Profile The profile is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Alzheimer Disease Medicine & Life Sciences
Brain Medicine & Life Sciences
Learning algorithms Engineering & Materials Science
Disease Progression Medicine & Life Sciences
Factorization Engineering & Materials Science
Tensors Engineering & Materials Science
Neuroimaging Medicine & Life Sciences
Experiments Engineering & Materials Science

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Grants 2014 2021

Publications 2007 2017

  • 12 h-Index
  • 42 Conference contribution
  • 13 Article
  • 1 Chapter
  • 1 Editorial

An RNN architecture with dynamic temporal matching for personalized predictions of Parkinson's disease

Che, C., Xiao, C., Liang, J., Jin, B., Zhou, J. & Wang, F. 2017 Proceedings of the 17th SIAM International Conference on Data Mining, SDM 2017. Society for Industrial and Applied Mathematics Publications, p. 198-206 9 p.

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

Recurrent neural networks
Network architecture
2 Citations

Asynchronous multi-Task learning

Baytas, I. M., Yan, M., Jain, A. K. & Zhou, J. Jan 31 2017 Proceedings - 16th IEEE International Conference on Data Mining, ICDM 2016. Institute of Electrical and Electronics Engineers Inc., p. 11-20 10 p. 7837825

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

Learning systems
Communication

Feature selective temporal prediction of Alzheimer's disease progression using hippocampus surface morphometry

Tsao, S., Gajawelli, N., Zhou, J., Shi, J., Ye, J., Wang, Y. & Leporé, N. 2017 In : Brain and Behavior.

Research output: Contribution to journalArticle

Disease Progression
Hippocampus
Alzheimer Disease
Artificial Intelligence
Apolipoproteins E

Interactive multi-Task relationship learning

Lin, K. & Zhou, J. Jan 31 2017 Proceedings - 16th IEEE International Conference on Data Mining, ICDM 2016. Institute of Electrical and Electronics Engineers Inc., p. 241-250 10 p. 7837848

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

Learning algorithms
Learning systems

Latent Fingerprint Value Prediction: Crowd-based Learning

Chugh, T., Cao, K., Zhou, J., Tabassi, E. & Jain, A. K. Jun 28 2017 In : IEEE Transactions on Information Forensics and Security.

Research output: Contribution to journalArticle