Sicco Verwer
Cited by
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Three naive Bayes approaches for discrimination-free classification
T Calders, S Verwer
Data mining and knowledge discovery 21 (2), 277-292, 2010
Exact DFA identification using SAT solvers
MJH Heule, S Verwer
International Colloquium on Grammatical Inference, 66-79, 2010
TABOR: A graphical model-based approach for anomaly detection in industrial control systems
Q Lin, S Adepu, S Verwer, A Mathur
Proceedings of the 2018 on asia conference on computer and communications …, 2018
Learning optimal classification trees using a binary linear program formulation
S Verwer, Y Zhang
Proceedings of the AAAI conference on artificial intelligence 33 (01), 1625-1632, 2019
Efficient identification of timed automata: Theory and practice
SE Verwer
Lane-change intention estimation for car-following control in autonomous driving
Y Zhang, Q Lin, J Wang, S Verwer, JM Dolan
IEEE Transactions on Intelligent Vehicles 3 (3), 276-286, 2018
Pautomac: a probabilistic automata and hidden markov models learning competition
S Verwer, R Eyraud, C De La Higuera
Machine learning 96 (1), 129-154, 2014
Predicate logic as a modeling language: modeling and solving some machine learning and data mining problems with IDP3
M Bruynooghe, H Blockeel, B Bogaerts, B De Cat, S De Pooter, J Jansen, ...
Theory and Practice of Logic Programming 15 (6), 783-817, 2015
A likelihood-ratio test for identifying probabilistic deterministic real-time automata from positive data
S Verwer, M Weerdt, C Witteveen
International Colloquium on Grammatical Inference, 203-216, 2010
Software model synthesis using satisfiability solvers
MJH Heule, S Verwer
Empirical Software Engineering 18 (4), 825-856, 2013
Learning decision trees with flexible constraints and objectives using integer optimization
S Verwer, Y Zhang
International Conference on AI and OR Techniques in Constraint Programming …, 2017
Auction optimization using regression trees and linear models as integer programs
S Verwer, Y Zhang, QC Ye
Artificial Intelligence 244, 368-395, 2017
An algorithm for learning real-time automata
SE Verwer, MM De Weerdt, C Witteveen
Benelearn 2007: Proceedings of the Annual Machine Learning Conference of …, 2007
Improving active Mealy machine learning for protocol conformance testing
F Aarts, H Kuppens, J Tretmans, F Vaandrager, S Verwer
Machine learning 96 (1), 189-224, 2014
Efficiently identifying deterministic real-time automata from labeled data
S Verwer, M de Weerdt, C Witteveen
Machine learning 86 (3), 295-333, 2012
Learning and testing the bounded retransmission protocol
F Aarts, H Kuppens, J Tretmans, F Vaandrager, S Verwer
International Conference on Grammatical Inference, 4-18, 2012
The efficiency of identifying timed automata and the power of clocks
S Verwer, M de Weerdt, C Witteveen
Information and Computation 209 (3), 606-625, 2011
Learning driving behavior by timed syntactic pattern recognition
S Verwer, M De Weerdt, C Witteveen
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
Results of the sequence prediction challenge (spice): a competition on learning the next symbol in a sequence
B Balle, R Eyraud, FM Luque, A Quattoni, S Verwer
International Conference on Grammatical Inference, 132-136, 2017
Flexfringe: a passive automaton learning package
S Verwer, CA Hammerschmidt
2017 IEEE International Conference on Software Maintenance and Evolution …, 2017
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