Peter van der Putten

Scientific Publications

Data mining and creative research

Scientific Publications

Key Publications

Joost Mollen, Peter van der Putten, and Kate Darling. Bonding with a Couchsurfing Robot: The Impact of Common Locus on Human-Robot Bonding In-the-wild. ACM Transactions on Human-Robot Interaction. 12, 1, Article 8, March 2023. [pdf]

Donna Schreuter, Peter van der Putten and Maarten H. Lamers. Trust Me on This One: Conforming to Conversational Assistants. Minds & Machines 31, pp 535–562, 2021.

Benjamin Strang, Peter van der Putten, Jan N. van Rijn and Frank Hutter. Don't Rule Out Simple Models Prematurely: a Large Scale Benchmark Comparing Linear and Non-linear Classifiers in OpenML. In: Seventeenth International Symposium on Intelligent Data Analysis (IDA), 2018. [preprint,code]

Deepak Soekhoe, Peter van der Putten and Aske Plaat. On the Impact of Data Set Size in Transfer Learning using Deep Neural Networks. In: Fifteenth International Symposium on Intelligent Data Analysis (IDA), 2016 [preprint]

Maarten Lamers, Fons Verbeek and Peter van der Putten. Tinkering in Scientific Education. In: Proceedings 10th International Conference on Advances in Computer Entertainment (ACE 2013) no. Lecture Notes in Computer Science: Springer-Verlag. pp 568-571.

Peter van der Putten and Maarten van Someren. A Bias-Variance Analysis of a Real World Learning Problem: The CoIL Challenge 2000. Machine Learning, October 2004, vol. 57, iss. 1-2, pp. 177-195, Kluwer Academic Publishers.

Joost N. Kok, Egbert J. W. Boers, Walter A. Kosters, and Peter van der Putten. Artificial Intelligence: Definition, Trends, Techniques. In Knowledge for Sustainable Development: an Insight into the Encyclopedia of Life Support Systems. Volume 1, pp 1095-1107, UNESCO Publishing-EOLSS Publishers, Oxford, UK, 2002

Publications by year

2023

Max J. van Duijn, Bram M. A. van Dijk, Tom Kouwenhoven, Werner de Valk, Marco R. Spruit and Peter van der Putten. Theory of Mind in Large Language Models: Examining Performance of 11 State-of-the-Art models vs. Children Aged 7-10 on Advanced Tests. CoNLL 2023, Singapore, December 6-7, 2023. [arxiv preprint]

Timo Kats, Peter van der Putten and Jan Scholtes. Relevance feedback strategies for recall-oriented neural information retrieval. Preproceedings BNAIC 2023, Delft, November 8-10, 2023

Rayden Tseng, Suzan Verberne and Peter van der Putten. ChatGPT as a commenter to the news: can LLMs generate human-like opinions? MISDOOM 2023, November 21-22, Amterdam, the Netherlands, pp 160-174. [preprint]

Hielke Muizelaar, Peter van der Putten & Marco Spruit. Dutch BERT models for classifying lifestyle characteristics in clinical texts. The 33rd Meeting of Computational Linguistics in The Netherlands (CLIN 33), Antwerp, Belgium 22 September 2023.

Max van Duijn, Werner de Valk, Bram van Dijk and Peter van der Putten. Theory of Mind: Children aged 5-12 vs. a Large Language Model (GPT3). Abstract, Annual Conference for the European Human Behaviour and Evolution Association (EHBEA 2023). 18th-21st April 2023, University College London. [preprint]

Maarten Lamers and Peter van der Putten. Helpless by Design: Helplessness as a Feature. The Imperfectly Relatable Robot (ImpRR23): An interdisciplinary workshop on the role of failure in HRI. Workshop at HRI 2023.

2022

Kasper de Vries and Peter van der Putten. Redirection Masking Strategies: Understanding Attentional Diversion Methods for Redirection Techniques. In Extended Abstracts of the 2022 Annual Symposium on Computer-Human Interaction in Play (CHI PLAY '22). Association for Computing Machinery, New York, NY, USA, 209–214.

