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歐陽振森 Chen-Sen Ouyang

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姓名 歐陽振森 Chen-Sen Ouyang
職稱 教授
電話 07 6011000 #34126
電郵 ouyangcs@nkust.edu.tw
學歷 國立中山大學 電機工程 博士
專業 人工智慧、資料探勘、生醫影像與訊號分析、電腦視覺
研究室 B331(電資學院3樓)

 

經歷
  • 義守大學資訊工程學系專任助理教授、副教授、教授
  • 義守大學資訊工程學系系主任
  • 國立高雄大學電機工程學系兼任助理教授、副教授
  • 義守大學校務研究處資料管理組兼任組長、分析研究組兼任組長
  • 義守大學教務處招生組兼任組長
學歷
  • 國立中山大學電機工程學系博士
  • 國立中山大學應用數學系學士
研究所課程
  • 電腦視覺應用實務
大學部課程
  • 雲端運算實務(全英)
  • Linux系統
研究專長
  • 人工智慧、資料探勘、生醫影像與訊號分析、電腦視覺
期刊論文
  • Yu-Shun Mao, Shie-Jue Lee, Chih-Hung Wu, Chun-Liang Hou, Chen-Sen Ouyang, Chih-Feng Liu, “Forecasting of Air Pollutant Concentrations Using a Hybrid Deep Learning Network Model,” Applied Intelligence, accepted, 2022. (SCI)
  • Tung-Ming Chang, Rong-Ching Wu, Rei-Cheng Yang, Ching-Tai Chiang, Yi-Hung Chiu, Chen-Sen Ouyang, Yun-Ming Wang, Ming-Hsu Wu, Guang-Chung Lin, and Lung-Chang Lin, “Objective Diagnosis of ADHD Through Movement Analysis by Using a Smart Chair with Piezoelectric Material,” Pediatrics & Neonatology, published online, 2022. (SCI)
  • Mi-Tsuen Hsieh, Shie-Jue Lee, Chih-Hung Wu, Chun-Liang Hou, Chen-Sen Ouyang, and Zhan-Pei Lin, “Leveraging Attribute Latent Features for Addressing New Item Cold-start Issue,” Electronic Commerce Research and Applications, vol. 54, pp. 101177, 2022. (SCI, SSCI)
  • Lung-Chang Lin, Ming-Yuh Chang, Yi-Hung Chiu, Ching-Tai Chiang, Rong-Ching Wu, Rei-Cheng Yang***, Chen-Sen Ouyang***, “Prediction of Seizure Recurrence Using Electroencephalogram Analysis with Multiscale Deep Neural Networks Before Withdrawal of Antiepileptic Drugs,” Pediatrics and Neonatology, vol. 63, no.3, pp. 283-290, 2022. (SCI)
  • Ying-Han Lee, Chen-Sen Ouyang, Yi-Hung Chiu, Ching-Tai Chiang, Rong-Ching Wu, Rei-Cheng Yang***, Lung-Chang Lin***, “Early and Objective Evaluation of the Therapeutic Effects of ADHD Medication Through Movement Analysis Using Video Recording Pixel Subtraction,” International Journal of Environmental Research and Public Health, vol. 19, no. 6, pp. 3163-1-3163-10, 2022. (SCI, SSCI)
  • Chen-Sen Ouyang, Yi-Hung Chiu, Ching-Tai Chiang, Rong-Ching Wu, Ying-Tong Lin, Rei-Cheng Yang***, and Lung-Chang Lin***, “Evaluating Therapeutic Effects of ADHD Medication Objectively by Movement Quantification with A Video-Based Skeleton Analysis” International Journal of Environmental Research and Public Health, vol. 18, no. 17, 2021. (SCI, SSCI)
  • Rei-Cheng Yang, Rong-Ching Wu, Ching-Tai Chiang, Yi-Hung Chiu, Chen-Sen Ouyang, Ying-Tong Lin, and Lung-Chang Lin*, “Objective Evaluation of Therapeutic Effects of ADHD Medication by Analyzing Movements Using A Smart Chair with Piezoelectric Material,” Applied Science, vol. 11, no. 12, pp. 5478-1-5478-10, 2021. (SCI)
  • Chen-Sen Ouyang, Yenming-J Chen, Jinn-Tsong Tsai, Yiu-Jen Chang, Tian-Hsiang Huang, Kao-Shing Hwang, Yuan-Chih Ho***, and Wen-Hsien Ho***, “Data Mining Analysis of The Influences of Electrocardiogram P-wave Morphology Parameters on Atrial Fibrillation,” Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7901-7908, 2021. (SCI)
  • Chen-Sen Ouyang, Rei-Cheng Yang, Rong-Ching Wu, Ching-Tai Chiang, and Lung-Chang Lin*, “Determination of Antiepileptic Drugs Withdrawal Through EEG Hjorth Parameter Analysis,” International Journal of Neural Systems, vol. 30, no. 11, 2050036-1-2050036-16, 2020. (SCI)
  • Tung-Ming Chang**, Rei-Cheng Yang**, Ching-Tai Chiang, Chen-Sen Ouyang, Rong-Ching Wu, Sebastian Yu, and Lung-Chang Lin*, “Delay Maturation in Occipital Lobe in Girls with Inattention Subtype of Attention-Deficit Hyperactivity Disorder,” Clinical EEG and Neuroscience, vol. 51. No. 5, pp. 325-330, 2020. (SCI)
  • Chen-Sen Ouyang, Rei-Cheng Yang, Ching-Tai Chiang, Rong-Ching Wu, and Lung-Chang Lin, “EEG Autoregressive Modeling Analysis: A Diagnostic Tool for Patients with Epilepsy Without Epileptiform Discharges,” Clinical Neurophysiology, vol. 131, no. 8, pp. 1902-1908, 2020. (SCI)
