The 7th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2018, Cambridge, UK, December 11-13, 2018. Studies in Computational Intelligence 812, Springer 2019, ISBN 978-3-030-05410-6 [contents] - [e10]Luca Maria Aiello, Chantal Cherifi, Hocine Cherifi, Renaud Lambiotte, Pietro Lió, Luis M. Rocha:
Complex Networks and Their Applications VII - Volume 2 Proceedings The 7th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2018. Studies in Computational Intelligence 813, Springer 2019, ISBN 978-3-030-05413-7 [contents] - [e9]Pietro Liò, Paolo Zuliani:
Automated Reasoning for Systems Biology and Medicine. Computational Biology 30, Springer 2019, ISBN 978-3-030-17296-1 [contents] - [i45]Catalina Cangea, Eugene Belilovsky, Pietro Liò, Aaron C. Courville:
VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering. ViGIL@NeurIPS 2019 - [i44]Jin Zhu, Guang Yang, Pietro Liò:
How Can We Make GAN Perform Better in Single Medical Image Super-Resolution? A Lesion Focused Multi-Scale Approach. CoRR abs/1901.03419 (2019) - [i43]Alexander G. Rakowski, Petar Velickovic, Enrico Dall'Ara, Pietro Liò:
ChronoMID - Cross-Modal Neural Networks for 3-D Temporal Medical Imaging Data. CoRR abs/1901.03906 (2019) - [i42]Duo Wang, Mateja Jamnik, Pietro Liò:
Unsupervised and interpretable scene discovery with Discrete-Attend-Infer-Repeat. CoRR abs/1903.06581 (2019) - [i41]Enxhell Luzhnica, Ben Day, Pietro Liò:
Clique pooling for graph classification. CoRR abs/1904.00374 (2019) - [i40]Felix L. Opolka, Aaron Solomon, Catalina Cangea, Petar Velickovic, Pietro Liò, R. Devon Hjelm:
Spatio-Temporal Deep Graph Infomax. CoRR abs/1904.06316 (2019) - [i39]Andreea Deac, Yu-Hsiang Huang, Petar Velickovic, Pietro Liò, Jian Tang:
Drug-Drug Adverse Effect Prediction with Graph Co-Attention. CoRR abs/1905.00534 (2019) - [i38]Enxhell Luzhnica, Ben Day, Pietro Liò:
On Graph Classification Networks, Datasets and Baselines. CoRR abs/1905.04682 (2019) - [i37]Simeon E. Spasov, Pietro Liò:
Dynamic Neural Network Channel Execution for Efficient Training. CoRR abs/1905.06435 (2019) - [i36]Emanuele Rossi, Federico Monti, Michael M. Bronstein, Pietro Liò:
ncRNA Classification with Graph Convolutional Networks. CoRR abs/1905.06515 (2019) - [i35]Ezra Webb, Ben Day, Helena Andrés-Terré, Pietro Lió:
Factorised Neural Relational Inference for Multi-Interaction Systems. CoRR abs/1905.08721 (2019) - [i34]Cristian Bodnar, Ben Day, Pietro Liò:
Proximal Distilled Evolutionary Reinforcement Learning. CoRR abs/1906.09807 (2019) - [i33]Helena Andrés-Terré, Pietro Lió:
Perturbation theory approach to study the latent space degeneracy of Variational Autoencoders. CoRR abs/1907.05267 (2019) - [i32]Vikash Singh, Pietro Liò:
Towards Probabilistic Generative Models Harnessing Graph Neural Networks for Disease-Gene Prediction. CoRR abs/1907.05628 (2019) - [i31]Catalina Cangea, Eugene Belilovsky, Pietro Liò, Aaron C. Courville:
VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering. CoRR abs/1908.04950 (2019) - [i30]Devin Taylor, Simeon E. Spasov, Pietro Liò:
Co-Attentive Cross-Modal Deep Learning for Medical Evidence Synthesis and Decision Making. CoRR abs/1909.06442 (2019) - [i29]Jacob Deasy, Pietro Liò, Ari Ercole:
Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or pre-processing. CoRR abs/1909.07214 (2019) - [i28]Jacob Deasy, Ari Ercole, Pietro Liò:
Impact of novel aggregation methods for flexible, time-sensitive EHR prediction without variable selection or cleaning. CoRR abs/1909.08981 (2019) - [i27]Paul Scherer, Helena Andrés-Terré, Pietro Liò, Mateja Jamnik:
Decoupling feature propagation from the design of graph auto-encoders. CoRR abs/1910.08589 (2019) - [i26]Tamara Müller, Pietro Lió:
Personalisable Clinical Decision Support System. ERCIM News 2019(116) (2019) - 2018
- [j74]Zakaria Benmounah, Souham Meshoul, Mohamed Batouche, Pietro Lio':
Parallel swarm intelligence strategies for large-scale clustering based on MapReduce with application to epigenetics of aging. Appl. Soft Comput. 69: 771-783 (2018) - [j73]Supreeta Vijayakumar, Maxwell Conway, Pietro Lió, Claudio Angione:
Seeing the wood for the trees: a forest of methods for optimization and omic-network integration in metabolic modelling. Briefings Bioinform. 19(6): 1218-1235 (2018) - [j72]Edgar Liberis, Petar Velickovic, Pietro Sormanni, Michele Vendruscolo, Pietro Liò:
Parapred: antibody paratope prediction using convolutional and recurrent neural networks. Bioinform. 34(17): 2944-2950 (2018) - [j71]Hui Xiao, Krzysztof Bartoszek, Pietro Lio':
Multi-omic analysis of signalling factors in inflammatory comorbidities. BMC Bioinform. 19(1): 439:1-439:18 (2018) - [j70]Igor Saggese, Elisa Bona, Maxwell Conway, Francesco Favero, Marco Ladetto, Pietro Liò, Giovanni Manzini, Flavio Mignone:
STAble: a novel approach to de novo assembly of RNA-seq data and its application in a metabolic model network based metatranscriptomic workflow. BMC Bioinform. 19-S(7): 127-137 (2018) - [j69]Francesco Bardozzo, Pietro Liò, Roberto Tagliaferri:
A study on multi-omic oscillations in Escherichia coli metabolic networks. BMC Bioinform. 19-S(7): 139-154 (2018) - [j68]Peng He, Tadashi Nakano, Yuming Mao, Pietro Liò, Qiang Liu, Kun Yang:
