| Explainable Tensor Multi-Task Ensemble Learning Based on Brain Structure Variation for Alzheimer’s Disease Dynamic Prediction Y Zhang, T Liu, V Lanfranchi, P Yang IEEE Journal of Translational Engineering in Health and Medicine 11, 1-12, 2022 | 14 | 2022 |
| Multi-task Learning with Adaptive Global Temporal Structure for Predicting Alzheimer's Disease Progression M Zhou, Y Zhang, T Liu, Y Yang, P Yang Proceedings of the 31st ACM International Conference on Information …, 2022 | 13 | 2022 |
| Tensor multi-task learning for predicting alzheimer’s disease progression using MRI data with spatio-temporal similarity measurement Y Zhang, P Yang, V Lanfranchi 2021 IEEE 19th International Conference on Industrial Informatics (INDIN), 1-8, 2021 | 13 | 2021 |
| Sustainable fertilisation management via tensor multi-task learning using multi-dimensional agricultural data Y Zhang, X Wang, T Liu, R Wang, Y Li, Q Xue, P Yang Journal of Industrial Information Integration 34, 100461, 2023 | 9 | 2023 |
| Robust temporal smoothness in multi-task learning M Zhou, Y Zhang, Y Yang, T Liu, P Yang Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 11426 …, 2023 | 9 | 2023 |
| Modeling alzheimer’s disease progression via amalgamated magnitude-direction brain structure variation quantification and tensor multi-task learning Y Zhang, V Lanfranchi, X Wang, M Zhou, P Yang 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 8 | 2022 |
| Spatio-temporal Tensor Multi-Task Learning for Predicting Alzheimer's Disease in a Longitudinal study Y Zhang, M Zhou, T Liu, V Lanfranchi, P Yang 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 5 | 2022 |
| Modeling disease progression flexibly with nonlinear disease structure via multi-task learning M Zhou, X Wang, Y Yang, F Nan, Y Zhang, J Qi, P Yang 2021 17th International Conference on Mobility, Sensing and Networking (MSN …, 2021 | 5 | 2021 |
| Visual Analysis of Biomarkers Selected via Multi-Task Learning for Modeling Alzheimer's Disease Progression X Wang, G Bi, Y Zhang, J Qi, Y Yang, P Yang 2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2020 | 3 | 2020 |
| Efficient multi-task learning with adaptive temporal structure for progression prediction M Zhou, Y Zhang, T Liu, Y Yang, P Yang Neural Computing and Applications 35 (22), 16305-16320, 2023 | 2 | 2023 |
| Spatio-temporal similarity measure based multi-task learning for predicting alzheimer’s disease progression using mri data X Wang, Y Zhang, M Zhou, T Liu, J Qi, P Yang 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | 1 | 2023 |
| Randomized Multi-task Feature Learning Approach for Modelling and Predicting Alzheimer’s Disease Progression X Wang, Y Zhang, M Zhou, T Liu, Z Yuan, X Peng, K Liu, J Qi, P Yang International Workshop on Internet of Things of Big Data for Healthcare, 52-68, 2023 | 1 | 2023 |
| Spatio-temporal Tensor Multi-Task Learning for Precision Fertilisation with Real-world Agricultural Data Y Zhang, T Liu, Y Li, R Wang, H Huang, P Yang IECON 2022–48th Annual Conference of the IEEE Industrial Electronics Society …, 2022 | 1 | 2022 |
| Spatio-temporal Tensor Multi-Task Learning for Precision fertilization Y Zhang, T Liu, Y Li, R Wang, H Huang, P Yang 2021 20th International Conference on Ubiquitous Computing and …, 2021 | 1 | 2021 |
| Integrating Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer’s Disease Progression Prediction M Zhou, T Liu, X Wang, K Liu, Y Zhang, P Yang 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | | 2023 |
| Empirical Analysis of Regularised Multi-Task Learning for Modelling Alzheimer’s Disease Progression X Wang, M Zhou, Y Zhang, K Liu, J Qi, P Yang 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | | 2023 |
Po YangSheffield University在 sheffield.ac.uk 的电子邮件经过验证
