| 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 | 218 | 2022 |
| FAHT: An Adaptive Fairness-aware Decision Tree Classifier W Zhang, E Ntoutsi The 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019 | 106 | 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 | 77 | 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 | 59 | 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 | 53 | 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 | 47 | 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 | 47 | 2016 |
| Longitudinal Fairness with Censorship W Zhang, JC Weiss Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12235 …, 2022 | 45 | 2022 |
| Fairness Amidst Non-IID Graph Data: Current Achievements and Future Directions W Zhang, S Zhou, T Walsh, JC Weiss arXiv preprint arXiv:2202.07170, 2022 | 43* | 2022 |
| Fair Decision-making under Uncertainty W Zhang, JC Weiss 2021 IEEE International Conference on Data Mining (ICDM), 886-895, 2021 | 41 | 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 | 36 | 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 | 34 | 2016 |
| 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 | 28 | 2021 |
| 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 | 28 | 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 | 24 | 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 | 24 | 2019 |
| Content-bootstrapped collaborative filtering for medical article recommendations W Zhang, J Wang 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018 | 23 | 2018 |
| 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 | 21 | 2020 |
| 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 | 20 | 2020 |
| Censored fairness through awareness W Zhang, T Hernandez-Boussard, J Weiss Proceedings of the AAAI conference on artificial intelligence 37 (12), 14611 …, 2023 | 19 | 2023 |
Jeremy C WeissInvestigator, National Library of Medicine, National Institutes of HealthDirección de correo verificada de nih.gov