Chris Congleton, Peter van der Putten, and Suzan Verberne. Tracing Political Positioning of Dutch Newspapers. In: Spezzano, F., Amaral, A., Ceolin, D., Fazio, L., Serra, E. (eds) Disinformation in Open Online Media. MISDOOM 2022. Lecture Notes in Computer Science, vol 13545 . Springer, Cham.

Yanfang Hou, Peter van der Putten, Suzan Verberne. The COVMis-Stance dataset: Stance Detection on Twitter for COVID-19 Misinformation. arXiv preprint arXiv:2204.02000. April 5, 2022.

2021

Donna Schreuter, Peter van der Putten and Maarten H. Lamers. Trust Me on This One: Conforming to Conversational Assistants. Minds & Machines 31, pp 535–562, 2021 [SharedIt].

Stijn Kas, Ivar Siccama, Peter van der Putten, Georg Krempl, Ruben Post, Sebastiaan Wiewel and Hajo Reijer. Towards Best Practices for Online Predictive Process Monitoring. 2nd International Workshop on Streaming Analytics for Process Mining (SA4PM 2021), (work in progress pitch). Nov 1, 2021.

Timo Kats, Peter van der Putten and Jasper Schelling. Distinguishing Commercial from Editorial Content in News. Preproceedings BNAIC/Benelearn 2021, Luxembourg, November 10-12, 2021 [code], [arxiv preprint].

Manolis Fragkiadakis and Peter van der Putten. Sign and Search: Sign Search Functionality for Sign Language Lexica. 1st International Workshop on Automatic Translation for Signed and Spoken Languages (ATS4SSL), August 20, 2021 [arxiv preprint]

Manolis Fragkiadakis, Victoria Nyst and Peter van der Putten. Towards a User-Friendly Tool for Automated Sign Annotation: Identification and Annotation of Time Slots, Number of Hands, and Handshape. Digital Humanities Quarterly, Volume 15 Number 1, 2021.

Michiel Siebelt, Dirk Das, Amber Van Den Moosdijk, Tristan Warren, Peter van der Putten and Walter van der Weegen. Machine learning algorithms trained with pre-hospital acquired history-taking data can accurately differentiate diagnoses in patients with hip complaints. Acta Orthopaedica, 2021.

Michail Tsiaousis, Gertjan Burghouts, Fieke Hillerstrom and Peter van der Putten. Spot What Matters: Learning Context Using Graph Convolutional Networks for Weakly-Supervised Action Detection. International Workshop on Deep Learning for Human-Centric Activity Understanding (DL-HAU2020). Milan, January 11, 2021. [arxiv preprint], [code].

2020

Christina Mason, Peter van der Putten, and Max van Duijn. How Identity and Uncertainty Affect Online Social Influence: An Agent-Based Approach. Proceedings MISDOOM 2020, Leiden, Oct 26-27 2020, pp 174-190. [video]

Jasper Schelling, Noortje van Eekelen, IJsbrand van Veelen, Maarten van Hees and Peter van der Putten. Bursting the Bubble. Extended abstract, MISDOOM 2020, Leiden, Oct 26-27 2020, pp 72. [video]

Manolis Fragkiadakis, Victoria Nyst and Peter van der Putten. Signing as Input for a Dictionary Query: Matching Signs Based on Joint Positions of the Dominant Hand. Proceedings of the 9th LREC2020 Workshop on the Representation and Processing of Sign Language, Marseille, 11-16 May 2020, pp 69-74.

2019

Dave Stikkolorum, Peter van der Putten, Caroline Sperandio and Michel Chaudron. Towards Automated Grading of UML Class Diagrams with Machine Learning. Benelearn 2019: Proceedings of the 28th Annual Belgian Dutch Conference on Machine Learning. Brussels, Nov 6-8, 2019, pp 69-74.

