Transitioning to a Data Driven Mental Health Practice: Collaborative Expert Sessions for Knowledge and Hypothesis Finding. - Vincent Jorn Menger; Marco René Spruit; Karin Hagoort; Floor Scheepers (Comput. Math. Methods Medicine, 2016)

DEDUCE: A pattern matching method for automatic de-identification of Dutch medical text. - Vincent Jorn Menger; Floor Scheepers; Lisette Maria van Wijk; Marco Spruit (Telematics Informatics, 2018)

Using Cluster Ensembles to Identify Psychiatric Patient Subgroups. - Vincent Jorn Menger; Marco Spruit; Wouter van der Klift; Floor Scheepers (AIME, 2019)

Supporting Reuse of EHR Data in Healthcare Organizations: The CARED Research Infrastructure Framework. - Vincent Jorn Menger; Marco Spruit; Jonathan de Bruin; Thomas Kelder; Floor Scheepers (HEALTHINF, 2019)

Making Sense of Violence Risk Predictions Using Clinical Notes. - Pablo Mosteiro; Emil Rijcken; Kalliopi Zervanou; Uzay Kaymak; Floortje Scheepers; Marco Spruit (HIS, 2020)

A Comparative Study of Fuzzy Topic Models and LDA in terms of Interpretability. - Emil Rijcken; Floortje Scheepers; Pablo Mosteiro; Kalliopi Zervanou; Marco Spruit; Uzay Kaymak (SSCI, 2021)

FuzzyTM: a Software Package for Fuzzy Topic Modeling. - Emil Rijcken; Pablo Mosteiro; Kalliopi Zervanou; Marco Spruit; Floortje Scheepers; Uzay Kaymak (FUZZ-IEEE, 2022)

Exploring Embedding Spaces for more Coherent Topic Modeling in Electronic Health Records. - Emil Rijcken; Kalliopi Zervanou; Marco Spruit; Pablo Mosteiro; Floortje Scheepers; Uzay Kaymak (SMC, 2022)

Machine Learning for Violence Risk Assessment Using Dutch Clinical Notes. - Pablo Mosteiro; Emil Rijcken; Kalliopi Zervanou; Uzay Kaymak; Floortje Scheepers; Marco Spruit (CoRR, 2022)

Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting. - Thomas Borger; Pablo Mosteiro; Heysem Kaya; Emil Rijcken; Albert Ali Salah; Floortje Scheepers; Marco Spruit (Expert Syst. Appl., 2022)

Topic Modeling for Interpretable Text Classification From EHRs. - Emil Rijcken; Uzay Kaymak; Floortje Scheepers; Pablo Mosteiro; Kalliopi Zervanou; Marco Spruit (Frontiers Big Data, 2022)

Bias Discovery in Machine Learning Models for Mental Health. - Pablo Mosteiro; Jesse Kuiper; Judith Masthoff; Floortje Scheepers; Marco Spruit (Inf., 2022)

Effect of Calculating Pointwise Mutual Information using a Fuzzy Sliding Window in Topic Modeling. - Emil Rijcken; Kalliopi Zervanou; Marco Spruit; Floortje Scheepers; Uzay Kaymak (FUZZ, 2023)

Fairness in AI-Based Mental Health: Clinician Perspectives and Bias Mitigation. - Gizem Sogancioglu; Pablo Mosteiro; Albert Ali Salah; Floortje Scheepers; Heysem Kaya (AIES (1), 2024)

Topic specificity: A descriptive metric for algorithm selection and finding the right number of topics. - Emil Rijcken; Kalliopi Zervanou; Pablo Mosteiro; Floortje Scheepers; Marco Spruit; Uzay Kaymak (Nat. Lang. Process. J., 2024)

Machine learning vs. rule-based methods for document classification of electronic health records within mental health care - A systematic literature review. - Emil Rijcken; Kalliopi Zervanou; Pablo Mosteiro; Floortje Scheepers; Marco Spruit; Uzay Kaymak (Nat. Lang. Process. J., 2025)