Stochastic Channel Switching of Frequency-Encoded Signals in Molecular Communication Networks. IEEE Commun. Lett. 22(2): 332-335 (2018) - [j67]Ezio Bartocci, Pietro Liò, Nicola Paoletti:
Guest Editors' Introduction to the Special Section on the 14th International Conference on Computational Methods in Systems Biology (CMSB 2016). IEEE ACM Trans. Comput. Biol. Bioinform. 15(4): 1122-1123 (2018) - [j66]Daniel P. Martins, Michael Taynnan Barros, Massimiliano Pierobon, Meenakshisundaram Kandhavelu, Pietro Lio', Sasitharan Balasubramaniam:
Computational Models for Trapping Ebola Virus Using Engineered Bacteria. IEEE ACM Trans. Comput. Biol. Bioinform. 15(6): 2017-2027 (2018) - [c95]Razvan Kusztos, Giovanna Maria Dimitri, Pietro Lió:
Neural Models for Brain Networks Connectivity Analysis. CIBB 2018: 212-226 - [c94]Vandan Parmar, Pietro Lió:
Multi-omic Network Regression: Methodology, Tool and Case Study. COMPLEX NETWORKS (2) 2018: 611-624 - [c93]Duo Wang, Mateja Jamnik, Pietro Liò:
Investigating Diagrammatic Reasoning with Deep Neural Networks. Diagrams 2018: 390-398 - [c92]Simeon E. Spasov, Luca Passamonti, Andrea Duggento, Pietro Liò, Nicola Toschi:
A Multi-modal Convolutional Neural Network Framework for the Prediction of Alzheimer's Disease. EMBC 2018: 1271-1274 - [c91]Andrea Tangherloni, Leonardo Rundo, Simone Spolaor, Marco S. Nobile, Ivan Merelli, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga, Pietro Liò:
High Performance Computing for Haplotyping: Models and Platforms. Euro-Par Workshops 2018: 650-661 - [c90]Xiaofeng Lu, Chen Liang, Shengfei Zhang, Pietro Liò, Jing Sha:
Terminal Sensitive Data Protection by Adjusting Access Time Bidirectionally and Automatically. ICCCN 2018: 1-6 - [c89]Petar Velickovic, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, Yoshua Bengio:
Graph Attention Networks. ICLR (Poster) 2018 - [c88]Akhil Mathur, Tianlin Zhang, Sourav Bhattacharya, Petar Velickovic, Leonid Joffe, Nicholas D. Lane, Fahim Kawsar, Pietro Liò:
Using deep data augmentation training to address software and hardware heterogeneities in wearable and smartphone sensing devices. IPSN 2018: 200-211 - [c87]Laurynas Karazija, Petar Velickovic, Pietro Liò:
Automatic Inference of Cross-Modal Connection Topologies for X-CNNs. ISNN 2018: 54-63 - [c86]Duo Wang, Rui Zhang, Jin Zhu, Zhongzhao Teng, Yuan Huang, Filippo Spiga, Michael Hong-Fei Du, Jonathan H. Gillard, Qingsheng Lu, Pietro Liò:
Neural network fusion: a novel CT-MR aortic aneurysm image segmentation method. Image Processing 2018: 1057424 - [c85]Joëlle Despeyroux, Amy P. Felty, Pietro Liò, Carlos Olarte:
A Logical Framework for Modelling Breast Cancer Progression. MLCSB 2018: 121-141 - [c84]Petar Velickovic, Laurynas Karazija, Nicholas D. Lane, Sourav Bhattacharya, Edgar Liberis, Pietro Liò, Angela Chieh, Otmane Bellahsen, Matthieu Vegreville:
Cross-modal Recurrent Models for Weight Objective Prediction from Multimodal Time-series Data. PervasiveHealth 2018: 178-186 - [e8]Ivan Merelli, Pietro Liò, Igor V. Kotenko:
26th Euromicro International Conference on Parallel, Distributed and Network-based Processing, PDP 2018, Cambridge, United Kingdom, March 21-23, 2018. IEEE Computer Society 2018, ISBN 978-1-5386-4975-6 [contents] - [i25]Laurynas Karazija, Petar Velickovic, Pietro Liò:
Automatic Inference of Cross-modal Connection Topologies for X-CNNs. CoRR abs/1805.00987 (2018) - [i24]Luca Felicetti, Mauro Femminella, Gianluca Reali, Pietro Liò:
Applications of molecular communications to medicine: a survey. CoRR abs/1808.04242 (2018) - [i23]Petar Velickovic, William Fedus, William L. Hamilton, Pietro Liò, Yoshua Bengio, R. Devon Hjelm:
Deep Graph Infomax. CoRR abs/1809.10341 (2018) - [i22]Jin Zhu, Guang Yang, Pietro Liò:
Lesion Focused Super-Resolution. CoRR abs/1810.06693 (2018) - [i21]Conor Sheehan, Ben Day, Pietro Liò:
Introducing Curvature to the Label Space. CoRR abs/1810.09549 (2018) - [i20]Catalina Cangea, Petar Velickovic, Nikola Jovanovic, Thomas Kipf, Pietro Liò:
Towards Sparse Hierarchical Graph Classifiers. CoRR abs/1811.01287 (2018) - [i19]Victor Prokhorov, Mohammad Taher Pilehvar, Dimitri Kartsaklis, Pietro Liò, Nigel Collier:
Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces. CoRR abs/1811.04983 (2018) - [i18]Catalina Cangea, Arturas Grauslys, Pietro Liò, Francesco Falciani:
Structure-Based Networks for Drug Validation. CoRR abs/1811.09714 (2018) - [i17]Krzysztof Bartoszek, Pietro Liò:
Modelling trait dependent speciation with Approximate Bayesian Computation. CoRR abs/1812.03715 (2018) - 2017
- [j65]Giovanna Maria Dimitri, Shruti Agrawal, Adam Young, Joseph Donnelly, Xiuyun Liu, Peter Smielewski, Peter Hutchinson, Marek Czosnyka, Pietro Liò, Christina Haubrich:
A multiplex network approach for the analysis of intracranial pressure and heart rate data in traumatic brain injured patients. Appl. Netw. Sci. 2: 29 (2017) - [j64]Lucia Bianchi, Pietro Liò:
Opportunities for community awareness platforms in personal genomics and bioinformatics education. Briefings Bioinform. 18(6): 1082-1090 (2017) - [j63]Sara Saheb Kashaf, Claudio Angione, Pietro Liò:
Making life difficult for Clostridium difficile: augmenting the pathogen's metabolic model with transcriptomic and codon usage data for better therapeutic target characterization. BMC Syst. Biol. 11(1): 25:1-25:13 (2017) - [j62]Giovanna Maria Dimitri, Pietro Liò:
DrugClust: A machine learning approach for drugs side effects prediction. Comput. Biol. Chem. 68: 204-210 (2017) - [j61]Fabio Tordini, Maurizio Drocco, Claudia Misale, Luciano Milanesi, Pietro Liò, Ivan Merelli, Massimo Torquati, Marco Aldinucci:
NuChart-II: The road to a fast and scalable tool for Hi-C data analysis. Int. J. High Perform. Comput. Appl. 31(3): 196-211 (2017) - [c83]Thomas Brouwer, Pietro Liò:
Bayesian Hybrid Matrix Factorisation for Data Integration. AISTATS 2017: 557-566 - [c82]Angela Serra, Maria Domenica Guida, Pietro Lió, Roberto Tagliaferri:
Hierarchical Block Matrix Approach for Multi-view Clustering. CIBB 2017: 200-212 - [c81]Luca Felicetti, Mauro Femminella, Todor Ivanov, Pietro Liò, Gianluca Reali:
A big-data layered architecture for analyzing molecular communications systems in blood vessels. NANOCOM 2017: 14:1-14:2 - [c80]Fabio Tordini, Marco Aldinucci, Paolo Viviani, Ivan Merelli, Pietro Liò:
Scientific Workflows on Clouds with Heterogeneous and Preemptible Instances. PARCO 2017: 605-614 - [c79]Thomas Brouwer, Jes Frellsen, Pietro Liò:
Comparative Study of Inference Methods for Bayesian Nonnegative Matrix Factorisation. ECML/PKDD (1) 2017: 513-529 - [i16]Thomas Brouwer, Pietro Liò:
Bayesian Hybrid Matrix Factorisation for Data Integration. CoRR abs/1704.04962 (2017) - [i15]Thomas Brouwer, Jes Frellsen, Pietro Liò:
Comparative Study of Inference Methods for Bayesian Nonnegative Matrix Factorisation. CoRR abs/1707.05147 (2017) - [i14]Victor Prokhorov, Mohammad Taher Pilehvar, Dimitri Kartsaklis, Pietro Liò, Nigel Collier:
Learning Rare Word Representations using Semantic Bridging. CoRR abs/1707.07554 (2017) - [i13]Catalina Cangea, Petar Velickovic, Pietro Liò:
XFlow: 1D-2D Cross-modal Deep Neural Networks for Audiovisual Classification. CoRR abs/1709.00572 (2017) - [i12]Petar Velickovic, Laurynas Karazija, Nicholas D. Lane, Sourav Bhattacharya, Edgar Liberis, Pietro Liò, Angela Chieh, Otmane Bellahsen, Matthieu Vegreville:
Cross-modal Recurrent Models for Human Weight Objective Prediction from Multimodal Time-series Data. CoRR abs/1709.08073 (2017) - [i11]Petar Velickovic, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, Yoshua Bengio:
Graph Attention Networks. CoRR abs/1710.10903 (2017) - [i10]Momchil Peychev, Petar Velickovic, Pietro Liò:
Quantifying the Effects of Enforcing Disentanglement on Variational Autoencoders. CoRR abs/1711.09159 (2017) - [i9]Andrea Tangherloni, Simone Spolaor, Leonardo Rundo, Marco S. Nobile, Ivan Merelli, Paolo Cazzaniga, Daniela Besozzi, Giancarlo Mauri, Pietro Liò:
GenHap: A novel computational method based on genetic algorithms for haplotype assembly. PeerJ Prepr. 5: e3246 (2017) - 2016
- [j60]Gastone C. Castellani, Giulia Menichetti, Paolo Garagnani, Maria Giulia Bacalini, Chiara Pirazzini, Claudio Franceschi, Sebastiano Collino, Claudia Sala, Daniel Remondini, Enrico Giampieri, Ettore Mosca, Matteo Bersanelli, Silvia Vitali, Ìtalo Faria do Valle, Pietro Liò, Luciano Milanesi:
Systems medicine of inflammaging. Briefings Bioinform. 17(3): 527-540 (2016) - [j59]Yoli Shavit, Ivan Merelli, Luciano Milanesi, Pietro Liò:
How computer science can help in understanding the 3D genome architecture. Briefings Bioinform. 17(5): 733-744 (2016) - [j58]Yoli Shavit, Barnabas James Walker, Pietro Liò:
Hierarchical block matrices as efficient representations of chromosome topologies and their application for 3C data integration. Bioinform. 32(8): 1121-1129 (2016) - [j57]Petar Velickovic, Pietro Liò:
Muxstep: an open-source C ++ multiplex HMM library for making inferences on multiple data types. Bioinform. 32(16): 2562-2564 (2016) - [j56]Claudio Angione, Maxwell Conway, Pietro Liò:
Multiplex methods provide effective integration of multi-omic data in genome-scale models. BMC Bioinform. 17(S-4): 83 (2016) - [j55]Francesco Nardi, Francesco Frati, Pietro Liò:
Animal inference on human mitochondrial diseases. Comput. Biol. Chem. 62: 17-28 (2016) - [j54]Petar Velickovic, Pietro Liò:
Molecular multiplex network inference using Gaussian mixture hidden Markov models. J. Complex Networks 4(4): 561-574 (2016) - [j53]Luca Felicetti, Mauro Femminella, Gianluca Reali, Pietro Liò:
Applications of molecular communications to medicine: A survey. Nano Commun. Networks 7: 27-45 (2016) - [j52]Ezio Bartocci, Pietro Liò:
Computational Modeling, Formal Analysis, and Tools for Systems Biology. PLoS Comput. Biol. 12(1) (2016) - [j51]Xiaofeng Lu, Pietro Liò, Pan Hui:
Distance-Based Opportunistic Mobile Data Offloading. Sensors 16(6): 878 (2016) - [c78]Kevin Heffernan, Pietro Liò, Simone Teufel:
Multilayer Data and Document Stratification for Comorbidity Analysis. CIBB 2016: 209-219 - [c77]Peng He, Yuming Mao, Qiang Liu, Pietro Liò, Kun Yang:
Channel modelling of molecular communications across blood vessels and nerves. ICC 2016: 1-6 - [c76]Eduard Alarcón, Raul Gomez Cid-Fuentes, Alan Davy, Luca Felicetti, Mauro Femminella, Pietro Liò, Gianluca Reali, Josep Solé-Pareta:
MolComML: The Molecular Communication Markup Language. NANOCOM 2016: 16:1-16:6 - [c75]Naruemon Pratanwanich, Pietro Liò, Oliver Stegle:
Warped Matrix Factorisation for Multi-view Data Integration. ECML/PKDD (2) 2016: 789-804 - [c74]Petar Velickovic, Duo Wang, Nicholas D. Lane, Pietro Liò:
X-CNN: Cross-modal convolutional neural networks for sparse datasets. SSCI 2016: 1-8 - [e7]Ezio Bartocci, Pietro Liò, Nicola Paoletti:
Computational Methods in Systems Biology - 14th International Conference, CMSB 2016, Cambridge, UK, September 21-23, 2016, Proceedings. Lecture Notes in Computer Science 9859, Springer 2016, ISBN 978-3-319-45176-3 [contents] - [i8]Petar Velickovic, Duo Wang, Nicholas D. Lane, Pietro Liò:
X-CNN: Cross-modal Convolutional Neural Networks for Sparse Datasets. CoRR abs/1610.00163 (2016) - [i7]Thomas Brouwer, Jes Frellsen, Pietro Liò:
Fast Bayesian Non-Negative Matrix Factorisation and Tri-Factorisation. CoRR abs/1610.08127 (2016) - 2015
- [j50]Pietro Liò, Orazio Miglino, Giuseppe Nicosia, Stefano Nolfi, Mario Pavone:
Advances in Artificial Life: Synthesis and Simulation of Living Systems: Editorial. Artif. Life 21(4): 395-397 (2015) - [j49]Syed Haider, Zoltan Lipinszki, Marcin Przewloka, Yaseen Ladak, Pier D'Avino, Yuu Kimata, Pietro Liò, David Glover:
DAPPER: a data-mining resource for protein-protein interactions. BioData Min. 8: 30 (2015) - [j48]Mohammad Ali Moni, Haoming Xu, Pietro Liò:
CytoCom: a Cytoscape app to visualize, query and analyse disease comorbidity networks. Bioinform. 31(6): 969-971 (2015) - [j47]Emanuele Bosi, Beatrice Donati, Marco Galardini, Sara Brunetti, Marie-France Sagot, Pietro Liò, Pierluigi Crescenzi, Renato Fani, Marco Fondi:
MeDuSa: a multi-draft based scaffolder. Bioinform. 31(15): 2443-2451 (2015) - [j46]Haoming Xu, Mohammad Ali Moni, Pietro Liò:
Network regularised Cox regression and multiplex network models to predict disease comorbidities and survival of cancer. Comput. Biol. Chem. 59: 15-31 (2015) - [j45]Enrico Capobianco, Pietro Liò:
Comorbidity networks: beyond disease correlations. J. Complex Networks 3(3): 319-332 (2015) - [j44]Damian Smedley, Syed Haider, Steffen Durinck, Luca Pandini, Paolo Provero, James E. Allen, Olivier Arnaiz, Mohammad Hamza Awedh, Richard A. Baldock, Giulia Barbiera, Philippe Bardou, Tim Beck, Andrew Blake, Merideth Bonierbale, Anthony J. Brookes, Gabriele Bucci, Iwan Buetti, Sarah W. Burge, Cédric Cabau, Joseph W. Carlson, Claude Chelala, Charalambos Chrysostomou, Davide Cittaro, Olivier Collin, Raul Cordova, Rosalind J. Cutts, Erik Dassi, Alex Di Génova, Anis Djari, Anthony Esposito, Heather Estrella, Eduardo Eyras, Julio Fernandez-Banet, Simon A. Forbes, Robert C. Free, Takatomo Fujisawa, Emanuela Gadaleta, Jose M. Garcia-Manteiga, David M. Goodstein, Kristian A. Gray, José Afonso Guerra-Assunção, Bernard Haggarty, Dongjin Han, Byungwoo Han, Todd W. Harris, Jayson Harshbarger, Robert K. Hastings, Richard D. Hayes, Claire Hoede, Shen Hu, Zhi-Liang Hu, Lucie N. Hutchins, Zhengyan Kan, Hideya Kawaji, Aminah-Olivia Keliet, Arnaud Kerhornou, Sunghoon Kim, Rhoda Kinsella, Christophe Klopp, Lei Kong, Daniel Lawson, Dejan Lazarevic, Ji-Hyun Lee, Thomas Letellier, Chuan-Yun Li, Pietro Liò, Chu-Jun Liu, Jie Luo, Alejandro Maass, Jérôme Mariette, Thomas Maurel, Stefania Merella, Azza Mostafa Mohamed, François Moreews, Nabihoudine Ibouniyamine, Nelson Ndegwa, Céline Noirot, Christian Perez-Llamas, Michael Primig, Alessandro Quattrone, Hadi Quesneville, Davide Rambaldi, James M. Reecy, Michela Riba, Steven Rosanoff, Amna Ali Saddiq, Elisa Salas, Olivier Sallou, Rebecca Shepherd, Reinhard Simon, Linda Sperling, William Spooner, Daniel M. Staines, Delphine Steinbach, Kevin R. Stone, Elia Stupka, Jon W. Teague, Abu Z. Dayem Ullah, Jun Wang, Doreen Ware, Marie Wong-Erasmus, Ken Youens-Clark, Amonida Zadissa, Shi-Jian Zhang, Arek Kasprzyk:
The BioMart community portal: an innovative alternative to large, centralized data repositories. Nucleic Acids Res. 43(Webserver-Issue): W589-W598 (2015) - [j43]Gianluca Ascolani, Annalisa Occhipinti, Pietro Liò:
Modelling Circulating Tumour Cells for Personalised Survival Prediction in Metastatic Breast Cancer. PLoS Comput. Biol. 11(5) (2015) - [j42]Claudio Angione, Jole Costanza, Giovanni Carapezza, Pietro Liò, Giuseppe Nicosia:
Analysis and design of molecular machines. Theor. Comput. Sci. 599: 102-117 (2015) - [c73]Claudio Angione, Pietro Liò, Sandra Pucciarelli, Basarbatu Can, Maxwell Conway, Marina Lotti, Habib Bokhari, Alessio Mancini, Ugur Sezerman, Andrea Telatin:
Bioinformatics Challenges and Potentialities in Studying Extreme Environments. CIBB 2015: 205-219 - [c72]Fabio Tordini, Ivan Merelli, Pietro Liò, Luciano Milanesi, Marco Aldinucci:
NuchaRt: Embedding High-Level Parallel Computing in R for Augmented Hi-C Data Analysis. CIBB 2015: 259-272 - [c71]Xiaofeng Lu, Pietro Liò:
Privacy Information Security Classification and Comparison between the Westerner and Chinese. IIKI 2015: 13-18 - [c70]Francesco Bardozzo, Pietro Liò, Roberto Tagliaferri:
Multi omic oscillations in bacterial pathways. IJCNN 2015: 1-8 - [c69]Fabio Tordini, Maurizio Drocco, Claudia Misale, Luciano Milanesi, Pietro Liò, Ivan Merelli, Marco Aldinucci:
Parallel Exploration of the Nuclear Chromosome Conformation with NuChart-II. PDP 2015: 725-732 - [e6]Clelia Di Serio, Pietro Liò, Alessandro Nonis, Roberto Tagliaferri:
