37 citations · 67 across the 3 of their papers we have counts for
3 papers
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
This paper presents our strategy to address the SemEval-2022 Task 3 PreTENS: Presupposed Taxonomies Evaluating Neural Network Semantics. The goal of the task is to identify if a se…
Bias Discovery in Machine Learning Models for Mental Health
Pablo Mosteiro, Jesse Kuiper, Judith Masthoff +2
Fairness and bias are crucial concepts in artificial intelligence, yet they are relatively ignored in machine learning applications in clinical psychiatry. We computed fairness met…
Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting
Thomas Borger, Pablo Mosteiro, Heysem Kaya +4
Inpatient violence is a common and severe problem within psychiatry. Knowing who might become violent can influence staffing levels and mitigate severity. Predictive machine learni…