著作發表

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著作發表

Publication
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期刊論文 Journal Papers

  1. B. S. Lin, I. J. Lee, C. S. Fahn, Y. F. Lee, W. J. Chou, and M. L. Wu "Depth-Camera Based Energy Expenditure Estimation System for Physical Activity Using Posture Classification Algorithm," Sensors, vol. 21, no. 12, pp. 4216, June 2021. doi:10.3390/s21124216 (included in SCI & EI)
  2. Y. S. Chen, S. W. Chiang, and M. L. Wu, "A Few-Shot Transfer Learning Approach Using Text-label Embedding with Legal Attributes for Law Article Prediction," Applied Intelligence, May 2021. doi:10.1007/s10489-021-02516-x (included in SCI & EI)
  3. C. S. Fahn, G. Ling, M. Y. Yeh, P. Y. Huang, and M. L. Wu, “Abnormal Maritime Activity Detection in Satellite Image Sequences Using Trajectory Features,” International Journal of Future Computer and Communication, vol. 8, no. 1, pp. 29-33, 2019. doi:10.18178/ijfcc.2019.8.1.535 (included in EI)
  4. C. S. Fahn, and S. E. Lee, and M. L. Wu “Real-Time Musical Conducting Gesture Recognition Based on a Dynamic Time Warping Classifier Using a Single-Depth Camera,” Applied Sciences, vol. 9, no. 3, pp. 528-538, Feb. 2019. doi: 10.3390/app9030528 (included in SCI)
  5. M. L. Wu, C. S. Fahn, and Y. F. Chen, “Image-format-independent Tampered Image Detection Based on Overlapping Concurrent Directional Patterns and Neural Networks.” Applied Intelligence, pp. 1-15, Mar. 2017. doi: 10.1007/s10489-017- 0893-4 (included in SCI & EI)
  6. M. L. Wu, C. S. Fahn, C. Y. Kao, and C. B. Yao, “Exploiting AdaRank Model and Trajectory of Hand Motion for Hand Gesture Recognition,” Sensor Letters, vol. 14, no. 10, pp. 1061-1065, Oct. 2016. doi: 10.1166/sl.2016.3743 (included in SCI & EI)

