Walter Kosters
Universitair hoofddocent
- Naam
- Dr. W.A. Kosters
- Telefoon
- +31 71 527 7059
- w.a.kosters@liacs.leidenuniv.nl
- ORCID iD
- 0000-0001-8860-0390
Walter is universitair hoofddocent computerwetenschappen aan het Leiden Institute of Advanced Computer Science (LIACS) aan de Universiteit Leiden. Zijn huidige onderzoeksinteresses zijn: neurale netwerken, genetische algoritmen, analyse van algoritmen, concrete wiskunde, NP-volledigheid, bio-informatica, kortom: datamining en kunstmatige intelligentie. Meer informatie over Walter Kosters op zijn Engelstalige profielpagina.
Promovendi
Nieuws
Zie ook
Universitair hoofddocent
- Wiskunde en Natuurwetenschappen
- Leiden Inst of Advanced Computer Science
- Lin J., Yang X., Kosters W.A., Xu T., Jia Y., Wang S., Zhu Q., Ryan M., Guo L., Zhang C., Lee C., Devine S.E., Eichler E.E & Ye K. (2022), Mako: a graph-based pattern growth approach to detect complex structural variants, Genomics, Proteomics and Bioinformatics 20(1): 205-218.
- Boekhout H.D., Kosters W.A. & Takes F.W. (2019), Efficiently Counting Complex Multilayer Temporal Motifs in Large-Scale Networks, Computational Social Networks 6: 8.
- Takes F.W., Kosters W.A., Witte B. & Heemskerk E.M. (2018), Multiplex network motifs as building blocks of corporate networks, Applied Network Science 3: 39.
- Boekhout H.D., Kosters W.A. & Takes F.W. (2018), Counting multilayer temporal motifs in complex networks. Aiello L., Cherifi C., Cherifi H., Lambiotte R., Lio P. & Rocha L. (red.), Complex Networks and Their Applications VII. COMPLEX NETWORKS 2018. The 7th International Conference on Complex Networks and Their Applications 11 december 2018 - 13 december 2018. Studies in Computational Intelligence nr. 812. Chem: Springer. 565-577.
- Winands M.H.M., Herik H.J. van den & Kosters W.A. (red.) (2017), Advances in Computer Games. Lecture Notes in Computer Science nr. 10664: Springer International Publishing.
- Bergh M.J.H. van den, Hommelberg A.G.M., Kosters W.A. & Spieksma F.M. (2017), Aspects of the cooperative card game Hanabi. Bosse T. & Bredeweg B. (red.), BNAIC 2016: Artificial Intelligence. 28th Benelux Conference on Artificial Intelligence (BNAIC 2016) 10 november 2016 - 11 november 2016 nr. 765. Cham: Springer. 93-105.
- Batenburg K.J., Helwerda L.S., Kosters W.A. & Meij T. van der (2017), Mobile Radio Tomography: Agent-Based Imaging. Bosse T. & Bredeweg B. (red.), BNAIC 2016: Artificial Intelligence. 28th Benelux Conference on Artificial Intelligence (BNAIC 2016) 10 november 2016 - 11 november 2016. Communications in Computer and Information Science nr. 765. Cham: Springer. 63-77.
- Takes F.W., Kosters W.A. & Witte B. (2017), Detecting Motifs in Multiplex Corporate Networks. Takes F.W., Kosters W.A. & Witte B. (red.), Complex Networks & Their Applications. International Conference on Complex Networks 28 november 2017 - 1 december 2017 nr. VI. Cham: Springer. 502-515.
- Plaat A., Kosters W.A. & Herik H.J. van den (2016), Proceedings of the 9th International Conference on Computers and Games (CG2016). Lecture Notes in Computer Science nr. 100068. Cham: Springer Verlag.
- Batenburg K.J., Helwerda L.S., Kosters W.A. & Meij T. van der (2016), Agents for mobile radio tomography, Proceedings BNAIC 2016. 28th Benelux Conference on Artificial Intelligence (BNAIC 2016) 10 november 2016 - 11 november 2016 17-24.
- Bergh M.J.H. van den, Kosters W.A. & Spieksma F.M. (2016), Aspects of the cooperative card game Hanabi, Proceedings BNAIC 2016. 28th Benelux Conference on Artificial Intelligence (BNAIC 2016) 10 november 2016 - 11 november 2016 25-32.
- Plaat A., Kosters W.A. & Herik H.J. van den (red.) (2016), Computers and Games. Lecture Notes in Computer Science nr. 10068. Heidelberg: Springer.
