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ORCIDPeter van der Putten
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- affiliation: Leiden University, Leiden, The Netherlands
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2020 – today
- 2024
[j7]Hielke Muizelaar
, Marcel R. Haas, Koert van Dortmont, Peter van der Putten, Marco Spruit:
Extracting patient lifestyle characteristics from Dutch clinical text with BERT models. BMC Medical Informatics Decis. Mak. 24(1): 151 (2024)- [j6]Hielke Muizelaar, Marcel R. Haas, Koert van Dortmont, Peter van der Putten, Marco Spruit:
Correction: Extracting patient lifestyle characteristics from Dutch clinical text with BERT models. BMC Medical Informatics Decis. Mak. 24(1): 169 (2024) - [c32]Zoë Breed, Peter van der Putten, Bahareh Barati:
Algae Alight: Exploring the Potential of Bioluminescence through Bio-kinetic Pixels. Conference on Designing Interactive Systems 2024 - [i8]Boele Visser, Peter van der Putten, Amirhossein Zohrehvand:
The Impacts of AI Avatar Appearance and Disclosure on User Motivation. CoRR abs/2407.21521 (2024) - 2023
- [j5]Joost Mollen, Peter van der Putten, Kate Darling:
Bonding with a Couchsurfing Robot: The Impact of Common Locus on Human-Robot Bonding In-the-Wild. ACM Trans. Hum. Robot Interact. 12(1): 8:1-8:33 (2023) - [c31]Max J. van Duijn, Bram van Dijk, Tom Kouwenhoven, Werner de Valk, Marco Spruit, 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: 389-402 - [c30]Rayden Tseng, Suzan Verberne, Peter van der Putten:
ChatGPT as a Commenter to the News: Can LLMs Generate Human-Like Opinions? MISDOOM 2023: 160-174 - [i7]Max J. van Duijn, Bram M. A. van Dijk, Tom Kouwenhoven, Werner de Valk, Marco R. Spruit, 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. CoRR abs/2310.20320 (2023) - [i6]Timo Kats, Peter van der Putten, Jan Scholtes:
Relevance feedback strategies for recall-oriented neural information retrieval. CoRR abs/2311.15110 (2023) - [i5]Rayden Tseng, Suzan Verberne, Peter van der Putten:
ChatGPT as a commenter to the news: can LLMs generate human-like opinions? CoRR abs/2312.13961 (2023) - 2022
- [c29]Kasper de Vries, Peter van der Putten:
Redirection Masking Strategies: Understanding Attentional Diversion Methods for Redirection Techniques. CHI PLAY 2022: 209-214 - [c28]Christopher Congleton, Peter van der Putten, Suzan Verberne:
Tracing Political Positioning of Dutch Newspapers. MISDOOM 2022: 27-43 - [i4]Yanfang Hou, Peter van der Putten, Suzan Verberne:
The COVMis-Stance dataset: Stance Detection on Twitter for COVID-19 Misinformation. CoRR abs/2204.02000 (2022) - 2021
- [j4]Manolis Fragkiadakis, Victoria Nyst, Peter van der Putten:
Towards a User-Friendly Tool for Automated Sign Annotation: Identification and Annotation of Time Slots, Number of Hands, and Handshape. Digit. Humanit. Q. 15(1) (2021) - [j3]Donna Schreuter, Peter van der Putten, Maarten H. Lamers:
Trust Me on This One: Conforming to Conversational Assistants. Minds Mach. 31(4): 535-562 (2021) - [c27]Manolis Fragkiadakis, Peter van der Putten:
Sign and Search: Sign Search Functionality for Sign Language Lexica. AT4SSL@MTSummit 2021: 23-32 - [i3]Manolis Fragkiadakis, Peter van der Putten:
Sign and Search: Sign Search Functionality for Sign Language Lexica. CoRR abs/2107.13637 (2021) - [i2]Michail Tsiaousis, Gertjan J. Burghouts, Fieke Hillerström, Peter van der Putten:
Spot What Matters: Learning Context Using Graph Convolutional Networks for Weakly-Supervised Action Detection. CoRR abs/2107.13648 (2021) - [i1]Timo Kats, Peter van der Putten, Jasper Schelling:
Distinguishing Commercial from Editorial Content in News. CoRR abs/2111.03916 (2021) - 2020
- [c26]Michail Tsiaousis, Gertjan J. Burghouts, Fieke Hillerström, Peter van der Putten:
Spot What Matters: Learning Context Using Graph Convolutional Networks for Weakly-Supervised Action Detection. ICPR Workshops (4) 2020: 115-130 - [c25]Christina Mason, Peter van der Putten, Max J. van Duijn:
How Identity and Uncertainty Affect Online Social Influence - An Agent-Based Approach. MISDOOM 2020: 174-190
2010 – 2019
- 2019
- [c24]Dave R. Stikkolorum, Peter van der Putten, Caroline Sperandio, Michel Chaudron:
Towards Automated Grading of UML Class Diagrams with Machine Learning. BNAIC/BENELEARN 2019 - 2018
- [c23]Benjamin Strang, Peter van der Putten, Jan N. van Rijn, Frank Hutter:
Don't Rule Out Simple Models Prematurely: A Large Scale Benchmark Comparing Linear and Non-linear Classifiers in OpenML. IDA 2018: 303-315 - [c22]Bas van Boven, Peter van der Putten, Anders Åström, Hakim Khalafi, Aske Plaat:
Real-Time Excavation Detection at Construction Sites using Deep Learning. IDA 2018: 340-352 - 2017
- [c21]Yasser S. Arenas Rebolledo, Peter van der Putten, Maarten H. Lamers:
Assessing Augmented Creativity: Putting a Lovelace Machine for Interactive Title Generation Through a Human Creativity Test. EvoMUSART 2017: 262-274 - [c20]Sam D. Verkoelen, Maarten H. Lamers, Peter van der Putten:
Exploring the Exactitudes Portrait Series with Restricted Boltzmann Machines. EvoMUSART 2017: 321-337 - 2016
- [c19]Livia Teernstra, Peter van der Putten, Liesbeth Noordegraaf-Eelens, Fons J. Verbeek:
The Morality Machine: Tracking Moral Values in Tweets. IDA 2016: 26-37 - [c18]Deepak Soekhoe, Peter van der Putten, Aske Plaat:
On the Impact of Data Set Size in Transfer Learning Using Deep Neural Networks. IDA 2016: 50-60 - [c17]Martijn J. Post, Peter van der Putten, Jan N. van Rijn:
Does Feature Selection Improve Classification? A Large Scale Experiment in OpenML. IDA 2016: 158-170 - [c16]J. Siebelink, Peter van der Putten, Maurits Clemens Kaptein:
Do Warriors, Villagers and Scientists Decide Differently? The Impact of Role on Message Framing. INTETAIN 2016: 167-177 - 2014
- [c15]Mohd Hafeez Osman, Michel R. V. Chaudron, Peter van der Putten:
Interactive Scalable Abstraction of Reverse Engineered UML Class Diagrams. APSEC (1) 2014: 159-166 - [c14]Dejan Radosavljevik, Peter van der Putten:
Large scale predictive modeling for micro-simulation of 3G air interface load. KDD 2014: 1620-1629 - 2013
- [c13]Maarten H. Lamers, Fons J. Verbeek, Peter W. H. van der Putten:
Tinkering in Scientific Education. Advances in Computer Entertainment 2013: 568-571 - [c12]Mohd Hafeez Osman, Michel R. V. Chaudron, Peter van der Putten:
An Analysis of Machine Learning Algorithms for Condensing Reverse Engineered Class Diagrams. ICSM 2013: 140-149 - [c11]Dejan Radosavljevik, Peter van der Putten:
Preventing Churn in Telecommunications: The Forgotten Network. IDA 2013: 357-368 - 2012
- [c10]Dejan Radosavljevik, Peter van der Putten, Kim Kyllesbech Larsen:
Mass Scale Modeling and Simulation of the Air-Interface Load in 3G Radio Access Networks. IDA 2012: 301-312 - 2010
- [j2]Dejan Radosavljevik, Peter van der Putten, 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? Trans. Mach. Learn. Data Min. 3(2): 80-99 (2010) - [c9]Dejan Radosavljevik, Peter van der Putten, Kim Kyllesbech Larsen:
The Impact of Experimental Setup on Prepaid Churn Modeling: Data, Population and Outcome Definition. ICDM (Workshops) 2010: 14-27 - [c8]Menno Israël, Jetske van der Schaar, Egon L. van den Broek, Marten den Uyl, Peter van der Putten:
Multi-level visual alphabets. IPTA 2010: 349-354 - [p1]Peter van der Putten, Joost N. Kok:
Using Data Fusion to Enrich Customer Databases with Survey Data for Database Marketing. Marketing Intelligent Systems Using Soft Computing 2010: 113-130
2000 – 2009
- 2007
- [c7]Peter Paauwe, Peter van der Putten, Michiel C. van Wezel:
DTMC: an actionable e-customer lifetime value model based on markov chains and decision trees. ICEC 2007: 253-262 - 2006
- [c6]Jinshuo Liu, Peter van der Putten, Ferry Hagen, Xinmeng Chen, Teun Boekhout:
Detecting Virulent Cells of Cryptococcus Neoformans Yeast: Clustering Experiments. ICPR (1) 2006: 1112-1115 - 2005
- [c5]Lingjun Meng, Peter van der Putten, Haiyang Wang:
A Comprehensive Benchmark of the Artificial Immune Recognition System (AIRS). ADMA 2005: 575-582 - [c4]Peter van der Putten, Lingjun Meng:
Benchmarking Artificial Immune Systems. BNAIC 2005: 393-394 - 2004
- [j1]Peter van der Putten, Maarten van Someren:
A Bias-Variance Analysis of a Real World Learning Problem: The CoIL Challenge 2000. Mach. Learn. 57(1-2): 177-195 (2004) - 2002
- [c3]Peter van der Putten, Joost N. Kok, Amar Gupta:
Why the Information Explosion Can Be Bad for Data Mining, and How Data Fusion Provides a Way Out. SDM 2002: 128-138 - 2001
- [c2]Kate A. Smith, Sheldon Chuan, Peter van der Putten:
Determining the Validity of Clustering for Data Fusion. HIS 2001: 627-636 - [c1]Michiel C. van Wezel, Walter A. Kosters, Peter van der Putten, Joost N. Kok:
Nonmetric Multidimensional Scaling with Neural Networks. IDA 2001: 145-155
Coauthor Index
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