  • Chen-Sen Ouyang, Rei-Cheng Yang, Ching-Tai Chiang, Rong-Ching Wu, and Lung-Chang Lin, “Objective Evaluation of Therapeutic Effects of ADHD Medication Using a Smart Watch: A Pilot Study,” Applied Sciences, vol. 10, no. 17, pp. 5946-1-5946-10, 2020. (SCI)
  • Chen-Sen Ouyang, Ching-Tai Chiang, Rei-Cheng Yang, Rong-Ching Wu, and Lung-Chang Lin*, “Quantitative Electroencephalogram Analysis of Frontal Cortex Functional Changes in Patients with Migraine,” Kaohsiung Journal of Medical Sciences, vol. 36, no. 7, pp. 543-551, 2020. (SCI)
  • I-Te Chen, Yu-Hsien Chiu, Han-Chun Liao, Jer-Min Tsai, Wen-Hsien Ho***, and Chen-Sen Ouyang***, “Multisensors-based Verification Mechanism with Encryption and Decryption on Fault-tolerant Databases,” Sensors and Materials, vol. 32, no. 6, pp. 2187-2197, 2020. (SCI)
  • Ching-Tai Chiang, Chen-Sen Ouyang, Rei-Cheng Yang, Rong-Ching Wu, and Lung-Chang Lin*, “Increased Temporal Lobe Beta Activity in Boys with Attention-Deficit Hyperactivity Disorder by LORETA Analysis,” Frontiers in Behavioral Neuroscience, vol. 14, no. 85, pp. 1-10, 2020. (SCI)
  • Lung-Chang Lin, Chen-Sen Ouyang, Ching-Tai Chiang, Rong-Ching Wu***, and Rei-Cheng Yang***, “Quantitative Analysis of Movements in Children with Attention-Deficit Hyperactivity Disorder Using a Smart Watch at School,” Applied Sciences, vol. 10, no. 12, pp. 4116-1-4116-10, 2020. (SCI)
  • Lung-Chang Lin, Chen-Sen Ouyang, Rong-ChingWu, Rei-Cheng Yang, and Ching-Tai Chiang*, “Alternative Diagnosis of Epilepsy in Children Without Epileptiform Discharges Using Deep Convolutional Neural Networks,” International Journal of Neural Systems, vol. 30, no. 5, pp. 1850060-1-1850060-10, 2020. (SCI)
  • Yu-Chun Lin, Shie-Jue Lee*, Chen-Sen Ouyang, Chih-Hung Wu, “Air Quality Prediction by Neuro-fuzzy Modeling Approach,” Applied Soft Computing, vol. 86, pp. 105898-1-105898-13, 2020. (SCI)
  • Ming-Yuh Chang**, Chen-Sen Ouyang**, Ching-Tai Chiang, Rei-Cheng Yang, Rong-Ching Wu, Hui-Chuan Wu, and Lung-Chang Lin*, “A New Method of Diagnosing Attention-Deficit Hyperactivity Disorder in Male Patients by Quantitative EEG Analysis,” Clinical EEG and Neuroscience, vol. 50, no. 5, pp. 339-347, 2019. (SCI)
  • Julie Chi Chow, Chen-Sen Ouyang, Chin-Ling Tsai, Ching-Tai Chiang, Rei-Cheng Yang, Rong-Ching Wu, Hui-Chuan Wu, and Lung-Chang Lin*, “Entropy-Based Quantitative Electroencephalogram Analysis for Diagnosing Attention-Deficit Hyperactivity Disorder in Girls,” Clinical EEG and Neuroscience, vol. 50, no. 3, pp. 172-179, 2019. (SCI)
  • Julie Chi Chow, Chen-Sen Ouyang, Ching-Tai Chiang, Rei-Cheng Yang, Rong-Ching Wu, Hui-Chuan Wu, and Lung-Chang Lin*, “Novel Method Using Hjorth Mobility Analysis for Diagnosing Attention-Deficit Hyperactivity Disorder in Girls,” Brain & Development, vol. 41, no. 4, pp. 334-340, 2019. (SCI)
  • Lung-Chang Lin, Chen-Sen Ouyang, Ching-Tai Chiang*, Rei-Cheng Yang*, Rong-Ching Wu, and Hui-Chuan Wu, “Cumulative Effect of Transcranial Direct Current Stimulation in Patients with Partial Refractory Epilepsy and Its Association with Phase Lag Index-A Preliminary Study,” Epilepsy & Behavior, vol. 84, pp. 142-147, 2018. (SCI)
  • Chen-Sen Ouyang, Ching-Tai Chiang, Rei-Cheng Yang, Rong-Ching Wu, Hui-Chuan Wu, Lung-Chang Lin*, “Quantitative EEG Findings and Response to Treatment with Antiepileptic Medications in Children with Epilepsy,” Brain & Development, vol. 40, no. 1, pp. 26-35, 2018. (SCI)
  • Lung-Chang Lin, Sharon Chia-Ju Chen, Ching-Tai Chiang, Hui-Chuan Wu, Rei-Cheng Yang, and Chen-Sen Ouyang*, “Classification Preictal and Interictal Stages via Integrating Interchannel and Time-Domain Analysis of EEG Features,” Clinical EEG and Neuroscience, vol. 48, no. 2, pp. 139-145, 2017. (SCI)
