劉 建良

研究成果

每年研究成果 2002 2011 2016 2018 2019 2020 2022 2023

• 41 Article
• 13 Conference contribution
• 2 Conference article
• 1 Paper
• 2 更多
  • 1 Editorial
  • 1 Review article

每年研究成果

每年研究成果

搜尋結果

• 2023

  A multi-task learning model for building electrical load prediction

  Liu, C. L., Tseng, C. J., Huang, T. H., Yang, J. S. & Huang, K. B., 1 1月 2023, 於: Energy and Buildings. 278, 112601.

  研究成果: Article › 同行評審

  • Multi-task learning 100%
  • Electricity 34%
  • Deep learning 25%
  • Gas emissions 9%
  • Greenhouse gases 9%
  4 引文 斯高帕斯（Scopus）
• 2022

  A Deep LearningeEnabled Electrocardiogram Model for the Identification of a Rare Inherited Arrhythmia: Brugada Syndrome

  Liu, C. M., Liu, C-L., Hu, K. W., Tseng, V. S-M., Chang, S. L., Lin, Y. J., Lo, L. W., Chao, T. F., Tuan, T. C., Liao, J. N., Lin, C. Y., Chang, T. Y., Shen-Jang Fann, C., Higa, S., Higa, S., Hu, Y. F. & Chen, S. A., 2月 2022, 於: Canadian Journal of Cardiology. 38, 2, p. 152-159 8 p.

  研究成果: Article › 同行評審

  開啟存取

  • Brugada Syndrome 100%
  • Deep Learning 79%
  • Cardiac Arrhythmias 61%
  • Electrocardiography 59%
  • Cardiologists 32%

• A Deep Learning–Enabled Electrocardiogram Model for the Identification of a Rare Inherited Arrhythmia: Brugada Syndrome

  Liu, C. M., Liu, C. L., Hu, K. W., Tseng, V. S., Chang, S. L., Lin, Y. J., Lo, L. W., Chung, F. P., Chao, T. F., Tuan, T. C., Liao, J. N., Lin, C. Y., Chang, T. Y., Shen-Jang Fann, C., Higa, S., Yagi, N., Hu, Y. F. & Chen, S. A., 2月 2022, 於: Canadian Journal of Cardiology. 38, 2, p. 152-159 8 p.

  研究成果: Article › 同行評審

  • Brugada Syndrome 100%
  • Deep Learning 79%
  • Cardiac Arrhythmias 61%
  • Electrocardiography 59%
  • Cardiologists 32%
  10 引文 斯高帕斯（Scopus）

• Kidney Function Trajectory within Six Months after Acute Kidney Injury Inpatient Care and Subsequent Adverse Kidney Outcomes: A Retrospective Cohort Study

  Tain, Y. L., Liu, C-L., Kuo, H-C. & Hsu, C-N., 29 9月 2022, 於: Journal of Personalized Medicine. 12, 10, 1606.

  研究成果: Article › 同行評審

  開啟存取

  檔案

  • Acute Kidney Injury 100%
  • Inpatients 84%
  • Creatinine 83%
  • Cohort Studies 71%
  • Retrospective Studies 70%
  1 引文 斯高帕斯（Scopus）

• Learning From Imbalanced Data With Deep Density Hybrid Sampling

  Liu, C-L. & Chang, Y-H., 3月 2022, (Accepted/In press) 於: IEEE Transactions on Systems, Man, and Cybernetics: Systems. 13 p.

  研究成果: Article › 同行評審

  開啟存取

  • Sampling 100%
  • Machine learning 26%
  • Experiments 12%
  3 引文 斯高帕斯（Scopus）

• Predicting the Wafer Material Removal Rate for Semiconductor Chemical Mechanical Polishing Using a Fusion Network

  Liu, C. L., Tseng, C. J., Hsaio, W. H., Wu, S. H. & Lu, S. R., 11月 2022, 於: Applied Sciences (Switzerland). 12, 22, 11478.