2018

Maarten van Hees, Peter van der Putten and Maarten H. Lamers. Disciples of the Heinous Path: Exploring Label Structure in Heavy Metal Genres. Benelearn 2018: Proceedings of the 27th Annual Belgian Dutch Conference on Machine Learning. 's-Hertogenbosch, November 8-9, 2018.

Bas van Boven, Peter van der Putten, Anders Astrom, Hakim Khalafi and Aske Plaat. Real Time Excavation Detection at Construction Sites using Deep Learning. In: Seventeenth International Symposium on Intelligent Data Analysis (IDA), 2018 [preprint]

2017

Dejan Radosavljevik and Peter van der Putten. Service Revenue Forecasting in Telecommunications: A Data Science Approach. Benelearn 2017: Proceedings of the Twenty-Sixth Benelux Conference on Machine Learning. Eindhoven, June 9-10, 2017, pp 187-189

Wouter Duivesteijn, Mykola Pechenizkiy, George Fletcher, Vlado Menkovski, Eric Postma, Joaquin Vanschoren, and Peter van der Putten (eds). Benelearn 2017: Proceedings of the Twenty-Sixth Benelux Conference on Machine Learning. Eindhoven, June 9-10, 2017.

Yasser S. Arenas Rebolledo, Peter van der Putten and Maarten H. Lamers. Assessing Augmented Creativity: Putting a Lovelace Machine for Interactive Title Generation Through a Human Creativity Test. EvoMUSART 2017, pp 262-274.

Sam D. Verkoelen, Maarten H. Lamers, Peter van der Putten. Exploring the Exactitudes Portrait Series with Restricted Boltzmann Machines. EvoMUSART 2017, pp 321-337 []preprint]

2016

Jorrit Siebelink, Peter van der Putten and Maurits C. Kaptein. Do Warriors, Villagers and Scientists Decide Differently? The Impact of Role on Message Framing. In: 8th International Conference on Intelligent Technologies for Interactive Entertainment (INTETAIN), 2016. Best paper award. []preprint]

Martijn J. Post, Peter van der Putten and Jan N. van Rijn. Does Feature Selection Improve Classification? A Large Scale Experiment in OpenML. In: Fifteenth International Symposium on Intelligent Data Analysis (IDA), 2016 []preprint]

Livia Teernstra, Peter van der Putten, Liesbeth Noordegraaf-Eelens and Fons Verbeek. The Morality Machine: Tracking Moral Values in Tweets. In: Fifteenth International Symposium on Intelligent Data Analysis (IDA), 2016

2014

Maarten H. Lamers Peter van der Putten Putten and Fons J Verbeek. Observations on Tinkering in Scientific Education. In: Cheok A.D., Nijholt A., Romão T. (Eds.) Entertaining the Whole World Human-Computer Interaction Series. London: Springer-Verlag. 137-145, 2014.

Hafeez Osman, Michel R.V. Chaudron and Peter van der Putten (2014). Interactive Scalable Abstraction of Reverse Engineered UML Class Diagrams. In Proceedings of the 21st Asia-Pacific Software Engineering Conference (APSEC 2014), Jeju, Korea, 2014

Hafeez Osman, Michel R.V. Chaudron, Peter van der Putten and Truong Ho-Quang (2014). Condensing Reverse Engineered Class Diagrams through Class Name Based Abstraction. In Proceedings of the 2014 World Congress on Information and Communication Technologies (WICT), Malacca, Malaysia, 2014.

Dejan Radosavljevik and Peter van der Putten. Large Scale Predictive Modeling for Micro-Simulation of 3G Air Interface Load. In: Proceedings 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2014), New York, August 2014, pp 1620-1629. []video.]

Hui Li, Peter van der Putten and Maarten Keijzer. Improving Preference Based Modeling By Capturing Correlations Among Features. Benelearn 2014: Proceedings of the 23rd Annual Belgian Dutch Conference on Machine Learning. Brussels, June 6, 2014, p 6.

Hafeez Osman, M.R.V. Chaudron, and Peter van der Putten. Condensing reverse engineered class diagram using text mining. LIACS Technical Report 2014-02, 2014.

