高 宏宇

Professor

  • 916 引文
  • 13 h-指數
19982020
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個人檔案

學歷

  • 2003 國立台灣大學電機工程系博士

研究專長

  • 資料探勘
  • 資訊檢索
  • 機器學習

經歷

  • 2004年8月~2011年7月 國立成功大學醫學資訊研究所助理教授
  • 2011年8月~2014年7月 國立成功大學醫學資訊研究所副教授

指紋 查看啟用 Hung-Yu Kao 的研究主題。這些主題標籤來自此人的作品。共同形成了獨特的指紋。

Websites Engineering & Materials Science
Genes Engineering & Materials Science
Data Mining Medicine & Life Sciences
Blogs Engineering & Materials Science
Proteins Engineering & Materials Science
Experiments Engineering & Materials Science
Ontology Engineering & Materials Science
PubMed Medicine & Life Sciences

網絡 國家層面的近期外部合作。點選圓點深入探索詳細資料。

研究計畫 2004 2020

研究成果 1998 2019

C-3PO: Click-sequence-aware deeP neural network (DNN)-based Pop-uPs recOmmendation: I know you’ll click

Huang, T. T. H. D. & Kao, H. Y., 2019 十一月 1, 於 : Soft Computing. 23, 22, p. 11793-11799 7 p.

研究成果: Article

Application programs
Recommendations
Neural Networks
Collaborative filtering
Recommender systems
2 引文 (Scopus)

R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD Malware Detections

Huang, T. H. D. & Kao, H-Y., 2019 一月 22, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Song, Y., Liu, B., Lee, K., Abe, N., Pu, C., Qiao, M., Ahmed, N., Kossmann, D., Saltz, J., Tang, J., He, J., Liu, H. & Hu, X. (編輯). Institute of Electrical and Electronics Engineers Inc., p. 2633-2642 10 p. 8622324. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

研究成果: Conference contribution

Color
Neural networks
Color codes
Experiments
Convolution

Data-Driven and Deep Learning Methodology for Deceptive Advertising and Phone Scams Detection

Huang, T. H. D., Yu, C. M. & Kao, H. Y., 2018 五月 9, Proceedings - 2017 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2017. Institute of Electrical and Electronics Engineers Inc., p. 166-171 6 p. (Proceedings - 2017 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2017).

研究成果: Conference contribution

Marketing
Smartphones
Application programs
Learning systems
Neural networks
1 引文 (Scopus)

CDRnN: A high performance chemical-disease recognizer in biomedical literature

Lee, H. C. & Kao, H-Y., 2017 十二月 15, Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017. Yoo, I., Zheng, J. H., Gong, Y., Hu, X. T., Shyu, C-R., Bromberg, Y., Gao, J. & Korkin, D. (編輯). Institute of Electrical and Electronics Engineers Inc., p. 374-379 6 p. (Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017; 卷 2017-January).

研究成果: Conference contribution

Data Mining
Knowledge Bases
PubMed
Names
Biomedical Research
3 引文 (Scopus)

k- -anonymization of multiple shortest paths

Wang, S. L., Tsai, Y. C., Hong, T. P. & Kao, H-Y., 2017 八月 1, 於 : Soft Computing. 21, 15, p. 4215-4226 12 p.

研究成果: Article

Shortest path
Privacy
Path Length
Experiments
Path

論文

An enhanced CRF-based Method for Disease Named Entity Recognition and Normalization in Biomedical Literature

作者: 昕純, 李., 2016 八月 11

監督員: Kao, H. (Supervisor)

學生論文: Master's Thesis

Augmented Collaborative Filtering Recommendation with Implicit Negative Feedback

作者: 顥瀚, 許., 2017 九月 12

監督員: Kao, H. (Supervisor)

學生論文: Master's Thesis

Chinese Ancient Paragraph Matching By Topical Sentence Representation

作者: 修宏, 葉., 2018 八月 2

監督員: Kao, H. (Supervisor)

學生論文: Master's Thesis

Conditional Sequence Generative Adversarial Learning with Attention-Based Rewards

作者: 子健, 蔡., 2018 七月 26

監督員: Kao, H. (Supervisor)

學生論文: Master's Thesis

Context-aware Implicit Feedback Recommendation based on Repeat Consumption Behaviors

作者: 璨瑜, 楊., 2016 八月 30

監督員: Kao, H. (Supervisor)

學生論文: Master's Thesis