متابعة
Heitor Murilo Gomes
Heitor Murilo Gomes
Senior Lecturer in AI, Victoria University of Wellington
بريد إلكتروني تم التحقق منه على vuw.ac.nz - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
8012017
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
6682017
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
3122019
River: machine learning for streaming data in python‏
J Montiel, M Halford, SM Mastelini, G Bolmier, R Sourty, R Vaysse, ...‏
Journal of Machine Learning Research 22 (110), 1-8, 2021‏
2912021
Streaming random patches for evolving data stream classification‏
HM Gomes, J Read, A Bifet‏
2019 IEEE international conference on data mining (ICDM), 240-249, 2019‏
1482019
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
1282017
Data stream analysis: Foundations, major tasks and tools‏
M Bahri, A Bifet, J Gama, HM Gomes, S Maniu‏
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, e1405, 2021‏
1232021
Adaptive random forests for data stream regression.‏
HM Gomes, JP Barddal, LEB Ferreira, A Bifet‏
ESANN, 2018‏
742018
Adaptive random forests with resampling for imbalanced data streams‏
LEB Ferreira, HM Gomes, A Bifet, LS Oliveira‏
2019 International Joint Conference on Neural Networks (IJCNN), 1-6, 2019‏
562019
A survey on semi-supervised learning for delayed partially labelled data streams‏
HM Gomes, M Grzenda, R Mello, J Read, MH Le Nguyen, A Bifet‏
ACM Computing Surveys 55 (4), 1-42, 2022‏
522022
Shallow security: On the creation of adversarial variants to evade machine learning-based malware detectors‏
F Ceschin, M Botacin, HM Gomes, LS Oliveira, A Grégio‏
Proceedings of the 3rd Reversing and Offensive-oriented Trends Symposium, 1-9, 2019‏
522019
C-smote: Continuous synthetic minority oversampling for evolving data streams‏
A Bernardo, HM Gomes, J Montiel, B Pfahringer, A Bifet, E Della Valle‏
2020 IEEE International Conference on Big Data (Big Data), 483-492, 2020‏
482020
Delayed labelling evaluation for data streams‏
M Grzenda, HM Gomes, A Bifet‏
Data Mining and Knowledge Discovery 34 (5), 1237-1266, 2020‏
442020
J. a. Gama,“‏
HM Gomes, J Read, A Bifet, JP Barddal‏
Machine learning for streaming data: State of the art, challenges, and …, 2019‏
432019
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
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
412019
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
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
STUDD: a student–teacher method for unsupervised concept drift detection‏
V Cerqueira, HM Gomes, A Bifet, L Torgo‏
Machine Learning 112 (11), 4351-4378, 2023‏
372023
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مقالات 1–20