Stephan Raaijmakers
Stephan Raaijmakers
Senior scientist AI at TNO; Professor of Communicative AI at LUCL, Leiden University
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Hybrid collective intelligence in a human–AI society
MMM Peeters, J van Diggelen, K Van Den Bosch, A Bronkhorst, ...
AI & society 36, 217-238, 2021
Multimodal subjectivity analysis of multiparty conversation
S Raaijmakers, KP Truong, T Wilson
Proceedings of the 2008 Conference on Empirical Methods in Natural Language …, 2008
Artificial intelligence for law enforcement: challenges and opportunities
S Raaijmakers
IEEE security & privacy 17 (5), 74-77, 2019
Learning to rank for why-question answering
S Verberne, H van Halteren, D Theijssen, S Raaijmakers, L Boves
Information Retrieval 14, 107-132, 2011
Adversarial patch camouflage against aerial detection
R Den Hollander, A Adhikari, I Tolios, M van Bekkum, A Bal, S Hendriks, ...
Artificial intelligence and machine learning in defense applications II …, 2020
A shallow approach to subjectivity classification
S Raaijmakers, W Kraaij
Proceedings of the International AAAI Conference on Web and Social Media 2 …, 2008
Comparing word, character, and phoneme n-grams for subjective utterance recognition.
T Wilson, S Raaijmakers
Interspeech, 1614-1617, 2008
Automatic Summarization of Meeting Data: A Feasibility Study.
AH Buist, W Kraaij, S Raaijmakers
CLIN, 2004
Ontology-based access control for FAIR data
C Brewster, B Nouwt, S Raaijmakers, J Verhoosel
Data Intelligence 2 (1-2), 66-77, 2020
Electronic document classification apparatus
W Kraaij, SA Raaijmakers
US Patent 8,554,715, 2013
Automatic recognition of spontaneous emotions in speech using acoustic and lexical features
KP Truong, S Raaijmakers
International Workshop on Machine Learning for Multimodal Interaction, 161-172, 2008
Lazy users and automatic video retrieval tools in (the) lowlands
THWW J Baan, van A Ballegooij, JM Geusenbroek, den JE Hartog, D Hiemstra, JA ...
TREC 500 (25), 159-168, 2002
Learning to Rank QA Data: Evaluating Machine Learning Techniques for Ranking Answers to Why-Questions
S Verberne, H Halteren, S Raaijmakers, DL Theijssen, LWJ Boves
Boston, Massachusetts, USA: Association for Computing Machinery, 2009
Multimodal topic segmentation and classification of news video
S Raaijmakers, J den Hartog, J Baan
Proceedings. IEEE International Conference on Multimedia and Expo 2, 33-36, 2002
Deep learning for natural language processing
S Raaijmakers
Simon and Schuster, 2022
The multilingual token test
R Bastiaanse, S Raaijmakers, D Satoer, E Visch-Brink
Aphasiology 30 (4), 508-508, 2016
Text mining in cybersecurity: Exploring threats and opportunities
MHT de Boer, BJ Bakker, E Boertjes, M Wilmer, S Raaijmakers, ...
Multimodal Technologies and Interaction 3 (3), 62, 2019
Trec feature extraction by active learning
J Vendrig, J Hartog, D Leeuwen, I Patras, S Raaijmakers, J Rest, C Snoek, ...
In Proceedings of the 11th Text Retrieval Conference (TREC, 2002
The gender subtext of organizational learning
S Raaijmakers, I Bleijenbergh, B Fokkinga, M Visser
The Learning Organization 25 (1), 19-28, 2018
ICM: An Intuitive Model Independent and Accurate Certainty Measure for Machine Learning
J Waa, J Diggelen, S Raaijmakers
The 10th International Conference on Agents and Artificial Intelligence …, 2018
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