Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 3 Similar Profiles
MicroRNAs Medicine & Life Sciences
Genes Engineering & Materials Science
RNA Medicine & Life Sciences
Electroencephalography Engineering & Materials Science
Gene Regulatory Networks Medicine & Life Sciences
Gene expression Engineering & Materials Science
Transcription factors Engineering & Materials Science
Methylation Medicine & Life Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2014 2017

Methylation
RNA
Research
Messenger RNA
RNA Stability

Research Output 1999 2018

Deep learning models for EEG-based rapid serial visual presentation event classification

Zhang, F. Q., Mao, Z. J., Huang, Y. F., Xu, L. & Ding, G. Y. Jan 1 2018 In : Journal of Information Hiding and Multimedia Signal Processing. 9, 1, p. 177-187 11 p.

Research output: Research - peer-reviewArticle

Image enhancement
Electroencephalography
Convolution
Learning algorithms
Learning systems

A deep learning model for predicting transcription factor binding location at single nucleotide resolution

Salekin, S., Zhang, J. M. & Huang, Y. Apr 11 2017 2017 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017. Institute of Electrical and Electronics Engineers Inc., p. 57-60 4 p. 7897204

Research output: ResearchConference contribution

Transcription factors
Nucleotides
Deep learning
Transcription Factors
Learning

Deep transfer learning for cross-subject and cross-experiment prediction of image rapid serial visual presentation events from EEG data

Hajinoroozi, M., Mao, Z., Lin, Y. P. & Huang, Y. 2017 Augmented Cognition: Neurocognition and Machine Learning - 11th International Conference, AC 2017 Held as Part of HCI International 2017, Proceedings. Springer Verlag, Vol. 10284 LNAI, p. 45-55 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10284 LNAI)

Research output: ResearchConference contribution

Transfer Learning
Prediction
Experiment
Presentation
Electroencephalogram

Prediction of fatigue-related driver performance from EEG data by deep Riemannian model

Hajinoroozi, M., Zhang, J. & Huang, Y. Sep 13 2017 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 4167-4170 4 p. 8037774

Research output: ResearchConference contribution

Electroencephalography
Fatigue of materials
Fatigue
Covariance matrix
Classifiers

Prediction of temperature induced office worker's performance during typing task using EEG

Nayak, T., Zhang, T., Mao, Z., Xu, X., Pack, D. J., Dong, B. & Huang, Y. Sep 13 2017 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1684-1687 4 p. 8037165

Research output: ResearchConference contribution

Electroencephalography
Temperature
Skin Temperature
Heart Rate
Brain