Computational Intelligence Methods for Bioinformatics and Biostatistics - 11th International Meeting, CIBB 2014, Cambridge, UK, June 26-28, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8623, Springer 2015, ISBN 978-3-319-24461-7 [contents] - 2014
- [j41]Yoli Shavit, Fiona Kathryn Hamey, Pietro Liò:
FisHiCal: an R package for iterative FISH-based calibration of Hi-C data. Bioinform. 30(21): 3120-3122 (2014) - [j40]Mohammad Ali Moni, Pietro Liò:
Network-based analysis of comorbidities risk during an infection: SARS and HIV case studies. BMC Bioinform. 15: 333 (2014) - [j39]Naruemon Pratanwanich, Pietro Liò:
Exploring the complexity of pathway-drug relationships using latent Dirichlet allocation. Comput. Biol. Chem. 53: 144-152 (2014) - [j38]Mohammad Ali Moni, Pietro Liò:
comoR: a software for disease comorbidity risk assessment. J. Clin. Bioinform. 4: 8 (2014) - [j37]Vitaly Petrov, Sasitharan Balasubramaniam, Rahmi Lale, Dmitri Moltchanov, Pietro Liò, Yevgeni Koucheryavy:
Forward and Reverse coding for chromosome transfer in bacterial nanonetworks. Nano Commun. Networks 5(1-2): 15-24 (2014) - [j36]Xiaofeng Lu, Zhaowei Qu, Pietro Liò, Pan Hui, Qi Li, Peng Lu, Rongfang Bie:
Directional communication with movement prediction in mobile wireless sensor networks. Pers. Ubiquitous Comput. 18(8): 1941-1953 (2014) - [c68]Gianluca Reali, Mauro Femminella, Luca Felicetti, Pietro Liò:
Endovascular Mobile Sensor Network for Detecting Circulating Tumoral Cells. BODYNETS 2014 - [c67]Fiona Kathryn Hamey, Yoli Shavit, Valdone Maciulyte, Christopher Town, Pietro Liò, Sabrina Tosi:
Automated Detection of Fluorescent Probes in Molecular Imaging. CIBB 2014: 68-75 - [c66]Antonella Iuliano, Annalisa Occhipinti, Claudia Angelini, Italia De Feis, Pietro Liò:
Applications of Network-based Survival Analysis Methods for Pathways Detection in Cancer. CIBB 2014: 76-88 - [c65]Anna Korhonen, Yufan Guo, Simon Baker, Meliha Yetisgen-Yildiz, Ulla Stenius, Masashi Narita, Pietro Liò:
Improving Literature-Based Discovery with Advanced Text Mining. CIBB 2014: 89-98 - [c64]Aicha Boutorh, Naruemon Pratanwanich, Ahmed Guessoum, Pietro Liò:
Drug Repurposing by Optimizing Mining of Genes Target Association. CIBB 2014: 209-218 - [c63]Fabio Tordini, Maurizio Drocco, Ivan Merelli, Luciano Milanesi, Pietro Liò, Marco Aldinucci:
NuChart-II: A Graph-Based Approach for Analysis and Interpretation of Hi-C Data. CIBB 2014: 298-311 - [c62]Pietro Liò:
Computing Longevity: Insights from Controls. FMMB 2014: 40-46 - [c61]Naruemon Pratanwanich, Pietro Liò:
Who Wrote This? Textual Modeling with Authorship Attribution in Big Data. ICDM Workshops 2014: 645-652 - [c60]Marialisa Scatà, Alessandro Di Stefano, Evelina Giacchi, Aurelio La Corte, Pietro Liò:
The Bio-Inspired and Social Evolution of Node and Data in a Multilayer Network. DCNET 2014: 41-46 - [c59]Xiaofeng Lu, Pietro Liò, Pan Hui, Zhaowei Qu:
Nodes Density Adaptive Opportunistic Forwarding Protocol for Intermittently Connected Networks. IIKI 2014: 297-300 - [c58]Luca Felicetti, Mauro Femminella, Gianluca Reali, Pietro Liò:
A Molecular Communication System in Blood Vessels for Tumor Detection. NANOCOM 2014: 21:1-21:9 - 2013
- [j35]Alessandro Di Stefano, Aurelio La Corte, Marco Leotta, Pietro Liò, Marialisa Scatà:
It measures like me: An IoTs algorithm in WSNs based on heuristics behavior and clustering methods. Ad Hoc Networks 11(8): 2637-2647 (2013) - [j34]Yoli Shavit, Pietro Liò:
CytoHiC: a cytoscape plugin for visual comparison of Hi-C networks. Bioinform. 29(9): 1206-1207 (2013) - [j33]Xiaofeng Lu, Pietro Liò, Ben Hui, Haifei Jin:
A Location Prediction Algorithm for Mobile Communications Using Directional Antennas. Int. J. Distributed Sens. Networks 9 (2013) - [j32]Sasitharan Balasubramaniam, Sigal Ben-Yehuda, Sophie Pautot, Aldo Jesorka, Pietro Liò, Yevgeni Koucheryavy:
A review of experimental opportunities for molecular communication. Nano Commun. Networks 4(2): 43-52 (2013) - [j31]Claudio Angione, Giovanni Carapezza, Jole Costanza, Pietro Liò, Giuseppe Nicosia:
Design and strain selection criteria for bacterial communication networks. Nano Commun. Networks 4(4): 155-163 (2013) - [j30]Claudio Angione, Giovanni Carapezza, Jole Costanza, Pietro Liò, Giuseppe Nicosia:
Pareto Optimality in Organelle Energy Metabolism Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 10(4): 1032-1044 (2013) - [c57]Mohammad Ali Moni, Pietro Liò, Luciano Milanesi:
Comparing Viral (HIV) and Bacterial (Staphylococcus aureus) Infection of the Bone Tissue. BIOINFORMATICS 2013: 196-201 - [c56]Pietro Liò:
Methodologies for Systems Medicine: Time to Join the Forces of Bioengineering and Bioinformatics. BIOSTEC 2013: IS-27 - [c55]Claudio Angione, Jole Costanza, Giovanni Carapezza, Pietro Liò, Giuseppe Nicosia:
Pareto epsilon-dominance and identifiable solutions for BioCAD modeling. DAC 2013: 43:1-43:9 - [c54]Luce Jacovella, Pietro Liò:
Speeding up the transition to collective awareness. ICC Workshops 2013: 220-224 - [c53]Claudio Angione, Giovanni Carapezza, Jole Costanza, Pietro Liò, Giuseppe Nicosia:
Multi objective design for bacterial communication networks. ICC Workshops 2013: 813-817 - [e5]Pietro Liò, Orazio Miglino, Giuseppe Nicosia, Stefano Nolfi, Mario Pavone:
Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, ECAL 2013, Sicily, Italy, September 2-6, 2013. MIT Press 2013, ISBN 9780262317092 [contents] - 2012