- Herik H.J. van den, Kosters W.A. & Plaat A. (red.) (2016), Recent Advances in Computer Games, special issue of Theoretical Computer Science. Theoretical Computer Science: Elsevier.
- Borassi M., Crescenzi P., Habib M., Kosters W.A., Marino A. & Takes F.W. (2015), Fast Graph Diameter and Radius BFS-Based Computation in (Weakly Connected) Real-World Graphs, Theoretical Computer Science 586: 59-80.
- Plaat A., Herik H.J. van den & Kosters W.A. (red.) (2015), Proceedings of the 14th Advances in Computer Games Conference ACG2015 nr. 9525: Springer.
- Plaat A., Herik H.J. van den & Kosters W.A. (red.) (2015), Advances in Computer Games. Lecture Notes in Computer Science nr. LNCS 9525. Switzerland: Springer International Publishing.
- Hoogeboom H.J., Kosters W.A., Rijn J.N. van & Vis J.K. (2014), Acyclic Constraint Logic and Games, ICGA Journal 37(1): 3-16.
- Schraagen M.P. & Kosters W.A. (2014), Record Linkage using Graph Consistency, Proceedings Machine Learning and Data Mining in Pattern Recognition (MLDM 2014). nr. LNAI 8556 471-483.
- Borassi M., Cresenzi P., Habib M., Dal G.H., Kosters W.A., Marino A. & Takes F.W. (2014), On the Solvability of the Six Degrees of Kevin Bacon Game - A Faster Graph Diameter and Radius Computation Method, Lecture Notes in Computer Science. nr. 8496: Springer. 52-63.
- Takes F.W. & Kosters W.A. (2014), Adaptive Landmark Selection Strategies for Fast Shortest Path Computation in Large Real-World Graphs, Proceedings 13th IEEE/ACM International Conference on Web Intelligence (WI 2014). Proceedings of the 13th IEEE/ACM International Conference on Web Intelligence (WI 2014): IEEE. 632-639.
- Dal G.H., Kosters W.A. & Takes F.W. (2014), Fast Diameter Computation of Large Sparse Graphs using GPUs, Proceedings 22nd IEEE International Conference on Parallel, Distributed and network-based Processing (PDP 2014). 22nd IEEE International Conference on Parallel, Distributed and network-based Processing (PDP 2014) 12 februari 2014 - 14 februari 2014: IEEE. 632-639.
- Takes F.W. & Kosters W.A. (2013), Mining User-Generated Path Traversal Patterns in an Information Network, Proceedings of the 12th IEEE/WIC/ACM International Conference on Web Intelligence. IEEE/WIC/ACM International Conference on Web Intelligence 284-289.
- Takes F.W. & Kosters W.A. (2013), Computing the Eccentricity Distribution of Large Graphs, Algorithms 6(1): 100-118.
- Terroba A., Kosters W.A., Varona J. & Manresa-Yee C.S. (2013), Finding Optimal Strategies in Tennis from Video Sequences, International Journal of Pattern Recognition and Artificial Intelligence 27(6): .
- Chatham R.D., Doyle M., Jeffers R.J., Kosters W.A., Skaggs R.D. & Ward J.A. (2012), Centrosymmetric Solutions to Chessboard Separation Problems, Bulletin of the Institute of Combinatorics and its Applications 65: .
- Batenburg K.J. & Kosters W.A. (2012), On the Difficulty of Nonograms, ICGA Journal 35: 195-205.
- Takes F.W. & Kosters W.A. (2012), The Difficulty of Path Traversal in Information Networks, Proceedings of 4th International Conference on Knowledge Discovery and Information Retrieval (KDIR '12). 138-144.
- Schraagen M.P. & Kosters W.A. (2012), Data-driven Name Reduction for Record Linkage, Second International Conference on Innovative Computing Technology (INTECH 2012). .
- Batenburg K.J. & Kosters W.A. (2012), Nonograms, Nieuwsbrief van de Nederlandse Vereniging voor Theoretische Informatica 16: 49-62.
- Luiten M., Kosters W.A. & Takes F.W. (2012), Topical Influence on Twitter: A Feature Construction Approach, Proceedings of 24th Benelux Conference on Artificial Intelligence (BNAIC'12). 139-146.
- Takes F.W. & Kosters W.A. (2011), Identifying Prominent Actors in Online Social Networks using Biased Random Walks, Proceedings of 23rd Benelux Conference on Artificial Intelligence (BNAIC 2011). 215-222.
- Kentsch A., Kosters W.A., Putten P.W.H. van der & Takes F.W. (2011), Exploratory Recommendations using Wikipedia's Linking Structure, Proceedings of 20th Belgian Netherlands Conference on Machine Learning (Benelearn). 61-68.
