Wenbin Zhang
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A Survey on Datasets for Fairness‐aware Machine Learning
T Le Quy, A Roy, V Iosifidis, W Zhang, E Ntoutsi
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 12 (3 …, 2022
FAHT: An Adaptive Fairness-aware Decision Tree Classifier
W Zhang, E Ntoutsi
The 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019
LSTM based Sentiment Analysis for Cryptocurrency Prediction
X Huang, W Zhang, X Tang, M Zhang, J Surbiryala, V Iosifidis, Z Liu, ...
The 26th International Conference on Database Systems for Advanced …, 2021
Research on unsupervised feature learning for Android malware detection based on Restricted Boltzmann Machines
Z Liu, R Wang, N Japkowicz, D Tang, W Zhang, J Zhao
Future Generation Computer Systems, 2021
FARF: A Fair and Adaptive Random Forests Classifier
W Zhang, A Bifet, X Zhang, JC Weiss, W Nejdl
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 245-256, 2021
A Deterministic Self-organizing Map Approach and its Application on Satellite Data based Cloud Type Classification
W Zhang, J Wang, D Jin, L Oreopoulos, Z Zhang
2018 IEEE International Conference on Big Data (Big Data), 2018
Wearable Sensor based Human Posture Recognition
J Wang, Z Huang, W Zhang, A Patil, K Patil, T Zhu, EJ Shiroma, ...
2016 IEEE International Conference on Big Data (Big Data), 2016
Longitudinal Fairness with Censorship
W Zhang, JC Weiss
Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12235 …, 2022
Fairness Amidst Non-IID Graph Data: Current Achievements and Future Directions
W Zhang, S Pan, S Zhou, T Walsh, JC Weiss
arXiv preprint arXiv:2202.07170, 2022
Fair Decision-making under Uncertainty
W Zhang, JC Weiss
2021 IEEE International Conference on Data Mining (ICDM), 886-895, 2021
A Hybrid Learning Framework for Imbalanced Stream Classification
W Zhang, J Wang
2017 IEEE International Congress on Big Data (BigData Congress), 480-487, 2017
Using the Machine Learning Approach to Predict Patient Survival from High-dimensional Survival Data
W Zhang, J Tang, N Wang
2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016
Using Machine Learning to Automate Mammogram Image Analysis
X Tang, L Zhang, W Zhang, X Huang, V Iosifidis, Z Liu, M Zhang, ...
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020
Disentangled Dynamic Graph Deep Generation
W Zhang, L Zhang, D Pfoser, L Zhao
Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021
FEAT: A Fairness-enhancing and Concept-adapting Decision Tree Classifier
W Zhang, A Bifet
The 23rd International Conference on Discovery Science, 175-189, 2020
On Fairness-aware Learning for Non-discriminative Decision-making
W Zhang, X Tang, J Wang
2019 International Conference on Data Mining Workshops (ICDMW), 1072-1079, 2019
Flexible and Adaptive Fairness-aware Learning in Non-stationary Data Streams
W Zhang, M Zhang, J Zhang, Z Liu, Z Chen, J Wang, E Raff, E Messina
The 32nd International Conference on Tools with Artificial Intelligence …, 2020
Content-bootstrapped Collaborative Filtering for Medical Article Recommendations
W Zhang, J Wang
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018
Deep Discriminative Learning for Autism Spectrum Disorder Classification
M Zhang, X Zhao, W Zhang, A Chaddad, A Evans, JB Poline
The 31st International Conference on Database and Expert Systems …, 2020
Censored fairness through awareness
W Zhang, T Hernandez-Boussard, J Weiss
Proceedings of the AAAI conference on artificial intelligence 37 (12), 14611 …, 2023
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