  • Yea-Ru Tsai*, Chen-Sen Ouyang, and Yukon Chang, “Identifying Engineering Students’ English Sentence Reading Comprehension Errors: Applying a Data Mining Technique,” Journal of Educational Computing Research, vol. 54, no. 1, pp. 62-84, 2016. (SSCI)
  • Chih-Hung Wu*, Chen-Sen Ouyang, Li-Wen Chen, and Li-Wei Lu, “A New Fuzzy Clustering Validity Index with a Median Factor for Centroid-based Clustering,” IEEE Transactions on Fuzzy Systems, vol. 23, no. 3, pp. 701-718, 2015. (SCI)
  • Lung-Chang Lin, Chen-Sen Ouyang*, Ching-Tai Chiang, Rei-Cheng Yang, Rong-Ching Wu, and Hui-Chuan Wu, “Early Prediction of Medication Refractoriness in Children with Idiopathic Epilepsy Based on Scalp EEG Analysis”, International Journal of Neural Systems, vol. 24, no. 7, pp. 1450023-1-1450023-16, 2014. (SCI)
  • Lung-Chang Lin**, Chen-Sen Ouyang**, Ching-Tai Chiang, Hui-Chuan Wu, and Rei-Cheng Yang*, “Early Evaluation of The Therapeutic Effectiveness in Children with Epilepsy by Quantitative EEG: A Model of Mozart K.448 Listening-A Preliminary Study,” Epilepsy Research, vol. 108, no. 8, pp. 1417-1426, 2014. (SCI)
  • Lung-Chang Lin, Chen-Sen Ouyang, Ching-Tai Chiang, Rong-Ching Wu, Hui-Chuan Wu, and Rei-Cheng Yang*, “Listening to Mozart K.448 Decreases Electroencephalography Oscillatory Power Associated with an Increase in Sympathetic Tone in Adults: A Post-Intervention Study,” Journal of the Royal Society of Medicine Open, vol. 5, no. 10, pp. 1-7, 2014.
  • Gu-Hsin Lai, Chen-Sen Ouyang, and Chia-Mei Chen*, “A Group-Based Deployment for Wormhole Prevention in Sensor Networks,” Journal of Information Science and Engineering, vol. 27, no. 1, pp. 79-93, 2011.
  • Tzung-Pei Hong*, Wei-Tee Lin, Chun-Hao Chen, and Chen-Sen Ouyang, “Evolutionarily Adjusting Membership Functions in Takagi-Sugeno Fuzzy Systems,” International Journal of Intelligent Information and Database Systems, vol. 5, no. 3, pp. 229-245, 2011.
  • Shing-Hwang Doong, Chih-Chin Lai, Shie-Jue Lee, Chen-Sen Ouyang, and Chih-Hung Wu, “Virtual Machines Performance Modeling with Support Vector Regressions,” GSTF International Journal on Computing, vol. 1, no. 1, pp.114-119, 2010.
  • Wan-Jui Lee, Jun-Shih Chung, Chen-Sen Ouyang, and Shei-Jue Lee*, “Vector Quantization of Images Using a Fuzzy Clustering Method,” Cybernetics and Systems, vol. 39, no. 1, pp. 45-60, 2008. (SCI, EI)
  • Hsin-Tai Yang, Chen-Sen Ouyang, Li-Ming Huang, and Shei-Jue Lee*, “Segmentation of Multiple Human Objects in Video Sequences,” Applied Artificial Intelligence, vol. 21, no. 10, pp. 831-859, 2007. (SCI, EI)
  • Chen-Sen Ouyang, Wan-Jui Lee, and Shei-Jue Lee*, “A TSK-Type Neurofuzzy Network Approach to System Modeling Problems,” IEEE Transactions on Systems, Man, and Cybernetics — Part B: Cybernetics, vol. 35, no. 4, pp. 751-767, 2005. (SCI, EI)
  • Shei-Jue Lee*, Chen-Sen Ouyang, and Shih-Huai Du, “A Neuro-Fuzzy Approach for Segmentation of Human Objects in Image Sequences,” IEEE Transactions on Systems, Man, and Cybernetics — Part B: Cybernetics, vol. 33, no. 3, pp. 420-437, 2003. (SCI, EI)
  • Shei-Jue Lee* and Chen-Sen Ouyang, “A Neuro-Fuzzy System Modeling with Self-Constructing Rule Generation and Hybrid SVD-Based Learning,” IEEE Transactions on Fuzzy Systems, vol. 11, no. 3, pp. 341-353, 2003. (SCI, EI)
研討會論文
  • 邱益鴻、陳倩、陳信宏、歐陽振森、林龍昌、董慧萍 (2022,十二月), “應用腦電圖來源成像定位癲癇發作起始區,” 2022年臺灣網際網路研討會TANET暨全國計算機會議NCS,桃園,台灣。
  • 歐陽振森、 邱益鴻、 董慧萍 (2021,十二月), “以機器學習為基礎之癲癇發作腦電波辨識,” 2021年臺灣網際網路研討會TANET暨全國計算機會議NCS,台中,台灣。
  • 歐陽振森、邱益鴻、江景泰、吳榮慶、林龍昌、楊瑞成 (2020,十一月), “應用深度學習於注意力不足過動症量化腦電波分析,” 2020中華民國第二十八屆模糊理論及其應用研討會 (FUZZY 2020),新竹,台灣。
  • Chen-Sen Ouyang, Ming-Hsu Wu, and Tzung-Pei Hong, “An Automatic Labeling Approach for Stable and Unstable Human Gait Classification in Videos,” in Proceedings of the 7th Multidisciplinary in International Social Networks Conference (MISNC 2020), pp. 1-13, Kaohsiung, Taiwan, Oct. 2020.
