Expected Heights in Heaps. - Jeannette M. de Graaf; Walter A. Kosters (BIT, 1992)

Two neural network methods for multidimensional scaling. - Michiel C. van Wezel; Joost N. Kok; Walter A. Kosters (ESANN, 1997)

Maximum Likelihood Weights for a Linear Ensemble of Regression Neural Networks. - Michiel C. van Wezel; Walter A. Kosters; Joost N. Kok (ICONIP, 1998)

Mining Clusters with Association Rules. - Walter A. Kosters; Elena Marchiori; Ard A. J. Oerlemans (IDA, 1999)

Fourier Analysis of Genetic Algorithms. - Walter A. Kosters; Joost N. Kok; Patrik Floréen (Theor. Comput. Sci., 1999)

A Bayesian approach to combined neural networks forecasting. - Maurits D. Out; Walter A. Kosters (ESANN, 2000)

Natural Data Mining Techniques. - Joost N. Kok; Walter A. Kosters (Bull. EATCS, 2000)

Theory of Genetic Algorithms. - Thomas Bäck; Jeannette M. de Graaf; Joost N. Kok; Walter A. Kosters (Current Trends in Theoretical Computer Science, 2001)

Natural Data Mining Techniques. - Joost N. Kok; Walter A. Kosters (Current Trends in Theoretical Computer Science, 2001)

Nonmetric Multidimensional Scaling with Neural Networks. - Michiel C. van Wezel; Walter A. Kosters; Peter van der Putten; Joost N. Kok (IDA, 2001)

Interesting Fuzzy Association Rules in Quantitative Databases. - Jeannette M. de Graaf; Walter A. Kosters; Jeroen J. W. Witteman (PKDD, 2001)

Apriori, A Depth First Implementation. - Walter A. Kosters; Wim Pijls (FIMI, 2003)

Complexity Analysis of Depth First and FP-Growth Implementations of APRIORI. - Walter A. Kosters; Wim Pijls; Viara Popova (MLDM, 2003)

Detecting and Pruning Introns for Faster Decision Tree Evolution. - Jeroen Eggermont; Joost N. Kok; Walter A. Kosters (PPSN, 2004)

Genetic Programming for data classification: partitioning the search space. - Jeroen Eggermont; Joost N. Kok; Walter A. Kosters (SAC, 2004)

Nonmetric multidimensional scaling: Neural networks versus traditional techniques. - Michiel C. van Wezel; Walter A. Kosters (Intell. Data Anal., 2004)

Tetris is hard, even to approximate. - Ron Breukelaar; Erik D. Demaine; Susan Hohenberger; Hendrik Jan Hoogeboom; Walter A. Kosters; David Liben-Nowell (Int. J. Comput. Geom. Appl., 2004)

How to Construct Tetris Configurations. - Hendrik Jan Hoogeboom; Walter A. Kosters (Int. J. Intell. Games Simul., 2004)

Tetris and decidability. - Hendrik Jan Hoogeboom; Walter A. Kosters (Inf. Process. Lett., 2004)

Neural Networks for Discrete Tomography. - Kees Joost Batenburg; Walter A. Kosters (BNAIC, 2005)

Efficient Feature Detection for Sequence Classification in a Receptor Database. - Edgar H. de Graaf; Walter A. Kosters (BNAIC, 2005)

Frequent Itemsets for Genomic Profiling. - Jeannette M. de Graaf; Renée X. de Menezes; Judith M. Boer; Walter A. Kosters (CompLife, 2005)

Data Mining Approaches to Criminal Career Analysis. - Jeroen S. de Bruin; Tim K. Cocx; Walter A. Kosters; Jeroen F. J. Laros; Joost N. Kok (ICDM, 2006)

A Distance Measure for Determining Similarity Between Criminal Investigations. - Tim K. Cocx; Walter A. Kosters (ICDM, 2006)

A Neural Network Approach to Real-Time Discrete Tomography. - Kees Joost Batenburg; Walter A. Kosters (IWCIA, 2006)