- [j29]Jole Costanza, Giovanni Carapezza, Claudio Angione, Pietro Liò, Giuseppe Nicosia:
Robust design of microbial strains. Bioinform. 28(23): 3097-3104 (2012) - [j28]Pietro Liò, Nicola Paoletti, Mohammad Ali Moni, Kathryn Atwell, Emanuela Merelli, Marco Viceconti:
Modelling osteomyelitis. BMC Bioinform. 13(S-14): S12 (2012) - [j27]Xiaofeng Lu, Don Towsley, Pietro Liò, Zhang Xiong:
An adaptive directional MAC protocol for ad hoc networks using directional antennas. Sci. China Inf. Sci. 55(6): 1360-1371 (2012) - [j26]Pietro Liò, Sasitharan Balasubramaniam:
Opportunistic routing through conjugation in bacteria communication nanonetwork. Nano Commun. Networks 3(1): 36-45 (2012) - [j25]Nicola Paoletti, Pietro Liò, Emanuela Merelli, Marco Viceconti:
Multilevel Computational Modeling and Quantitative Analysis of Bone Remodeling. IEEE ACM Trans. Comput. Biol. Bioinform. 9(5): 1366-1378 (2012) - [j24]Ezio Bartocci, Pietro Liò, Emanuela Merelli, Nicola Paoletti:
Multiple Verification in Complex Biological Systems: The Bone Remodelling Case Study. Trans. Comp. Sys. Biology 14: 53-76 (2012) - [c52]Claudio Angione, Giovanni Carapezza, Jole Costanza, Pietro Liò, Giuseppe Nicosia:
Computing with Metabolic Machines. Turing-100 2012: 1-15 - [c51]Jole Costanza, Giovanni Carapezza, Claudio Angione, Pietro Liò, Giuseppe Nicosia:
Multi-objective Optimisation, Sensitivity and Robustness Analysis in FBA Modelling. CMSB 2012: 127-147 - [c50]Pietro Liò, Emanuela Merelli, Nicola Paoletti:
Disease processes as hybrid dynamical systems. HSB 2012: 152-166 - [e4]Pietro Lio', Dinesh C. Verma:
Biologically Inspired Networking and Sensing - Algorithms and Architectures. IGI Global 2012, ISBN 978-1-613-50092-7 [contents] - [e3]Carlos A. Coello Coello, Julie Greensmith, Natalio Krasnogor, Pietro Liò, Giuseppe Nicosia, Mario Pavone:
Artificial Immune Systems - 11th International Conference, ICARIS 2012, Taormina, Italy, August 28-31, 2012. Proceedings. Lecture Notes in Computer Science 7597, Springer 2012, ISBN 978-3-642-33756-7 [contents] - [i6]Claudio Angione, Pietro Liò, Giuseppe Nicosia:
How to Compute with Metabolism in Bacteria? ERCIM News 2012(91) (2012) - 2011
- [j23]Eiko Yoneki, Jon Crowcroft, Pietro Liò, Neil Walton, Milan Vojnovic, Roger M. Whitaker:
Message from the workshop on the future of social networking. Comput. Commun. Rev. 41(3): 14-18 (2011) - [j22]Sasitharan Balasubramaniam, Kenji Leibnitz, Pietro Liò, Dmitri Botvich, Masayuki Murata:
Biological principles for future internet architecture design. IEEE Commun. Mag. 49(7): 44-52 (2011) - [c49]Nicola Paoletti, Pietro Liò, Emanuela Merelli, Marco Viceconti:
Osteoporosis: a multiscale modeling viewpoint. CMSB 2011: 183-193 - [c48]Renato Umeton, Giovanni Stracquadanio, Anilkumar Sorathiya, Pietro Liò, Alessio Papini, Giuseppe Nicosia:
Design of robust metabolic pathways. DAC 2011: 747-752 - [c47]Wei Ming Khoo, Pietro Lio':
Unity in Diversity: Phylogenetic-inspired Techniques for Reverse Engineering and Detection of Malware Families. SysSec@DIMVA 2011: 3-10 - [c46]Xiaofeng Lu, Pan Hui, Pietro Liò:
Evolving Model of Opportunistic Routing in Delay Tolerant Networks. MSN 2011: 276-281 - [c45]Richard Carl Van der Wath, Elizabeth van der Wath, Pietro Liò:
Parallel Hematopoietic Stem Cell Division Rate Estimation Using an Agent-Based Model on the Grid. PDP 2011: 311-317 - [c44]Pietro Liò, Emanuela Merelli, Nicola Paoletti:
Multiple verification in computational modeling of bone pathologies. CompMod 2011: 82-96 - [c43]Pietro Liò, Emanuela Merelli, Nicola Paoletti, Marco Viceconti:
A Combined Process Algebraic and Stochastic Approach to Bone Remodeling. CS2Bio@DisCoTec 2011: 41-52 - [c42]Emanuela Merelli, Nicola Paoletti, Pietro Liò:
Methodological Bridges for Multi-Level Systems. FET 2011: 180-182 - [e2]Pietro Liò, Giuseppe Nicosia, Thomas Stibor:
Artificial Immune Systems - 10th International Conference, ICARIS 2011, Cambridge, UK, July 18-21, 2011. Proceedings. Lecture Notes in Computer Science 6825, Springer 2011, ISBN 978-3-642-22370-9 [contents] - [i5]Ian X. Y. Leung, Shu Yan Chan, Pan Hui, Pietro Liò:
Intra-City Urban Network and Traffic Flow Analysis from GPS Mobility Trace. CoRR abs/1105.5839 (2011) - [i4]Emanuele Massaro, Andrea Guazzini, Franco Bagnoli, Pietro Liò:
Information dynamics algorithm for detecting communities in networks. CoRR abs/1112.1224 (2011) - 2010
- [j21]Anil Sorathiya, Andrea Bracciali, Pietro Liò:
Formal reasoning on qualitative models of coinfection of HIV and Tuberculosis and HAART therapy. BMC Bioinform. 11(S-1): 67 (2010) - [j20]Pietro Liò, Dinesh C. Verma:
Biologically inspired networking [Guest Editorial]. IEEE Netw. 24(3): 4 (2010) - [j19]Anil Sorathiya, Andrea Bracciali, Pietro Liò:
An integrated modelling approach for R5-X4 mutation and HAART therapy assessment. Swarm Intell. 4(4): 319-340 (2010) - [j18]Xiaofeng Lu, Fletcher Wicker, Don Towsley, Zhang Xiong, Pietro Liò:
Detection Probability Estimation of Directional Antennas and Omni-Directional Antennas. Wirel. Pers. Commun. 55(1): 51-63 (2010) - [c41]Giovanni Stracquadanio, Renato Umeton, Alessio Papini, Pietro Liò, Giuseppe Nicosia:
Analysis and Optimization of C3 Photosynthetic Carbon Metabolism. BIBE 2010: 44-51 - [c40]Yuedong Song, Sarita Azad, Pietro Liò:
A New Approach for Epileptic Seizure Detection using Extreme Learning Machine. BIOSIGNALS 2010: 436-441 - [c39]Tak-Ming Chan, Kwong-Sak Leung, Kin-Hong Lee, Pietro Liò:
Generic spaced DNA motif discovery using Genetic Algorithm. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c38]Marco Aldinucci, Andrea Bracciali, Pietro Liò, Anil Sorathiya, Massimo Torquati:
StochKit-FF: Efficient Systems Biology on Multicore Architectures. Euro-Par Workshops 2010: 167-175 - [c37]Massimo Ostilli, Eiko Yoneki, Ian X. Y. Leung, José F. F. Mendes, Pietro Liò, Jon Crowcroft:
Statistical mechanics of rumour spreading in network communities. ICCS 2010: 2331-2339 - [c36]Stephan Kitchovitch, Pietro Liò:
Risk perception and disease spread on social networks. ICCS 2010: 2345-2354 - [c35]Andrea Guazzini, Pietro Liò, Franco Bagnoli, Andrea Passarella, Marco Conti:
Cognitive network dynamics in chatlines. ICCS 2010: 2355-2362 - [i3]Marco Aldinucci, Andrea Bracciali, Pietro Liò, Anil Sorathiya, Massimo Torquati:
StochKit-FF: Efficient Systems Biology on Multicore Architectures. CoRR abs/1007.1768 (2010) - [i2]Marco Aldinucci, Andrea Bracciali, Pietro Liò:
Formal Synthetic Immunology. ERCIM News 2010(82): 40-41 (2010)
2000 – 2009
- 2009
- [j17]Uichin Lee, Eugenio Magistretti, Mario Gerla, Paolo Bellavista, Pietro Liò, Kang-Won Lee:
Bio-inspired multi-agent data harvesting in a proactive urban monitoring environment. Ad Hoc Networks 7(4): 725-741 (2009) - [j16]Luciano Milanesi, Paolo Romano, Gastone C. Castellani, Daniel Remondini, Pietro Liò:
Trends in modeling Biomedical Complex Systems. BMC Bioinform. 10(S-12): 0 (2009) - [j15]Emanuel Schwarz, F. Markus Leweke, Sabine Bahn, Pietro Liò:
Clinical bioinformatics for complex disorders: a schizophrenia case study. BMC Bioinform. 10(S-12): 6 (2009) - [j14]Xiaofeng Lu, Don Towsley, Pietro Liò, Fletcher Wicker, Zhang Xiong:
Minimizing Detection Probability Routing in Ad Hoc Networks Using Directional Antennas. EURASIP J. Wirel. Commun. Netw. 2009 (2009) - [c34]Claudia Angelini, Italia De Feis, Viet Anh Nguyen, Richard Carl Van der Wath, Pietro Liò:
Combining Replicates and Nearby Species Data: A Bayesian Approach. CIBB 2009: 191-205 - [c33]Yu-En Lu, Sam G. B. Roberts, Tammy M. K. Cheng, Robin Dunbar, Pietro Liò, Jon Crowcroft:
On optimising personal network size to manage information flow. CIKM-CNIKM 2009: 19-26 - [c32]Shu Yan Chan, Ian X. Y. Leung, Pietro Liò:
Fast centrality approximation in modular networks. CIKM-CNIKM 2009: 31-38 - [c31]Giampaolo Bella, Pietro Liò:
Formal Analysis of the Genetic Toggle. CMSB 2009: 96-110 - [c30]Yu-En Lu, Sam G. B. Roberts, Pietro Liò, Robin Dunbar, Jon Crowcroft:
Size Matters: Variation in Personal Network Size, Personality and Effect on Information Transmission. CSE (4) 2009: 188-193 - [c29]Andrea Guazzini, Pietro Liò, Andrea Passarella, Marco Conti:
Information Processing and Timing Mechanisms in Vision. ICANN (1) 2009: 325-334 - [c28]Shengkun Xie, Pietro Liò, Anna T. Lawniczak:
A Case Study of ICA with Multi-scale PCA of Simulated Traffic Data. ICANN (2) 2009: 358-367 - [c27]Anil Sorathiya, Pietro Liò, Luca Sguanci:
Mathematical Model of HIV Superinfection and Comparative Drug Therapy. ICARIS 2009: 41-53 - [c26]Stephan Kitchovitch, Ian X. Y. Leung, Yuedong Song, Pietro Liò:
Using Mutual Information and Models of Evolution for Improved Pattern Petection. IJCBS 2009: 215-221 - [c25]Tammy M. K. Cheng, Yu-En Lu, Pietro Liò:
Identification of structurally important amino acids in proteins by graph-theoretic measures. KDD Workshop on Statistical and Relational Learning in Bioinformatics 2009: 7-11 - [c24]Stephan Kitchovitch, Yuedong Song, Richard Carl Van der Wath, Pietro Liò:
Substitution Matrices and Mutual Information Approaches to Modeling Evolution. LION 2009: 259-272 - 2008
- [j13]Matteo Brilli, Renato Fani, Pietro Liò:
Current trends in the bioinformatic sequence analysis of metabolic pathways in prokaryotes. Briefings Bioinform. 9(1): 34-45 (2008) - [j12]Matteo Brilli, Alessio Mengoni, Marco Fondi, Marco Bazzicalupo, Pietro Liò, Renato Fani:
Analysis of plasmid genes by phylogenetic profiling and visualization of homology relationships using Blast2Network. BMC Bioinform. 9 (2008) - [j11]Tammy M. K. Cheng, Yu-En Lu, Michele Vendruscolo, Pietro Liò, Tom L. Blundell:
Prediction by Graph Theoretic Measures of Structural Effects in Proteins Arising from Non-Synonymous Single Nucleotide Polymorphisms. PLoS Comput. Biol. 4(7) (2008) - [c23]Ian X. Y. Leung, Gareth Gibbs, Franco Bagnoli, Anil Sorathiya, Pietro Liò:
Contact Network Modeling of Flu Epidemics. ACRI 2008: 354-361 - [c22]Richard Carl Van der Wath, Pietro Liò:
A Stochastic Multi-agent Model of Stem Cell Proliferation. ACRI 2008: 500-505 - [c21]Xiaofeng Lu, Yung-Chih Chen, Ian X. Y. Leung, Zhang Xiong, Pietro Liò:
A Novel Mobility Model from a Heterogeneous Military MANET Trace. ADHOC-NOW 2008: 463-474 - [c20]Pietro Liò, Matteo Brilli, Renato Fani:
Topological Metrics in Blast Data Mining: Plasmid and Nitrogen-Fixing Proteins Case Studies. BIRD 2008: 207-220 - [c19]Emanuel Schwarz, F. Markus Leweke, Sabine Bahn, Pietro Liò:
