default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSicco Verwer
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[e2]Frans A. Oliehoek
, Manon Kok, Sicco Verwer:
Artificial Intelligence and Machine Learning - 35th Benelux Conference, BNAIC/Benelearn 2023, Delft, The Netherlands, November 8-10, 2023, Revised Selected Papers. Communications in Computer and Information Science 2187, Springer 2025, ISBN 978-3-031-74649-9 [contents]- 2024
- [j22]Ligia Maria Moreira Zorello, Laurens Bliek, Sebastian Troia, Guido Maier, Sicco Verwer:
Black-box optimization for anticipated baseband-function placement in 5G networks. Comput. Networks 245: 110384 (2024) - [c55]Clinton Cao, Simon Schneider, Nicolás E. Díaz Ferreyra, Sicco Verwer, Annibale Panichella, Riccardo Scandariato:
CATMA: Conformance Analysis Tool For Microservice Applications. ICSE Companion 2024: 59-63 - [c54]Robert Baumgartner, Sicco Verwer:
PDFA Distillation with Error Bound Guarantees. CIAA 2024: 51-65 - [c53]Simon Dieck, Sicco Verwer:
On Bidirectional Deterministic Finite Automata. CIAA 2024: 109-123 - [p5]Willem van Jaarsveld, Alp Akçay, Laurens Bliek, Paulo da Costa, Mathijs de Weerdt, Rik Eshuis, Stella Kapodistria, Uzay Kaymak, Verus Pronk, Geert-Jan van Houtum, Peter Verleijsdonk, Sicco Verwer, Simon Voorberg, Yingqian Zhang:
Real-Time Data-Driven Maintenance Logistics: A Public-Private Collaboration. Commit2Data 2024: 5:1-5:13 - [i31]Clinton Cao, Simon Schneider, Nicolás E. Díaz Ferreyra, Sicco Verwer, Annibale Panichella, Riccardo Scandariato:
CATMA: Conformance Analysis Tool For Microservice Applications. CoRR abs/2401.09838 (2024) - [i30]Hielke Walinga, Robert Baumgartner, Sicco Verwer:
Database-assisted automata learning. CoRR abs/2406.07208 (2024) - [i29]Robert Baumgartner, Sicco Verwer:
PDFA Distillation via String Probability Queries. CoRR abs/2406.18328 (2024) - [i28]Daniël Vos, Sicco Verwer:
Optimizing Interpretable Decision Tree Policies for Reinforcement Learning. CoRR abs/2408.11632 (2024) - [i27]Jacobus G. M. van der Linden, Daniël Vos, Mathijs Michiel de Weerdt, Sicco Verwer, Emir Demirovic:
Optimal or Greedy Decision Trees? Revisiting their Objectives, Tuning, and Performance. CoRR abs/2409.12788 (2024) - 2023
- [j21]Yingqian Zhang, Laurens Bliek, Paulo da Costa, Reza Refaei Afshar, Robbert Reijnen, Tom Catshoek, Daniël Vos, Sicco Verwer, Fynn Schmitt-Ulms, André Hottung, Tapan Shah, Meinolf Sellmann, Kevin Tierney, Carl Perreault-Lafleur, Caroline Leboeuf, Federico Bobbio, Justine Pepin, Warley Almeida Silva, Ricardo Gama, Hugo L. Fernandes, Martin Zaefferer, Manuel López-Ibáñez, Ekhine Irurozki:
The first AI4TSP competition: Learning to solve stochastic routing problems. Artif. Intell. 319: 103918 (2023) - [j20]Laurens Bliek, Arthur Guijt, Rickard Karlsson, Sicco Verwer, Mathijs de Weerdt:
Benchmarking surrogate-based optimisation algorithms on expensive black-box functions. Appl. Soft Comput. 147: 110744 (2023) - [c52]Azqa Nadeem, Daniël Vos, Clinton Cao, Luca Pajola, Simon Dieck, Robert Baumgartner, Sicco Verwer:
SoK: Explainable Machine Learning for Computer Security Applications. EuroS&P 2023: 221-240 - [c51]Simon Dieck, Sicco Verwer:
Learning Syntactic Monoids from Samples by extending known Algorithms for learning State Machines. ICGI 2023: 59-79 - [c50]Robert Baumgartner, Sicco Verwer:
Learning state machines from data streams: A generic strategy and an improved heuristic. ICGI 2023: 117-141 - [c49]Bram Verboom, Simon Dieck, Sicco Verwer:
