Finding Representations for Memory-Based Language Learning. - Stephan Raaijmakers (CoNLL, 1999)

Learning Distributed Linguistic Classes. - Stephan Raaijmakers (CoNLL/LLL, 2000)

Multimodal topic segmentation and classification of news video. - Stephan Raaijmakers; Jurgen den Hartog; Jan Baan (ICME (2), 2002)

TREC Feature Extraction by Active Learning. - Jeroen Vendrig; Ioannis Patras; Cees Snoek; Marcel Worring; Jurgen den Hartog; Stephan Raaijmakers; Jeroen van Rest; David A. van Leeuwen (TREC, 2002)

Automatic Summarization of Meeting Data: A Feasibility Study. - Anne Hendrik Buist; Wessel Kraaij; Stephan Raaijmakers (CLIN, 2004)

MeSH Based Feedback, Concept Recognition and Stacked Classification for Curation Tasks. - Wessel Kraaij; Stephan Raaijmakers; Marc Weeber; Rob Jelier (TREC, 2004)

Sentiment classification with interpolated information diffusion kernels. - Stephan Raaijmakers (AdKDD@KDD, 2007)

Searching spontaneous conversational speech. - Franciska de Jong; Douglas W. Oard; Roeland Ordelman; Stephan Raaijmakers (SIGIR Forum, 2007)

Multimodal Subjectivity Analysis of Multiparty Conversation. - Stephan Raaijmakers; Khiet P. Truong; Theresa Wilson (EMNLP, 2008)

A Shallow Approach to Subjectivity Classification. - Stephan Raaijmakers; Wessel Kraaij (ICWSM, 2008)

Comparing word, character, and phoneme n-grams for subjective utterance recognition. - Theresa Wilson; Stephan Raaijmakers (INTERSPEECH, 2008)

Automatic Recognition of Spontaneous Emotions in Speech Using Acoustic and Lexical Features. - Khiet P. Truong; Stephan Raaijmakers (MLMI, 2008)

Polarity Classification of Blog TREC 2008 Data with a Geodesic Kernel. - Stephan Raaijmakers; Wessel Kraaij (TREC, 2008)

A Cocktail Approach to the VideoCLEF'09 Linking Task. - Stephan Raaijmakers; Corné Versloot; Joost de Wit (CLEF (2), 2009)

Annotation of URLs: more than the sum of parts. - Max Hinne; Wessel Kraaij; Stephan Raaijmakers; Suzan Verberne; Theo P. van der Weide; Maarten van der Heijden (SIGIR, 2009)

Classifier Calibration for Multi-Domain Sentiment Classification. - Stephan Raaijmakers; Wessel Kraaij (ICWSM, 2010)

TNO Instance Search at TRECVID 2010. - John G. M. Schavemaker; Peter Jan O. Doets; Wessel Kraaij; Stephan Raaijmakers; Mark van Staalduinen (TRECVID, 2010)

Learning to rank for why-question answering. - Suzan Verberne; Hans van Halteren; Daphne Theijssen; Stephan Raaijmakers; Lou Boves (Inf. Retr., 2011)

Towards a Social Media-Based Model of Trust and Its Application. - Erik M. Boertjes; Bas Gerrits; Robert E. Kooij; Peter-Paul van Maanen; Stephan Raaijmakers; Joost de Wit (HCC, 2012)

Investigating the interpretability of hidden layers in deep text mining. - Stephan Raaijmakers; Maya Sappelli; Wessel Kraaij (SEMANTiCS, 2017)

Exploiting Ontologies for Deep Learning: A Case for Sentiment Mining. - Stephan Raaijmakers; Christopher Brewster (SEMANTiCS (Posters & Demos), 2018)

ICM: An Intuitive Model Independent and Accurate Certainty Measure for Machine Learning. - Jasper van der Waa; Jurriaan van Diggelen; Mark A. Neerincx; Stephan Raaijmakers (ICAART (2), 2018)

Using Neural Transfer Learning for Morpho-syntactic Tagging of South-Slavic Languages Tweets. - Sara Meftah; Nasredine Semmar; Fatiha Sadat; Stephan Raaijmakers (VarDial@COLING 2018, 2018)

