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ORCID8th LOD 2022, Certosa di Pontignano, Italy - Part II
- Giuseppe Nicosia
, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Giuseppe Di Fatta, Giovanni Giuffrida, Renato Umeton:
Machine Learning, Optimization, and Data Science - 8th International Workshop, LOD 2022, Certosa di Pontignano, Italy, September 19-22, 2022, Revised Selected Papers, Part II. Lecture Notes in Computer Science 13811, Springer 2023, ISBN 978-3-031-25890-9 - Lorenz Wendlinger, Michael Granitzer, Christofer Fellicious:
Pooling Graph Convolutional Networks for Structural Performance Prediction. 1-16 - Mihai-Alexandru Suciu, Rodica Ioana Lung:
A Game Theoretic Flavoured Decision Tree for Classification. 17-26 - Robert Jungnickel, Johanna Lauwigi, Vladimir Samsonov, Daniel Lütticke:
Human-Centric Machine Learning Approach for Injection Mold Design: Towards Automated Ejector Pin Placement. 27-31 - Ross A. J. McLaren, Kehinde O. Babaagba, Zhiyuan Tan:
A Generative Adversarial Network Based Approach to Malware Generation Based on Behavioural Graphs. 32-46 - Pedro Henrique da Costa Avelar, Roman Laddach, Sophia Karagiannis, Min Wu, Sophia Tsoka:
Multi-omic Data Integration and Feature Selection for Survival-Based Patient Stratification via Supervised Concrete Autoencoders. 47-61 - Ashhadul Islam, Samir Brahim Belhaouari:
Smart Pruning of Deep Neural Networks Using Curve Fitting and Evolution of Weights. 62-76 - Galina A. Samigulina, Zarina I. Samigulina:
Biologically Inspired Unified Artificial Immune System for Industrial Equipment Diagnostic. 77-92 - Vincent Vigneron, Hichem Maaref:
A Nonparametric Pooling Operator Capable of Texture Extraction. 93-107 - Yannick Smit, Floris den Hengst, Sandjai Bhulai, Ehsan Mehdad:
Strategic Workforce Planning with Deep Reinforcement Learning. 108-122 - Petr Mása, Jan Rauch:
Enhanced Association Rules and Python. 123-138 - João Braz Simões, Rui Travasso, Ernesto Costa, Tiago R. Baptista:
Generating Vascular Networks: A Reinforcement Learning Approach. 139-153 - Kanishka Ghosh Dastidar, Wissam Siblini, Michael Granitzer:
Expressive and Intuitive Models for Automated Context Representation Learning in Credit-Card Fraud Detection. 154-168 - Abdul Wahid, Jiafeng Zhu, Stefano Mauceri, Lei Li, Minghua Liu:
Digital Twins: Modelling Languages Comparison. 169-178 - Gabriel Turinici:
Algorithms that Get Old: The Case of Generative Deep Neural Networks. 179-187 - Fabio Incerti, Falco Joannes Bargagli Stoffi, Massimo Riccaboni:
A Two-Country Study of Default Risk Prediction Using Bayesian Machine-Learning. 188-192 - Bram De Cooman, Johan A. K. Suykens, Andreas Ortseifen:
Enforcing Hard State-Dependent Action Bounds on Deep Reinforcement Learning Policies. 193-218 - Nikolaos A. Kyriakakis, Themistoklis Stamadianos, Magdalene Marinaki, Nikolaos F. Matsatsinis, Yannis Marinakis:
A Bee Colony Optimization Approach for the Electric Vehicle Routing Problem with Drones. 219-233 - Bruno G. Galuzzi, Luca Milazzo, Chiara Damiani:
Best Practices in Flux Sampling of Constrained-Based Models. 234-248 - Aayush Kumar, Jimiama Mafeni Mase, Divish Rengasamy, Benjamin Rothwell, Mercedes Torres Torres, David A. Winkler, Grazziela P. Figueredo:
EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python. 249-264 - Wadhah Zai El Amri, Luca Hermes, Malte Schilling:
