Sicco Verwer

2017
Zhang Y, Lin Q, Wang J, Verwer SE, Dolan J. Data-driven Behavior Generation Algorithm in Car-following Scenarios. In: 25th International Symposium on Dynamics of Vehicles on Roads and Tracks (IAVSD 2017). 25th International Symposium on Dynamics of Vehicles on Roads and Tracks (IAVSD 2017). Queensland, Australia; 2017.
Veugen T, Doumen J, Erkin Z, et al. Improved privacy of dynamic group services. EURASIP Journal on Information Security. 2017;1:1-9. Download: Improved privacy of dynamic group services - 2017.pdf (606.13 KB)
Liu X, Lin Q, Verwer SE, Jarnikov DS. Anomaly Detection in Digital Video Broadcasting System Using Timed Automata. In: Thirty-Second Annual ACM/IEEE Symposium on Logic in Computer Science (LICS) Workshop on Learning and Automata (LearnAut). Thirty-Second Annual ACM/IEEE Symposium on Logic in Computer Science (LICS) Workshop on Learning and Automata (LearnAut). Reykjavik, Iceland; 2017.
Zhang Y, Lin Q, Wang J, Verwer SE. Learning Car-following Behaviors Using Timed Automata. In: The 20th World Congress of the International Federation of Automatic Control (IFAC 2017). The 20th World Congress of the International Federation of Automatic Control (IFAC 2017). Toulouse, France; 2017.
2016
Hammerschmidt C, Verwer SE, Lin Q, State R. Interpreting Finite Automata for Sequential Data. In: Interpretable ML for Complex Systems NIPS 2016 Workshop. Interpretable ML for Complex Systems NIPS 2016 Workshop. Barcelona; 2016.
Pellegrino G, Hammerschmidt C, Lin Q, Verwer SE. Learning Behavioral Fingerprints From Netflows Using Timed Automata. In: 15th IFIP/IEEE International Symposium on Integrated Network Management (IM 2017). 15th IFIP/IEEE International Symposium on Integrated Network Management (IM 2017).; 2016.
Pellegrino G, Lin Q, Hammerschmidt C, Verwer SE. Learning Deterministic Finite Automata from Infinite Alphabets. In: International Conference on Grammatical Inference 2016. International Conference on Grammatical Inference 2016.; 2016.
Lin Q, Hammerschmidt C, Pellegrino G, Verwer SE. Short-term Time Series Forecasting with Regression Automata. In: ACM SIGKDD 2016 Workshop on Mining and Learning from Time Series (MiLeTS). ACM SIGKDD 2016 Workshop on Mining and Learning from Time Series (MiLeTS).; 2016. Download: short-term-time.pdf (345.51 KB)
2015
2014
Smetsers R, Volpato M, Vaandrager FW, Verwer SE. Bigger is Not Always Better: on the Quality of Hypotheses in Active Automata Learning. In: The 12th International Conference on Grammatical Inference.Vol 34. The 12th International Conference on Grammatical Inference.; 2014:167-181.
Labarre A, Verwer SE. Merging partially labelled trees: hardness and a declarative programming solution. IEEE/ACM Transactions on Comptational Biology and Bioinformatics. 2014;11:389-397.
2013
van den Braak S, Choenni S, Verwer SE. Combining and analyzing judicial databases. In: Discrimination and Privacy in the Information Society. Discrimination and Privacy in the Information Society.; 2013:191–206.
Hommersom A, Verwer SE, Lucas PJF. Discovering Probabilistic Structures of Healthcare Processes. In: Process Support and Knowledge Representation in Health Care. Process Support and Knowledge Representation in Health Care.; 2013:53–67.
De Paula Costa E, Verwer SE, Blockeel H. Estimating Prediction Certainty in Decision Trees. In: Advances in Intelligent Data Analysis (IDA). Advances in Intelligent Data Analysis (IDA).; 2013:138–149.
Verwer SE, Calders T. Introducing Positive Discrimination in Predictive Models. In: Discrimination and Privacy in the Information Society. Discrimination and Privacy in the Information Society.; 2013:255–270.
Verwer SE, van den Braak S, Choenni S. Sharing confidential data for algorithm development by multiple imputation. In: Proceedings of the International Conference on Scientific and Statistical Database Management (SSDBM). Proceedings of the International Conference on Scientific and Statistical Database Management (SSDBM).; 2013:42.
2012
Kamiran F, Karim A, Verwer SE, Goudriaan H. Classifying socially sensitive data without discrimination: an analysis of a crime suspect dataset. In: Data Mining Workshops (ICDMW) at IEEE International Conference on Data Mining (ICDM). Data Mining Workshops (ICDMW) at IEEE International Conference on Data Mining (ICDM).; 2012:370–377.