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ORCIDFabrício Enembreck
- > Home > Persons > Fabrício Enembreck
Publications
- 2024
[c90]Daniel Nowak Assis
, Jean Paul Barddal, Fabrício Enembreck:
Just Change on Change: Adaptive Splitting Time for Decision Trees in Data Stream Classification. SAC 2024: 351-357- 2023
- [c89]Daniel Nowak Assis, Fabrício Enembreck, Jean Paul Barddal:
Mass-Based Short Term Selection of Classifiers in Data Streams. IJCNN 2023: 1-8 - [i2]Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck:
Advances on Concept Drift Detection in Regression Tasks using Social Networks Theory. CoRR abs/2304.09788 (2023) - 2022
- [c87]Marcos Alberto Mochinski, Jean Paul Barddal, Fabrício Enembreck:
Univariate Time Series Prediction using Data Stream Mining Algorithms and Temporal Dependence. ICAART (2) 2022: 398-408 - 2021
- [j31]Antônio David Viniski, Jean Paul Barddal, Alceu de Souza Britto Jr., Fabrício Enembreck, Humberto Vinicius Aparecido de Campos:
A case study of batch and incremental recommender systems in supermarket data under concept drifts and cold start. Expert Syst. Appl. 176: 114890 (2021) - 2020
- [j30]Jean Paul Barddal, Fabrício Enembreck:
Regularized and incremental decision trees for data streams. Ann. des Télécommunications 75(9-10): 493-503 (2020) - [j28]Jean Paul Barddal, Lucas Loezer, Fabrício Enembreck, Riccardo Lanzuolo:
Lessons learned from data stream classification applied to credit scoring. Expert Syst. Appl. 162: 113899 (2020) - [c85]Lucas Loezer, Fabrício Enembreck, Jean Paul Barddal, Alceu de Souza Britto Jr.:
Cost-sensitive learning for imbalanced data streams. SAC 2020: 498-504 - [c83]Marcos Alberto Mochinski, Jean Paul Barddal, Fabrício Enembreck:
Improving Multiple Time Series Forecasting with Data Stream Mining Algorithms. SMC 2020: 1060-1067 - [c82]Jean Paul Barddal, Fabrício Enembreck, Lucas Loezer, Riccardo Lanzuolo:
Combining Slow and Fast Learning for Improved Credit Scoring. SMC 2020: 1149-1154 - [c81]Eduardo Ferreira José, Fabrício Enembreck, Jean Paul Barddal:
ADADRIFT: An Adaptive Learning Technique for Long-history Stream-based Recommender Systems. SMC 2020: 2593-2600 - 2019
- [j25]Jean Paul Barddal, Fabrício Enembreck, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer:
Merit-guided dynamic feature selection filter for data streams. Expert Syst. Appl. 116: 227-242 (2019) - [j24]Jean Paul Barddal, Fabrício Enembreck, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer:
Boosting decision stumps for dynamic feature selection on data streams. Inf. Syst. 83: 13-29 (2019) - [j22]Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem:
Correction to: Adaptive random forests for evolving data stream classification. Mach. Learn. 108(10): 1877-1878 (2019) - [c79]Jean Paul Barddal, Fabrício Enembreck:
Learning regularized hoeffding trees from data streams. SAC 2019: 574-581 - 2018
- [c77]Luis Eduardo Boiko Ferreira, Jean Paul Barddal, Fabrício Enembreck, Heitor Murilo Gomes:
An Experimental Perspective on Sampling Methods for Imbalanced Learning From Financial Databases. IJCNN 2018: 1-6 - 2017
- [j20]Heitor Murilo Gomes, Jean Paul Barddal, Fabrício Enembreck, Albert Bifet:
A Survey on Ensemble Learning for Data Stream Classification. ACM Comput. Surv. 50(2): 23:1-23:36 (2017) - [j18]Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck, Bernhard Pfahringer:
A survey on feature drift adaptation: Definition, benchmark, challenges and future directions. J. Syst. Softw. 127: 278-294 (2017) - [j17]Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem:
Adaptive random forests for evolving data stream classification. Mach. Learn. 106(9-10): 1469-1495 (2017) - [c75]Luis Eduardo Boiko Ferreira, Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck:
Improving Credit Risk Prediction in Online Peer-to-Peer (P2P) Lending Using Imbalanced Learning Techniques. ICTAI 2017: 175-181 - 2016
- [j16]Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck, Jean-Paul A. Barthès:
SNCStream+: Extending a high quality true anytime data stream clustering algorithm. Inf. Syst. 62: 60-73 (2016) - [c67]Jean Paul Barddal, Heitor Murilo Gomes, Alceu de Souza Britto Jr., Fabrício Enembreck:
A benchmark of classifiers on feature drifting data streams. ICPR 2016: 2180-2185 - [c66]Jean Paul Barddal, Heitor Murilo Gomes, Jones Granatyr, Alceu de Souza Britto Jr., Fabrício Enembreck:
Overcoming feature drifts via dynamic feature weighted k-nearest neighbor learning. ICPR 2016: 2186-2191 - [c65]Jones Granatyr, Jean Paul Barddal, Adriano Weihmayer Almeida, Fabrício Enembreck, Adaiane Pereira dos Santos Granatyr:
Towards emotion-based reputation guessing learning agents. IJCNN 2016: 3801-3808 - [c63]Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck, Bernhard Pfahringer, Albert Bifet:
On Dynamic Feature Weighting for Feature Drifting Data Streams. ECML/PKDD (2) 2016: 129-144 - 2015
- [j14]Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck:
Advances on Concept Drift Detection in Regression Tasks Using Social Networks Theory. Int. J. Nat. Comput. Res. 5(1): 26-41 (2015) - [c59]Anderson José de Souza, André Pinz Borges, Heitor Murilo Gomes, Jean Paul Barddal, Fabrício Enembreck:
Applying Ensemble-based Online Learning Techniques on Crime Forecasting. ICEIS (1) 2015: 17-24 - [c56]Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck:
Analyzing the Impact of Feature Drifts in Streaming Learning. ICONIP (1) 2015: 21-28 - [c55]Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck:
A Complex Network-Based Anytime Data Stream Clustering Algorithm. ICONIP (1) 2015: 615-622 - [c54]Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck:
A Survey on Feature Drift Adaptation. ICTAI 2015: 1053-1060 - [c52]Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck:
SNCStream: a social network-based data stream clustering algorithm. SAC 2015: 935-940 - [c51]Heitor Murilo Gomes, Jean Paul Barddal, Fabrício Enembreck:
Pairwise combination of classifiers for ensemble learning on data streams. SAC 2015: 941-946 - 2014
- [c48]Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck:
SFNClassifier: a scale-free social network method to handle concept drift. SAC 2014: 786-791
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last updated on 2024-08-05 21:14 CEST by the dblp team
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