Boyu Wang
Geciteerd door
Geciteerd door
Online bagging and boosting for imbalanced data streams
B Wang, J Pineau
IEEE Transactions on Knowledge and Data Engineering 28 (12), 3353-3366, 2016
Deep active learning: Unified and principled method for query and training
C Shui, F Zhou, C Gagné, B Wang
International Conference on Artificial Intelligence and Statistics, 1308-1318, 2020
Multiple kernel learning-based transfer regression for electric load forecasting
D Wu, B Wang, D Precup, B Boulet
IEEE Transactions on Smart Grid 11 (2), 1183-1192, 2019
Learning across multi-stimulus enhances target recognition methods in SSVEP-based BCIs
CM Wong, F Wan, B Wang, Z Wang, W Nan, KF Lao, PU Mak, MI Vai, ...
Journal of neural engineering 17 (1), 016026, 2020
Spatial filtering in SSVEP-based BCIs: Unified framework and new improvements
CM Wong, B Wang, Z Wang, KF Lao, A Rosa, F Wan
IEEE Transactions on Biomedical Engineering 67 (11), 3057-3072, 2020
Multi-view subspace clustering via partition fusion
J Lv, Z Kang, B Wang, L Ji, Z Xu
Information Sciences 560, 410-423, 2021
Targeted memory reactivation during sleep elicits neural signals related to learning content
B Wang, JW Antony, S Lurie, PP Brooks, KA Paller, KA Norman
Journal of Neuroscience 39 (34), 6728-6736, 2019
A comparison of minimum energy combination and canonical correlation analysis for SSVEP detection
W Nan, CM Wong, B Wang, F Wan, PU Mak, PI Mak, MI Vai
2011 5th International IEEE/EMBS Conference on Neural Engineering, 469-472, 2011
Inter-and intra-subject transfer reduces calibration effort for high-speed SSVEP-based BCIs
CM Wong, Z Wang, B Wang, KF Lao, A Rosa, P Xu, TP Jung, CLP Chen, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 28 (10 …, 2020
A principled approach for learning task similarity in multitask learning
C Shui, M Abbasi, LÉ Robitaille, B Wang, C Gagné
arXiv preprint arXiv:1903.09109, 2019
Transfer learning via minimizing the performance gap between domains
B Wang, J Mendez, M Cai, E Eaton
Advances in neural information processing systems 32, 2019
Clustering with similarity preserving
Z Kang, H Xu, B Wang, H Zhu, Z Xu
Neurocomputing 365, 211-218, 2019
Domain generalization with optimal transport and metric learning
F Zhou, Z Jiang, C Shui, B Wang, B Chaib-draa
arXiv preprint arXiv:2007.10573 2, 2020
Common spatial pattern reformulated for regularizations in brain–computer interfaces
B Wang, CM Wong, Z Kang, F Liu, C Shui, F Wan, CLP Chen
IEEE transactions on cybernetics 51 (10), 5008-5020, 2020
Comparison of different classification methods for EEG-based brain computer interfaces: a case study
B Wang, CM Wong, F Wan, PU Mak, PI Mak, MI Vai
2009 International Conference on Information and Automation, 1416-1421, 2009
Domain generalization via optimal transport with metric similarity learning
F Zhou, Z Jiang, C Shui, B Wang, B Chaib-draa
Neurocomputing 456, 469-480, 2021
On learning contrastive representations for learning with noisy labels
L Yi, S Liu, Q She, AI McLeod, B Wang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
Online boosting algorithms for anytime transfer and multitask learning
B Wang, J Pineau
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
Imputation-based ensemble techniques for class imbalance learning
R Razavi-Far, M Farajzadeh-Zanajni, B Wang, M Saif, S Chakrabarti
IEEE Transactions on Knowledge and Data Engineering 33 (5), 1988-2001, 2019
Beyond H-divergence: Domain adaptation theory with jensen-shannon divergence
C Shui, Q Chen, J Wen, F Zhou, C Gagné, B Wang
arXiv preprint arXiv:2007.15567 6, 2020
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