  研究成果: Article › 同行評審

  開啟存取

  • Chemical mechanical polishing 100%
  • Polishing 88%
  • polishing 80%
  • machining 80%
  • Statistical Ensemble 76%
  2 引文 斯高帕斯（Scopus）

• Prediction and Clinically Important Factors of Acute Kidney Injury Non-recovery

  Liu, C-L., Tain, Y-L., Lin, Y-C. & Hsu, C-N., 1月 2022, 於: Frontiers in Medicine. 8, p. 789874 8 p.

  研究成果: Article › 同行評審

  開啟存取

  檔案

  • Acute Kidney Injury 100%
  • Hospitalization 17%
  • Delivery of Health Care 14%
  • Comorbidity 12%
  • Facilities and Services Utilization 9%
  1 引文 斯高帕斯（Scopus）
• 2021

  Understanding digital transformation in advanced manufacturing and engineering: A bibliometric analysis, topic modeling and research trend discovery

  Lee, C-H., Liu, C-L., Trappey, A. J. C., Mo, J. & Desouza, K., 10月 2021, 於: Advanced Engineering Informatics. 50, p. 101428 17 p.

  研究成果: Article › 同行評審

  • Machine learning 100%
  • Production engineering 94%
  • Industry 89%
  • Industry 4.0 84%
  • Engineering research 83%
  39 引文 斯高帕斯（Scopus）
• 2020

  Actor-critic deep reinforcement learning for solving job shop scheduling problems

  Liu, C. L., Chang, C. C. & Tseng, C. J., 2020, 於: IEEE Access. 8, p. 71752-71762 11 p., 9066984.

  研究成果: Article › 同行評審

  開啟存取

  • Job shop scheduling 100%
  • Reinforcement learning 79%
  • Environment 44%
  • Scheduling 40%
  • Cope Reaction 20%
  98 引文 斯高帕斯（Scopus）

• Machine Learning Model for Risk Prediction of Community-Acquired Acute Kidney Injury Hospitalization From Electronic Health Records: Development and Validation Study

  Hsu, C-N., Liu, C-L., Tain, Y-L., Kuo, C-Y. & Lin, Y-C., 4 8月 2020, 於: Journal of Medical Internet Research. 22, 8, 16 p., e16903.

  研究成果: Article › 同行評審

  開啟存取

  • Machine Learning 100%
  • Validation Studies 97%
  • Electronic Health Records 90%
  • Acute Kidney Injury 84%
  • Hospitalization 65%
  24 引文 斯高帕斯（Scopus）

• Metric-Based Semi-Supervised Regression

  Liu, C-L. & Chen, Q-H., 3 2月 2020, 於: IEEE Access. 8, p. 30001 - 30011 10 p.

  研究成果: Article › 同行評審

  開啟存取

  檔案

  • Cope Reaction 100%
  • Supervised learning 80%
  • Deep neural networks 74%
  • Industrial applications 70%
  • Deep learning 68%
  3 引文 斯高帕斯（Scopus）

• Model-Based Synthetic Sampling for Imbalanced Data

  Liu, C-L. & Hsieh, P-Y., 1 8月 2020, 於: IEEE Transactions on Knowledge and Data Engineering. 32, 8, p. 1543-1556 14 p.

  研究成果: Article › 同行評審

  • Model-based 100%
  • Classifiers 78%
  • Sampling 77%
  • Data mining 45%
  • Visualization 42%
  36 引文 斯高帕斯（Scopus）

• Predicting Short-term Survival after Liver Transplantation using Machine Learning

  Liu, C-L., Soong, R-S., Lee, W-C., Jiang, G-W. & Lin, Y-C., 27 3月 2020, 於: Scientific Reports. 10, 1, p. 1-10 10 p., 5654.

  研究成果: Article › 同行評審

  開啟存取

  檔案

  • Machine Learning 100%
  • Liver Transplantation 80%
  • End Stage Liver Disease 62%
  • Survival 49%
  • Forests 42%
  19 引文 斯高帕斯（Scopus）
• 2019

  Clustering data with partial background information

  Liu, C-L., Hsaio, W. H., Chang, T. H. & Li, H. H., 1 5月 2019, 於: International Journal of Machine Learning and Cybernetics. 10, 5, p. 1123-1138 16 p.