- Takes F.W. & Kosters W.A. (2011), Determining the Diameter of Small World Networks, Proceedings of 20th ACM Conference on Information and Knowledge Management (CIKM 2011). 1191-1196.
- Vis J.K., Kosters W.A. & Batenburg K.J. (2011), Discrete Tomography: A Neural Network Approach, Proceedings of 23rd Benelux Conference on Artificial Intelligence (BNAIC 2011). 328-335.
- Vis J.K., Kosters W.A. & Terroba A. (2010), Tennis Patterns: Player, Match and Beyond, 22nd Benelux Conference on Artificial Intelligence (BNAIC 2010). BNAIC 2010.
- Takes F.W. & Kosters W.A. (2010), Applying Monte Carlo Techniques to the Capacitated Vehicle Routing Problem, Proceedings 22nd Benelux Conference on Artificial Intelligence (BNAIC 2010). 22th Benelux Conference on Artificial Intelligence (BNAIC 2010).
- Pijls W. & Kosters W.A. (2010), Mining Frequent Itemsets: A Perspective from Operations Research, Statistica Neerlandica 64: 367-387.
- Terroba A., Kosters W.A. & Vis J.K. (2010), Tactical Analysis Modeling through Data Mining: Pattern Discovery in Racket Sports, International Conference on Knowledge Discovery and Information Retrieval (KDIR 2010). KDIR 2010.
- Batenburg K.J., Henstra S., Kosters W.A. & Palenstijn W.J. (2009), Constructing Simple Nonograms of Varying Difficulty, Pure Mathematics and Applications (Pu.M.A.) 20: 1-15.
- Batenburg K.J. & Kosters W.A. (2009), Solving Nonograms by Combining Relaxations, Pattern Recognition 42: 1672-1683.
- Takes F.W. & Kosters W.A. (2009), Solving SameGame and its Chessboard Variant, Proceedings 21st Benelux Conference on Artificial Intelligence (BNAIC 2009). 249-256.
- Broekens D.J., Kosters W.A. & De Vries T. (2009), Eye Movements Disclose Decisions in Set, Proceedings 21th Benelux Conference on Artificial Intelligence (BNAIC 2009). 43-50.
- Cocx T.K., Kosters W.A. & Laros J.F.J. (2008), An Early Warning System for the Prediction of Criminal Careers. In: , MICAI 2008: Advances in Artificial Intelligence. Berlin / Heidelberg: Springer. 77-89.
- Batenburg K.J. & Kosters W.A. (2008), Automatic Generation of Japanese Puzzles. Nijholt A., Pantic M., Poel M. & Hondorp H. (red.), 20th Belgium-Netherlands Conference on Artificial Intelligence. 387-388.
- Graaf E.H. de, Kok J.N. & Kosters W.A. (2008), Mining Balanced Patterns in Web Access Data. Gammerman A. (red.), IASTED International Conference on Artificial Intelligence and Applications. 595-147.
- Graaf E.H. de & Kosters W.A. (2008), Visualizing Co-occurrence of Self-Optimizing Fragment Groups. Nijholt A., Pantic M., Poel M. & Hondorp H. (red.), 20th Belgium-Netherlands Conference on Artificial Intelligence. 81-88.
- Batenburg K.J. & Kosters W.A. (2008), A Reasoning Framework for Solving Nonograms. In: , Combinatorial Image Analysis. Berlin/Heidelberg: Springer. 372-383.
- Hoogeboom H.J., Kosters W.A. & Laros J.F.J. (2008), Selection of DNA Markers, IEEE Transactions on Systems, Man, and Cybernetics 38(1): 26-32.
- Cocx T.K., Kosters W.A. & Laros J.F.J. (2008), Temporal Extrapolation within a Static Clustering. In: , Foundations of Intelligent Systems: Springer Berlin / Heidelberg. 189-195.
- Umanski D., Kosters W.A., Verbeek F.J. & Schiller N.O. (2008), Integrating computer games in speech therapy for children who stutter. Berkling K., Giuliani D. & Potamianos A. (red.), The 1st Workshop on Child, Computer and Interaction, {WOCCI} 2008. 1st Workshop on Child, Computer and Interaction, WOCCI 2008 23 oktober 2008 - 23 oktober 2008: ISCA. 17-17.
- Broekens D.J., DeGroot D. & Kosters W.A. (2008), Formal models of appraisal: Theory, specification, and computational model, Cognitive Systems Research 9: 173-197.
