Sicco Verwer
Citado por
Citado por
Three naive bayes approaches for discrimination-free classification
T Calders, S Verwer
Data mining and knowledge discovery 21, 277-292, 2010
Exact DFA identification using SAT solvers
MJH Heule, S Verwer
Grammatical Inference: Theoretical Results and Applications: 10th …, 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, 129-154, 2014
Learning decision trees with flexible constraints and objectives using integer optimization
S Verwer, Y Zhang
Integration of AI and OR Techniques in Constraint Programming: 14th …, 2017
Software model synthesis using satisfiability solvers
MJH Heule, S Verwer
Empirical Software Engineering 18 (4), 825-856, 2013
A likelihood-ratio test for identifying probabilistic deterministic real-time automata from positive data
S Verwer, M de Weerdt, C Witteveen
Grammatical Inference: Theoretical Results and Applications: 10th …, 2010
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
Auction optimization using regression trees and linear models as integer programs
S Verwer, Y Zhang, QC Ye
Artificial Intelligence 244, 368-395, 2017
Improving active Mealy machine learning for protocol conformance testing
F Aarts, H Kuppens, J Tretmans, F Vaandrager, S Verwer
Machine learning 96, 189-224, 2014
An algorithm for learning real-time automata
S Verwer, M De Weerdt, C Witteveen
Proc of. the Annual Belgian-Dutch Machine Learning Conference (Benelearn’078), 2007
Efficiently identifying deterministic real-time automata from labeled data
S Verwer, M de Weerdt, C Witteveen
Machine learning 86, 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
MOHA: A multi-mode hybrid automaton model for learning car-following behaviors
Q Lin, Y Zhang, S Verwer, J Wang
IEEE Transactions on Intelligent Transportation Systems 20 (2), 790-796, 2018
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