Determining the Validity of Clustering for Data Fusion. - Kate A. Smith; Sheldon Chuan; Peter van der Putten (HIS, 2001)

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

Why the Information Explosion Can Be Bad for Data Mining, and How Data Fusion Provides a Way Out. - Peter van der Putten; Joost N. Kok; Amar Gupta (SDM, 2002)

A Bias-Variance Analysis of a Real World Learning Problem: The CoIL Challenge 2000. - Peter van der Putten; Maarten van Someren (Mach. Learn., 2004)

A Comprehensive Benchmark of the Artificial Immune Recognition System (AIRS). - Lingjun Meng; Peter van der Putten; Haiyang Wang (ADMA, 2005)

Benchmarking Artificial Immune Systems. - Peter van der Putten; Lingjun Meng (BNAIC, 2005)

Detecting Virulent Cells of Cryptococcus Neoformans Yeast: Clustering Experiments. - Jinshuo Liu; Peter van der Putten; Ferry Hagen; Xinmeng Chen; Teun Boekhout (ICPR (1), 2006)

DTMC: an actionable e-customer lifetime value model based on markov chains and decision trees. - Peter Paauwe; Peter van der Putten; Michiel C. van Wezel (ICEC, 2007)

The Impact of Experimental Setup on Prepaid Churn Modeling: Data, Population and Outcome Definition. - Dejan Radosavljevik; Peter van der Putten; Kim Kyllesbech Larsen (ICDM (Workshops), 2010)

Multi-level visual alphabets. - Menno Israël; Jetske van der Schaar; Egon L. van den Broek; Marten den Uyl; Peter van der Putten (IPTA, 2010)

The Impact of Experimental Setup in Prepaid Churn Prediction for Mobile Telecommunications: What to Predict, for Whom and Does the Customer Experience Matter? - Dejan Radosavljevik; Peter van der Putten; Kim Kyllesbech Larsen (Trans. Mach. Learn. Data Min., 2010)

Using Data Fusion to Enrich Customer Databases with Survey Data for Database Marketing. - Peter van der Putten; Joost N. Kok (Marketing Intelligent Systems Using Soft Computing, 2010)

Mass Scale Modeling and Simulation of the Air-Interface Load in 3G Radio Access Networks. - Dejan Radosavljevik; Peter van der Putten; Kim Kyllesbech Larsen (IDA, 2012)

Tinkering in Scientific Education. - Maarten H. Lamers; Fons J. Verbeek; Peter W. H. van der Putten (Advances in Computer Entertainment, 2013)

An Analysis of Machine Learning Algorithms for Condensing Reverse Engineered Class Diagrams. - Mohd Hafeez Osman; Michel R. V. Chaudron; Peter van der Putten (ICSM, 2013)

Preventing Churn in Telecommunications: The Forgotten Network. - Dejan Radosavljevik; Peter van der Putten (IDA, 2013)

Interactive Scalable Abstraction of Reverse Engineered UML Class Diagrams. - Mohd Hafeez Osman; Michel R. V. Chaudron; Peter van der Putten (APSEC (1), 2014)

Large scale predictive modeling for micro-simulation of 3G air interface load. - Dejan Radosavljevik; Peter van der Putten (KDD, 2014)

Does Feature Selection Improve Classification? A Large Scale Experiment in OpenML. - Martijn J. Post; Peter van der Putten; Jan N. van Rijn (IDA, 2016)

On the Impact of Data Set Size in Transfer Learning Using Deep Neural Networks. - Deepak Soekhoe; Peter van der Putten; Aske Plaat (IDA, 2016)

The Morality Machine: Tracking Moral Values in Tweets. - Livia Teernstra; Peter van der Putten; Liesbeth Noordegraaf-Eelens; Fons J. Verbeek (IDA, 2016)

Do Warriors, Villagers and Scientists Decide Differently? The Impact of Role on Message Framing. - J. Siebelink; Peter van der Putten; Maurits Clemens Kaptein (INTETAIN, 2016)

Assessing Augmented Creativity: Putting a Lovelace Machine for Interactive Title Generation Through a Human Creativity Test. - Yasser S. Arenas Rebolledo; Peter van der Putten; Maarten H. Lamers (EvoMUSART, 2017)

Exploring the Exactitudes Portrait Series with Restricted Boltzmann Machines. - Sam D. Verkoelen; Maarten H. Lamers; Peter van der Putten (EvoMUSART, 2017)

Real-Time Excavation Detection at Construction Sites using Deep Learning. - Bas van Boven; Peter van der Putten; Anders Åström; Hakim Khalafi; Aske Plaat (IDA, 2018)

