دنبال کردن
Jean Paul Barddal
Jean Paul Barddal
Programa de Pós-Graduação em Informática (PPGIa), Pontifícia Universidade Católica do Paraná (PUCPR)
ایمیل تأیید شده در ppgia.pucpr.br - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
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
8082017
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
6652017
Machine learning for streaming data: state of the art, challenges, and opportunities‏
HM Gomes, J Read, A Bifet, JP Barddal, J Gama‏
ACM SIGKDD Explorations Newsletter 21 (2), 6-22, 2019‏
3142019
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
1302017
A survey on concept drift in process mining‏
DMV Sato, SC De Freitas, JP Barddal, EE Scalabrin‏
ACM Computing Surveys (CSUR) 54 (9), 1-38, 2021‏
1072021
Adaptive random forests for data stream regression.‏
HM Gomes, JP Barddal, LEB Ferreira, A Bifet‏
ESANN, 2018‏
742018
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
512020
A systematic review on computer vision-based parking lot management applied on public datasets‏
PRL de Almeida, JH Alves, RS Parpinelli, JP Barddal‏
Expert Systems with Applications 198, 116731, 2022‏
422022
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
422016
An explainable machine learning approach for student dropout prediction‏
JGC Krüger, A de Souza Britto Jr, JP Barddal‏
Expert Systems with Applications 233, 120933, 2023‏
402023
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
402017
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
392019
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
392019
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
392015
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
342020
A survey on feature drift adaptation‏
JP Barddal, HM Gomes, F Enembreck‏
2015 IEEE 27th International Conference on Tools with Artificial …, 2015‏
332015
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
292014
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
242016
A case study of batch and incremental recommender systems in supermarket data under concept drifts and cold start‏
AD Viniski, JP Barddal, A de Souza Britto Jr, F Enembreck, ...‏
Expert Systems with Applications 176, 114890, 2021‏
232021
Analyzing the impact of feature drifts in streaming learning‏
JP Barddal, HM Gomes, F Enembreck‏
Neural Information Processing: 22nd International Conference, ICONIP 2015 …, 2015‏
232015
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–20