| 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 | 146 | 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 | 100 | 2008 |
| Artificial intelligence for law enforcement: challenges and opportunities S Raaijmakers IEEE security & privacy 17 (5), 74-77, 2019 | 91 | 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 | 59 | 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 | 54 | 2020 |
| A shallow approach to subjectivity classification S Raaijmakers, W Kraaij Proceedings of the International AAAI Conference on Web and Social Media 2 …, 2008 | 51 | 2008 |
| Comparing word, character, and phoneme n-grams for subjective utterance recognition. T Wilson, S Raaijmakers Interspeech, 1614-1617, 2008 | 44 | 2008 |
| Automatic Summarization of Meeting Data: A Feasibility Study. AH Buist, W Kraaij, S Raaijmakers CLIN, 2004 | 43 | 2004 |
| Deep learning for natural language processing S Raaijmakers Simon and Schuster, 2022 | 40 | 2022 |
| Ontology-based access control for FAIR data C Brewster, B Nouwt, S Raaijmakers, J Verhoosel Data Intelligence 2 (1-2), 66-77, 2020 | 38 | 2020 |
| Electronic document classification apparatus W Kraaij, SA Raaijmakers US Patent 8,554,715, 2013 | 35 | 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 | 27 | 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 | 27* | 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 | 25 | 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 | 25 | 2002 |
| The multilingual token test R Bastiaanse, S Raaijmakers, D Satoer, E Visch-Brink Aphasiology 30 (4), 508-508, 2016 | 22 | 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 | 21 | 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 | 17 | 2002 |
| The gender subtext of organizational learning S Raaijmakers, I Bleijenbergh, B Fokkinga, M Visser The Learning Organization 25 (1), 19-28, 2018 | 13 | 2018 |
| Automatic analysis of online image data for law enforcement agencies by concept detection and instance search MHT de Boer, H Bouma, MC Kruithof, FB ter Haar, NM Fischer, ... Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies …, 2017 | 13 | 2017 |
Wessel KraaijProfessor Leiden University; principal scientist TNO; ACM distinguished member在 liacs.leidenuniv.nl 的电子邮件经过验证
