Anísio Lacerda
About
Anísio Lacerda has authored 24 papers that have received a total of 251 indexed citations.
This includes 9 papers in Artificial Intelligence, 8 papers in Information Systems and 7 papers in Computer Vision and Pattern Recognition. The topics of these papers are Recommender Systems and Techniques (8 papers), Advanced Bandit Algorithms Research (5 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Anísio Lacerda is often cited by papers focused on Recommender Systems and Techniques (8 papers), Advanced Bandit Algorithms Research (5 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers) and collaborates with scholars based in Brazil, Portugal and France. Anísio Lacerda's co-authors include Gisele L. Pappa, Nívio Ziviani, Flávio Luis Cardeal Pádua, Adriano Veloso and Daniel H. Dalip and has published in prestigious journals such as Information Sciences, Neurocomputing and Data Mining and Knowledge Discovery
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