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Pablo Mosteiro
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2020 – today
- 2024
- [j4]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: 100082 (2024) - [i6]Vincent Quantmeyer, Pablo Mosteiro, Albert Gatt:
How and where does CLIP process negation? CoRR abs/2407.10488 (2024) - 2022
- [j3]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: 116720 (2022) - [j2]Emil Rijcken, Uzay Kaymak, Floortje Scheepers, Pablo Mosteiro, Kalliopi Zervanou, Marco Spruit:
Topic Modeling for Interpretable Text Classification From EHRs. Frontiers Big Data 5: 846930 (2022) - [j1]Pablo Mosteiro, Jesse Kuiper, Judith Masthoff, Floortje Scheepers, Marco Spruit:
Bias Discovery in Machine Learning Models for Mental Health. Inf. 13(5): 237 (2022) - [c5]Emil Rijcken, Pablo Mosteiro, Kalliopi Zervanou, Marco Spruit, Floortje Scheepers, Uzay Kaymak:
FuzzyTM: a Software Package for Fuzzy Topic Modeling. FUZZ-IEEE 2022: 1-8 - [c4]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: 271-281 - [c3]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: 2669-2674 - [i5]Pablo Mosteiro, Emil Rijcken, Kalliopi Zervanou, Uzay Kaymak, Floortje Scheepers, Marco Spruit:
Machine Learning for Violence Risk Assessment Using Dutch Clinical Notes. CoRR abs/2204.13535 (2022) - [i4]Pablo Mosteiro, Emil Rijcken, Kalliopi Zervanou, Uzay Kaymak, Floortje Scheepers, Marco Spruit:
Making sense of violence risk predictions using clinical notes. CoRR abs/2204.13976 (2022) - [i3]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 abs/2205.10234 (2022) - [i2]Pablo Mosteiro, Jesse Kuiper, Judith Masthoff, Floortje Scheepers, Marco Spruit:
Bias Discovery in Machine Learning Models for Mental Health. CoRR abs/2205.12093 (2022) - [i1]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 abs/2210.03378 (2022) - 2021
- [c2]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: 1-8 - 2020
- [c1]Pablo Mosteiro, Emil Rijcken, Kalliopi Zervanou, Uzay Kaymak, Floortje Scheepers, Marco Spruit:
Making Sense of Violence Risk Predictions Using Clinical Notes. HIS 2020: 3-14
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last updated on 2024-10-07 21:19 CEST by the dblp team
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