ML Techniques and Text Analysis. - Pieter W. Adriaans (ECML, 1993)

Analysing Binary Associations. - Arno J. Knobbe; Pieter W. Adriaans (KDD, 1996)

The application of genetic algorithms in a career planning environment: CAPTAINS. - Eelco den Heijer; Pieter W. Adriaans (Int. J. Hum. Comput. Interact., 1996)

Data mining. - Pieter Adriaans; Dolf Zantinge (Addison-Wesley-Longman, 1997)

Grammar Induction as Substructural Inductive Logic Programming. - Pieter W. Adriaans; Erik de Haas (Learning Language in Logic, 1999)

Learning from a Substructural Perspective. - Pieter W. Adriaans; Erik de Haas (CoNLL/LLL, 2000)

Towards High Speed Grammar Induction on Large Text Corpora. - Pieter W. Adriaans; Marten Trautwein; Marco Vervoort (SOFSEM, 2000)

AI on the Ocean: the RoboSail Project. - Martijn L. van Aartrijk; Claudio P. Tagliola; Pieter W. Adriaans (ECAI, 2002)

The EMILE 4.1 Grammar Induction Toolbox. - Pieter W. Adriaans; Marco Vervoort (ICGI, 2002)

Grammar Induction and Adaptive Information Disclosure. - Pieter W. Adriaans (EPIA, 2003)

From Knowledge-Based to Skill-Based Systems: Sailing as a Machine Learning Challenge. - Pieter W. Adriaans (PKDD, 2003)

Introduction to the Special Issue on Grammar Induction. - Pieter W. Adriaans; Henning Fernau; Colin de la Higuera; Menno van Zaanen (Grammars, 2004)

Computational Grammar Induction for Linguists. - Pieter W. Adriaans; Menno van Zaanen (Grammars, 2004)

Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving. - Nada Lavrac; Hiroshi Motoda; Tom Fawcett; Robert Holte; Pat Langley; Pieter W. Adriaans (Mach. Learn., 2004)

Designing Workflow Components for e-Science. - Frank Terpstra; Pieter W. Adriaans (e-Science, 2006)

Learning Deterministic DEC Grammars Is Learning Rational Numbers. - Pieter W. Adriaans (ICGI, 2006)

Using MDL for Grammar Induction. - Pieter W. Adriaans; Ceriel J. H. Jacobs (ICGI, 2006)

Grammatical Inference in Practice: A Case Study in the Biomedical Domain. - Sophia Katrenko; Pieter W. Adriaans (ICGI, 2006)

Learning Relations from Biomedical Corpora Using Dependency Trees. - Sophia Katrenko; Pieter W. Adriaans (KDECB, 2006)

Distributed execution of aggregated multi domain workflows using an agent framework. - Zhiming Zhao; Adam Belloum; Cees de Laat; Pieter W. Adriaans; Bob Hertzberger (IEEE SCW, 2007)

Predictive Modeling of fMRI Brain States Using Functional Canonical Correlation Analysis. - Sennay Ghebreab; Arnold W. M. Smeulders; Pieter W. Adriaans (AIME, 2007)

Using Jade agent framework to prototype an e-Science workflow bus. - Zhiming Zhao; Adam Belloum; Cees T. A. M. de Laat; Pieter W. Adriaans; Bob Hertzberger (CCGRID, 2007)

Learning as Data Compression. - Pieter W. Adriaans (CiE, 2007)

WS-VLAM: towards a scalable workflow system on the grid. - Vladimir Korkhov; Dmitry Vasyunin; Adianto Wibisono; Víctor Guevara-Masís; Adam Belloum; Cees de Laat; Pieter W. Adriaans; Louis O. Hertzberger (WORKS@HPDC, 2007)

Towards a Formal Foundation for Aggregating Scientific Workflows. - Frank Terpstra; Zhiming Zhao; Wico Mulder; Pieter W. Adriaans (International Conference on Computational Science (3), 2007)

