Supporting Intelligence Analysts with a Trust-Based Question-Answering System. - Maaike de Boer; Peter-Paul van Maanen; Gerard Vreeswijk (Web Intelligence/IAT Workshops, 2013)

TNO at TRECVID 2013: Multimedia Event Detection and Instance Search. - Henri Bouma; George Azzopardi; Martijn Spitters; Joost de Wit; Corné Versloot; Remco van der Zon; Pieter Eendebak; Jan Baan; Johan-Martijn ten Hove; Adam W. M. van Eekeren; Frank Bart ter Haar; Richard den Hollander; et al. (TRECVID, 2013)

VIREO-TNO @ TRECVID 2014: Multimedia Event Detection and Recounting (MED and MER). - Chong-Wah Ngo; Yi-Jie Lu; Hao Zhang 047; Ting Yao; Chun Chet Tan; Lei Pang; Maaike de Boer; John G. M. Schavemaker; Klamer Schutte; Wessel Kraaij (TRECVID, 2014)

Fast Re-ranking of Visual Search Results by Example Selection. - John G. M. Schavemaker; Martijn Spitters; Gijs Koot; Maaike de Boer (CAIP (1), 2015)

Interactive detection of incrementally learned concepts in images with ranking and semantic query interpretation. - Klamer Schutte; Henri Bouma; John G. M. Schavemaker; Laura Daniele; Maya Sappelli; Gijs Koot; Pieter Eendebak; George Azzopardi; Martijn Spitters; Maaike de Boer; Maarten Kruithof; Paul Brandt (CBMI, 2015)

VIREO-TNO @ TRECVID 2015: Multimedia Event Detection and Video Hyperlinking. - Hao Zhang 047; Yi-Jie Lu; Maaike de Boer; Frank Bart ter Haar; Zhaofan Qiu; Klamer Schutte; Wessel Kraaij; Chong-Wah Ngo (TRECVID, 2015)

Event Detection with Zero Example: Select the Right and Suppress the Wrong Concepts. - Yi-Jie Lu; Hao Zhang 047; Maaike de Boer; Chong-Wah Ngo (ICMR, 2016)

Blind late fusion in multimedia event retrieval. - Maaike de Boer; Klamer Schutte; Hao Zhang 047; Yi-Jie Lu; Chong-Wah Ngo; Wessel Kraaij (Int. J. Multim. Inf. Retr., 2016)

Assessing e-mail intent and tasks in e-mail messages. - Maya Sappelli; Gabriella Pasi; Suzan Verberne; Maaike de Boer; Wessel Kraaij (Inf. Sci., 2016)

Knowledge based query expansion in complex multimedia event detection. - Maaike de Boer; Klamer Schutte; Wessel Kraaij (Multim. Tools Appl., 2016)

SUDS: System for uncertainty decision support. - Maaike de Boer; Barry Nouwt; Michael van Bekkum (IEEE BigData, 2017)

Rocchio-Based Relevance Feedback in Video Event Retrieval. - Geert L. J. Pingen; Maaike H. T. de Boer; Robin B. N. Aly (MMM (2), 2017)

Improving video event retrieval by user feedback. - Maaike de Boer; Geert Pingen; Douwe Knook; Klamer Schutte; Wessel Kraaij (Multim. Tools Appl., 2017)

Semantic Mapping in Video Retrieval. - Maaike H. T. de Boer (SIGIR Forum, 2017)

Semantic Reasoning in Zero Example Video Event Retrieval. - Maaike de Boer; Yi-Jie Lu; Hao Zhang 047; Klamer Schutte; Chong-Wah Ngo; Wessel Kraaij (ACM Trans. Multim. Comput. Commun. Appl., 2017)

A Dual Prediction Network for Image Captioning. - Yanming Guo; Yu Liu 012; Maaike H. T. de Boer; Li Liu 002; Michael S. Lew (ICME, 2018)

Opinion aspect extraction in Dutch childrens diary entries. - Hella Haanstra; Maaike H. T. de Boer (CoRR, 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)

Towards Data-driven Ontologies: a Filtering Approach using Keywords and Natural Language Constructs. - Maaike de Boer; Jack P. C. Verhoosel (LREC, 2020)

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

Hybrid AI using Graph Neural Networks in Scene Classification. - Maaike H. T. de Boer; Fieke Hillerström (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2021)

The FATE System: FAir, Transparent and Explainable Decision Making. - Joachim de Greeff; Maaike H. T. de Boer; Fieke H. J. Hillerström; Freek Bomhof; Wiard Jorritsma; Mark A. Neerincx (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2021)

Towards Automatic Ontology Alignment using BERT. - Sophie Neutel; Maaike H. T. de Boer (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2021)

Vacancy Improver: A Demo towards skill-based debiased Vacancies. - Maaike H. T. de Boer; Erik M. Boertjes; Mike Wilmer; Steven Vethman; Ajaya Adhikari; Jok Tang (UMAP (Adjunct Publication), 2021)

Modular design patterns for hybrid learning and reasoning systems. - Michael van Bekkum; Maaike de Boer; Frank van Harmelen; André Meyer-Vitali; Annette ten Teije (Appl. Intell., 2021)

Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use cases. - Michael van Bekkum; Maaike de Boer; Frank van Harmelen; André Meyer-Vitali; Annette ten Teije (CoRR, 2021)

Modular Design Patterns for Hybrid Actors. - André Meyer-Vitali; Wico Mulder; Maaike H. T. de Boer (CoRR, 2021)