  • 蔡宗恩、歐陽振森 (2019,十一月), “一種新式特徵挑選方法”, 2019第24屆人工智慧與應用研討會,高雄,台灣。
  • Chen-Sen Ouyang, Zong-En Cai, Rong-Ching Wu, Lung-Chang Lin, Ching-Tai Chiang, Rei-Cheng Yang, and Li-Ju Huang, “A Novel Feature Selection Approach for EEG Classification Analysis,” in Proceedings of International Conference on Advanced Technology Innovation 2019 (ICATI 2019), SAPPORO, HOKKAIDO, Japan, Jul. 2019.
  • Chen-Sen Ouyang, Yi-Hung Chiu, Rong-Ching Wu, Lung-Chang Lin, Rei-Cheng Yang, and Ching-Tai Chiang, “A Wavelet-Based EEG Feature Analysis for ADHD Diagnosis,” in Proceedings of 2019 International Workshop of ICAROB in Taiwan (2019 ICAROB Taiwan), Yunlin, Taiwan, Jun. 2019.
  • 歐陽振森、邱益鴻 (2018,十一月),“基於每人單張影像之人臉辨識”,2018中華民國第二十六屆模糊理論及其應用研討會,桃園,台灣。
  • Chen-Sen Ouyang, Bo-Jhong Chen, Zong-En Cai, Lung-Chang Lin, Rong-Ching Wu, Ching-Tai Chiang, and Rei-Cheng Yang, “Feature Extraction of EEG Signals for Epileptic Seizure Prediction,” in Proceedings of the Second International Conference on Smart Vehicular Technology, Transportation, Communication and Applications (VTCA-2018), Sichuan, China, Oct. 2018.
  • Zhe-Che Lin, Yan-Jie Huang, Chiu-Hung Chen, Tung-Kuan Liu, Chen-Sen Ouyang, and Jyh-Horng Chou, “Solving Robotic Kinematics Problems by Using Multiple Artificial Neural Networks”, in Proceedings of SICE Annual Conference 2018 (SICE 2018), pp. 297-299, Nara, Japan Sept. 2018.
  • Chen-Sen Ouyang, Young-Zain Wang, and Bo-Jhong Chen, “A Comparative Study on Independent Component Classification of EEG,” in Proceedings of 2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY 2017), Pingtung, Taiwan, Nov. 2017.
  • 歐陽振森、陳柏仲、王永在 (2017,十一月), “應用改良式頭皮腦波正零越點區間特徵於癲癇發作階段分類”, 2017創新發明應用研討會, 台中市,台灣。
  • Chen-Sen Ouyang, Yu-Yuan Cheng, Tzu-Chin Kao, Chih-Hung Wu, Shing-Tai Pan, and Shie-Jue Lee, “Recursive SVD-based Fuzzy Extreme Learning Machine,” in Proceedings of 14th IEEE International Conference on Intelligent and Automation (ICIA 2017), Macau SAR, China, Jul. 2017.
  • Jia-Ching Jang Jian, Chih-Hung Wu, Chih-Chin Lai, Shing-Tai Pan, Shie-Jue Lee, and Chen-Sen Ouyang, “Cascading Global and Local Features for Face Recognition Using Support Vector Machines and Local Ternary Patterns,” in Proceedings of 14th IEEE International Conference on Intelligent and Automation (ICIA 2017), Macau SAR, China, Jul. 2017.
  • Shao-Hsia Chang, Nan-Ying Yu, Chen-Sen Ouyang, and Ming-Hung Chu, “Development and Application of Motor Imagery and Kinect Praxis Training for Children With Developmental Coordination Disorder,” 2017數位生活科技研討會,嘉義,台灣,6月,2017。
  • Chen-Sen Ouyang, Tzu-Chin Kao, Yu-Yuan Cheng, Chih-Hung Wu, Chiung-Hui Tsai, and Meng-Wei Wu, “An Improved Fuzzy Extreme Learning Machine for Classification and Regression,” in Proceedings of 2016 International Conference on Cybernetics, Robotics and Control (CRC 2016), Hong Kong, China, Aug. 2016.
