| Time series classification with multivariate convolutional neural network CL Liu, WH Hsaio, YC Tu IEEE Transactions on industrial electronics 66 (6), 4788-4797, 2018 | 281 | 2018 |
| A fall detection system using k-nearest neighbor classifier CL Liu, CH Lee, PM Lin Expert systems with applications 37 (10), 7174-7181, 2010 | 237 | 2010 |
| Actor-critic deep reinforcement learning for solving job shop scheduling problems CL Liu, CC Chang, CJ Tseng Ieee Access 8, 71752-71762, 2020 | 187 | 2020 |
| Movie rating and review summarization in mobile environment CL Liu, WH Hsaio, CH Lee, GC Lu, E Jou IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2011 | 181 | 2011 |
| Understanding digital transformation in advanced manufacturing and engineering: A bibliometric analysis, topic modeling and research trend discovery CH Lee, CL Liu, AJC Trappey, JPT Mo, KC Desouza Advanced Engineering Informatics 50, 101428, 2021 | 88 | 2021 |
| Epileptic seizure prediction with multi-view convolutional neural networks CL Liu, B Xiao, WH Hsaio, VS Tseng IEEE access 7, 170352-170361, 2019 | 85 | 2019 |
| Semi-supervised text classification with universum learning CL Liu, WH Hsaio, CH Lee, TH Chang, TH Kuo IEEE transactions on cybernetics 46 (2), 462-473, 2015 | 80 | 2015 |
| An unsupervised automated essay-scoring system YY Chen, CL Liu, CH Lee, TH Chang IEEE Intelligent systems 25 (5), 61-67, 2010 | 71 | 2010 |
| Deep 3d convolutional neural network architectures for alzheimer’s disease diagnosis H Karasawa, CL Liu, H Ohwada Intelligent Information and Database Systems: 10th Asian Conference, ACIIDS …, 2018 | 66 | 2018 |
| Model-based synthetic sampling for imbalanced data CL Liu, PY Hsieh IEEE Transactions on Knowledge and Data Engineering 32 (8), 1543-1556, 2019 | 60 | 2019 |
| Predicting short-term survival after liver transplantation using machine learning CL Liu, RS Soong, WC Lee, GW Jiang, YC Lin Scientific reports 10 (1), 5654, 2020 | 43 | 2020 |
| Multivariate time series early classification with interpretability using deep learning and attention mechanism EY Hsu, CL Liu, VS Tseng Pacific-Asia Conference on Knowledge Discovery and Data Mining, 541-553, 2019 | 43 | 2019 |
| Semi-supervised linear discriminant clustering CL Liu, WH Hsaio, CH Lee, FS Gou IEEE Transactions on cybernetics 44 (7), 989-1000, 2013 | 42 | 2013 |
| Clustering documents with labeled and unlabeled documents using fuzzy semi-Kmeans CL Liu, TH Chang, HH Li Fuzzy Sets and Systems 221, 48-64, 2013 | 40 | 2013 |
| Background music recommendation based on latent factors and moods CL Liu, YC Chen Knowledge-Based Systems 159, 158-170, 2018 | 38 | 2018 |
| Multivariate time series early classification using multi-domain deep neural network HS Huang, CL Liu, VS Tseng 2018 IEEE 5th International Conference on Data Science and Advanced …, 2018 | 36 | 2018 |
| Large-scale recommender system with compact latent factor model CL Liu, XW Wu Expert Systems with Applications 64, 467-475, 2016 | 34 | 2016 |
| An HMM-based algorithm for content ranking and coherence-feature extraction CL Liu, WH Hsaio, CH Lee, HC Chi IEEE Transactions on Systems, Man, and Cybernetics: Systems 43 (2), 440-450, 2013 | 33 | 2013 |
| Machine learning model for risk prediction of community-acquired acute kidney injury hospitalization from electronic health records: development and validation study CN Hsu, CL Liu, YL Tain, CY Kuo, YC Lin Journal of Medical Internet Research 22 (8), e16903, 2020 | 30 | 2020 |
| A deep learning–enabled electrocardiogram model for the identification of a rare inherited arrhythmia: Brugada syndrome CM Liu, CL Liu, KW Hu, VS Tseng, SL Chang, YJ Lin, LW Lo, FP Chung, ... Canadian Journal of Cardiology 38 (2), 152-159, 2022 | 26 | 2022 |
