Fabrício Enembreck
Title
Cited by
Cited by
Year
Adaptive random forests for evolving data stream classification
HM Gomes, A Bifet, J Read, JP Barddal, F Enembreck, B Pfharinger, ...
Machine Learning 106 (9), 1469-1495, 2017
3192017
A survey on ensemble learning for data stream classification
HM Gomes, JP Barddal, F Enembreck, A Bifet
ACM Computing Surveys (CSUR) 50 (2), 1-36, 2017
3102017
A survey on feature drift adaptation: Definition, benchmark, challenges and future directions
JP Barddal, HM Gomes, F Enembreck, B Pfahringer
Journal of Systems and Software 127, 278-294, 2017
662017
Trust and reputation models for multiagent systems
J Granatyr, V Botelho, OR Lessing, EE Scalabrin, JP Barthès, ...
ACM Computing Surveys (CSUR) 48 (2), 1-42, 2015
652015
Distributed constraint optimization problems: Review and perspectives
AR Leite, F Enembreck, JPA Barthes
Expert Systems with Applications 41 (11), 5139-5157, 2014
492014
Personal assistant to improve CSCW
F Enembreck, JP Barthes
The 7th International Conference on Computer Supported Cooperative Work in …, 2002
392002
Web image classification based on the fusion of image and text classifiers
P Kalva, F Enembreck, A Koerich
Ninth International Conference on Document Analysis and Recognition (ICDAR …, 2007
272007
A framework for dynamic classifier selection oriented by the classification problem difficulty
AL Brun, AS Britto Jr, LS Oliveira, F Enembreck, R Sabourin
Pattern Recognition 76, 175-190, 2018
262018
On dynamic feature weighting for feature drifting data streams
JP Barddal, HM Gomes, F Enembreck, B Pfahringer, A Bifet
Joint european conference on machine learning and knowledge discovery in …, 2016
262016
SNCStream: A social network-based data stream clustering algorithm
JP Barddal, HM Gomes, F Enembreck
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 935-940, 2015
232015
SFNClassifier: A scale-free social network method to handle concept drift
JP Barddal, HM Gomes, F Enembreck
Proceedings of the 29th Annual ACM Symposium on Applied Computing, 786-791, 2014
232014
SAE2: advances on the social adaptive ensemble classifier for data streams
HM Gomes, F Enembreck
Proceedings of the 29th annual ACM symposium on applied computing, 798-804, 2014
232014
Interaction Models for Multiagent Reinforcement Learning
R Ribeiro, AP Borges, F Enembreck
Computational Intelligence for Modelling Control & Automation, 2008 …, 2008
232008
Agents for collaborative filtering
F Enembreck, JP Barthès
Cooperative Information Agents VII, 184-191, 2003
212003
A survey on feature drift adaptation
JP Barddal, HM Gomes, F Enembreck
2015 IEEE 27th International Conference on Tools with Artificial …, 2015
202015
Contribution à la conception d'agents assistants personnels adaptatifs
F Enembreck
182003
SNCStream+: Extending a high quality true anytime data stream clustering algorithm
JP Barddal, HM Gomes, F Enembreck, JP Barthès
Information Systems 62, 60-73, 2016
172016
Contribution of data complexity features on dynamic classifier selection
AL Brun, AS Britto, LS Oliveira, F Enembreck, R Sabourin
2016 International Joint Conference on Neural Networks (IJCNN), 4396-4403, 2016
172016
Analyzing the impact of feature drifts in streaming learning
JP Barddal, HM Gomes, F Enembreck
International Conference on Neural Information Processing, 21-28, 2015
172015
ELA-A new Approach for Learning Agents
E Fabricio, B Jean-Paul
Autonomous Agents and Multi-Agent Systems 10 (3), 215-248, 2005
17*2005
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Articles 1–20