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2020 – today
- 2024
[j16]Elia Cunegatti, Matteo Farina, Doina Bucur, Giovanni Iacca:
Understanding Sparse Neural Networks from their Topology via Multipartite Graph Representations. Trans. Mach. Learn. Res. 2024 (2024)- [i13]Lourens Touwen, Doina Bucur, Remco van der Hofstad, Alessandro Garavaglia, Nelly Litvak:
Learning the mechanisms of network growth. CoRR abs/2404.00793 (2024) - [i12]Nan Chen, Merlijn Schram, Doina Bucur:
gFlora: a topology-aware method to discover functional co-response groups in soil microbial communities. CoRR abs/2407.03897 (2024) - 2023
- [j15]Thi Kim Nhung Dang
, Doina Bucur, Berk Atil, Guillaume Pitel, Frank Ruis, Hamid Reza Kadkhodaei, Nelly Litvak:
Look back, look around: A systematic analysis of effective predictors for new outlinks in focused Web crawling. Knowl. Based Syst. 260: 110126 (2023) - [i11]Elia Cunegatti, Doina Bucur, Giovanni Iacca:
Peeking inside Sparse Neural Networks using Multi-Partite Graph Representations. CoRR abs/2305.16886 (2023) - 2022
- [j14]J. S. Panman de Wit, Doina Bucur, J. van der Ham:
Dynamic Detection of Mobile Malware Using Smartphone Data and Machine Learning. DTRAP 3(2): 9:1-9:24 (2022) - [c28]Raef Kazi, Alessandra Amato, Shenghui Wang, Doina Bucur:
Visualisation Methods for Diachronic Semantic Shift. SDP@COLING 2022: 89-94 - [c27]Elia Cunegatti, Giovanni Iacca, Doina Bucur:
Large-Scale Multi-objective Influence Maximisation with Network Downscaling. PPSN (2) 2022: 207-220 - [i10]Frank Stapel, Floris Weers, Doina Bucur:
Bias in Automated Image Colorization: Metrics and Error Types. CoRR abs/2202.08143 (2022) - [i9]Bart Verkuil, Carlos E. Budde, Doina Bucur:
Automated fault tree learning from continuous-valued sensor data: a case study on domestic heaters. CoRR abs/2203.07374 (2022) - [i8]Elia Cunegatti, Giovanni Iacca, Doina Bucur:
Large-scale multi-objective influence maximisation with network downscaling. CoRR abs/2204.06250 (2022) - 2021
- [j13]Giovanni Iacca, Kateryna Konotopska, Doina Bucur, Alberto Tonda:
An evolutionary framework for maximizing influence propagation in social networks. Softw. Impacts 9: 100107 (2021) - [c26]Frank Ruis, Gertjan J. Burghouts, Doina Bucur:
Independent Prototype Propagation for Zero-Shot Compositionality. NeurIPS 2021: 10641-10653 - [i7]Frank Ruis, Gertjan J. Burghouts, Doina Bucur:
Independent Prototype Propagation for Zero-Shot Compositionality. CoRR abs/2106.00305 (2021) - [i6]J. S. Panman de Wit, J. van der Ham, Doina Bucur:
Dynamic detection of mobile malware using smartphone data and machine learning. CoRR abs/2107.11167 (2021) - [i5]Doina Bucur:
The network signature of constellation line figures. CoRR abs/2110.12329 (2021) - [i4]Thi Kim Nhung Dang, Doina Bucur, Berk Atil, Guillaume Pitel, Frank Ruis, Hamid Reza Kadkhodaei, Nelly Litvak:
Prediction of new outlinks for focused Web crawling. CoRR abs/2111.05062 (2021) - 2020
- [j12]Doina Bucur, Petter Holme:
Beyond ranking nodes: Predicting epidemic outbreak sizes by network centralities. PLoS Comput. Biol. 16(7) (2020) - [j11]Andrei Dragulinescu, Ana-Maria Dragulinescu, Gabriela Zinca, Doina Bucur, Valentin Feies, Dumitru-Marius Neagu:
Smart Socks and In-Shoe Systems: State-of-the-Art for Two Popular Technologies for Foot Motion Analysis, Sports, and Medical Applications. Sensors 20(15): 4316 (2020) - [i3]Doina Bucur:
Top influencers can be identified universally by combining classical centralities. CoRR abs/2006.07657 (2020)
2010 – 2019
- 2019
- [j10]Doina Bucur:
Gender homophily in online book networks. Inf. Sci. 481: 229-243 (2019) - [j9]Meike Nauta, Doina Bucur, Christin Seifert:
Causal Discovery with Attention-Based Convolutional Neural Networks. Mach. Learn. Knowl. Extr. 1(1): 312-340 (2019) - [c25]Ioan Coman, Ana-Maria Claudia Dragulinescu, Doina Bucur, Andrei Dragulinescu, Simona Halunga, Octavian Fratu:
Anthropomorphic EMG-Driven Prosthetic Hand. FABULOUS 2019: 3-11 - [c24]Herson Esquivel-Vargas, Marco Caselli, Erik Tews, Doina Bucur, Andreas Peter:
BACRank: Ranking Building Automation and Control System Components by Business Continuity Impact. SAFECOMP 2019: 183-199 - [c23]Alexis Linard, Doina Bucur, Mariëlle Stoelinga:
Fault Trees from Data: Efficient Learning with an Evolutionary Algorithm. SETTA 2019: 19-37 - [i2]Alexis Linard, Doina Bucur, Mariëlle Stoelinga:
Fault Trees from Data: Efficient Learning with an Evolutionary Algorithm. CoRR abs/1909.06258 (2019) - 2018
- [c22]Doina Bucur, Giovanni Iacca, Andrea Marcelli, Giovanni Squillero, Alberto Paolo Tonda:
Improving Multi-objective Evolutionary Influence Maximization in Social Networks. EvoApplications 2018: 117-124 - [c21]Doina Bucur, Giovanni Iacca, Andrea Marcelli, Giovanni Squillero, Alberto Paolo Tonda:
Evaluating surrogate models for multi-objective influence maximization in social networks. GECCO (Companion) 2018: 1258-1265 - [c20]Meike Nauta, Doina Bucur, Mariëlle Stoelinga:
LIFT: Learning Fault Trees from Observational Data. QEST 2018: 306-322 - [i1]Doina Bucur, Giovanni Iacca, Marco Gaudesi, Giovanni Squillero, Alberto Paolo Tonda:
Optimizing groups of colluding strong attackers in mobile urban communication networks with evolutionary algorithms. CoRR abs/1810.02713 (2018) - 2017
- [j8]Doina Bucur, Giovanni Iacca:
Improved search methods for assessing Delay-Tolerant Networks vulnerability to colluding strong heterogeneous attacks. Expert Syst. Appl. 80: 311-322 (2017) - [j7]Doina Bucur:
A stochastic de novo assembly algorithm for viral-sized genomes obtains correct genomes and builds consensus. Inf. Sci. 420: 184-199 (2017) - [j6]Beniamin Bogosel, Doina Bucur, Alessandro Giacomini:
Optimal Shapes Maximizing the Steklov Eigenvalues. SIAM J. Math. Anal. 49(2): 1645-1680 (2017) - [c19]Doina Bucur:
Towards accurate de novo assembly for genomes with repeats. CIBCB 2017: 1-8 - [c18]Doina Bucur:
On the Gender of Books: Author Gender Mixing in Book Communities. COMPLEX NETWORKS 2017: 797-808 - [c17]Doina Bucur:
De Novo DNA Assembly with a Genetic Algorithm Finds Accurate Genomes Even with Suboptimal Fitness. EvoApplications (1) 2017: 67-82 - [c16]Doina Bucur, Giovanni Iacca, Andrea Marcelli, Giovanni Squillero, Alberto Paolo Tonda:
Multi-objective Evolutionary Algorithms for Influence Maximization in Social Networks. EvoApplications (1) 2017: 221-233 - 2016
- [j5]Doina Bucur, Giovanni Iacca, Marco Gaudesi, Giovanni Squillero, Alberto Paolo Tonda:
Optimizing groups of colluding strong attackers in mobile urban communication networks with evolutionary algorithms. Appl. Soft Comput. 40: 416-426 (2016) - [c15]Doina Bucur, Giovanni Iacca:
Influence Maximization in Social Networks with Genetic Algorithms. EvoApplications (1) 2016: 379-392 - [c14]Bas de Bruijn, Tuan Anh Nguyen, Doina Bucur, Kenji Tei:
Benchmark Datasets for Fault Detection and Classification in Sensor Data. SENSORNETS 2016: 185-195 - 2015
- [j4]Doina Bucur, Giovanni Iacca, Pieter-Tjerk de Boer:
Characterizing topological bottlenecks for data delivery in CTP using simulation-based stress testing with natural selection. Ad Hoc Networks 30: 22-45 (2015) - [c13]Doina Bucur, Giovanni Iacca, Giovanni Squillero, Alberto Paolo Tonda:
Black Holes and Revelations: Using Evolutionary Algorithms to Uncover Vulnerabilities in Disruption-Tolerant Networks. EvoApplications 2015: 29-41 - 2014
- [j3]Doina Bucur, Giovanni Iacca, Giovanni Squillero, Alberto Paolo Tonda:
The impact of topology on energy consumption for collection tree protocols: An experimental assessment through evolutionary computation. Appl. Soft Comput. 16: 210-222 (2014) - [c12]Doina Bucur, Giovanni Iacca, Giovanni Squillero, Alberto Paolo Tonda:
The tradeoffs between data delivery ratio and energy costs in wireless sensor networks: a multi-objectiveevolutionary framework for protocol analysis. GECCO 2014: 1071-1078 - 2013
- [c11]Doina Bucur, Giovanni Iacca, Giovanni Squillero, Alberto Paolo Tonda:
An Evolutionary Framework for Routing Protocol Analysis in Wireless Sensor Networks. EvoApplications 2013: 1-11 - [c10]Nick van Beest, Doina Bucur:
Continuous Correctness of Business Processes Against Process Interference. SOCA 2013: 110-117 - [c9]Tuan Anh Nguyen, Doina Bucur, Marco Aiello, Kenji Tei:
Applying time series analysis and neighbourhood voting in a decentralised approach for fault detection and classification in WSNs. SoICT 2013: 234-241 - [c8]Tuan Anh Nguyen, Viktoriya Degeler, Rosario Contarino, Alexander Lazovik, Doina Bucur, Marco Aiello:
Towards Context Consistency in a Rule-Based Activity Recognition Architecture. UIC/ATC 2013: 625-630 - 2012
- [c7]Doina Bucur:
Temporal Monitors for TinyOS. RV 2012: 96-109 - 2011
- [j2]Doina Bucur, Marta Z. Kwiatkowska:
On software verification for sensor nodes. J. Syst. Softw. 84(10): 1693-1707 (2011) - [c6]Doina Bucur:
Intelligible TinyOS Sensor Systems: Explanations for Embedded Software. CONTEXT 2011: 54-66 - 2010
- [c5]Doina Bucur, Marta Z. Kwiatkowska:
Software verification for TinyOS. IPSN 2010: 400-401
2000 – 2009
- 2009
- [c4]Doina Bucur, Marta Z. Kwiatkowska:
Bug-Free Sensors: The Automatic Verification of Context-Aware TinyOS Applications. AmI 2009: 101-105 - 2008
- [c3]Doina Bucur, Mogens Nielsen:
Secure Data Flow in a Calculus for Context Awareness. Concurrency, Graphs and Models 2008: 439-456 - [c2]Doina Bucur, Mikkel Baun Kjærgaard:
GammaSense: Infrastructureless Positioning Using Background Radioactivity. EuroSSC 2008: 69-82 - 2007
- [j1]Doina Bucur, Jakob E. Bardram:
Resource Discovery in Activity-Based Sensor Networks. Mob. Networks Appl. 12(2-3): 129-142 (2007) - 2006
- [c1]Doina Bucur, Jakob E. Bardram:
Resource Discovery in Activity-Based Sensor Networks. PervasiveHealth 2006: 1-10
Coauthor Index
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last updated on 2024-11-22 19:42 CET by the dblp team
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