  研究成果: Article › 同行評審

  • Factorization 100%
  • Entropy 33%
  • Labeled data 23%
  • Seed 20%
  • Experiments 7%
  1 引文 斯高帕斯（Scopus）

• Epileptic Seizure Prediction with Multi-View Convolutional Neural Networks

  Liu, C-L., Xiao, B., Hsaio, W. H. & Tseng, V. S-M., 22 11月 2019, 於: IEEE Access. 7, p. 170352-170361 10 p., 8910555.

  研究成果: Article › 同行評審

  開啟存取

  檔案

  • Area Under the Curve 100%
  • Electroencephalography 67%
  • Convolutional neural networks 63%
  • Time 25%
  • Deep learning 20%
  49 引文 斯高帕斯（Scopus）

• Time Series Classification with Multivariate Convolutional Neural Network

  Liu, C-L., Hsaio, W. H. & Tu, Y. C., 1 6月 2019, 於: IEEE Transactions on Industrial Electronics. 66, 6, p. 4788-4797 10 p., 8437249.

  研究成果: Article › 同行評審

  • Convolutional neural networks 100%
  • Time series 94%
  • Deep learning 73%
  • Health 40%
  • Machine learning 40%
  157 引文 斯高帕斯（Scopus）
• 2018

  A predictive model for acute allograft rejection of liver transplantation

  Liu, C-L., Soong, R. S., Lee, W. C., Chen, D. H. & Hsu, S. H., 15 3月 2018, 於: Expert Systems with Applications. 94, p. 228-236 9 p.

  研究成果: Article › 同行評審

  • Liver 100%
  • Expert systems 26%
  • Intensive care units 18%
  • Random forests 14%
  • Intelligent systems 14%
  6 引文 斯高帕斯（Scopus）

• Background music recommendation based on latent factors and moods

  Liu, C-L. & Chen, Y. C., 1 11月 2018, 於: Knowledge-Based Systems. 159, p. 158-170 13 p.

  研究成果: Article › 同行評審

  • Latent Factors 100%
  • Music 80%
  • Mood 71%
  • Mobile Devices 45%
  • Mobile computing 32%
  23 引文 斯高帕斯（Scopus）

• Bayesian exploratory clustering with entropy Chinese restaurant process

  Liu, C-L., Hsaio, W. H. & Lin, C. Y., 1 1月 2018, 於: Intelligent Data Analysis. 22, 3, p. 551-568 18 p.

  研究成果: Article › 同行評審

  • Clustering 100%
  • Entropy 88%
  • Data Analytics 38%
  • Clustering algorithms 31%
  • Number of Clusters 29%

• Locality Sensitive K-means Clustering

  Liu, C-L., Hsaio, W. H. & Chang, T. H., 1 1月 2018, 於: Journal of Information Science and Engineering. 34, 1, p. 289-305 17 p.

  研究成果: Article › 同行評審

  • K-means Clustering 100%
  • Locality 79%
  • K-means 69%
  • Clustering 31%
  • Unsupervised Clustering 29%
  5 引文 斯高帕斯（Scopus）
• 2017

  Locality-constrained max-margin sparse coding

  Hsaio, W. H., Liu, C-L. & Wu, W. L., 1 5月 2017, 於: Pattern Recognition. 65, p. 285-295 11 p.

  研究成果: Article › 同行評審

  • Semi-supervised learning 100%
  • Labeled data 95%
  • Hinges 85%
  • Glossaries 78%
  • Experiments 28%
  10 引文 斯高帕斯（Scopus）

• Maximum-margin sparse coding

  Liu, C-L., Hsaio, W. H., Xiao, B., Chen, C. Y. & Wu, W. L., 17 5月 2017, 於: Neurocomputing. 238, p. 340-350 11 p.

  研究成果: Article › 同行評審

  • Glossaries 100%
  • Datasets 82%
  • methionylmethylsulfonium chloride 69%
  • Support Vector Machine 42%
  • Labeled data 40%
  5 引文 斯高帕斯（Scopus）

• Nonparametric multi-assignment clustering

  Liu, C-L., Hsaio, W. H., Chang, T. H. & Jou, T. M., 1 1月 2017, 於: Intelligent Data Analysis. 21, 4, p. 893-911 19 p.

