Fabrício Enembreck - Concepedia

Author

Fabrício Enembreck

Pontifícia Universidade Católica do Paraná ORCID

Also Known As

Enembreck, Fabrício, F. Enembreck, FABRÍCIO ENEMBRECK, Fabrcio Enembreck, Fabricio Enembreck, Fabrício Enembreck, Fabríco Enembreck, Fabrı´cio Enembreck, Fabr�cio Enembreck

156

Publications

2.6K

Citations

H-Index

102

Concepts

All Affiliations

Pontifícia Universidade Católica do Paraná Télécom Paris Universidade Federal do Paraná University of Waikato Laboratoire Traitement et Communication de l’Information

About

Fabrício Enembreck is an author at Pontifícia Universidade Católica do Paraná specializing in engineering, computer science, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	18	35	1.6K
2	Business	8	8	167
3	Management	7	7	871
4	Education	3	3	53
5	Accounting	1	1	46

Fabrício Enembreck

Publications

1.6K

Citations

H-Index

Page 1

	Year	Citations
Adaptive random forests for evolving data stream classification Heitor Murilo Gomes, Albert Bifet, Jesse Read, Machine Learning EngineeringMachine LearningData ScienceData MiningPattern Recognition	2017	728
A survey on feature drift adaptation: Definition, benchmark, challenges and future directions Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck, Journal of Systems and Software Machine VisionMachine LearningData ScienceImage AnalysisPattern Recognition	2016	122
Distributed Constraint Optimization Problems: Review and perspectives Allan Rodrigo Leite, Fabrício Enembreck, Angéla Barthes Expert Systems with Applications EngineeringConstraint SatisfactionDistributed OptimizationDistributed Constraint OptimizationComputer Science	2014	58
A framework for dynamic classifier selection oriented by the classification problem difficulty André Brun, Alceu S. Britto, Luiz S. Oliveira, Pattern Recognition Artificial IntelligenceEngineeringMachine LearningIntelligent SystemsDynamic Classifier Selection	2017	49
Generating action plans for poultry management using artificial neural networks Richardson Ribeiro, Dalcimar Casanova, Marcelo Teixeira, Computers and Electronics in Agriculture Artificial IntelligenceEngineeringMachine LearningAi PlanningPoultry Management	2018	47
Lessons learned from data stream classification applied to credit scoring Jean Paul Barddal, Lucas Loezer, Fabrício Enembreck, Expert Systems with Applications EngineeringMachine LearningBusiness IntelligenceCredit ScoreText Mining	2020	46
Merit-guided dynamic feature selection filter for data streams Jean Paul Barddal, Fabrício Enembreck, Heitor Murilo Gomes, Expert Systems with Applications EngineeringMachine LearningData ScienceData MiningPattern Recognition	2018	38
Boosting decision stumps for dynamic feature selection on data streams Jean Paul Barddal, Fabrício Enembreck, Heitor Murilo Gomes, Information Systems EngineeringMachine LearningData ScienceData MiningPattern Recognition	2019	35
Cost-sensitive learning for imbalanced data streams Lucas Loezer, Fabrício Enembreck, Jean Paul Barddal, EngineeringMachine LearningAdaptive Random ForestClassification TaskImbalanced Data Streams	2020	32
Contribution of data complexity features on dynamic classifier selection André Brun, Alceu S. Britto, Luiz S. Oliveira, Artificial IntelligenceEngineeringMachine LearningFeature SelectionComputational Complexity	2016	28

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