José A. Gámez

4 papers · 2018–2026 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird

Venues

PGM (2) AAAI (1) JMLR (1)

Top co-authors

Juan A. Aledo (3) José M. Puerta (2) Jacinto Arias (1) Juan C. Alfaro (1) Enrique G. Rodrigo (1) Pablo Torrijos (1)

Research topics

Machine Learning (4) Artificial Intelligence (3) Bayesian & Probabilistic · Artificial Intelligence (3) Bayesian & Probabilistic · Machine Learning (2) Core Methods (2) Learning Types (2) Optimization & Theory (2) Data Science & Analytics (1) Applications (1) Learning Paradigms (1)

Keywords

bayesian network (2) bayesian network classifier (2) ensemble learning (1) preference learning (1) model aggregation (1) scalable machine learning (1) variance reduction (1) label aggregation (1) rank aggregation (1) crowdsourced learning (1) probabilistic graphical model (1) ensemble method (1) bias-variance tradeoff (1) scalable computing (1) noisy label (1) naive bayesian classifier (1) apache spark (1) naive bayes classifier (1) partial label ranking (1) structural consensus (1)

Papers

Bayesian Network Structural Consensus via Greedy Min-Cut Analysis AAAI 2026 Integrating Bayesian network classifiers to deal with the partial label ranking problem PGM 2022 spark-crowd: A Spark Package for Learning from Crowdsourced Big Data JMLR 2019 Bayesian Network Classifiers Under the Ensemble Perspective PGM 2018