Seuraa
Fabrício Enembreck
Nimike
Viittaukset
Viittaukset
Vuosi
Adaptive random forests for evolving data stream classification
HM Gomes, A Bifet, J Read, JP Barddal, F Enembreck, B Pfharinger, ...
Machine Learning 106, 1469-1495, 2017
6572017
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
5512017
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
1122017
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
912015
Distributed constraint optimization problems: Review and perspectives
AR Leite, F Enembreck, JPA Barthes
Expert Systems with Applications 41 (11), 5139-5157, 2014
582014
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
522018
On dynamic feature weighting for feature drifting data streams
JP Barddal, H Murilo Gomes, F Enembreck, B Pfahringer, A Bifet
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016
452016
Lessons learned from data stream classification applied to credit scoring
JP Barddal, L Loezer, F Enembreck, R Lanzuolo
Expert Systems with Applications 162, 113899, 2020
442020
Personal assistant to improve CSCW
F Enembreck, JP Barthes
The 7th International Conference on Computer Supported Cooperative Work in …, 2002
422002
Boosting decision stumps for dynamic feature selection on data streams
JP Barddal, F Enembreck, HM Gomes, A Bifet, B Pfahringer
Information Systems 83, 13-29, 2019
332019
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
332015
Improving credit risk prediction in online peer-to-peer (p2p) lending using imbalanced learning techniques
LEB Ferreira, JP Barddal, HM Gomes, F Enembreck
2017 IEEE 29th International Conference on Tools with Artificial …, 2017
322017
Generating action plans for poultry management using artificial neural networks
R Ribeiro, D Casanova, M Teixeira, A Wirth, HM Gomes, AP Borges, ...
Computers and Electronics in Agriculture 161, 131-140, 2019
312019
A survey on feature drift adaptation
JP Barddal, HM Gomes, F Enembreck
2015 IEEE 27th International Conference on Tools with Artificial …, 2015
312015
Merit-guided dynamic feature selection filter for data streams
JP Barddal, F Enembreck, HM Gomes, A Bifet, B Pfahringer
Expert Systems with Applications 116, 227-242, 2019
302019
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
292016
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
282007
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
262014
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
262014
Cost-sensitive learning for imbalanced data streams
L Loezer, F Enembreck, JP Barddal, A de Souza Britto Jr
Proceedings of the 35th annual ACM symposium on applied computing, 498-504, 2020
252020
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
Artikkelit 1–20