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)

UU-Tax at SemEval-2022 Task 3: Improving the generalizability of language models for taxonomy classification through data augmentation. - Injy Sarhan; Pablo Mosteiro; Marco Spruit (SemEval@NAACL, 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)

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)

How and where does CLIP process negation? - Vincent Quantmeyer; Pablo Mosteiro; Albert Gatt (CoRR, 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)

Word boundaries and the morphology-syntax trade-off. - Pablo Mosteiro; Damián E. Blasi (COLING Workshops, 2025)

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)

Assessing the Reliability of LLMs Annotations in the Context of Demographic Bias and Model Explanation. - Hadi Mohammadi; Tina Shahedi; Pablo Mosteiro; Massimo Poesio; Ayoub Bagheri; Anastasia Giachanou (CoRR, 2025)