2013

Dejan Radosavljevik and Peter van der Putten. Preventing Churn in Telecommunications: The Forgotten Network. In: Proceedings Advances in Intelligent Data Analysis XII - 12th International Symposium, IDA 2013 no. Lecture Notes in Computer Science. pp 357-368.

Palupi Kusuma, Dejan Radosavljevik, Frank Takes and Peter van der Putten. Combining Customer Attribute and Social Network Mining for Prepaid Mobile Churn Prediction. Benelearn 2013: Proceedings of the 23nd Annual Belgian Dutch Conference on Machine Learning. Nijmegen, June 3, 2013, pp 50-58.

Hafeez Osman, Michel R.V. Chaudron and Peter van der Putten. An Analysis of Machine Learning Algorithms for Condensing Reverse Engineered Class Diagrams. In: Proceedings 2013 IEEE International Conference on Software Maintenance (ICSM). 140-149.

Hui Li, Peter van der Putten and Maarten Keijzer. Recommending Products using Preference Based Modeling. Benelearn 2013: Proceedings of the 22nd Annual Belgian Dutch Conference on Machine Learning. Nijmegen, June 3, 2013, pp 59-67.

2012

Dejan Radosavljevik, Peter van der Putten and Kim Kyllesbech Larsen. Mass Scale Modeling and Simulation of the Air-Interface Load in 3G Radio Access Networks. In: Proceedings The Eleventh International Symposium on Intelligent Data Analysis (IDA 2012), Helsinki, 25-27 October 2012, pp 301-312.

Gert-Jan Den Heijer, Peter van der Putten, Erica Benard, Annemarie Meijer and Fons Verbeek. Explorations in Texture Based Classification for Bacterial Infection in Zebrafish. Benelearn 2012, Gent, May 24-25 2012, pp 13-18.

Hafeez Osman, Michel Chaudron and Peter van der Putten. Classifying Presence of Classes in UML Design using Software Metrics. Benelearn 2012, Gent, May 24-25 2012, p 76.

2011

Peter van der Putten, Cor Veenman, Joaquin Vanschoren, Menno Israel and Hendrik Blockeel (eds). Benelearn 2011: Proceedings of the 20th Annual Belgian Dutch Conference on Machine Learning. The Hague, May 20, 2011.

Adrian M. Kentsch, Walter A. Kosters, Peter van der Putten and Frank W. Takes. Exploratory Recommendations Using Wikipedia’s Linking Structure. Benelearn 2011, The Hague, May 20 2011, pp 61-68.

Dejan Radosavljevik, Peter van der Putten and Kim Kyllesbech Larsen. Customer Satisfaction and Network Experience in Mobile Telecommunications Benelearn 2011, The Hague, May 20 2011, pp 91-92.

2010

Dejan Radosavljevik, Peter van der Putten and Kim Kyllesbech Larsen. The Impact of Experimental Setup in Prepaid Churn Prediction for Mobile Telecommunications: What to Predict, for Whom and Does the Customer Experience Matter? Transactions on Machine Learning and Data Mining, Volume 3, Number 2, October 2010, pp 80-99.

Peter van der Putten and Joost N. Kok. Using Data Fusion to Enrich Customer Databases with Survey Data for Database Marketing. In Jorge Casillas and Francisco José Martínez López (Eds.). Marketing Intelligent Systems Using Soft Computing. Springer Series Studies in Fuzziness and Soft Computing, Vol. 258. 1st Edition.September 2010.

Peter van der Putten. Data Fusion for Direct Marketing. Joint Meeting GfKl - CLADAG 2010. Florence, 8 - 10 September 2010.

Dejan Radosavljevik, Peter van der Putten and Kim Kyllesbech Larsen. The Impact of Experimental Setup on Prepaid Churn Modeling: Data, Population and Outcome Definition. Workshop on Data Mining in Marketing (DMM 2010). Berlin, Germany, July 14, 2010.