The FATE System Iterated: Fair, Transparent and Explainable Decision Making in a Juridical Case. - Maaike H. T. de Boer; Steven Vethman; Roos M. Bakker; Ajaya Adhikari; Michiel Marcus; Joachim de Greeff; Jasper van der Waa; Tjeerd A. J. Schoonderwoerd; Ioannis Tolios; Emma M. van Zoelen; Fieke Hillerström; Bart Kamphorst (AAAI Spring Symposium: MAKE, 2022)

Extracting Structured Knowledge from Dutch Legal Texts: A Rule-based Approach. - Roos M. Bakker; Maaike H. T. de Boer; Romy A. N. van Drie; Daan Vos (EKAW (Companion), 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)

Semantic Role Labelling for Dutch Law Texts. - Roos M. Bakker; Romy A. N. van Drie; Maaike de Boer; Robert van Doesburg; Tom M. van Engers (LREC, 2022)

Context-Aware Discrimination Detection in Job Vacancies using Computational Language Models. - Steven Vethman; Ajaya Adhikari; Maaike H. T. de Boer; Joost A. G. M. van Genabeek; Cor J. Veenman (CoRR, 2022)

Creating Dynamically Evolving Ontologies: A Use Case from the Labour Market Domain. - Maaike H. T. de Boer; Roos M. Bakker; Maaike Burghoorn (AAAI Spring Symposium: MAKE, 2023)

Dynamic Ontology Matching Challenge. - Maaike H. T. de Boer; Linda Oosterheert; Roos M. Bakker (AAAI Spring Symposium: MAKE, 2023)

Developing Team Design Patterns for Hybrid Intelligence Systems. - Emma M. van Zoelen; Tina Mioch; Mani Tajaddini; Christian Fleiner; Stefani Tsaneva; Pietro Camin; Thiago S. Gouvêa; Kim Baraka; Maaike H. T. de Boer; Mark A. Neerincx (HHAI, 2023)

The Dutch Law as a Semantic Role Labeling Dataset. - Romy A. N. van Drie; Maaike H. T. de Boer; Roos M. Bakker; Ioannis Tolios; Daan Vos (ICAIL, 2023)

Advancing Ontology Alignment in the Labor Market: Combining Large Language Models with Domain Knowledge. - Lucas L. Snijder; Quirine T. S. Smit; Maaike H. T. de Boer (AAAI Spring Symposia, 2024)

Automatic Ontology Term Typing by LLMs: the Impact of Prompt and Ontology Variation. - Upal Bhattacharya; Maaike de Boer; Sergey Sosnovsky (EKAW (Companion), 2024)

Modular Design Patterns for Generative Neuro-Symbolic Systems. - Maaike H. T. de Boer; Quirine T. S. Smit; Michael van Bekkum; André Meyer-Vitali; Thomas Schmid (ESWC Workshops, 2024)

Intelligent Support Systems for Lifestyle Change: Integrating Dialogue, Information Extraction, and Reasoning. - Pei-Yu Chen; Selene Baez Santamaría; Maaike H. T. de Boer; Floris den Hengst; Bart A. Kamphorst; Quirine T. S. Smit; Shihan Wang 001; Johanna Wolff (HHAI, 2024)

Hybrid Intelligence for Healthcare (Preface). - Chenxu Hao; Myrthe Tielman; Jasper van der Waa; Maaike de Boer; Mark A. Neerincx (HHAI Workshops, 2024)

Ontology Learning from Text: an Analysis on LLM Performance. - Roos M. Bakker; Daan L. Di Scala; Maaike H. T. de Boer (NLP4KGC@SEMANTiCS, 2024)

Flexible image analysis for law enforcement agencies with deep neural networks to determine: where, who and what. - Henri Bouma; Bart Joosten; Maarten C. Kruithof; Maaike H. T. de Boer; Alexandru Ginsca; Benjamin Labbé; Quoc T. Vuong (CoRR, 2024)

Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management. - Bernd Dudzik; Jasper van der Waa; Pei-Yu Chen; Roel Dobbe; Inago M. D. R. de Troya; Roos M. Bakker; Maaike H. T. de Boer; Quirine T. S. Smit; Davide Dell'Anna; Emre Erdogan; Pinar Yolum; Shihan Wang 001; et al. (J. Artif. Intell. Res., 2024)

Detecting Discrimination in Job Vacancies: A Critical Reflection on the Potential of AI Language Models. - Steven Vethman; Ajaya Adhikari; Eliza Hobo; Maaike de Boer; Joost A. G. M. van Genabeek; Cor J. Veenman (EWAF, 2025)

A human-centered perspective on research challenges for hybrid human artificial intelligence in lifestyle and behavior change support. - Chenxu Hao; Susanne Uusitalo; Caroline Figueroa; Quirine T. S. Smit; Michael Strange; Wen-Tseng Chang; M. I. Ribeiro; Vanita Kouomogne Nana; Myrthe L. Tielman; Maaike H. T. de Boer (Frontiers Digit. Health, 2025)

Ethical aspects of ChatGPT: An approach to discuss and evaluate key requirements from different ethical perspectives. - Marc Steen; Joachim de Greeff; Maaike de Boer; Cor J. Veenman (AI Ethics, 2025)

Author Correction: Ethical aspects of ChatGPT: an approach to discuss and evaluate key requirements from different ethical perspectives. - Marc Steen; Joachim de Greeff; Maaike de Boer; Cor J. Veenman (AI Ethics, 2025)