Consecutive Support: Better Be Close! - Edgar H. de Graaf; Jeannette M. de Graaf; Walter A. Kosters (CoRR, 2006)

Clustering Improves the Exploration of Graph Mining Results. - Edgar H. de Graaf; Joost N. Kok; Walter A. Kosters (AIAI, 2007)

On Affect and Self-adaptation: Potential Benefits of Valence-Controlled Action-Selection. - Joost Broekens; Walter A. Kosters; Fons J. Verbeek (IWINAC (1), 2007)

Visualization and Grouping of Graph Patterns in Molecular Databases. - Edgar H. de Graaf; Walter A. Kosters; Joost N. Kok; Jeroen Kazius (SGAI Conf., 2007)

Metrics for Mining Multisets. - Walter A. Kosters; Jeroen F. J. Laros (SGAI Conf., 2007)

Affect, Anticipation, and Adaptation: Affect-Controlled Selection of Anticipatory Simulation in Artificial Adaptive Agents. - Joost Broekens; Walter A. Kosters; Fons J. Verbeek (Adapt. Behav., 2007)

An efficient, versatile and scalable pattern growth approach to mine frequent patterns in unaligned protein sequences. - Kai Ye 001; Walter A. Kosters; Adriaan P. IJzerman (Bioinform., 2007)

Clustering Co-occurrence of Maximal Frequent Patterns in Streams - Edgar H. de Graaf; Joost N. Kok; Walter A. Kosters (CoRR, 2007)

Clustering with Lattices in the Analysis of Graph Patterns - Edgar H. de Graaf; Joost N. Kok; Walter A. Kosters (CoRR, 2007)

Mining Patterns with a Balanced Interval - Edgar H. de Graaf; Joost N. Kok; Walter A. Kosters (CoRR, 2007)

Temporal Extrapolation within a Static Clustering. - Tim K. Cocx; Walter A. Kosters; Jeroen F. J. Laros (ISMIS, 2008)

A Reasoning Framework for Solving Nonograms. - Kees Joost Batenburg; Walter A. Kosters (IWCIA, 2008)

An Early Warning System for the Prediction of Criminal Careers. - Tim K. Cocx; Walter A. Kosters; Jeroen F. J. Laros (MICAI, 2008)

Integrating computer games in speech therapy for children who stutter. - Daniil Umanski; Walter A. Kosters; Fons J. Verbeek; Niels O. Schiller (WOCCI, 2008)

Formal models of appraisal: Theory, specification, and computational model. - Joost Broekens; Doug DeGroot; Walter A. Kosters (Cogn. Syst. Res., 2008)

Selection of DNA Markers. - Hendrik Jan Hoogeboom; Walter A. Kosters; Jeroen F. J. Laros (IEEE Trans. Syst. Man Cybern. Part C, 2008)

Solving Nonograms by combining relaxations. - Kees Joost Batenburg; Walter A. Kosters (Pattern Recognit., 2009)

Tactical Analysis Modeling through Data Mining - Pattern Discovery in Racket Sports. - Antonio Terroba Acha; Walter A. Kosters; Jonathan K. Vis (KDIR, 2010)

Determining the diameter of small world networks. - Frank W. Takes; Walter A. Kosters (CIKM, 2011)

The Difficulty of Path Traversal in Information Networks. - Frank W. Takes; Walter A. Kosters (KDIR, 2012)

On the Difficulty of Nonograms. - Kees Joost Batenburg; Walter A. Kosters (J. Int. Comput. Games Assoc., 2012)

Mining User-Generated Path Traversal Patterns in an Information Network. - Frank W. Takes; Walter A. Kosters (Web Intelligence, 2013)

Computing the Eccentricity Distribution of Large Graphs. - Frank W. Takes; Walter A. Kosters (Algorithms, 2013)

Finding Optimal Strategies in tennis from Video Sequences. - Antonio Terroba Acha; Walter A. Kosters; Javier Varona; Cristina Manresa-Yee (Int. J. Pattern Recognit. Artif. Intell., 2013)