  • Lung-Chang Lin, Chen-Sen Ouyang, Ching-Tai Chiang, Rong-Ching Wu, Hui-Chuan Wu, and Rei-Cheng Yang, “Prediction the effectiveness of Antiepileptic Drugs by analyzing EEG features in children with Epilepsy,” in Proceedings of 14th International Child Neurology Congress, Amsterdam, Netherlands, May 2016.
  • Chen-Sen Ouyang, Ching-Tai Chiang, Lung-Chang Lin, Rei-Cheng Yang, and Chih-Hung Wu, “Evaluation of Antiepileptic Drugs’ Curative Effect with Quantitative EEG Feature Analysis,” in Proceedings of 3rd International Scientific Conference on Engineering and Applied Sciences, Okinawa, Japan, Jul. 2015.
  • Lung-Chang Lin, Chen-Sen Ouyang, Ching-Tai Chiang, Hui-Chuan Wu, and Rei-Cheng Yang, “A Potential Individualized Seizure Prediction Model by Integrating Inter-channel and Time-domain Analysis of EEG Features,” in Proceedings of 13th Asian and Oceania Congress of Child Neurology 2015 (AOCCN 2015), Taipei, Taiwan, May 2015.
  • Chih-Hung Wu, Xian-Ren Lo, Chen-Sen Ouyang, "A Comparative Study on CT Image Segmentation Using FCM-based Clustering Methods", in Proceedings of International MultiConference of Engineers and Computer Scientists 2015, Hong Kong, Mar. 2015.
  • Chen-Sen Ouyang, Chih-Hung Wu, Ching-Tai Chiang, Lung-Chang Lin, Rei-Cheng Yang, and Rong-Ching Wu, “A Classification Approach for Automatic EEG Artifact Detection,” in Proceedings of 4th International Conference on Engineering and Applied Science (2014 ICEAS), Hokkaido, Japan, Jul. 2014.
  • Chih-Hung Wu, Shing-Tai Pan, Yu-Sian Lin, Chen-Sen Ouyang, “A Restart Mechanism of Performance Improvement for Evolvable Hardware-based Image Filter Design,” in Proceedings of 4th International Conference on Engineering and Applied Science (2014 ICEAS), Sappora, Japan, Jul. 2014.
  • Chen-Sen Ouyang, “Feature Selection with a Supervised Similarity-Based K-Medoids Clustering,” in Proceedings of 2014 International Conference on Machine Learning and Cybernetics (ICMLC 2014), pp. 562-566, Lanzhou, China, Jul. 2014.
  • Chen-Sen Ouyang and Po-Jen Cheng, “A Self-Constructing Type-2 Fuzzy Neural Network for Impulse Noise Removal in Digital Images,” in Proceedings of 2013 International Conference on Fuzzy Theory and Its Applications (iFUZZY 2013), pp. 299-304, Taipei, Taiwan, Dec. 2013.
  • Chen-Sen Ouyang, NaiJing Kang, and Po-Jen Cheng, “A Recursive SVD-based Least Squares Algorithm With Forgetting Factors for Neuro-Fuzzy Modeling,” in Proceedings of 14th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2013), pp. 575-580, Honolulu, Hawaii, U.S.A., Jul. 2013.
  • Chih-Chin Lai, Chi-Feng Chan, Chen-Sen Ouyang, and Hui-Fen Chiang, “A Robust Feature-based Image Watermarking Scheme,” 14th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2013), pp. 581-585, Honolulu, Hawaii, U.S.A., Jul. 2013.
  • Chen-Sen Ouyang, Ching-Tai Chiang, Lung-Chang Lin, Rei-Cheng Yang, Rong-Ching Wu, and Hui-Chuan Wu, “A Survey on EEG Feature Descriptors for Epileptic Seizure Prediction,” in Proceedings of The 5th International Conference on Information, Integration and Innovation (ICIII 2013), Kaohsiung, Taiwan, 2013.
  • 鄭博仁、歐陽振森(2013,5月)。基於第二型模糊類神經網路之數位影像雜訊偵測與去除。2013 Information Technologies, Applications and Management Conference (ITAMC 2013) (2013資訊技術應用與管理研討會),高雄,台灣。
  • 歐陽振森、陳靖雅、吳啟源、詹勳安、陳育民、鄭雨丹(2012,11月)。智慧型花朵辨識雲端系統。The 2nd Conference on Applications of Innovation & Invention (AII 2012) (第二屆創新發明應用研討會),pp.533-536,台中,台灣。
  • Chia-Chun Hung, Ching-Tai Chiang, Chen-Sen Ouyang, Rong-Ching Wu, and C. LEE, “Performance of Multiuser TAS/MRC Systems with a High Selection Gain in Severe Fading Channels,” in Proceedings of The Third International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2012), pp.258-261, Kaohsiung, Taiwan, Sep. 2012.
  • Chen-Sen Ouyang and Ping-Wei Chen, “A Robust Texture-Based Background Subtraction Algorithm for Moving Object Detection in Video Sequences,” in Proceedings of The Sixth International Conference on Genetic and Evolutionary Computing (ICGEC 2012), pp.480-483, Kitakyushu, Japan, Aug. 2012.