- Graaf E.H. de, Kok J.N. & Kosters W.A. (2007), Clustering Improves the Exploration of Graph Mining Results. Boukis C., Pnevmatikakis A. & Polymenakos L. (red.), Artificial Intelligence and Innovations 2007: from Theory to Applications, Proceedings of the 4th IFIP International Conference on Artificial Intelligence, Applications and Innovations (AIAI07). : Springer. 13-20.
- Laros J.F.J. & Kosters W.A. (2007), Metrics for Mining Multisets. Bramer M., Coenen F. & Petridis M. (red.), Research and Development in Intelligent Systems XXIV, Proceedings of AI-2007, the Twenty-seventh SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence. : Springer. 293-303.
- Ye K., Kosters W.A. & IJzerman A.P. (2007), An efficient, versatile and scalable pattern growth approach to mine frequent patterns in unaligned protein sequences, BIOINFORMATICS 23(6): 687-693.
- Cocx T.K. & Kosters W.A. (2007), Adapting and Visualizing Association Rule Mining Systems for Law Enforcement Purposes. Dastani M.M. & Jong E. de (red.), 19th Belgium-Netherlands Conference on Artificial Intelligence (BNAIC 2007). 88-95.
- Laros J.F.J. & Kosters W.A. (2007), Visualization on a Closed Surface. Dastani M.M. & Jong E. de (red.), 19th Belgium-Netherlands Conference on Artificial Intelligence (BNAIC 2007). 189-195.
- Broekens D.J., Kosters W.A. & Verbeek F.J. (2007), On affect and self-adaptation: potential benefits of valence-controlled action-selection. Mira J. & Alvarez J.R. (red.), Bio-inspired modeling of cognitive tasks. International Work-Conference on the Interplay Between Natural and Artificial Computation IWINAC 2007: Bio-inspired Modeling of Cognitive Tasks 18 juni 2007 - 21 juni 2007. Lecture Notes in Computer Science nr. 4527. Berlin/Heidelberg: Springer. 357-366.
- Graaf E.H. de, Kazius J., Kok J.N. & Kosters W.A. (2007), Visualization and Grouping of Graph Patterns in Molecular Databases. Bramer M., Coenen F. & Petridis M. (red.), Research and Development in Intelligent Systems XXIV. Proceedings of AI-2007, the Twenty-seventh SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence: Springer. 267-280.
- Graaf E.H. de, Kok J.N. & Kosters W.A. (2007), Displaying Co-occurrences of Patterns in Streams for Website Usage Analysis. Dastani M.M. & Jong E. de (red.), 19th Belgium-Netherlands Conference on Artificial Intelligence (BNAIC 2007). 143-150.
- Ye K., Kosters W.A. & IJzerman A.P. (2007), Versatile and Scalable Pattern Growth Approach to Mine Frequent Patterns in Unaligned Protein Sequences, BIOINFORMATICS 23: 687-693.
- Broekens D.J., Kosters W.A. & Verbeek F.J. (2007), Affect, anticipation, and adaptation: affect-controlled selection of anticipatory simulation in artificial adaptive agents, Adaptive Behavior 15(4): 397-422.
- Bruin J.S. de, Cocx T.K., Kosters W.A., Laros J.F.J. & Kok J.N. (2006), Data Mining Approaches to Criminal Career Analysis. Clifton C.W., Zhong N., Liu J., Wah B.W. & Wu X. (red.), Sixth IEEE International Conference on Data Mining. 171-177.
- Graaf E.H. de & Kosters W.A. (2006), Mining for Stable Patterns: Regular Intervals between Occurrences. Schobbens P.-Y., Vanhoof W. & Schwanen G. (red.), BNAIC 2006. 149-155.
- Bruin J.S. de, Cocx T.K., Kosters W.A., Laros J.F.J. & Kok J.N. (2006), Onto Clustering of Criminal Careers. Ackermann M., Soares C. & Guidemann B. (red.), Practical Data Mining: Applications, Experiences and Challenges. ECML/PKDD-2006 90-93.
- Cocx T.K. & Kosters W.A. (2006), A Distance Measure for Determining Similarity between Criminal Investigations. Perner P. (red.), Data Mining. 6th Industrial Conference on Data Mining (ICDM) 2006. Lecture Notes in Artificial Intelligence 511-525.
- Broekens D.J., Cocx T.K. & Kosters W.A. (2006), Object-Centered Interactive Multi-Dimensional Scaling: Ask the Expert. Schobbens P.-Y., Vanhoof W. & Schwanen G. (red.), BNAIC 2006. .