On the Solvability of the Six Degrees of Kevin Bacon Game - A Faster Graph Diameter and Radius Computation Method. - Michele Borassi; Pierluigi Crescenzi; Michel Habib; Walter A. Kosters; Andrea Marino 001; Frank W. Takes (FUN, 2014)

Record Linkage Using Graph Consistency. - Marijn Schraagen; Walter A. Kosters (MLDM, 2014)

Fast Diameter Computation of Large Sparse Graphs Using GPUs. - Giso H. Dal; Walter A. Kosters; Frank W. Takes (PDP, 2014)

Adaptive Landmark Selection Strategies for Fast Shortest Path Computation in Large Real-World Graphs. - Frank W. Takes; Walter A. Kosters (WI-IAT (2), 2014)

Acyclic Constraint Logic and Games. - Hendrik Jan Hoogeboom; Walter A. Kosters; Jan N. van Rijn; Jonathan K. Vis (J. Int. Comput. Games Assoc., 2014)

The 18th Computer Olympiad 2015. - H. Jaap van den Herik; Walter A. Kosters; Aske Plaat; Johanna Hellemons (J. Int. Comput. Games Assoc., 2015)

Fast diameter and radius BFS-based computation in (weakly connected) real-world graphs: With an application to the six degrees of separation games. - Michele Borassi; Pierluigi Crescenzi; Michel Habib; Walter A. Kosters; Andrea Marino 001; Frank W. Takes (Theor. Comput. Sci., 2015)

Mobile Radio Tomography: Agent-Based Imaging. - Kees Joost Batenburg; Leon S. Helwerda; Walter A. Kosters; Tim van der Meij (BNCAI, 2016)

Aspects of the Cooperative Card Game Hanabi. - Mark J. H. van den Bergh; Anne Hommelberg; Walter A. Kosters; Flora M. Spieksma (BNCAI, 2016)

Recent Advances in Computer Games. - H. Jaap van den Herik; Walter A. Kosters; Aske Plaat (Theor. Comput. Sci., 2016)

Detecting Motifs in Multiplex Corporate Networks. - Frank W. Takes; Walter A. Kosters; Boyd Witte (COMPLEX NETWORKS, 2017)

Counting Multilayer Temporal Motifs in Complex Networks. - Hanjo D. Boekhout; Walter A. Kosters; Frank W. Takes (COMPLEX NETWORKS (1), 2018)

Multiplex network motifs as building blocks of corporate networks. - Frank W. Takes; Walter A. Kosters; Boyd Witte; Eelke M. Heemskerk (Appl. Netw. Sci., 2018)

Player preferences in N-player games. - Luc Edixhoven; Walter A. Kosters (CoRR, 2018)

Model-Based Deep Reinforcement Learning for High-Dimensional Problems, a Survey. - Aske Plaat; Walter A. Kosters; Mike Preuss (CoRR, 2020)

Mako: A Graph-based Pattern Growth Approach to Detect Complex Structural Variants. - Jiadong Lin; Xiaofei Yang 003; Walter A. Kosters; Tun Xu; Yanyan Jia; Songbo Wang; Qihui Zhu; Mallory Ryan; Li Guo 012; Chengsheng Zhang (Genom. Proteom. Bioinform., 2022)

Nim variants. - Mark J. H. van den Bergh; Walter A. Kosters; Flora M. Spieksma (J. Int. Comput. Games Assoc., 2022)

A Boolean algebra for genetic variants. - Jonathan K. Vis; Mark A. Santcroos; Walter A. Kosters; Jeroen F. J. Laros (Bioinform., 2023)

Comparison and benchmark of structural variants detected from long read and long-read assembly. - Jiadong Lin; Peng Jia 004; Songbo Wang; Walter A. Kosters; Kai Ye 001 (Briefings Bioinform., 2023)

High-accuracy model-based reinforcement learning, a survey. - Aske Plaat; Walter A. Kosters; Mike Preuss (Artif. Intell. Rev., 2023)

A Graph-based Approach to Variant Extraction. - Mark A. Santcroos; Walter A. Kosters; Mihai Lefter; Jeroen F. J. Laros; Jonathan K. Vis (CoRR, 2025)