Marcos André Gonçalves

4 papers · 2024–2026 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10)

Venues

ACL (2) CoNLL (1) EMNLP (1)

Top co-authors

Washington Cunha (3) Guilherme Fonseca (3) Leonardo Chaves Dutra Da Rocha (3) Gabriel Prenassi (2) Claudio Moisés Valiense De Andrade (1) Wanderlei Junior (1) Luana De Castro Santos (1) Valerio Basile (1) Samuel B. Jesus (1) Adriana Silvina Pagano (1)

Research topics

Machine Learning (4) Natural Language Processing (2) Application Areas (2) Applications (2) Core Methods (2) Learning Types · Machine Learning (2) Artificial Intelligence (1) Deep Learning (1) Core AI (1) Learning Types · Deep Learning (1)

Keywords

large language model (2) text classification (2) confidence calibration (1) computational efficiency (1) class imbalance (1) support vector machine (1) language model (1) bias reduction (1) random forest (1) contextual embedding (1) error analysis (1) linguistic phenomenon (1) small language model (1) imbalanced dataset (1) classifier bia (1) irony detection (1) balanced brier score (1) sentiment classification (1)

Papers

When High Accuracy Hides Poor Calibration: Rethinking Confidence Evaluation in Transformer-Based Text Classification with Balanced Brier Score ACL 2026 Calibration as a Proxy for Fairness and Efficiency in a Perspectivist Ensemble Approach to Irony Detection EMNLP 2025 Instance-Selection-Inspired Undersampling Strategies for Bias Reduction in Small and Large Language Models for Binary Text Classification ACL 2025 Explaining the Hardest Errors of Contextual Embedding Based Classifiers CoNLL 2024