Pablo Mosteiro

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 15

Top Topics

Machine Learning

Variational Bayesian Inference

Top Venues

Nat. Lang. Process. J.

Publications

Emil Rijcken, Kalliopi Zervanou, Pablo Mosteiro, Floortje Scheepers, Marco Spruit, Uzay Kaymak
Topic specificity: A descriptive metric for algorithm selection and finding the right number of topics. Nat. Lang. Process. J. 8 (2024)
Vincent Quantmeyer, Pablo Mosteiro, Albert Gatt
How and where does CLIP process negation? CoRR (2024)
Pablo Mosteiro, Emil Rijcken, Kalliopi Zervanou, Uzay Kaymak, Floortje Scheepers, Marco Spruit
Making sense of violence risk predictions using clinical notes. CoRR (2022)
Injy Sarhan, Pablo Mosteiro, Marco Spruit
UU-Tax at SemEval-2022 Task 3: Improving the generalizability of language models for taxonomy classification through data augmentation. CoRR (2022)
Emil Rijcken, Uzay Kaymak, Floortje Scheepers, Pablo Mosteiro, Kalliopi Zervanou, Marco Spruit
Topic Modeling for Interpretable Text Classification From EHRs. Frontiers Big Data 5 (2022)
Injy Sarhan, Pablo Mosteiro, Marco Spruit
UU-Tax at SemEval-2022 Task 3: Improving the generalizability of language models for taxonomy classification through data augmentation. SemEval@NAACL (2022)
Emil Rijcken, Pablo Mosteiro, Kalliopi Zervanou, Marco Spruit, Floortje Scheepers, Uzay Kaymak
FuzzyTM: a Software Package for Fuzzy Topic Modeling. FUZZ-IEEE (2022)
Emil Rijcken, Kalliopi Zervanou, Marco Spruit, Pablo Mosteiro, Floortje Scheepers, Uzay Kaymak
Exploring Embedding Spaces for more Coherent Topic Modeling in Electronic Health Records. SMC (2022)
Pablo Mosteiro, Jesse Kuiper, Judith Masthoff, Floortje Scheepers, Marco Spruit
Bias Discovery in Machine Learning Models for Mental Health. Inf. 13 (5) (2022)
Pablo Mosteiro, Jesse Kuiper, Judith Masthoff, Floortje Scheepers, Marco Spruit
Bias Discovery in Machine Learning Models for Mental Health. CoRR (2022)
Thomas Borger, Pablo Mosteiro, Heysem Kaya, Emil Rijcken, Albert Ali Salah, Floortje Scheepers, Marco Spruit
Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting. CoRR (2022)
Thomas Borger, Pablo Mosteiro, Heysem Kaya, Emil Rijcken, Albert Ali Salah, Floortje Scheepers, Marco Spruit
Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting. Expert Syst. Appl. 199 (2022)
Pablo Mosteiro, Emil Rijcken, Kalliopi Zervanou, Uzay Kaymak, Floortje Scheepers, Marco Spruit
Machine Learning for Violence Risk Assessment Using Dutch Clinical Notes. CoRR (2022)
Emil Rijcken, Floortje Scheepers, Pablo Mosteiro, Kalliopi Zervanou, Marco Spruit, Uzay Kaymak
A Comparative Study of Fuzzy Topic Models and LDA in terms of Interpretability. SSCI (2021)
Pablo Mosteiro, Emil Rijcken, Kalliopi Zervanou, Uzay Kaymak, Floortje Scheepers, Marco Spruit
Making Sense of Violence Risk Predictions Using Clinical Notes. HIS (2020)