Marcos André Gonçalves

基本信息

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职业迁徙

个人简介

Recebeu diversos prêmios e homenagens ao longo de sua carreira. Atua na área de Ciência da Computação com Ênfase em Recuperação de Informação, Aprendizado de Máquina e Processamento de Linguagem Natural.

研究兴趣

论文共 385 篇作者统计合作学者相似作者

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Reducing the user labeling effort in effective high recall tasks by fine-tuning active learning

Guilherme Dal Bianco,Denio Duarte,Marcos Andre Goncalves

JOURNAL OF INTELLIGENT INFORMATION SYSTEMS (2023)

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Potential and limitations of machine meta-learning (ensemble) methods for predicting COVID-19 mortality in a large inhospital Brazilian dataset

Bruno Barbosa Miranda de Paiva,Polianna Delfino Pereira,Claudio Moisés Valiense de Andrade,Virginia Mara Reis Gomes,Maira Viana Rego Souza-Silva,Karina Paula Medeiros Prado Martins,Thaís Lorenna Souza Sales,Rafael Lima Rodrigues de Carvalho,Magda Carvalho Pires,Lucas Emanuel Ferreira Ramos,Rafael Tavares Silva, Alessandra de Freitas Martins Vieira,

Sci Rep（2023）

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An Effective, Efficient, and Scalable Confidence-based Instance Selection Framework for Transformer-Based Text Classification

Washington Cunha,Celso França, Guilherme Fonseca,Leonardo Rocha 0001,Marcos André Gonçalves

SIGIRpp.665-674, (2023)

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The rise of hyperprolific authors in computer science: characterization and implications

Edré Moreira,Wagner Meira Jr.,Marcos André Gonçalves,Alberto H. F. Laender

Scientometricsno. 5 (2023): 2945-2974

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Reducing the user labeling effort in effective high recall tasks by fine-tuning active learning

Bianco Guilherme Dal,Duarte Denio,Gonçalves Marcos André

Journal of Intelligent Information Systemspp.1-20, (2023)

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On the class separability of contextual embeddings representations – or “The classifier does not matter when the (text) representation is so good!”

Claudio M.V. de Andrade,Fabiano M. Belém, Washington Cunha, Celso França,Felipe Viegas,Leonardo Rocha,Marcos André Gonçalves

Information Processing & Managementno. 4 (2023): 103336

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Risk-Sensitive Deep Neural Learning to Rank

Pedro Henrique Silva Rodrigues,Daniel Xavier Sousa,Thierson Couto Rosa,Marcos André Gonçalves

SIGIR '22: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in...（2022）

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Logistic and Machine Learning Approaches to Identify Predictors of Venous Thromboembolism in Covid-19 Patients

Manuela F. Sacioto, Warley C. Silveira,Suely Rezende, Bruno B. Paiva, Magda C. Pires, Claudio Valiense,Marcos A. Goncalves, Polianna D. Pereira, Milena Marcolino

CIRCULATION（2022）

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Contrasting Explain-ML with Interpretability Machine Learning Tools in Light of Interactive Machine Learning Principles