5 papers
Inference-Time Decision Calibration for Temporal Classification
Arthur Chagas, Arthur Buzelin, Yan Aquino +4
Temporal classification errors are often treated as representation failures, but they can also arise from how available evidence is converted into decisions. This paper proposes a…
Mapping the Political Discourse in the Brazilian Chamber of Deputies: A Multi-Faceted Computational Approach
Flávio Soriano, Victoria F. Mello, Pedro B. Rigueira +4
Analyses of legislative behavior often rely on voting records, overlooking the rich semantic and rhetorical content of political speech. In this paper, we ask three complementary q…
Transferring Clinical Knowledge into ECGs Representation
Jose Geraldo Fernandes, Luiz Facury de Souza, Pedro Robles Dutenhefner +2
Deep learning models have shown high accuracy in classifying electrocardiograms (ECGs), but their black box nature hinders clinical adoption due to a lack of trust and interpretabi…
A CNN-based Local-Global Self-Attention via Averaged Window Embeddings for Hierarchical ECG Analysis
Arthur Buzelin, Pedro Robles Dutenhefner, Turi Rezende +9
Cardiovascular diseases remain the leading cause of global mortality, emphasizing the critical need for efficient diagnostic tools such as electrocardiograms (ECGs). Recent advance…
Discord Unveiled: A Comprehensive Dataset of Public Communication (2015-2024)
Yan Aquino, Pedro Bento, Arthur Buzelin +12
Discord has evolved from a gaming-focused communication tool into a versatile platform supporting diverse online communities. Despite its large user base and active public servers,…