Pablo Mosteiro

19 papers B 2C 1Journal 12Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Assessing the Reliability of LLMs Annotations in the Context of Demographic Bias and Model Explanation. CoRR Hadi Mohammadi, Tina Shahedi, Pablo Mosteiro, Massimo Poesio, Ayoub Bagheri, Anastasia Giachanou
2025	J	`jnl`	Machine learning vs. rule-based methods for document classification of electronic health records within mental health care - A systematic literature review. Nat. Lang. Process. J. Emil Rijcken, Kalliopi Zervanou, Pablo Mosteiro, Floortje Scheepers, Marco Spruit, Uzay Kaymak
2025	—	`conf`	Word boundaries and the morphology-syntax trade-off. COLING Workshops Pablo Mosteiro, Damián E. Blasi
2024	—	`conf`	Fairness in AI-Based Mental Health: Clinician Perspectives and Bias Mitigation. AIES (1) Gizem Sogancioglu, Pablo Mosteiro, Albert Ali Salah, Floortje Scheepers, Heysem Kaya
2024	J	`jnl`	How and where does CLIP process negation? CoRR Vincent Quantmeyer, Pablo Mosteiro, Albert Gatt
2024	J	`jnl`	Topic specificity: A descriptive metric for algorithm selection and finding the right number of topics. Nat. Lang. Process. J. Emil Rijcken, Kalliopi Zervanou, Pablo Mosteiro, Floortje Scheepers, Marco Spruit, Uzay Kaymak
2022	J	`jnl`	Bias Discovery in Machine Learning Models for Mental Health. CoRR Pablo Mosteiro, Jesse Kuiper, Judith Masthoff, Floortje Scheepers, Marco Spruit
2022	J	`jnl`	Bias Discovery in Machine Learning Models for Mental Health. Inf. Pablo Mosteiro, Jesse Kuiper, Judith Masthoff, Floortje Scheepers, Marco Spruit
2022	B	`conf`	Exploring Embedding Spaces for more Coherent Topic Modeling in Electronic Health Records. SMC Emil Rijcken, Kalliopi Zervanou, Marco Spruit, Pablo Mosteiro, Floortje Scheepers, Uzay Kaymak
2022	J	`jnl`	Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting. CoRR Thomas Borger, Pablo Mosteiro, Heysem Kaya, Emil Rijcken, Albert Ali Salah, Floortje Scheepers, Marco Spruit
2022	J	`jnl`	Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting. Expert Syst. Appl. Thomas Borger, Pablo Mosteiro, Heysem Kaya, Emil Rijcken, Albert Ali Salah, Floortje Scheepers, Marco Spruit
2022	B	`conf`	FuzzyTM: a Software Package for Fuzzy Topic Modeling. FUZZ-IEEE Emil Rijcken, Pablo Mosteiro, Kalliopi Zervanou, Marco Spruit, Floortje Scheepers, Uzay Kaymak
2022	J	`jnl`	Machine Learning for Violence Risk Assessment Using Dutch Clinical Notes. CoRR Pablo Mosteiro, Emil Rijcken, Kalliopi Zervanou, Uzay Kaymak, Floortje Scheepers, Marco Spruit
2022	J	`jnl`	Making sense of violence risk predictions using clinical notes. CoRR Pablo Mosteiro, Emil Rijcken, Kalliopi Zervanou, Uzay Kaymak, Floortje Scheepers, Marco Spruit
2022	J	`jnl`	Topic Modeling for Interpretable Text Classification From EHRs. Frontiers Big Data Emil Rijcken, Uzay Kaymak, Floortje Scheepers, Pablo Mosteiro, Kalliopi Zervanou, Marco Spruit
2022	—	`conf`	UU-Tax at SemEval-2022 Task 3: Improving the generalizability of language models for taxonomy classification through data augmentation. SemEval@NAACL Injy Sarhan, Pablo Mosteiro, Marco Spruit
2022	J	`jnl`	UU-Tax at SemEval-2022 Task 3: Improving the generalizability of language models for taxonomy classification through data augmentation. CoRR Injy Sarhan, Pablo Mosteiro, Marco Spruit
2021	—	`conf`	A Comparative Study of Fuzzy Topic Models and LDA in terms of Interpretability. SSCI Emil Rijcken, Floortje Scheepers, Pablo Mosteiro, Kalliopi Zervanou, Marco Spruit, Uzay Kaymak
2020	C	`conf`	Making Sense of Violence Risk Predictions Using Clinical Notes. HIS Pablo Mosteiro, Emil Rijcken, Kalliopi Zervanou, Uzay Kaymak, Floortje Scheepers, Marco Spruit