研討會論文 Conference Papers

  1. M. L. Wu, G. Lin, and P. C. Yu, "On the development of a legal penalty prediction system for drunk driving cases," in Proceedings of the International Conference on Machine Learning and Cybernetics, Toyama, Japan, 2022.
  2. C. S. Fahn, M. L. Wu, and S. K. Tsau, "An intelligent photographing guiding system based on compositional deep features and intepretable machine learning model," To Appear in Proceedings of the International Conference on Pattern Recognition, Milan, Italy, 2021.
  3. C. S. Fahn, Y. L. Wang, C. P. Lee, and M. L. Wu, "A novel Chinese reading comprehension model based on attention mechanism and convolutional neural networks," To Appear in Proceedings of the International Conference on Machine Learning and Cybernetics, Adelaide, Australia, 2020.
  4. C. S. Fahn, T. Y. Wu, and M. L. Wu, "A Cross-Dataset Evaluation of Anti-Face-Spoofing Methods Using Random Forest and Convolutional Neural Network," in Proceedings of the International Conference on Asian Digital Image Processing, Kobe, Japan, 2019.
  5. C. S. Fahn, J. Ling, M. Y. Yeh, and M. L. Wu, "A Real-Time Cloud Detection System Using an End-to-End Multiscale Deep Learning Approach," in Proceedings of the International Conference on Astronautics and Space Exploration, Hsinchu, Taiwan, 2019.
  6. C. S. Fahn, J. Ling, M. Y. Yeh, M. L. Wu, Y .C. Lan, W. Y. Chao, H. C. Wu, Y. C. Huang, and T. Y. Lu, "A novel cloud detection and satellite attitude planning method for captuing cloudless remote sensing images," in Proceedings of the International Conference on Artificial Intelligence and Soft Computing, Bangkok, Thailand, 2019.
  7. C. S. Fahn, J. Ling, M. Y. Yeh, and M. L. Wu, "A Novel Cloud Detection and Satellite Attitude Planning Method for Capturing Cloudless Remote Sensing Images," in Proceedings of the Astronautical Exploration Technology Workshop, Hsinchu, Taiwan, 2019.
  8. Y. S. Chen, H. C. Chi, M. L. Wu, and E. C. Sung, “A Machine Learning Based Prediction System of Medical Laws Judgment Using Statute-Classified Decision Tree with Text Similarity,” in Proceedings of TANET 2018, Taoyuan, Taiwan, Oct. 2018, pp. 1253-1258. doi: 10.1109/TENCON.2018.8650544 (Best Paper Award)
  9. C. S. Fahn, C. Y. Pan, and M. L. Wu, “An Aesthetic Preference Prediction System for Assessing Natural Images Based on Photo Complexity and Composition Evaluation,” in Proceedings of IEEE Region 10 Conference, Jeju, South Korea, Oct. 2018, pp. 634-639. doi: 10.1109/TENCON.2018.8650544
  10. M. L. Wu and C. S. Fahn, “A Real-time Professional Photographing Guiding System through Image Composition Analysis,” in Proceedings of International Conference on Human-Computer Interaction, Vancouver, Canada, Jul. 2017, pp. 466-477. doi: 10.1007/978-3-319-57987-0_38
  11. C. S. Fahn, M. L. Wu, and C. C. Liu, “A Surveillance Video Condensation System Based on the Spatial and Temporal Rearrangement of Moving Object Trajectories,” in Proceedings of International Workshop on Advanced Image Technology, Penang, Malaysia, Jan. 2017.
  12. M. L. Wu and C. S. Fahn, “A Decision Tree Based Image Enhancement Instruction System for Producing Contemporary Style Images,” in Proceedings of International Conference on Human-Computer Interaction, Toronto, Canada, Jul. 2016, pp. 80-90, doi: 10.1007/978-3-319-40349-6_9
  13. H. F. Ho, M. L. Wu, P. Y. Hsiao, and G. A. Chen, “Feasibility of an Asymmetric Hyperboloid Mirror for Surveillance Systems,” in Proceedings of International Conference on Digital Signal Processing, Singapore, Singapore, Jul. 2015, pp. 868-872. doi: 10.1109/ICDSP.2015.7252000
  14. C. S. Fahn, B. Y. Su, and M. L. Wu, “Vision-based Identification Extraction for Freight Containers,” in Proceedings of International Conference on Wavelet Analysis and Pattern Recognition, Guangzhou, China, Jul. 2015, pp. 51-57. doi: 10.1109/ICWAPR.2015.7295925
  15. C. S. Fahn, B. Y. Su, and M. L. Wu, “A Virtual Handwriting Tablet Based on Pen Shadow Cues,” in Proceedings of International Conference on Human-Computer Interaction, Crete, Greece, Jun. 2014, pp. 224-233. doi: 10.1007/978-3-319-07230-2_22
  16. C. S. Fahn and M. L. Wu, “An Autonomous Aesthetics-driven Photographing Instructor with Personality Prediction,” in Proceedings of International Conferences on Computer Graphics, Visualization, Computer Vision, and Game Technology, Jakarta, Indonesia, Dec. 2013, pp. 13-19. doi:10.2991/visio-13.2014.3
  17. C. S. Fahn, M. L. Wu, and W. T. Liu, “On the Use of Augmented Reality Technology for Creating Interactive Computer Games,” in Proceedings of Virtual, Augmented and Mixed Reality. Systems and Applications, Las Vegas, Nevada, Jul. 2013, pp. 353-362. doi:10.1007/978-3-642-39420-1_37

專書論文 Book Chapters

  • C. S. Fahn and M. L. Wu, “On the Design of a Photo Beauty Measurement Mechanism,” in Perception of Beauty, M. P. Levine, Ed. Rijeka, Croatia: IntechOpen, 2017. doi:10.5772/intechopen.69502

專利 Patents

  1. C. S. Fahn and M. L. Wu, “自動尋景拍攝方法及其系統,” R.O.C. Patent I532361, May 1, 2016.
  2. C. S. Fahn, M. L. Wu, and C. C. Liu, “一種影片濃縮之系統及方法,” R.O.C. Patent I511058, December 1, 2015.
  3. C. S. Fahn and M. L. Wu, “Automatic photographing method and system thereof,” U. S. Patent 9 106 838, August 11, 2015.

科技部計畫 Project

  • 2021 基於人工智慧的法律科技技術研發–法學資料檢索與案件結果預測(MOST 110-2222-E-032-004-)
  • 2020 基於人工智慧之刑法量刑預測技術和系統(109-2221-E-305-014) (共同主持人)