Menno Israel, Jetske van der Schaar, Egon L. van den Broek, Marten den Uyl and Peter van der Putten. Multi-Level Visual Alphabets. Proceedings International Conference on Image Processing Theory, Tools and Applications (IPTA 2010). Paris France, July 7-10, 2010.

Peter van der Putten. On Data Mining in Context: Cases, Fusion and Evaluation. PhD Thesis, Leiden Institute of Advanced Computer Science (LIACS), Leiden University. January 19, 2010.

2009

Peter van der Putten, Gabor Melli and Brendan Kitts (eds). Proceedings of the Third International Workshop on Data Mining Case Studies (DMCS 2009). Held at the Fifteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2009), Paris France, June 2009.

2008

Peter van der Putten, Joost N. Kok and Ling Jun Meng.Profiling Novel Classification Algorithms: Artifical Immune Systems. In Proceedings 7th IEEE International Conference on Cybernetic Intelligent Systems 2008 (CIS2008), London, United Kingdom

2007

Peter Paauwe, Peter van der Putten and Michiel van Wezel DTMC: An Actionable e-Customer Lifetime Value Model Based on Markov Chains and Decision Trees. Proceedings of the 9th International Conference on Electronic Commerce: The Wireless World of Electronic Commerce, 2007, University of Minnesota, Minneapolis, MN, USA, August 19-22, 2007. ACM International Conference Proceeding Series 258 ACM 2007

Peter van der Putten, Laura Bertens, Jinshuo Liu, Ferry Hagen, Teun Boekhout and Fons J. Verbeek. Classification of Yeast Cells from Image Features to Evaluate Pathogen Conditions. Multimedia Content Access: Algorithms and Systems (EI121), IS&T/SPIE International Symposium on Electronic Imaging, 28 January - 1 February 2007, San Jose, California, USA.

Menno Israel, Egon L. van den Broek, Peter van der Putten and Marten J. den Uyl. Visual Alphabets: Video Classification by End Users. In: V.A. Petrushin and L. Khan (eds). Multimedia Data Mining and Knowledge Discovery. 1st edition, Springer Verlag, 2007.

2006

Peter van der Putten, Arnold Koudijs and Rob Walker. A Decision Management Approach to Basel II Compliant Credit Risk Management. Workshop Data Mining for Business Applications (DMBA'06), August 20, 2006, Philadelphia, Pennsylvania, USA.

Jinshuo Liu, Peter van der Putten, Ferry Hagen, Xinmeng Chen, Teun Boekhout and Fons J. Verbeek. Detecting Virulent Cells of Cryptococcus Neoformans Yeast: Clustering Experiments. The 18th International Conference on Pattern Recognition ICPR-2006, Hong Kong, August 20-24 2006.

2005

Peter van der Putten and Joost N. Kok. Data mining and knowledge discovery. In: R.J. Baatenburg de Jong (ed), Prognosis in Head and Neck Cancer, Taylor and Francis, 2005.

Peter van der Putten and Ling Jun Meng. Benchmarking the AIRS Artificial Immune System for Classification. The 17th Belgian-Dutch Conference on Artificial Intelligence (BNAIC'05), Brussels, Belgium, October 2005.

Ling Jun Meng, Peter van der Putten and Haiyang Wang A Comprehensive Benchmark of the Artificial Immune Recognition System (AIRS). In proceedings Advanced Data Mining and Applications, First International Conference, ADMA 2005, Wuhan, China, July 22-24, 2005, Xue Li, Shuliang Wang, Zhao Yang Dong (Eds.), 2005, pp. 575-582.

2004

Menno Israel, Egon van den Broek, Peter van der Putten and Marten den Uyl. Real time automatic scene classification. In R. Verbrugge, N. Taatgen, and L.R.B. Schomaker (Eds.), Proceedings of the Sixteenth Belgium-Netherlands Artificial Intelligence Conference (BNAIC) 2004 , p. 401-402. October 21-22, Groningen - The Netherlands.

