Daniel Bone
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Daniel Bone has a total of 13 co-authors. Here are the top co-authors by number of shared publications:
Chi-Chun Lee
Electrica Engineering, National Tsing Hua University, Hsinchu, 300, Taiwan
1 shared publicationJames Gibson
Electrical Engineering, USC, Signal & Image Processing Institute, Los Angeles, United States
1 shared publication- Jangwon Kim
Department of Convergence IT Engineering, Pohang University of Science and Technology, 77 Cheongam-ro, Nam-gu, Pohang-si, Gyeongbuk, 36763, South Korea
1 shared publication Maarten Van Segbroeck
1 shared publicationMatthew P. Black
1 shared publication- Nasir
AI for Good Lab, Microsoft, Redmond, WA 98052, USA
1 shared publication
Latest Publications
- 6 September 2017
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Signal Processing Magazine
- Vol. 34 (5) , 196-195
Signal Processing and Machine Learning for Mental Health Research and Clinical Applications [Perspectives]
Human behavior offers a window into the mind. When we observe someone's actions, we are constantly inferring his or her mental states-their beliefs, intents, and knowledge-a concept known as theory of mind. For example.
- 6 September 2017
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Signal Processing Magazine
- Vol. 34 (5) , 196-195
Signal Processing and Machine Learning for Mental Health Research and Clinical Applications [Perspectives]
Human behavior offers a window into the mind. When we observe someone's actions, we are constantly inferring his or her mental states-their beliefs, intents, and knowledge-a concept known as theory of mind. For example.
- 6 September 2015
- Published by International Speech Communication Association
- p. 914-918
Automatic estimation of Parkinson's disease severity from diverse speech tasks
- 6 September 2015
- Published by International Speech Communication Association
- p. 914-918
Automatic estimation of Parkinson's disease severity from diverse speech tasks