  • Yea-Ru Tsai, Yu-Kon Chang, and Chen-Sen Ouyang, “Proposing a Recommender System Through Mining English Reading Comprehension Errors of Engineering Students,” in Proceedings of 2012 International Conference on Machine Learning and Cybernetics (ICMLC 2012), pp.1571-1575, Xi'an, Shaanxi, China, Jul. 2012.
  • 歐陽振森、陳勇志 (2012,五月)。基於遞迴式奇異值分解之模糊類神經網路建構。2012 Information Technologies, Applications and Management Conference (ITAMC 2012) (2012資訊技術應用與管理研討會),高雄,台灣。
  • Chih-Chung Wang, Chung-Ho Kuo, Chen-Sen Ouyang, Chien-Wei Lee, and Chun-Chuan Chao, “Development of Intelligent Machine Condition Monitoring and Diagnostic System in CSC,” in Proceedings of The Iron & Steel Technology Conference and Exposition (AISTech 2012), Atlanta, Georgia, USA, May 2012.
  • Ching-Tai Chiang, Chen-Sen Ouyang, Rong-Ching Wu, Lung-Chang Lin, and Rei-Cheng Yang, “Artifact Removal from EEG with a Preprocessing for Preserving Desired Bands,” in Proceedings of 2011 International Conference on Computer Application and System Modeling (ICCASM 2011), pp.1103-1105, Shanxi, China, Nov. 2011.
  • Yea-Ru Tsai, Yukon Chang, and Chen-Sen Ouyang, “Mining Error Patterns of Engineering Studetns’ English Reading Comprehension,” in Proceedings of 2011 International Conference on Machine Learning and Cybernetics (ICMLC 2011), pp. 68-72, Guilin, Guangxi, China, Jul. 2011.
  • Chen-Sen Ouyang, Chih-Chung Wang, and Yung-Chih Chen, “A Recursive SVD-Based Self-Constructing Rule Generation for Neuro-Fuzzy System Modeling,” in Proceedings of 2011 International Conference on Machine Learning and Cybernetics (ICMLC 2011), pp. 172-177, Guilin, Guangxi, China, Jul. 2011.
  • Chih-Chin Lai, Hsin-Chih Chen, Geng-Ming Yeh, and Chen-Sen Ouyang, “A Robust Digital Image Watermarking Using Transformation Domain and Evolutionary Computation Techniques,” in Proceedings of 2011 International Conference on Machine Learning and Cybernetics (ICMLC 2011), pp. 1643-1647, Guilin, Guangxi, China, Jul. 2011.
  • Rong-Ching Wu, Ching-Tai Chiang, Chen-Sen Ouyang, and Jong-Ian Tsai, “Complete Parameter Estimation of Induction Machines by Time-Varied Parameters,” in Proceedings of 2011 6th IEEE Conference on Industrial Electronics and Applications (ICIEA 2011), pp. 2259-2264, Beijing, China, Jun. 2011.
  • 林龍昌、吳惠娟、江景泰、吳榮慶、歐陽振森、楊瑞成(2011,五月)。莫札特K.448對腦波alpha power的效應。台灣小兒神經醫學會第六屆第一次年會暨第十五屆學術演講會,pp.41,台北,台灣。
  • 江景泰、吳榮慶、歐陽振森、林龍昌、楊瑞成(2011,五月)。Artifact Removal from Electroencephalograms in Brain-Computer Interfacing。陸軍軍官學校建國百年暨八十七週年校慶學術研討會,pp.EE.33-EE.38,高雄,台灣。
  • Rong-Ching Wu, Jong-Ian Tsai, Ching-Tai Chiang, and Chen-Sen Ouyang, “Detection of Induction Motor Operation Condition by Acoustic Signal,” in Proceedings of The 8th IEEE International Conference on Industrial Informatics (INDIN 2010), pp.792-797, Osaka, Japan, Jul. 2010.
  • Ming-Yi Ju, Chen-Sen Ouyang, and Hao-Shiu Chang, “Mean Shift Tracking Using Fuzzy Color Histogram,” in Proceedings of 2010 International Conference on Machine Learning and Cybernetics (ICMLC 2010), pp. 2904-2908, Qingdao, Shandong, China, Jul. 2010.
  • Chih-Chung Wang, Chien-Wei Lee, and Chen-Sen Ouyang, “A Machine-Learning-Based Fault Diagnosis Approach for Intelligent Condition Monitoring,” in Proceedings of 2010 International Conference on Machine Learning and Cybernetics (ICMLC 2010), pp. 2921-2926, Qingdao, Shandong, China, Jul. 2010.
  • Chen-Sen Ouyang, Rong-Ching Wu, and Chih-Chung Wang, “An Improved Neural-Network-Based Palm Biometric System with Rotation Detection Mechanism,” in Proceedings of 2010 International Conference on Machine Learning and Cybernetics (ICMLC 2010), pp. 2927-2932, Qingdao, Shandong, China, Jul 2010.
  • Shing-Hwang Doong, Chih-Chin Lai, Shie-Jue Lee, Chen-Sen Ouyang, Chih-Hung Wu, “Performance Modeling of Virtual Machines Hosted on Xen,” in Proceedings of 1’st Annual International Conference on Cloud Computing and Virtualization, Singapore, May 2010.
