Pablo Mosteiro

According to our database, Pablo Mosteiro authored at least 15 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, July, 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

Word boundaries and the morphology-syntax trade-off.

Pablo Mosteiro, Damián E. Blasi

Proceedings of the 31st International Conference on Computational Linguistics, 2025

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

How and where does CLIP process negation?

Vincent Quantmeyer, Pablo Mosteiro, Albert Gatt

CoRR, 2024

Fairness in AI-Based Mental Health: Clinician Perspectives and Bias Mitigation.

Gizem Sogancioglu, Pablo Mosteiro, Albert Ali Salah, Floortje Scheepers, Heysem Kaya

Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024

2022

Bias Discovery in Machine Learning Models for Mental Health.

Pablo Mosteiro, Jesse Kuiper, Judith Masthoff, Floortje Scheepers, Marco Spruit

Inf., 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

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

Machine Learning for Violence Risk Assessment Using Dutch Clinical Notes.

Pablo Mosteiro, Emil Rijcken, Kalliopi Zervanou, Uzay Kaymak, Floortje Scheepers, Marco Spruit

CoRR, 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

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 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

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

FuzzyTM: a Software Package for Fuzzy Topic Modeling.

Emil Rijcken, Pablo Mosteiro, Kalliopi Zervanou, Marco Spruit, Floortje Scheepers, Uzay Kaymak

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

2021

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

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

2020

Making Sense of Violence Risk Predictions Using Clinical Notes.

Pablo Mosteiro, Emil Rijcken, Kalliopi Zervanou, Uzay Kaymak, Floortje Scheepers, Marco Spruit

Proceedings of the Health Information Science - 9th International Conference, 2020