Don't Rule Out Simple Models Prematurely: A Large Scale Benchmark Comparing Linear and Non-linear Classifiers in OpenML. - Benjamin Strang; Peter van der Putten; Jan N. van Rijn; Frank Hutter (IDA, 2018)

Towards Automated Grading of UML Class Diagrams with Machine Learning. - Dave R. Stikkolorum; Peter van der Putten; Caroline Sperandio; Michel Chaudron (BNAIC/BENELEARN, 2019)

Spot What Matters: Learning Context Using Graph Convolutional Networks for Weakly-Supervised Action Detection. - Michail Tsiaousis; Gertjan J. Burghouts; Fieke Hillerström; Peter van der Putten (ICPR Workshops (4), 2020)

How Identity and Uncertainty Affect Online Social Influence - An Agent-Based Approach. - Christina Mason; Peter van der Putten; Max J. van Duijn (MISDOOM, 2020)

Sign and Search: Sign Search Functionality for Sign Language Lexica. - Manolis Fragkiadakis; Peter van der Putten (AT4SSL@MTSummit, 2021)

Distinguishing Commercial from Editorial Content in News. - Timo Kats; Peter van der Putten; Jasper Schelling (CoRR, 2021)

Towards a User-Friendly Tool for Automated Sign Annotation: Identification and Annotation of Time Slots, Number of Hands, and Handshape. - Manolis Fragkiadakis; Victoria Nyst; Peter van der Putten (Digit. Humanit. Q., 2021)

Trust Me on This One: Conforming to Conversational Assistants. - Donna Schreuter; Peter van der Putten; Maarten H. Lamers (Minds Mach., 2021)

Redirection Masking Strategies: Understanding Attentional Diversion Methods for Redirection Techniques. - Kasper de Vries; Peter van der Putten (CHI PLAY, 2022)

Tracing Political Positioning of Dutch Newspapers. - Christopher Congleton; Peter van der Putten; Suzan Verberne (MISDOOM, 2022)

The COVMis-Stance dataset: Stance Detection on Twitter for COVID-19 Misinformation. - Yanfang Hou; Peter van der Putten; Suzan Verberne (CoRR, 2022)

Relevance Feedback Strategies for Reducing Review Effort in Recall-Oriented Neural Information Retrieval. - Timo Kats; Peter van der Putten; Jan Scholtes (BNAIC/BENELEARN, 2023)

Theory of Mind in Large Language Models: Examining Performance of 11 State-of-the-Art models vs. Children Aged 7-10 on Advanced Tests. - Max J. van Duijn; Bram van Dijk; Tom Kouwenhoven; Werner de Valk; Marco Spruit; Peter van der Putten (CoNLL, 2023)

ChatGPT as a Commenter to the News: Can LLMs Generate Human-Like Opinions? - Rayden Tseng; Suzan Verberne; Peter van der Putten (MISDOOM, 2023)

Relevance feedback strategies for recall-oriented neural information retrieval. - Timo Kats; Peter van der Putten; Jan Scholtes (CoRR, 2023)

Bonding with a Couchsurfing Robot: The Impact of Common Locus on Human-Robot Bonding In-the-Wild. - Joost Mollen; Peter van der Putten; Kate Darling (ACM Trans. Hum. Robot Interact., 2023)

Algae Alight: Exploring the Potential of Bioluminescence through Bio-kinetic Pixels. - Zoë Breed; Peter van der Putten; Bahareh Barati (Conference on Designing Interactive Systems, 2024)

Providing Domain Knowledge for Process Mining with ReWOO-Based Agents. - Max W. Vogt; Peter van der Putten; Hajo A. Reijers (ICPM Workshops, 2024)

The Impacts of AI Avatar Appearance and Disclosure on User Motivation. - Boele Visser; Peter van der Putten; Amirhossein Zohrehvand (CoRR, 2024)

Extracting patient lifestyle characteristics from Dutch clinical text with BERT models. - Hielke Muizelaar; Marcel R. Haas; Koert van Dortmont; Peter van der Putten; Marco Spruit (BMC Medical Informatics Decis. Mak., 2024)

Correction: Extracting patient lifestyle characteristics from Dutch clinical text with BERT models. - Hielke Muizelaar; Marcel R. Haas; Koert van Dortmont; Peter van der Putten; Marco Spruit (BMC Medical Informatics Decis. Mak., 2024)

Agentic Large Language Models, a survey. - Aske Plaat; Max J. van Duijn; Niki van Stein; Mike Preuss; Peter van der Putten; Kees Joost Batenburg (CoRR, 2025)

Can we Evaluate RAGs with Synthetic Data? - Jonas van Elburg; Peter van der Putten; Maarten Marx (CoRR, 2025)