  • Chen-Sen Ouyang and Shiu-Ling Liu, “An Approach for Construction and Learning of Interval Type-2 TSK Neuro-Fuzzy Systems,” in Proceedings of 2009 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2009), pp. 1517-1522, Jeju Island, Korea, Aug. 2009.
  • Tzung-Pei Hong, Wei-Tee Lin, Chih-Ping Chu, and Chen-Sen Ouyang, “An Iterative Genetic Learning Approach for Takagi-Sugeno Fuzzy Systems,” in Proceedings of 2009 International Conference on Machine Learning and Cybernetics (ICMLC 2009), pp. 3246-3251, Baoding, China, Ju;. 2009.
  • Chen-Sen Ouyang, Chia-Te Chou, Ci-Fong Jhan, and Jhih-Yong Huang, “An Improved Approach for Image Segmentation Based on Color and Local Homogeneity Features,” in Proceedings of The 34th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2009), pp. 1225-1228, Taipei, Taiwan, Apr. 2009.
  • Tzung-Pei Hong, Wei-Tee Lin, Chun-Hao Chen, and Chen-Sen Ouyang, “Learning Membership Functions in Takagi-Sugeno Fuzzy Systems by Genetic Algorithms,” in Proceedings of 1st Asian Conference on Intelligent Information and Database Systems (ACIIDS 2009), pp. 301-306, Dong Hoi, Quang Binh, Vietnam, Apr. 2009.
  • Chen-Sen Ouyang, Ming-Yi Ju, and Han-Lin Yang, “An Adaptive Biometric System Based on Palm Texture Feature and LVQ Neural Network,” in Opportunities and Challenges for Next-Generation Applied Intelligence, Studies in Computational Intelligence, Been-Chian Chien and Tzung-Pei Hong, eds. Berlin, Germany: Springer Berlin Heidelberg, 2009, pp. 25-30.
  • Chen-Sen Ouyang and Han-Lin Yang, “Extraction and Correction of Feature Points for Palmprint-Based Biometric Systems,” in Proceedings of The 13th Conference on Artificial Intelligence and Applications, Yilan, Taiwan, Nov. 2008.
榮譽
  • 義守大學110學年度系級、院級與校級優良導師獎
  • 第十八屆國家新創獎-臨床新創獎
  • 義守大學109學年度系級、院級與校級傑出教學獎
  • 義守大學106學年度系級、院級傑出教學獎
研究計畫
  • 科技部/國科會專題研究計畫
  • 應用可解釋人工智慧輔助巴金森氏症臨床診斷與居家篩檢之精準決策(NSTC111-2221-E-214-016-MY3,國科會,計畫主持人)
  • 用於注意力不集中併過動症診斷之智慧型診療椅系統之研發(NSTC111-2221-E-214-018,國科會,共同主持人)
  • 皮膚老化和大腦老化之相關性: 一種研究腦皮溝通之新穎動物模型及其於人體之運用(NSTC111-2314-B-037-042,國科會,共同主持人)
  • 運用人工智慧腦波分析建立癲癇停藥之個人化生物標記及輔助醫療決策之前瞻性研究-接續計畫(NSTC111-2314-B-037-077-,國科會,共同主持人)
  • 體感與電腦化動作功能評估於長期照護之應用(MOST108-2221-E-214-011 -MY3,科技部,共同主持人)
  • 運用人工智慧腦波分析建立癲癇停藥之個人化生物標記及輔助醫療決策之前瞻性研究(MOST110-2314-B-037-051,科技部,共同主持人)
  • 智慧型偵測系統輔助注意力不集中併過動症診斷與療效評估(MOST110-2221-E-153-005,科技部,共同主持人)
  • 應用腦電圖來源成像與深度學習定位抗藥性癲癇發作起始區及臨床意義探討(MOST109-2221-E-214 -024 -MY2,科技部,計畫主持人)
  • 運用Grad-CAM定位可視化深度學習網路之腦電圖辨識特徵(MOST109-2221-E-153-006,科技部,共同主持人)
  • 以量化腦波人工智慧分析早期預測抗癲癇藥物於兒童癲癇的有效性(MOST109-2314-B-037-075,科技部,共同主持人)
  • 應用量化腦波與深度學習建立注意力不足過動症藥物療效評估之精準客觀量化生物標記(MOST108-2221-E-214-020,科技部,計畫主持人)
  • 運用深度學習神經網路輔助臨床醫師診斷無異常放電腦波之癲癇兒童(MOST108-2221-E-153-010,科技部,共同主持人)
  • 應用量化腦波與深度學習於注意力不足過動症之診斷輔助與療效評估(MOST107-2221-E-214-028,科技部,計畫主持人)