Hierarchical Decentralized Deep Reinforcement Learning Architecture for a Simulated Four-Legged Agent. 265-280 - Hong-Lan Botterman, Julien Roussel, Thomas Morzadec, Ali Jabbari, Nicolas J.-B. Brunel:
Robust PCA for Anomaly Detection and Data Imputation in Seasonal Time Series. 281-295 - Angelo Lucia, Korkut Uygun:
Monte Carlo Optimization of Liver Machine Perfusion Temperature Policies. 296-303 - Yasmen Wahba, Nazim H. Madhavji, John Steinbacher:
A Comparison of SVM Against Pre-trained Language Models (PLMs) for Text Classification Tasks. 304-313 - Frederique van Leeuwen, Bas Bosma, Arjan van den Born, Eric O. Postma:
Normalization in Motif Discovery. 314-325 - Phat Loi Tang, Thuy-Dung Le Pham, Tien Ba Dinh:
Tree-Based Credit Card Fraud Detection Using Isolation Forest, Spectral Residual, and Knowledge Graph. 326-340 - Antonio Macaluso, Filippo Orazi, Matthias Klusch, Stefano Lodi, Claudio Sartori:
A Variational Algorithm for Quantum Single Layer Perceptron. 341-356 - Nadja Vater, Alfio Borzì:
Preconditioned Gradient Method for Data Approximation with Shallow Neural Networks. 357-372 - Antonio Mariani, Italo Epicoco, Massimo Cafaro, Marco Pulimeno:
Grid-Based Contraction Clustering in a Peer-to-Peer Network. 373-387 - David Lehký, Lukás Novák, Drahomír Novák:
Surrogate Modeling for Stochastic Assessment of Engineering Structures. 388-401 - Kunjira Kingphai, Yashar Moshfeghi:
On Time Series Cross-Validation for Deep Learning Classification Model of Mental Workload Levels Based on EEG Signals. 402-416 - José Diogo Marques dos Santos, José Paulo Marques dos Santos:
Path Weights Analyses in a Shallow Neural Network to Reach Explainable Artificial Intelligence (XAI) of fMRI Data. 417-431 - Costanza Cenerini, Luca Vollero, Giorgio Pennazza, Marco Santonico, Flavio Keller:
Audio Visual Association Test in Non Synesthetic Subjects: Technological Tailoring of the Methods. 432-437 - Fabian Schubert, Claudius Gros:
Flow Control: Local Spectral Radius Regulation. 438-442 - Sakrapee Paisalnan, Frank E. Pollick, Yashar Moshfeghi:
Neural Correlates of Satisfaction of an Information Need. 443-457 - Zenon Lamprou, Frank E. Pollick, Yashar Moshfeghi:
Role of Punctuation in Semantic Mapping Between Brain and Transformer Models. 458-472 - Davide Borra, Matteo Filippini, Mauro Ursino, Patrizia Fattori, Elisa Magosso:
A Bayesian-Optimized Convolutional Neural Network to Decode Reach-to-Grasp from Macaque Dorsomedial Visual Stream. 473-487 - Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman:
Brain-like Combination of Feedforward and Recurrent Network Components Achieves Prototype Extraction and Robust Pattern Recognition. 488-501 - Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable:
Thinking Fast and Slow in AI: The Role of Metacognition. 502-509 - Dominika Michalkova, Mario Parra-Rodriguez, Yashar Moshfeghi:
Confidence as Part of Searcher's Cognitive Context. 510-524 - Daniel Taylor, Jonathan P. Shock, Deshendran Moodley, Jonathan Ipser, Matthias Treder:
Brain Structural Saliency over the Ages. 525-548 - Zuzana Pinkosova, William J. McGeown, Yashar Moshfeghi:
Revisiting Neurological Aspects of Relevance: An EEG Study. 549-563 - Hafez Ghaemi, Erfan Mirzaei, Mahbod Nouri, Saeed Reza Kheradpisheh:
BioLCNet: Reward-Modulated Locally Connected Spiking Neural Networks. 564-578
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