Combining Molecular and Physiological Data of Complex Disorders. BIRD 2008: 362-376 - [c18]Richard Carl Van der Wath, Elizabeth van der Wath, Antonio Carapelli, Francesco Nardi, Francesco Frati, Luciano Milanesi, Pietro Liò:
Bayesian Phylogeny on Grid. BIRD 2008: 404-416 - [c17]Anil Sorathiya, Tadas Jucikas, Stephanie Piecewicz, Shiladitya Sengupta, Pietro Liò:
Searching for Glycomics Role in Stem Cell Development. CIBB 2008: 198-209 - [c16]Yu-En Lu, Pietro Liò, Steven Hand:
On low dimensional random projections and similarity search. CIKM 2008: 749-758 - [c15]Richard Carl Van der Wath, Pietro Liò:
A Stochastic Single Cell Based Model of BrdU Measured Hematopoietic Stem Cell Kinetics. CMSB 2008: 387-401 - [c14]Xiaofeng Lu, Pan Hui, Pietro Liò, Zhang Xiong:
Identity Privacy Protection by Delayed Transmission in Pocket Switched Networks. EUC (2) 2008: 272-277 - [c13]Zdena Koukolíková-Nicola, Pietro Liò, Franco Bagnoli:
Inference on Missing Values in Genetic Networks Using High-Throughput Data. EvoBIO 2008: 106-116 - [c12]Viet Anh Nguyen, Zdena Koukolíková-Nicola, Franco Bagnoli, Pietro Liò:
Bayesian Inference on Hidden Knowledge in High-Throughput Molecular Biology Data. PRICAI 2008: 829-838 - [c11]Stuart M. Allen, Marco Conti, Jon Crowcroft, Robin Dunbar, Pietro Liò, José Fernando Ferreira Mendes, Refik Molva, Andrea Passarella, Ioannis Stavrakakis, Roger M. Whitaker:
Social Networking for Pervasive Adaptation. SASO Workshops 2008: 49-54 - [c10]Frank Stajano, Lucia Bianchi, Pietro Liò, Douwe Korff:
Forensic genomics: kin privacy, driftnets and other open questions. WPES 2008: 15-22 - [e1]Pietro Liò, Eiko Yoneki, Jon Crowcroft, Dinesh C. Verma:
Bio-Inspired Computing and Communication, First Workshop on Bio-Inspired Design of Networks, BIOWIRE 2007, Cambridge, UK, April 2-5, 2007, Revised Selected Papers. Lecture Notes in Computer Science 5151, Springer 2008, ISBN 978-3-540-92190-5 [contents] - [i1]Franco Bagnoli, Andrea Guazzini, Pietro Liò:
Human Heuristics for Autonomous Agents. CoRR abs/0801.3048 (2008) - 2007
- [j10]Lucia Bianchi, Pietro Liò:
Forensic DNA and bioinformatics. Briefings Bioinform. 8(2): 117-128 (2007) - [j9]Matteo Brilli, Renato Fani, Pietro Liò:
MotifScorer: using a compendium of microarrays to identify regulatory motifs. Bioinform. 23(4): 493-495 (2007) - [j8]Cécile Caretta-Cartozo, Paolo De Los Rios, Francesco Piazza, Pietro Liò:
Bottleneck Genes and Community Structure in the Cell Cycle Network of S. pombe. PLoS Comput. Biol. 3(6) (2007) - [c9]Uichin Lee, Eugenio Magistretti, Mario Gerla, Paolo Bellavista, Pietro Liò, Kang-Won Lee:
Bio-Inspired Multi-agent Collaboration for Urban Monitoring Applications. BIOWIRE 2007: 204-216 - [c8]Pietro Liò, Anna T. Lawniczak, Shengkun Xie, Jiaying Xu:
Wavelet-Domain Statistics of Packet Switching Networks Near Traffic Congestion. BIOWIRE 2007: 268-279 - [c7]Yu-En Lu, Pietro Liò, Steven Hand:
Beta Random Projection. BIOWIRE 2007: 319-331 - [c6]Franco Bagnoli, Andrea Guazzini, Pietro Liò:
Human Heuristics for Autonomous Agents. BIOWIRE 2007: 340-351 - [c5]Claudia Angelini, Luisa Cutillo, Italia De Feis, Richard Carl Van der Wath, Pietro Liò:
Identifying Regulatory Sites Using Neighborhood Species. EvoBIO 2007: 1-10 - 2006
- [j7]Tom M. W. Nye, Pietro Liò, Walter R. Gilks:
A novel algorithm and web-based tool for comparing two alternative phylogenetic trees. Bioinform. 22(1): 117-119 (2006) - [c4]Luca Sguanci, Pietro Liò, Franco Bagnoli:
The Influence of Risk Perception in Epidemics: A Cellular Agent Model. ACRI 2006: 321-329 - [c3]Luca Sguanci, Pietro Liò, Franco Bagnoli:
Modeling Evolutionary Dynamics of HIV Infection. CMSB 2006: 196-211 - [c2]Yu-En Lu, Steven Hand, Pietro Liò:
Keyword Searching in Structured Overlays Via Content Distance Addressing. DBISP2P 2006: 259-272 - 2005
- [c1]Yu-En Lu, Steven Hand, Pietro Liò:
Keyword Searching in Hypercubic Manifolds. Peer-to-Peer Computing 2005: 150-151 - 2004
- [j6]Mahlet G. Tadesse, Marina Vannucci, Pietro Liò:
Identification of DNA regulatory motifs using Bayesian variable selection. Bioinform. 20(16): 2553-2561 (2004) - 2003
- [j5]Pietro Liò:
Dimensionality and Dependence Problems in Statistical Genomics. Briefings Bioinform. 4(2): 168-178 (2003) - [j4]Pietro Liò:
Wavelets in bioinformatics and computational biology: state of art and perspectives. Bioinform. 19(1): 2-9 (2003) - 2000
- [j3]Pietro Liò, Marina Vannucci:
Wavelet change-point prediction of transmembrane proteins. Bioinform. 16(4): 376-382 (2000) - [j2]Pietro Liò, Marina Vannucci:
Finding pathogenicity islands and gene transfer events in genome data. Bioinform. 16(10): 932-940 (2000)
1990 – 1999
- 1998
- [j1]Pietro Liò, N. Goldman, Jeffrey L. Thorne, David T. Jones:
PASSML: combining evolutionary inference and protein secondary structure prediction. Bioinform. 14(8): 726-733 (1998)
Coauthor Index
Ben Day
aka: Ben J. Day
aka: Ben J. Day
Arian Rokkum Jamasb
aka: Arian R. Jamasb
aka: Arian R. Jamasb
Nicholas D. Lane
aka: Nicholas Donald Lane
aka: Nicholas Donald Lane
Simon V. Mathis
aka: Simon Valentin Mathis
aka: Simon Valentin Mathis
Simeon E. Spasov
aka: Simeon Emilov Spasov
aka: Simeon Emilov Spasov
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last updated on 2025-02-07 23:51 CET by the dblp team
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