  研究成果: Article › 同行評審

  • Clustering 100%
  • Assignment 95%
  • Labels 89%
  • Clustering algorithms 47%
  • Clustering Algorithm 39%
• 2016

  Fast recommendation on latent collaborative relations

  Liu, C-L. & Wu, X. W., 1 10月 2016, 於: Knowledge-Based Systems. 109, p. 25-34 10 p.

  研究成果: Article › 同行評審

  • Nearest neighbor search 100%
  • Collaborative filtering 85%
  • Niche 79%
  • Recommender systems 75%
  • Latent Factor Models 59%
  18 引文 斯高帕斯（Scopus）

• Large-scale recommender system with compact latent factor model

  Liu, C-L. & Wu, X. W., 1 12月 2016, 於: Expert Systems with Applications. 64, p. 467-475 9 p.

  研究成果: Article › 同行評審

  • Recommender systems 100%
  • Collaborative filtering 16%
  • Factorization 14%
  • Information retrieval 13%
  • Scalability 11%
  30 引文 斯高帕斯（Scopus）

• Semi-Supervised Text Classification with Universum Learning

  Liu, C-L., Hsaio, W. H., Lee, C-H., Chang, T. H. & Kuo, T. H., 1 2月 2016, 於: IEEE Transactions on Cybernetics. 46, 2, p. 462-473 12 p., 7051235.

  研究成果: Article › 同行評審

  • Semi-supervised learning 100%
  • Adaptive boosting 96%
  • Machine learning 59%
  • Classifiers 57%
  • Set theory 52%
  65 引文 斯高帕斯（Scopus）
• 2014

  Integrating various features to grade students' writings based on improved multivariate Bernoulli model

  Chang, T. H., Liu, C-L., Su, S. Y. & Sung, Y. T., 1 1月 2014, 於: Information (Japan). 17, 1, p. 45-52 8 p.

  研究成果: Article › 同行評審

  • Students 100%
  • Mathematical models 46%
  1 引文 斯高帕斯（Scopus）

• Semi-supervised linear discriminant clustering

  Liu, C-L., Hsaio, W. H., Lee, C-H. & Gou, F. S., 1 1月 2014, 於: IEEE Transactions on Cybernetics. 44, 7, p. 989-1000 12 p., 6587281.

  研究成果: Article › 同行評審

  • Labels 100%
  • Discriminant analysis 31%
  • Semi-supervised learning 18%
  • Dimensionality reduction 16%
  • Clustering algorithms 13%
  34 引文 斯高帕斯（Scopus）
• 2013

  An HMM-based algorithm for content ranking and coherence-feature extraction

  Liu, C-L., Hsaio, W. H., Lee, C-H. & Chi, H. C., 11 11月 2013, 於: IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans. 43, 2, p. 440-450 11 p.

  研究成果: Article › 同行評審

  • Hidden Markov models 100%
  • Feature extraction 75%
  • Blogs 29%
  • Support vector regression 28%
  • Latent Class Analysis 15%
  19 引文 斯高帕斯（Scopus）

• Clustering documents with labeled and unlabeled documents using fuzzy semi-Kmeans

  Liu, C-L., Chang, T. H. & Li, H. H., 5 2月 2013, 於: Fuzzy Sets and Systems. 221, p. 48-64 17 p.

  研究成果: Article › 同行評審

  • Document Clustering 100%
  • K-means 73%
  • K-means clustering 29%
  • Membership functions 27%
  • Clustering algorithms 24%
  28 引文 斯高帕斯（Scopus）

• Clustering tagged documents with labeled and unlabeled documents

  Liu, C-L., Hsaio, W. H., Lee, C. H. & Chen, C. H., 31 1月 2013, 於: Information Processing and Management. 49, 3, p. 596-606 11 p.

  研究成果: Article › 同行評審

  • Document Clustering 100%
  • Unsupervised learning 63%
  • Tag 49%
  • Set theory 35%
  • Clustering 25%
  9 引文 斯高帕斯（Scopus）
• 2012

  Intelligent computer assisted blog writing system

  Liu, C-L., Lee, C. H. & Ding, B. Y., 1 3月 2012, 於: Expert Systems with Applications. 39, 4, p. 4496-4504 9 p.

