Anísio Lacerda - Concepedia

Author

Anísio Lacerda

Universidade Federal de Minas Gerais ORCID

Also Known As

A. M. Lacerda, Anisio Lacerda, Anisio M. Lacerda, Anisio Mendes Lacerda, Anísio Lacerda, Anísio M. Lacerda, Anísio Mendes Lacerda, Lacerda, Anisio

Publications

Citations

H-Index

Concepts

All Affiliations

Universidade Federal de Minas Gerais Federal Center for Technological Education of Minas Gerais Instituto Federal de Educação, Ciência e Tecnologia de Minas Gerais

About

Anísio Lacerda is an author at Universidade Federal de Minas Gerais specializing in engineering, data science, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	12	18	729
2	Business	3	3	56
3	Management	3	3	186
4	Language Studies	2	2	94
5	Arts	1	1	126

Anísio Lacerda

Publications

794

Citations

H-Index

Page 1

	Year	Citations
Learning to advertise Anísio Lacerda, Marco Cristo, Marcos André Gonçalves, Search Engine OptimizationEngineeringDigital MarketingTargeted AdvertisingSearch Engine Marketing	2006	159
Pareto-efficient hybridization for multi-objective recommender systems Marco Túlio Ribeiro, Anísio Lacerda, Adriano Veloso, Artificial IntelligenceStrength Pareto ApproachEngineeringMachine LearningLearning To Rank	2012	126
Multiobjective Pareto-Efficient Approaches for Recommender Systems Marco Túlio Ribeiro, Nívio Ziviani, Edleno Silva de Moura, ACM Transactions on Intelligent Systems and Technology Ranking AlgorithmEngineeringMultiobjective Pareto-efficient ApproachesLearning To RankText Mining	2014	126
A general framework to expand short text for topic modeling Paulo Viana Bicalho, Marcelo Pita, Gabriel Pedrosa, Information Sciences Natural Language ProcessingEngineeringInformation RetrievalData ScienceTopic Model	2017	78
Multi-Objective Ranked Bandits for Recommender Systems Anísio Lacerda Neurocomputing Ranking AlgorithmEngineeringInformation RetrievalData ScienceGroup Recommenders	2017	42
A video summarization approach based on the emulation of bottom-up mechanisms of visual attention H Gunther Jacob, Flávio Luis Cardeal Pádua, Anísio Lacerda, Journal of Intelligent Information Systems Video Summarization ApproachVisual AttentionBottom-up MechanismsEye TrackingVideo Summarization	2017	31
Is Rank Aggregation Effective in Recommender Systems? An Experimental Analysis Samuel E. L. Oliveira, Victor Diniz, Anísio Lacerda, ACM Transactions on Intelligent Systems and Technology Ranking AlgorithmEngineeringLearning To RankRank Aggregation MethodsInformation Retrieval	2020	28
Explaining Symbolic Regression Predictions Renato Miranda Filho, Anísio Lacerda, Gisele L. Pappa Artificial IntelligenceEngineeringMachine LearningMachine Learning ToolRegression Analysis	2020	24
Multimodal data fusion framework based on autoencoders for top-N recommender systems Felipe L. A. Conceiç ao, Flávio Luis Cardeal Pádua, Anísio Lacerda, Applied Intelligence Artificial IntelligenceEngineeringInformation RetrievalMachine LearningData Science	2019	22
Detecting collaboration profiles in success-based music genre networks Gabriel P. Oliveira, Mariana Santos, Danilo B. Seufitelli, Zenodo (CERN European Organization for Nuclear Research)	2020	19

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