Detecting Changes in Loop Behavior for Active Learning. ICGI 2023: 142-156 - [c48]Daniël Vos, Sicco Verwer:
Optimal Decision Tree Policies for Markov Decision Processes. IJCAI 2023: 5457-5465 - [i26]Daniël Vos, Sicco Verwer:
Optimal Decision Tree Policies for Markov Decision Processes. CoRR abs/2301.13185 (2023) - [i25]Daniël Vos, Jelle Vos, Tianyu Li, Zekeriya Erkin, Sicco Verwer:
Differentially-Private Decision Trees with Probabilistic Robustness to Data Poisoning. CoRR abs/2305.15394 (2023) - 2022
- [j19]Azqa Nadeem, Sicco Verwer, Stephen Moskal, Shanchieh Jay Yang:
Alert-Driven Attack Graph Generation Using S-PDFA. IEEE Trans. Dependable Secur. Comput. 19(2): 731-746 (2022) - [j18]Ligia Maria Moreira Zorello, Laurens Bliek, Sebastian Troia, Tias Guns, Sicco Verwer, Guido Maier:
Baseband-Function Placement With Multi-Task Traffic Prediction for 5G Radio Access Networks. IEEE Trans. Netw. Serv. Manag. 19(4): 5104-5119 (2022) - [c47]Clinton Cao, Agathe Blaise, Sicco Verwer, Filippo Rebecchi:
Learning State Machines to Monitor and Detect Anomalies on a Kubernetes Cluster. ARES 2022: 117:1-117:9 - [c46]Daniël Vos, Sicco Verwer:
Robust Optimal Classification Trees against Adversarial Examples. AAAI 2022: 8520-8528 - [c45]Azqa Nadeem, Sicco Verwer:
SECLEDS: Sequence Clustering in Evolving Data Streams via Multiple Medoids and Medoid Voting. ECML/PKDD (1) 2022: 157-173 - [c44]Daniël Vos, Sicco Verwer:
Adversarially Robust Decision Tree Relabeling. ECML/PKDD (3) 2022: 203-218 - [p4]Azqa Nadeem, Vera Rimmer, Wouter Joosen, Sicco Verwer:
Intelligent Malware Defenses. Security and Artificial Intelligence 2022: 217-253 - [p3]Vera Rimmer, Azqa Nadeem, Sicco Verwer, Davy Preuveneers, Wouter Joosen:
Open-World Network Intrusion Detection. Security and Artificial Intelligence 2022: 254-283 - [i24]Laurens Bliek, Paulo da Costa, Reza Refaei Afshar, Yingqian Zhang, Tom Catshoek, Daniël Vos, Sicco Verwer, Fynn Schmitt-Ulms, André Hottung, Tapan Shah, Meinolf Sellmann, Kevin Tierney, Carl Perreault-Lafleur, Caroline Leboeuf, Federico Bobbio, Justine Pepin, Warley Almeida Silva, Ricardo Gama, Hugo L. Fernandes, Martin Zaefferer, Manuel López-Ibáñez, Ekhine Irurozki:
The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems. CoRR abs/2201.10453 (2022) - [i23]Sicco Verwer, Christian A. Hammerschmidt:
FlexFringe: Modeling Software Behavior by Learning Probabilistic Automata. CoRR abs/2203.16331 (2022) - [i22]Dennis Mouwen, Sicco Verwer, Azqa Nadeem:
Robust Attack Graph Generation. CoRR abs/2206.07776 (2022) - [i21]Azqa Nadeem, Sicco Verwer:
SECLEDS: Sequence Clustering in Evolving Data Streams via Multiple Medoids and Medoid Voting. CoRR abs/2206.12190 (2022) - [i20]Robert Baumgartner, Sicco Verwer:
Learning state machines via efficient hashing of future traces. CoRR abs/2207.01516 (2022) - [i19]Clinton Cao, Annibale Panichella, Sicco Verwer, Agathe Blaise, Filippo Rebecchi:
Encoding NetFlows for State-Machine Learning. CoRR abs/2207.03890 (2022) - [i18]Clinton Cao, Agathe Blaise, Sicco Verwer, Filippo Rebecchi:
Learning State Machines to Monitor and Detect Anomalies on a Kubernetes Cluster. CoRR abs/2207.12087 (2022) - [i17]Azqa Nadeem, Daniël Vos, Clinton Cao, Luca Pajola, Simon Dieck, Robert Baumgartner, Sicco Verwer:
SoK: Explainable Machine Learning for Computer Security Applications. CoRR abs/2208.10605 (2022) - 2021
- [j17]Laurens Bliek, Sicco Verwer, Mathijs de Weerdt:
