Peter van der Putten

Orcid: 0000-0002-6507-6896

Affiliations:
  • Leiden University, Leiden, The Netherlands


According to our database1, Peter van der Putten authored at least 39 papers between 2001 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Relevance feedback strategies for recall-oriented neural information retrieval.
CoRR, 2023

ChatGPT as a Commenter to the News: Can LLMs Generate Human-Like Opinions?
Proceedings of the Disinformation in Open Online Media, 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.
Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

2022
The COVMis-Stance dataset: Stance Detection on Twitter for COVID-19 Misinformation.
CoRR, 2022

Tracing Political Positioning of Dutch Newspapers.
Proceedings of the Disinformation in Open Online Media, 2022

Redirection Masking Strategies: Understanding Attentional Diversion Methods for Redirection Techniques.
Proceedings of the Extended Abstracts of the Annual Symposium on Computer-Human Interaction in Play, 2022

2021
Trust Me on This One: Conforming to Conversational Assistants.
Minds Mach., 2021

Towards a User-Friendly Tool for Automated Sign Annotation: Identification and Annotation of Time Slots, Number of Hands, and Handshape.
Digit. Humanit. Q., 2021

Distinguishing Commercial from Editorial Content in News.
CoRR, 2021

Sign and Search: Sign Search Functionality for Sign Language Lexica.
Proceedings of the 1st International Workshop on Automatic Translation for Signed and Spoken Languages, 2021

2020
How Identity and Uncertainty Affect Online Social Influence - An Agent-Based Approach.
Proceedings of the Disinformation in Open Online Media, 2020

Spot What Matters: Learning Context Using Graph Convolutional Networks for Weakly-Supervised Action Detection.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019
Towards Automated Grading of UML Class Diagrams with Machine Learning.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

2018
Don't Rule Out Simple Models Prematurely: A Large Scale Benchmark Comparing Linear and Non-linear Classifiers in OpenML.
Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

Real-Time Excavation Detection at Construction Sites using Deep Learning.
Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

2017
Exploring the Exactitudes Portrait Series with Restricted Boltzmann Machines.
Proceedings of the Computational Intelligence in Music, Sound, Art and Design, 2017

Assessing Augmented Creativity: Putting a Lovelace Machine for Interactive Title Generation Through a Human Creativity Test.
Proceedings of the Computational Intelligence in Music, Sound, Art and Design, 2017

2016
Do Warriors, Villagers and Scientists Decide Differently? The Impact of Role on Message Framing.
Proceedings of the Intelligent Technologies for Interactive Entertainment, 2016

The Morality Machine: Tracking Moral Values in Tweets.
Proceedings of the Advances in Intelligent Data Analysis XV - 15th International Symposium, 2016

On the Impact of Data Set Size in Transfer Learning Using Deep Neural Networks.
Proceedings of the Advances in Intelligent Data Analysis XV - 15th International Symposium, 2016

Does Feature Selection Improve Classification? A Large Scale Experiment in OpenML.
Proceedings of the Advances in Intelligent Data Analysis XV - 15th International Symposium, 2016

2014
Large scale predictive modeling for micro-simulation of 3G air interface load.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Interactive Scalable Abstraction of Reverse Engineered UML Class Diagrams.
Proceedings of the 21st Asia-Pacific Software Engineering Conference, 2014

2013
Preventing Churn in Telecommunications: The Forgotten Network.
Proceedings of the Advances in Intelligent Data Analysis XII, 2013

An Analysis of Machine Learning Algorithms for Condensing Reverse Engineered Class Diagrams.
Proceedings of the 2013 IEEE International Conference on Software Maintenance, 2013

Tinkering in Scientific Education.
Proceedings of the Advances in Computer Entertainment - 10th International Conference, 2013

2012
Mass Scale Modeling and Simulation of the Air-Interface Load in 3G Radio Access Networks.
Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

2010
Using Data Fusion to Enrich Customer Databases with Survey Data for Database Marketing.
Proceedings of the Marketing Intelligent Systems Using Soft Computing, 2010

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., 2010

Multi-level visual alphabets.
Proceedings of the 2nd International Conference on Image Processing Theory Tools and Applications, 2010

The Impact of Experimental Setup on Prepaid Churn Modeling: Data, Population and Outcome Definition.
Proceedings of the Advances in Data Mining. 10th Industrial Conference, 2010

2007
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

2006
Detecting Virulent Cells of Cryptococcus Neoformans Yeast: Clustering Experiments.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2005
Benchmarking Artificial Immune Systems.
Proceedings of the BNAIC 2005, 2005

A Comprehensive Benchmark of the Artificial Immune Recognition System (AIRS).
Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005

2004
A Bias-Variance Analysis of a Real World Learning Problem: The CoIL Challenge 2000.
Mach. Learn., 2004

2002
Why the Information Explosion Can Be Bad for Data Mining, and How Data Fusion Provides a Way Out.
Proceedings of the Second SIAM International Conference on Data Mining, 2002

2001
Nonmetric Multidimensional Scaling with Neural Networks.
Proceedings of the Advances in Intelligent Data Analysis, 4th International Conference, 2001

Determining the Validity of Clustering for Data Fusion.
Proceedings of the Hybrid Information Systems, 2001


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