| 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 | 296 | 2022 |
| FAHT: An Adaptive Fairness-aware Decision Tree Classifier W Zhang, E Ntoutsi The 28th International Joint Conference on Artificial Intelligence (IJCAI …, 2019 | 124 | 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 | 97 | 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 | 70 | 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 | 64 | 2021 |
| Longitudinal Fairness with Censorship W Zhang, JC Weiss Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12235 …, 2022 | 62 | 2022 |
| Fair Decision-making under Uncertainty W Zhang, JC Weiss 2021 IEEE International Conference on Data Mining (ICDM), 886-895, 2021 | 52 | 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 | 50 | 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 | 50 | 2016 |
| A Hybrid Learning Framework for Imbalanced Stream Classification W Zhang, J Wang 2017 IEEE International Congress on Big Data (BigData Congress), 480-487, 2017 | 39 | 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 | 37 | 2016 |
| Fairness amidst non‐IID graph data: A literature review W Zhang, S Zhou, T Walsh, JC Weiss AI Magazine 46 (1), e12212, 2025 | 35 | 2025 |
| 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 | 35 | 2021 |
| Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking Z Wang, Y Zhou, I Haque, D Lo, W Zhang arXiv preprint arXiv:2302.08018, 2023 | 30 | 2023 |
| 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 | 30 | 2020 |
| FEAT: A Fairness-enhancing and Concept-adapting Decision Tree Classifier W Zhang, A Bifet The 23rd International Conference on Discovery Science, 175-189, 2020 | 30 | 2020 |
| Censored fairness through awareness W Zhang, T Hernandez-Boussard, J Weiss Proceedings of the AAAI conference on artificial intelligence 37 (12), 14611 …, 2023 | 29 | 2023 |
| Fairness with censorship and group constraints W Zhang, JC Weiss Knowledge and Information Systems 65 (6), 2571-2594, 2023 | 29 | 2023 |
| 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 | 28 | 2019 |
| Fairness in large language models: A taxonomic survey Z Chu, Z Wang, W Zhang ACM SIGKDD explorations newsletter 26 (1), 34-48, 2024 | 27 | 2024 |
Zichong WangFlorida International UniversityDirección de correo verificada de fiu.edu