  研究成果: Article › 同行評審

  • Blogs 100%
  • Statistical methods 23%
  • Semantics 19%
  8 引文 斯高帕斯（Scopus）
• 2011

  Computer assisted writing system

  Liu, C-L., Lee, C. H., Yu, S. H. & Chen, C. W., 1 1月 2011, 於: Expert Systems with Applications. 38, 1, p. 804-811 8 p.

  研究成果: Article › 同行評審

  • Substitution reactions 100%
  • Statistical methods 42%
  • Internet 34%
  10 引文 斯高帕斯（Scopus）

• Painting in the air with Wii Remote

  Lee, C. H., Liu, C-L., Chen, Y. A. & Chen, Y. S., 1 11月 2011, 於: Expert Systems with Applications. 38, 12, p. 14668-14678 11 p.

  研究成果: Article › 同行評審

  • Painting 100%
  • Fault tolerance 85%
  • Air 47%
  • Controllers 23%
  5 引文 斯高帕斯（Scopus）
• 2010

  A fall detection system using k-nearest neighbor classifier

  Liu, C-L., Lee, C-H. & Lin, P. M., 10月 2010, 於: Expert Systems with Applications. 37, 10, p. 7174-7181 8 p.

  研究成果: Article › 同行評審

  • Classifiers 100%
  • Data privacy 72%
  • Experiments 50%
  • Testing 36%
  156 引文 斯高帕斯（Scopus）

• An unsupervised automated essay-scoring system

  Chen, Y. Y., Liu, C-L., Lee, C. H. & Chang, T. H., 1 12月 2010, 於: IEEE Intelligent Systems. 25, 5, p. 61-67 7 p., 5396298.

  研究成果: Article › 同行評審

  • Unsupervised learning 100%
  • Supervised learning 92%
  • Experiments 31%
  42 引文 斯高帕斯（Scopus）
• 2006

  DNS ontology-based search service

  Liu, C-L., Chen, C-S. & Tseng, S. S., 1 7月 2006, 於: Journal of Internet Technology. 7, 3, p. 253-260 8 p.

  研究成果: Article › 同行評審

  • Ontology 100%
  • Semantics 80%
  • Presentation Layer 62%
• 2004

  Design and implementation of an intelligent DNS management system

  Liu, C-L., Tseng, S. S. & Chen, C-S., 1 8月 2004, 於: Expert Systems with Applications. 27, 2, p. 223-236 14 p.

  研究成果: Article › 同行評審

  • Ontology 100%
  • Expert systems 36%
  • Planning 24%
  • Engineering technology 23%
  • Knowledge based systems 21%
  10 引文 斯高帕斯（Scopus）

• Design of an ENUM DNS server on a hybrid IPv6/IPv4 internetworking environment

  Liu, C-L., Tseng, S. S. & Chen, C-S., 4月 2004, 於: Journal of Internet Technology. 5, 2, p. 139-146 8 p.

  研究成果: Article › 同行評審

  • Servers 100%
  • Knowledge based systems 50%
  • Quality of service 35%
  • Network protocols 31%
  • Internet 31%
  1 引文 斯高帕斯（Scopus）
• 2003

  A unifying framework for intelligent DNS management

  Chen, C-S., Tseng, S. S. & Liu, C-L., 4月 2003, 於: International Journal of Human Computer Studies. 58, 4, p. 415-445 31 p.

  研究成果: Article › 同行評審

  • management 100%
  • Ontology 87%
  • Information systems 84%
  • access to services 61%
  • ontology 49%
  8 引文 斯高帕斯（Scopus）
• 2002

  A distributed intrusion detection model for the domain name system

  Chen, C-S., Tseng, S. S. & Liu, C-L., 1 11月 2002, 於: Journal of Information Science and Engineering. 18, 6, p. 999-1009 11 p.

  研究成果: Article › 同行評審

  • Intrusion Detection 100%
  • Intrusion detection 55%
  • Distributed Algorithms 48%
  • Anomaly 42%
  • Speedup 38%
  2 引文 斯高帕斯（Scopus）