Menno Israel, Egon van den Broek, Peter van der Putten and Marten den Uyl. Automating the Construction of Scene Classifiers for Content-Based Video Retrieval. MDM/KDD'04, August 22, 2004, Seattle, WA, USA.

Peter van der Putten, Arnold Koudijs and Rob Walker. Basel II Compliant Credit Risk Management: the OMEGA Case. 2nd EUNITE Workshop on Smart Adaptive Systems in Finance: Intelligent Risk Analysis and Management. Rotterdam, The Netherlands, May 19, 2004.

2002

Peter van der Putten, Martijn Ramaekers, Marten den Uyl and Joost N. Kok. A Process Model for a Data Fusion Factory. Proceedings 12th Belgian-Dutch Artificial Intelligence Conference BNAIC'2002, Leuven, Belgium, October 21-22, 2002.

Peter van der Putten, Joost N. Kok and Amar Gupta. Why the Information Explosion Can Be Bad for Data Mining, and How Data Fusion Provides a Way Out. Second SIAM International Conference on Data Mining, Arlington, April 11-13, 2002.

Peter van der Putten, Joost N. Kok and Amar Gupta. Data Fusion through Statistical Matching. MIT Sloan School of Management Working Paper No. 4342-02, Cambridge, MA, 2002.

2001

K.A. Smith, S. Chuan and P. van der Putten. Determining the validity of clustering for data fusion, International Workshop on Hybrid Intelligent Systems, 11 - 12 December 2001, Adelaide, Australia.

Michiel C. van Wezel, Walter A. Kosters, Peter van der Putten and Joost N. Kok, Nonmetric Multidimensional Scaling with Neural Networks, IDA 2001 (Advances in Intelligent Data Analysis), The Fourth International Conference, Cascais, Portugal, September 13/15, 2001 (Proceedings, pp. 145-155; Springer Lecture Notes in Computer Science 2189; editors: F. Hoffmann, D.J. Hand, N. Adams, D. Fisher and G. Guimaraes).

2000

Peter van der Putten. Data Fusion: A Way to Provide More Data to Mine in?, Proceedings 12th Belgian-Dutch Artificial Intelligence. Conference BNAIC'2000, November 2000, De Efteling, Kaatsheuvel, The Netherlands (Best Paper Nomination).

Peter van der Putten and Maarten van Someren (eds) . CoIL Challenge 2000: The Insurance Company Case. Published by Sentient Machine Research, Amsterdam. Also a Leiden Institute of Advanced Computer Science Technical Report 2000-09. June 22, 2000.

Peter van der Putten. Data Fusion for Data Mining: a Problem Statement. Coil Seminar 2000, Chios, Greece, June 22-23, 2000.

1999

Peter van der Putten and M. van Someren (eds). The Benelearn 1999 Competition. SWI, University of Amsterdam, November 2, 1999.

Peter van der Putten. A Datamining Scenario for Stimulating Credit Card Usage by Mining Transaction data.; Proceedings of Benelearn'99, 1999.

Peter van der Putten. Promoting Credit Card Usage by Mining Transaction Data. In: P. Berka (ed.). Workshop notes on Discovery Challenge PKDD-99, Laboratory of Intelligent Systems, University of Economics. Prague, September 1999.

Peter van der Putten. Data Mining in Direct Marketing Databases. In: Walter Baets (ed). Complexity and Management : A Collection of Essays. World Scientific Publishers, Singapore, 1999.

1996

Peter van der Putten. Utilizing the Topology Preserving Property of Self-Organizing Maps for Classification. MSc Thesis, Cognitive Artificial Intelligence, Utrecht University, NL, 1996.

1994

Peter van der Putten. Utilizing the Topology Preserving Property of Self-Organizing Maps: an overview. Unpublished Paper. Dept. of Computer Science, Utrecht University NL, 1994.

Hans van Maaren and Peter van der Putten (eds). Congres Operations Research and Artificial Intelligence. WBBM Delft University and CKI Utrecht University, January 10, 1994.