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Doina Bucur
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Cited by
Cited by
Year
Causal discovery with attention-based convolutional neural networks
M Nauta, D Bucur, C Seifert
Machine Learning and Knowledge Extraction 1 (1), 312-340, 2019
1182019
Influence maximization in social networks with genetic algorithms
D Bucur, G Iacca
Applications of Evolutionary Computation: 19th European Conference …, 2016
792016
On software verification for sensor nodes
D Bucur, M Kwiatkowska
Journal of Systems and Software 84 (10), 1693–1707, 2011
462011
A survey of formal business process verification
H Groefsema, D Bucur
Proc. Int. Sym. Business Modeling and Software Design. Noordwijkerhout, The …, 2013
432013
Teaching Teaching & Understanding Understanding
C Brabrand, J Andersen, D Bucur, R Thorbek
322006
LIFT: learning fault trees from observational data
M Nauta, D Bucur, M Stoelinga
Quantitative Evaluation of Systems: 15th International Conference, QEST 2018 …, 2018
282018
Applying time series analysis and neighbourhood voting in a decentralised approach for fault detection and classification in WSNs
TA Nguyen, D Bucur, M Aiello, K Tei
Proceedings of the 4th Symposium on Information and Communication Technology …, 2013
282013
Software verification for TinyOS
D Bucur, MZ Kwiatkowska
Proceedings of the 9th ACM/IEEE International Conference on Information …, 2010
262010
Multi-objective evolutionary algorithms for influence maximization in social networks
D Bucur, G Iacca, A Marcelli, G Squillero, A Tonda
Applications of Evolutionary Computation: 20th European Conference …, 2017
232017
Benchmark Datasets for Fault Detection and Classification in Sensor Data.
B de Bruijn, TA Nguyen, D Bucur, K Tei
SENSORNETS, 185-195, 2016
212016
Temporal monitors for TinyOS
D Bucur
Runtime Verification: Third International Conference, RV 2012, Istanbul …, 2013
202013
Fault trees from data: Efficient learning with an evolutionary algorithm
A Linard, D Bucur, M Stoelinga
Dependable Software Engineering. Theories, Tools, and Applications: 5th …, 2019
182019
Improving multi-objective evolutionary influence maximization in social networks
D Bucur, G Iacca, A Marcelli, G Squillero, A Tonda
Applications of Evolutionary Computation: 21st International Conference …, 2018
182018
Secure data flow in a calculus for context awareness
D Bucur, M Nielsen
Concurrency, Graphs and Models, 439-456, 2008
182008
Resource Discovery in Activity-Based Sensor Networks
D Bucur, JE Bardram
Mobile Networks and Applications, 2007, 2007
182007
Top influencers can be identified universally by combining classical centralities
D Bucur
Scientific reports 10 (1), 1-14, 2020
162020
Optimizing groups of colluding strong attackers in mobile urban communication networks with evolutionary algorithms
D Bucur, G Iacca, M Gaudesi, G Squillero, A Tonda
Applied Soft Computing 40, 416-426, 2016
162016
The impact of topology on energy consumption for collection tree protocols: An experimental assessment through evolutionary computation
D Bucur, G Iacca, G Squillero, A Tonda
Applied Soft Computing 16, 210-222, 2014
162014
Beyond ranking nodes: Predicting epidemic outbreak sizes by network centralities
D Bucur, P Holme
PLoS computational biology 16 (7), e1008052, 2020
142020
FFORT: a benchmark suite for fault tree analysis
E Ruijters, CE Budde, MC Nakhaee, MIA Stoelinga, D Bucur, D Hiemstra, ...
Singapore: Research Publishing, 2019
142019
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