  • 基於量化腦波與極限學習機之適應性長期癲癇發作預測的技術研發與臨床探討(MOST106-2221-E-214-048,科技部,計畫主持人)
  • 定量腦波訊號分析在兒童癲癇停藥標記的探討(MOST106-2314-B-037-080-MY2,科技部,共同主持人)
  • 強化動作運用與核心穩定的體感運動於神經行為障礙兒童的臨床應用(MOST106-2221-E-214-022,科技部,共同主持人)
  • 以定量化腦波分析輔助注意力不集中及過動症診斷及療效評估(MOST105-2221-E-153-004,科技部,共同主持人)
  • 基於同步EEG-fMRI與機器學習之大腦功能網路連結建模與抗癲癇藥物療效預測(MOST104-2221-E-214-034-MY2,科技部,計畫主持人)
  • 線上腦波干擾波消除之癲癇發作預測(MOST104-2221-E-153-008,科技部,共同主持人)
  • 應用量化腦波與機器學習於抗癲癇藥物療效預測之研究(MSOT 103-2221-E-214-038-,科技部,計畫主持人)
  • 基於多重資料流探勘技術之癲癇發作與癲癇波關聯性分析(NSC 102-2221-E-214-053-,國科會,計畫主持人)
  • 模糊類神經建模於高效能演化式硬體影像雜訊過濾技術之研究(NSC 102-2221-E-390-018-,國科會,共同主持人)
  • 運用Type-2模糊類神經網路於癲癇腦波的干擾波去除與發作預測之研究(NSC 101-2221-E-214-070-,國科會,計畫主持人)
  • 基於時間及空間遞迴型模糊類神經網路之影像中移動物件偵測技術(NSC 100-2221-E-214-065-,國科會,計畫主持人)
  • 應用資料探勘技術於科技英文課程個人化推薦系統之建立與學習成效預測(NSC 100-2410-H-214-015-,國科會,共同主持人)
  • 累進析句策略在科技英文閱讀課程中之應用與系統研發(NSC 99-2410-H-214-024 -,國科會,共同主持人)
  • 區間型Type-2神模糊經系統之建構與學習(NSC 98-2221-E-214-043-,國科會,計畫主持人)
  • 影像中人體物件自動追蹤之研究(97-2221-E-214-059-,國科會,計畫主持人)
  • 智慧型影像中人體姿勢分析之研究(NSC 96-2221-E-214-061-,國科會,計畫主持人)
  • 影像中人體物件分割技術之研究(NSC 94-2218-E-214-014-,國科會,計畫主持人)
  • 產官學合作研究計畫
  • 2022/07/01~2024/04/30 人工智慧技術及應用人才培育第2 期計畫-子計畫三:人工智慧中小學推廣教育(協同主持人)
  • 2022/05/01~2024/04/30 基於深度學習與影像人體骨架偵測之智慧型步態參數分析系統研發(ISU-111-IUC-02)
  • 2021/12/01~2022/11/30 以深度學習為基礎之熱軋變形阻抗與軋延力設定模型優化學習(ISU110-IND096-006)
  • 2020/10/01~2021/09/30 以深度學習為基礎之智能熱軋排程系統製程模擬研究(ISU109-IND006-070)
  • 2019/05/01~2020/04/30 設備監診系統建置(ISU108-IND-50)
  • 2019/03/01~2020/02/28 以強化學習為基礎之熱軋排程參數學習研究(ISU108-IND006-96)
  • 2018/11/11~2018/12/31 人臉 3D模形重建與辨識技術報告(ISU107-IND-109)
  • 2018/03/01~2019/02/28 應用大數據分析於智能熱軋排程系統之循環建構與優化(ISU107-IND-63)
  • 2018/01/16~2018/11/15 運用人工智慧技術建構社區全人健康照護系統-發展「STEAM機器人創新自造衛星基地」(B106008,協同主持人)
  • 2017/03/01~2018/02/28 應用大數據分析於熱軋排程模板萃取與規則優化(ISU106-IND-87)
  • 2016/11/01~2017/02/28 熱軋排程規則分析前置研究(ISU105-IND-154)
  • 2015/09/01~2016/08/31 應用集群分析技術鑑別熱軋製程特性群組(ISU104-IND-73)
  • 2014/10/01~2015/05/31 應用巨量資料分析於TCM軋延異常成因分析(ISU103-IND-99)
  • 2012/05/01~2012/10/31 金屬製品廚具產業-智慧獨特與永續之創新廚具開發(班卡拉科技有限公司)(ISU101-FCS-12)
  • 2012/05/01~2012/10/31 金屬製品廚具產業-智慧獨特與永續之創新廚具開發(金沛螺絲企業有限公司)(ISU101-FCS-12)
  • 2011/07/01~2011/12/31 以機器學習為基礎之3D體感控制技術開發與實作(PS100110701)
  • 2011/01/01~2011/12/31 雲端運算環境中智慧型影片資訊索引技術之研發
  • 2010/04/15~2010/07/15 99年度雲端科技職業訓練供需評估調查計畫(990301-07)
  • 2010/09/01~2011/08/31 #2HSM粗軋機虛擬感測器模組及資料優化技術開發(ISU99-育-59)
  • 2009/07/01~2010/02/28 訊息融合及智能控制技術開發
  • 2009/07/01~2010/06/30 台灣雲端運算應用實驗中心研發計畫(98-EC-17-A-02-S2-0114)--分項計畫:現有服務的API語言之研究(ISU98-建-15)
  • 2009/09/01~2009/11/30 網路電腦遊戲之資料探勘(ISU98-育-45)
  • 2009/04/05~2009/10/05 Muzee網路遊戲之搜尋、分類與資料分析(ISU98-育-23)
  • 2008/11/01~2009/01/31 Muzee使用者喜好群組之分群分析(ISU97-育-66)
  • 2008/08/01~2008/10/31 利用資料探勘技術於Muzee使用者登錄資料庫之分析(ISU97-育-47)

 

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