Black-box combinatorial optimization using models with integer-valued minima. Ann. Math. Artif. Intell. 89(7): 639-653 (2021) - [j16]Qing Chuan Ye, Jason Rhuggenaath, Yingqian Zhang, Sicco Verwer, Michiel Jurgen Hilgeman:
Data driven design for online industrial auctions. Ann. Math. Artif. Intell. 89(7): 675-691 (2021) - [c43]Azqa Nadeem, Sicco Verwer, Stephen Moskal, Shanchieh Jay Yang:
Enabling Visual Analytics via Alert-driven Attack Graphs. CCS 2021: 2420-2422 - [c42]Laurens Bliek, Arthur Guijt, Sicco Verwer, Mathijs de Weerdt:
Black-box mixed-variable optimisation using a surrogate model that satisfies integer constraints. GECCO Companion 2021: 1851-1859 - [c41]Daniël Vos, Sicco Verwer:
Efficient Training of Robust Decision Trees Against Adversarial Examples. ICML 2021: 10586-10595 - [c40]Azqa Nadeem, Sicco Verwer, Shanchieh Jay Yang:
SAGE: Intrusion Alert-driven Attack Graph Extractor. VizSec 2021: 36-41 - [i16]Laurens Bliek, Arthur Guijt, Rickard Karlsson, Sicco Verwer, Mathijs de Weerdt:
EXPObench: Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions. CoRR abs/2106.04618 (2021) - [i15]Azqa Nadeem, Sicco Verwer, Stephen Moskal, Shanchieh Jay Yang:
SAGE: Intrusion Alert-driven Attack Graph Extractor. CoRR abs/2107.02783 (2021) - [i14]Daniël Vos, Sicco Verwer:
Robust Optimal Classification Trees Against Adversarial Examples. CoRR abs/2109.03857 (2021) - 2020
- [c39]Rickard Karlsson, Laurens Bliek, Sicco Verwer, Mathijs de Weerdt:
Continuous Surrogate-Based Optimization Algorithms Are Well-Suited for Expensive Discrete Problems. BNAIC/BENELEARN (Selected Papers) 2020: 48-63 - [c38]Sicco Verwer, Azqa Nadeem, Christian A. Hammerschmidt, Laurens Bliek, Abdullah Al-Dujaili, Una-May O'Reilly:
The Robust Malware Detection Challenge and Greedy Random Accelerated Multi-Bit Search. AISec@CCS 2020: 61-70 - [c37]Qin Lin, Sicco Verwer, John M. Dolan:
Safety Verification of a Data-driven Adaptive Cruise Controller. IV 2020: 2146-2151 - [c36]Mark Patrick Roeling, Azqa Nadeem, Sicco Verwer:
Hybrid Connection and Host Clustering for Community Detection in Spatial-Temporal Network Data. PKDD/ECML Workshops 2020: 178-204 - [i13]Laurens Bliek, Sicco Verwer, Mathijs de Weerdt:
Black-box Mixed-Variable Optimisation using a Surrogate Model that Satisfies Integer Constraints. CoRR abs/2006.04508 (2020) - [i12]Rickard Karlsson, Laurens Bliek, Sicco Verwer, Mathijs de Weerdt:
Continuous surrogate-based optimization algorithms are well-suited for expensive discrete problems. CoRR abs/2011.03431 (2020) - [i11]Daniël Vos, Sicco Verwer:
Efficient Training of Robust Decision Trees Against Adversarial Examples. CoRR abs/2012.10438 (2020)
2010 – 2019
- 2019
- [j15]Rowan Hoogervorst, Yingqian Zhang, Gamze Tillem, Zekeriya Erkin, Sicco Verwer:
Solving bin-packing problems under privacy preservation: Possibilities and trade-offs. Inf. Sci. 500: 203-216 (2019) - [j14]Qin Lin, Yihuan Zhang, Sicco Verwer, Jun Wang:
MOHA: A Multi-Mode Hybrid Automaton Model for Learning Car-Following Behaviors. IEEE Trans. Intell. Transp. Syst. 20(2): 790-796 (2019) - [c35]Sicco Verwer, Yingqian Zhang:
Learning Optimal Classification Trees Using a Binary Linear Program Formulation. AAAI 2019: 1625-1632 - [c34]Sicco Verwer, Yingqian Zhang:
Learning Optimal Classification Trees Using a Binary Linear Program Formulation. BNAIC/BENELEARN 2019 - [c33]Qin Lin, Sicco Verwer, Robert E. Kooij, Aditya Mathur:
Using Datasets from Industrial Control Systems for Cyber Security Research and Education. CRITIS 2019: 122-133 - [i10]Azqa Nadeem, Christian A. Hammerschmidt, Carlos Hernandez Gañán, Sicco Verwer:
MalPaCA: Malware Packet Sequence Clustering and Analysis. CoRR abs/1904.01371 (2019) - [i9]Qin Lin, Sicco Verwer, John M. Dolan:
Learning a Safety Verifiable Adaptive Cruise Controller from Human Driving Data. CoRR abs/1910.13526 (2019) - [i8]Laurens Bliek, Sicco Verwer, Mathijs de Weerdt:
Black-box Combinatorial Optimization using Models with Integer-valued Minima. CoRR abs/1911.08817 (2019) - 2018
- [j13]Yihuan Zhang, Qin Lin, Jun Wang, Sicco Verwer, John M. Dolan:
Lane-Change Intention Estimation for Car-Following Control in Autonomous Driving. IEEE Trans. Intell. Veh. 3(3): 276-286 (2018) - [c32]Qin Lin, Sridhar Adepu, Sicco Verwer, Aditya Mathur:
TABOR: A Graphical Model-based Approach for Anomaly Detection in Industrial Control Systems. AsiaCCS 2018: 525-536 - [c31]Wesley van der Lee, Sicco Verwer:
Vulnerability Detection on Mobile Applications Using State Machine Inference. EuroS&P Workshops 2018: 1-10 - [c30]Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, Uzay Kaymak, Sicco Verwer:
Learning fuzzy decision trees using integer programming. FUZZ-IEEE 2018: 1-8 - 2017
- [j12]Sicco Verwer, Yingqian Zhang, Qing Chuan Ye:
Auction optimization using regression trees and linear models as integer programs. Artif. Intell. 244: 368-395 (2017) - [j11]Thijs Veugen, Jeroen Doumen, Zekeriya Erkin, Gaetano Pellegrino, Sicco Verwer, Jos H. Weber:
Improved privacy of dynamic group services. EURASIP J. Inf. Secur. 2017: 3 (2017) - [c29]Sicco Verwer, Yingqian Zhang:
Learning Decision Trees with Flexible Constraints and Objectives Using Integer Optimization. CPAIOR 2017: 94-103 - [c28]Rick Wieman, Mauricio Finavaro Aniche, Willem Lobbezoo, Sicco Verwer, Arie van Deursen:
An Experience Report on Applying Passive Learning in a Large-Scale Payment Company. ICSME 2017: 564-573 - [c27]Sicco Verwer, Christian A. Hammerschmidt:
flexfringe: A Passive Automaton Learning Package. ICSME 2017: 638-642 - [c26]Gaetano Pellegrino, Qin Lin, Christian A. Hammerschmidt, Sicco Verwer:
Learning behavioral fingerprints from Netflows using Timed Automata. IM 2017: 308-316 - [c25]Christian A. Hammerschmidt, Sebastian Garcia, Sicco Verwer, Radu State:
Reliable Machine Learning for Networking: Key Issues and Approaches. LCN 2017: 167-170 - [e1]Sicco Verwer, Menno van Zaanen, Rick Smetsers:
Proceedings of the 13th International Conference on Grammatical Inference, ICGI 2016, Delft, The Netherlands, October 5-7, 2016. JMLR Workshop and Conference Proceedings 57, JMLR.org 2017 [contents] - [i7]Xiaoran Liu, Qin Lin, Sicco Verwer, Dmitri Jarnikov:
Anomaly Detection in a Digital Video Broadcasting System Using Timed Automata. CoRR abs/1705.09650 (2017) - [i6]Alexis Linard, Rick Smetsers, Frits W. Vaandrager, Umar Waqas, Joost van Pinxten, Sicco Verwer:
Learning Pairwise Disjoint Simple Languages from Positive Examples. CoRR abs/1706.01663 (2017) - [i5]Christian A. Hammerschmidt, Radu State, Sicco Verwer:
Human in the Loop: Interactive Passive Automata Learning via Evidence-Driven State-Merging Algorithms. CoRR abs/1707.09430 (2017) - 2016
- [c24]Christian A. Hammerschmidt, Samuel Marchal, Radu State, Sicco Verwer:
Behavioral clustering of non-stationary IP flow record data. CNSM 2016: 297-301 - [c23]Sicco Verwer, Menno van Zaanen, Rick Smetsers:
International Conference on Grammatical Inference 2016: Preface. ICGI 2016: 1-2 - [c22]Gaetano Pellegrino, Christian A. Hammerschmidt, Qin Lin, Sicco Verwer:
Learning Deterministic Finite Automata from Infinite Alphabets. ICGI 2016: 120-131 - [c21]Borja Balle, Rémi Eyraud, Franco M. Luque, Ariadna Quattoni, Sicco Verwer:
Results of the Sequence PredIction ChallengE (SPiCe): a Competition on Learning the Next Symbol in a Sequence. ICGI 2016: 132-136 - [c20]Christian A. Hammerschmidt, Samuel Marchal, Radu State, Gaetano Pellegrino, Sicco Verwer:
Efficient Learning of Communication Profiles from IP Flow Records. LCN 2016: 559-562 - [c19]Marcos L. P. Bueno, Arjen Hommersom, Peter J. F. Lucas, Sicco Verwer, Alexis Linard:
Learning Complex Uncertain States Changes via Asymmetric Hidden Markov Models: an Industrial Case. Probabilistic Graphical Models 2016: 50-61 - [i4]Rick Smetsers, Joshua Moerman, Mark Janssen, Sicco Verwer:
Complementing Model Learning with Mutation-Based Fuzzing. CoRR abs/1611.02429 (2016) - [i3]Christian Albert Hammerschmidt, Sicco Verwer, Qin Lin, Radu State:
Interpreting Finite Automata for Sequential Data. CoRR abs/1611.07100 (2016) - 2015
- [j10]Maurice Bruynooghe, Hendrik Blockeel, Bart Bogaerts, Broes De Cat, Stef De Pooter, Joachim Jansen, Anthony Labarre, Jan Ramon, Marc Denecker, Sicco Verwer:
Predicate logic as a modeling language: modeling and solving some machine learning and data mining problems with IDP3. Theory Pract. Log. Program. 15(6): 783-817 (2015) - 2014
- [j9]Sicco Verwer, Rémi Eyraud, Colin de la Higuera:
PAutomaC: a probabilistic automata and hidden Markov models learning competition. Mach. Learn. 96(1-2): 129-154 (2014) - [j8]Fides Aarts, Harco Kuppens, Jan Tretmans, Frits W. Vaandrager, Sicco Verwer:
Improving active Mealy machine learning for protocol conformance testing. Mach. Learn. 96(1-2): 189-224 (2014) - [j7]Anthony Labarre, Sicco Verwer:
Merging Partially Labelled Trees: Hardness and a DeclarativeProgramming Solution. IEEE ACM Trans. Comput. Biol. Bioinform. 11(2): 389-397 (2014) - [j6]Christophe Costa Florêncio, Sicco Verwer:
Regular inference as vertex coloring. Theor. Comput. Sci. 558: 18-34 (2014) - [c18]Rick Smetsers, Michele Volpato, Frits W. Vaandrager, Sicco Verwer:
Bigger is Not Always Better: on the Quality of Hypotheses in Active Automata Learning. ICGI 2014: 167-181 - [i2]Sicco Verwer, Yingqian Zhang, Qing Chuan Ye:
Learning optimization models in the presence of unknown relations. CoRR abs/1401.1061 (2014) - 2013
- [j5]Marijn Heule, Sicco Verwer:
Software model synthesis using satisfiability solvers. Empir. Softw. Eng. 18(4): 825-856 (2013) - [c17]Arjen Hommersom, Sicco Verwer, Peter J. F. Lucas:
Discovering Probabilistic Structures of Healthcare Processes. KR4HC/ProHealth 2013: 53-67 - [c16]Eduardo P. Costa, Sicco Verwer, Hendrik Blockeel:
Estimating Prediction Certainty in Decision Trees. IDA 2013: 138-149 - [c15]Sicco Verwer, Susan W. van den Braak, Sunil Choenni:
Sharing confidential data for algorithm development by multiple imputation. SSDBM 2013: 42:1-42:4 - [p2]Susan W. van den Braak, Sunil Choenni, Sicco Verwer:
Combining and Analyzing Judicial Databases. Discrimination and Privacy in the Information Society 2013: 191-206 - [p1]Sicco Verwer, Toon Calders:
Introducing Positive Discrimination in Predictive Models. Discrimination and Privacy in the Information Society 2013: 255-270 - [i1]Maurice Bruynooghe, Hendrik Blockeel, Bart Bogaerts, Broes De Cat, Stef De Pooter, Joachim Jansen, Anthony Labarre, Jan Ramon, Marc Denecker, Sicco Verwer:
Predicate Logic as a Modeling Language: Modeling and Solving some Machine Learning and Data Mining Problems with IDP3. CoRR abs/1309.6883 (2013) - 2012
- [j4]Sicco Verwer, Mathijs de Weerdt, Cees Witteveen:
Efficiently identifying deterministic real-time automata from labeled data. Mach. Learn. 86(3): 295-333 (2012) - [c14]Sicco Verwer, Yingqian Zhang:
Revenue prediction in budget-constrained sequential auctions with complementarities. AAMAS 2012: 1399-1400 - [c13]Christophe Costa Florêncio, Sicco Verwer:
Regular Inference as Vertex Coloring. ALT 2012: 81-95 - [c12]Faisal Kamiran, Asim Karim, Sicco Verwer, Heike Goudriaan:
Classifying Socially Sensitive Data Without Discrimination: An Analysis of a Crime Suspect Dataset. ICDM Workshops 2012: 370-377 - [c11]Hendrik Blockeel, Bart Bogaerts, Maurice Bruynooghe, Broes De Cat, Stef De Pooter, Marc Denecker, Anthony Labarre, Jan Ramon, Sicco Verwer:
Modeling Machine Learning and Data Mining Problems with FO(·). ICLP (Technical Communications) 2012: 14-25 - [c10]Yingqian Zhang, Sicco Verwer:
Mechanism for Robust Procurements. PRIMA 2012: 77-91 - [c9]Fides Aarts, Harco Kuppens, Jan Tretmans, Frits W. Vaandrager, Sicco Verwer:
Learning and Testing the Bounded Retransmission Protocol. ICGI 2012: 4-18 - [c8]Sicco Verwer, Rémi Eyraud, Colin de la Higuera:
Results of the PAutomaC Probabilistic Automaton Learning Competition. ICGI 2012: 243-248 - 2011
- [j3]Sicco Verwer, Mathijs de Weerdt, Cees Witteveen:
The efficiency of identifying timed automata and the power of clocks. Inf. Comput. 209(3): 606-625 (2011) - [c7]Sicco Verwer, Mathijs de Weerdt, Cees Witteveen:
Learning Driving Behavior by Timed Syntactic Pattern Recognition. IJCAI 2011: 1529-1534 - 2010
- [b1]Sicco Verwer:
Efficient Identification of Timed Automata: Theory and practice. Delft University of Technology, Netherlands, 2010 - [j2]Toon Calders, Sicco Verwer:
Three naive Bayes approaches for discrimination-free classification. Data Min. Knowl. Discov. 21(2): 277-292 (2010) - [c6]Ekaterina Vasilyeva, Mykola Pechenizkiy, Aleksandra Tesanovic, Evgeny Knutov, Sicco Verwer, Paul De Bra:
Towards EDM Framework for Personalization of Information Services in RPM Systems. EDM 2010: 331-332 - [c5]Marijn Heule, Sicco Verwer:
Exact DFA Identification Using SAT Solvers. ICGI 2010: 66-79 - [c4]Sicco Verwer, Mathijs de Weerdt, Cees Witteveen:
A Likelihood-Ratio Test for Identifying Probabilistic Deterministic Real-Time Automata from Positive Data. ICGI 2010: 203-216
2000 – 2009
- 2009
- [j1]Aneesh Sharma, Sicco Verwer:
Solution to exchanges 7.3 puzzle: product adoption in a social network. SIGecom Exch. 8(1) (2009) - [c3]Sicco Verwer, Mathijs de Weerdt, Cees Witteveen:
One-Clock Deterministic Timed Automata Are Efficiently Identifiable in the Limit. LATA 2009: 740-751 - 2008
- [c2]Sicco Verwer, Mathijs de Weerdt, Cees Witteveen:
Polynomial Distinguishability of Timed Automata. ICGI 2008: 238-251 - 2005
- [c1]Sicco Verwer, Mathijs de Weerdt, Cees Witteveen:
Timed Inference for Behavioral Pattern Recognition. BNAIC 2005: 291-296
Coauthor Index
Christian A. Hammerschmidt
aka: Christian Albert Hammerschmidt
aka: Christian Albert Hammerschmidt
Mathijs de Weerdt
aka: Mathijs Michiel de Weerdt
aka: Mathijs Michiel de Weerdt
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-10 21:43 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