Artificial Intelligence for Law Enforcement: Challenges and Opportunities. - Stephan Raaijmakers (IEEE Secur. Priv., 2019)

Text Mining in Cybersecurity: Exploring Threats and Opportunities. - Maaike H. T. de Boer; Babette J. Bakker; Erik M. Boertjes; Mike Wilmer; Stephan Raaijmakers; Rick van der Kleij (Multimodal Technol. Interact., 2019)

Robustness Verification for Classifier Ensembles. - Dennis Gross; Nils Jansen 001; Guillermo A. Pérez 001; Stephan Raaijmakers (ATVA, 2020)

Near Real-Time Detection of Misinformation on Online Social Networks. - Lennart van de Guchte; Stephan Raaijmakers; Erik Meeuwissen; Jennifer Spenader (MISDOOM, 2020)

AI-Supported Innovation Monitoring. - Barteld Braaksma; Piet Daas; Stephan Raaijmakers; Amber Geurts; André Meyer-Vitali (TAILOR, 2020)

Adversarial Patch Camouflage against Aerial Detection. - Ajaya Adhikari; Richard den Hollander; Ioannis Tolios; Michael van Bekkum; Anneloes Bal; Stijn Hendriks; Maarten Kruithof; Dennis Gross; Nils Jansen 001; Guillermo A. Pérez 001; Kit Buurman; Stephan Raaijmakers (CoRR, 2020)

Gender prediction using limited Twitter Data. - Maaike Burghoorn; Maaike H. T. de Boer; Stephan Raaijmakers (CoRR, 2020)

Ontology-based Access Control for FAIR Data. - Christopher Brewster; Barry Nouwt; Stephan Raaijmakers; Jack Verhoosel (Data Intell., 2020)

Hybrid collective intelligence in a human-AI society. - Marieke M. M. Peeters; Jurriaan van Diggelen; Karel van den Bosch; Adelbert W. Bronkhorst; Mark A. Neerincx; Jan Maarten Schraagen; Stephan Raaijmakers (AI Soc., 2021)

Need for Structure and the Emergence of Communication. - Tom Kouwenhoven; Roy De Kleijn; Stephan Raaijmakers; Tessa Verhoef (CogSci, 2022)

A Hybrid Approach for Creating Knowledge Graphs: Recognizing Emerging Technologies in Dutch Companies. - Roos M. Bakker; Maaike H. T. de Boer; André P. Meyer-Vitali; Babette J. Bakker; Stephan A. Raaijmakers (HHAI, 2022)

Towards FAIR Explainable AI: a standardized ontology for mapping XAI solutions to use cases, explanations, and AI systems. - Ajaya Adhikari; Edwin Wenink; Jasper van der Waa; Cornelis Bouter; Ioannis Tolios; Stephan Raaijmakers (PETRA, 2022)

Emerging Grounded Shared Vocabularies Between Human and Machine, Inspired by Human Language Evolution. - Tom Kouwenhoven; Tessa Verhoef; Roy De Kleijn; Stephan Raaijmakers (Frontiers Artif. Intell., 2022)

Modeling Human Sequential Behavior with Deep Neural Networks in Emergent Communication. - Tom Kouwenhoven; Tessa Verhoef; Stephan Raaijmakers; Roy De Kleijn (CogSci, 2023)

Editorial: Conversational AI. - Stephan Raaijmakers; Anita H. M. Cremers; Emiel Krahmer; Matthijs Westera (Frontiers Artif. Intell., 2023)

Investigating the effect of different fine-tuning configuration scenarios on agricultural term extraction using BERT. - Hercules Panoutsopoulos; Borja Espejo-García; Stephan Raaijmakers; Xu Wang 032; Spyros Fountas; Christopher Brewster (Comput. Electron. Agric., 2024)

Memory-Augmented Generative Adversarial Transformers. - Stephan Raaijmakers; Roos M. Bakker; Anita H. M. Cremers; Roy De Kleijn; Tom Kouwenhoven; Tessa Verhoef (CoRR, 2024)