- Graaf E.H. de, Graaf J.M. de & Kosters W.A. (2006), Using Consecutive Support for Genomic Profiling. Hilarion M. & Nédellec C. (red.), Data and Text Mining for Integrative Biology. ECML/PKDD-2006 Workshop 16-27.
- Batenburg K.J. & Kosters W.A. (2006), A neural network approach to real-time discrete tomography, 4040: 389-403.
- Graaf J.M. de, Menezes R.X. de, Boer J.M. & Kosters W.A. (2005), Frequent Itemsets for Genomic Profiling, Computational Life Sciences. Berthold M.R., Glen R., Diederichs K., Kohlbacher O. & Fischer I. (red.), Computational Life Sciences, Proceedings of the First International Symposium (CompLife 2005). 104-116.
- Graaf E.H. de & Kosters W.A. (2005), Efficient Feature Detection for Sequence Classification in a Receptor Database, Proceedings of the 17th Belgian-Dutch Conference on Artificial Inteligence (BNAIC 2005). 81-88.
- Hoogeboom H.J. & Kosters W.A. (2005), The Theory of Tetris, Nieuwsbrief van de Nederlandse Vereniging voor Theoretische Informatica 9: 14-21.
- Breukelaar R., Demaine E.D., Hohenberger S., Hoogeboom H.J., Kosters W.A. & Liben-Nowell D. (2004), Tetris is hard, even to approximate, International Journal of Computational Geometry & Applications 14(1-2): 41-68.
- Hoogeboom H.J. & Kosters W.A. (2004), Tetris and Decidability, Information Processing Letters 89: 267-272.
- Batenburg K.J. & Kosters W.A. (2004), A discrete tomography approach to Japanese puzzles. Schomaker L., Taatgen N. & Verbrugge R. (red.), Proceedings of the Belgian-Dutch Conference on Artificial Intelligence (BNAIC'04). .
- Hoogeboom H.J. & Kosters W.A. (2004), How to Construct Tetris Configurations, International Journal of Intelligent Games and Simulation 3: 94-102.
- Kosters W.A. (2002), Neutral Networks for Data Mining. In: Meij J. (red.), Dealing with the Data Flood: Mining Data, Text and Multimedia: STT Netherlands. 641-645.
- Wezel M.C. van & Kosters W.A. (2002), Numerical Integration by Cubature Formulae in Bayesian Neutral Networks. Blockeel H. & Denecker M. (red.), Proc. 14th Belgium-Netherlands Aritificial Intelligence Conference. 355-362.
- Kosters W.A. & Wezel M.C. van (2002), Competitive Neural Networks for Customer Choice Models. In: Segovia J., Szczepaniak P.S. & Niedzwiedzinski M. (red.), E-Commerce and Intelligent Methods, Studies in Fuzziness and Soft Computing. Studies in Fuzziness and Soft Computing nr. 105. Heidelberg: Physica. 41-60.
- Graaf J.M. de, Kosters W.A., Pijls W.A.M. & Popova V. (2002), A Theoretical and Practical Comparison of Depth First and FP-growth Implementations of Apriori. Blockeel H. & Denecker M. (red.), Proc. of the Fourteenth Belgium-Nethlands Artificial Intelligence Conference. 115-122.
- Keller R.E., Kosters W.A., Vaart M. van der & Witsenburg Martijn D.J. (2002), Genetic Programming Produces Strategies for Agents in a Dynamic Environment. Blockeel H. & Denecker M. (red.), Proc. of the Fourteenth Belgium-Netherlands Artificial Intelligence Conference. 171-178.
- Kwee L. & Kosters W.A. (2002), Future Cases: Data Mining in Virual Organizations. In: Meij J. (red.), Dealing with the Data Flood: Mining Data, Text and Multimedia: STT Netherlands. 335-341.
- Wezel M.C. van, Kok J.N. & Kosters W.A. (1998), Maximum likelihood weights for a linear ensemble of regression neural networks. In: Usui S. & Omori T. (red.), Proceedings of the Fifth International Conference on Neural Information Processing (ICONIP'98). Amsterdam: IOS Press. 498-501.
- Jong M.B. de & Kosters W.A. (1998), Adaptive Sampling. In: Poutré J.A. La & Herik J. van den (red.), NAIC'98, Proceedings of the 10th Netherlands/Belgium Conference on Artificial Intelligence. Amsterdam: CWI, Amsterdam. 221-228.
- Bäck T.H.W., Graaf J.M. de, Kok J.N. & Kosters W.A. (1998), Theory of Genetic Algorithms, Nieuwsbrief van de Nederlandse Vereniging voor Theoretische Informatica 2: 27-35.