WS-VLAM: A GT4 Based Workflow Management System. - Adianto Wibisono; Dmitry Vasunin; Vladimir Korkhov; Zhiming Zhao; Adam Belloum; Cees de Laat; Pieter W. Adriaans; Bob Hertzberger (International Conference on Computational Science (3), 2007)

The Power and Perils of MDL. - Pieter W. Adriaans; Paul M. B. Vitányi (ISIT, 2007)

Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression. - Sennay Ghebreab; Arnold W. M. Smeulders; Pieter W. Adriaans (NIPS, 2007)

Semantic Types of Some Generic Relation Arguments: Detection and Evaluation. - Sophia Katrenko; Pieter W. Adriaans (ACL (2), 2008)

A Local Alignment Kernel in the Context of NLP. - Sophia Katrenko; Pieter W. Adriaans (COLING, 2008)

Collaborative Learning Agents Supporting Service Network Management. - Wico Mulder; Geleyn R. Meijer; Pieter W. Adriaans (SOCASE, 2008)

Structuring Mined Knowledge for the Support of Hypothesis Generation in Molecular Biology. - Marco Roos; M. Scott Marshall; Andrew P. Gibson; Pieter W. Adriaans (SWAT4LS, 2008)

Structuring and extracting knowledge for the support of hypothesis generation in molecular biology. - Marco Roos; M. Scott Marshall; Andrew P. Gibson; Martijn J. Schuemie; Edgar Meij; Sophia Katrenko; Willem Robert van Hage; Konstantinos Krommydas; Pieter W. Adriaans (BMC Bioinform., 2009)

Between Order and Chaos: The Quest for Meaningful Information. - Pieter W. Adriaans (Theory Comput. Syst., 2009)

Approximation of the Two-Part MDL Code. - Pieter W. Adriaans; Paul M. B. Vitányi (IEEE Trans. Inf. Theory, 2009)

MDL in the Limit. - Pieter W. Adriaans; Wico Mulder (ICGI, 2010)

Using Grammar Induction to Model Adaptive Behavior of Networks of Collaborative Agents. - Wico Mulder; Pieter W. Adriaans (ICGI, 2010)

Using Local Alignments for Relation Recognition. - Sophia Katrenko; Pieter W. Adriaans; Maarten van Someren (J. Artif. Intell. Res., 2010)

Semantic Disclosure in an e-Science Environment. - M. Scott Marshall; Marco Roos; Edgar Meij; Sophia Katrenko; Willem Robert van Hage; Pieter W. Adriaans (Semantic e-Science, 2010)

Facticity as the amount of self-descriptive information in a data set - Pieter Adriaans (CoRR, 2012)

A Safe Approximation for Kolmogorov Complexity. - Peter Bloem; Francisco Mota; Steven de Rooij; Luis Antunes 002; Pieter Adriaans (ALT, 2014)

Two Problems for Sophistication. - Peter Bloem; Steven de Rooij; Pieter Adriaans (ALT, 2015)

A General Theory of Information and Computation. - Pieter W. Adriaans (CoRR, 2016)

A simple information theoretical proof of the Fueter-Pólya Conjecture. - Pieter W. Adriaans (CoRR, 2018)

Semi-Countable Sets and their Application to Search Problems. - Pieter W. Adriaans (CoRR, 2019)

Subset Sum and the Distribution of Information. - Daan van den Berg; Pieter Adriaans (IJCCI, 2021)

Differential information theory. - Pieter Adriaans (CoRR, 2021)

The Partition Problem, and How The Distribution of Input Bits Affects the Solving Process. - Nikita Sazhinov; Ruben Horn; Pieter Adriaans; Daan van den Berg (IJCCI, 2023)

The Easiest Hard Problem: Now Even Easier. - Ruben Horn; Sarah L. Thomson; Daan van den Berg; Pieter Adriaans (GECCO Companion, 2024)

Fractal Analysis of the Subset-Sum Problem. - Ruben Horn; Daan van den Berg; Pieter Adriaans (IJCCI, 2024)