Marcos André Gonçalves

机构：Universidade Federal de Minas Gerais, Instituto Federal de Educação, Ciência e Tecnologia de Minas Gerais · ORCID：0000-0002-2075-3363

发表论文 478 篇 · 总被引 10197 次 · h-index 49

代表论文

• Instance-Selection-Inspired Undersampling Strategies for Bias Reduction in Small and Large Language Models for Binary Text Classification (2025 · 被引 8)
• Risk-sensitive optimization of neural deep learning ranking models with applications in ad-hoc retrieval and recommender systems (2025 · Information Processing & Management · 被引 7)
• Unraveling relevant cross-waves pattern drifts in patient-hospital risk factors among hospitalized COVID-19 patients using explainable machine learning methods (2025 · BMC Infectious Diseases · 被引 6)
• A comprehensive qualitative analysis of patient dialogue summarization using large language models applied to noisy, informal, non-English real-world data (2025 · Scientific Reports · 被引 5)
• A Robustness Assessment of Query Performance Prediction (QPP) Methods Based on Risk-Sensitive Analysis (2025 · 被引 4)
• Review-Aware Recommender Systems (RARSs): Recent Advances, Experimental Comparative Analysis, Discussions, and New Directions (2025 · ACM Computing Surveys · 被引 4)