| Consumer preference analysis: A data-driven multiple criteria approach integrating online information M Guo, X Liao, J Liu, Q Zhang Omega 96, 102074, 2020 | 63 | 2020 |
| A hybrid machine learning framework for analyzing human decision-making through learning preferences M Guo, Q Zhang, X Liao, FY Chen, DD Zeng Omega 101, 102263, 2021 | 44 | 2021 |
| A progressive sorting approach for multiple criteria decision aiding in the presence of non-monotonic preferences M Guo, X Liao, J Liu Expert Systems with Applications 123, 1-17, 2019 | 30 | 2019 |
| An interpretable machine learning framework for modelling human decision behavior M Guo, Q Zhang, X Liao, Y Chen arXiv preprint arXiv:1906.01233, 2019 | 14 | 2019 |
| Summarizing product aspects from massive online review with word representation K Ye, L Li, M Guo, Y Qian, H Yuan Knowledge Science, Engineering and Management: 8th International Conference …, 2015 | 10 | 2015 |
| Age-related changes in the risk of high blood pressure W Cheng, Y Du, Q Zhang, X Wang, C He, J He, F Jing, H Ren, M Guo, ... Frontiers in cardiovascular medicine 9, 939103, 2022 | 9 | 2022 |
| An interpretable neural network model through piecewise linear approximation M Guo, Q Zhang, X Liao, DD Zeng arXiv preprint arXiv:2001.07119, 2020 | 7 | 2020 |
| Deciphering feature effects on decision-making in ordinal regression problems: an explainable ordinal factorization model M Guo, Z Xu, Q Zhang, X Liao, J Liu ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (3), 1-26, 2021 | 4 | 2021 |
| A new method for rare feature extraction in patent documents M Guo, H Yuan, Y Qian 2016 13th International conference on service systems and service management …, 2016 | 4 | 2016 |
| An actor-critic reinforcement learning model for optimal bidding in online display advertising C Yuan, M Guo, C Xiang, S Wang, G Song, Q Zhang Proceedings of the 31st ACM International Conference on Information …, 2022 | 1 | 2022 |
