Ching-Hua Chuan

Research Associate Professor

  • 268 Citations
20052019
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  • 10 Similar Profiles
Rocks Engineering & Materials Science
Experiments Engineering & Materials Science
Hybrid systems Engineering & Materials Science
Knowledge based systems Engineering & Materials Science
Dynamic programming Engineering & Materials Science
Support vector machines Engineering & Materials Science
Learning systems Engineering & Materials Science
Time series Engineering & Materials Science

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Research Output 2005 2019

  • 268 Citations
  • 23 Conference contribution
  • 6 Article
  • 3 Paper

Artificial Intelligence and Journalism

Broussard, M., Diakopoulos, N., Guzman, A. L., Abebe, R., Dupagne, M. & Chuan, C. H., Sep 1 2019, In : Journalism and Mass Communication Quarterly. 96, 3, p. 673-695 23 p.

Research output: Contribution to journalArticle

mass media
artificial intelligence

Classifying Eligibility Criteria in Clinical Trials Using Active Deep Learning

Chuan, C-H., Jan 15 2019, Proceedings - 17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018. Wani, M. A., Sayed-Mouchaweh, M., Lughofer, E., Gama, J. & Kantardzic, M. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 305-310 6 p. 8614077. (Proceedings - 17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Convolution
Labels
Neural networks
Learning algorithms
Learning systems

Framing artificial intelligence in American newspapers

Chuan, C-H., Tsai, W. & Cho, S. Y., Jan 27 2019, AIES 2019 - Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society. Association for Computing Machinery, Inc, p. 339-344 6 p. (AIES 2019 - Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Artificial intelligence
Communication
Industry
1 Citation (Scopus)

From context to concept: exploring semantic relationships in music with word2vec

Chuan, C-H., Agres, K. & Herremans, D., Jan 1 2018, (Accepted/In press) In : Neural Computing and Applications.

Research output: Contribution to journalArticle

Vector spaces
Semantics

Modeling temporal tonal relations in polyphonic music through deep networks with a novel image-based representation

Chuan, C-H. & Herremans, D., Jan 1 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. AAAI Press, p. 2159-2166 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Recurrent neural networks
Convolution
Visualization
Neural networks
Deep neural networks