ϯ marks corresponding author.
Group by Year
Health
- H. Ding, Z. Gu, P. Dai, Z Zhou, L. Wang, X. Wu, Deep connected attention (DCA) ResNet for robust voice pathology detection and classification, Biomedical Signal Processing and Control vol 70, pp 102973, 2021.
- P. Dai, F. Gwadry-Sridhar, M. Bauer, M. Borrie and X. Teng, Healthy Cognitive Aging: a hybrid random vector functional-link model for the analysis of Alzheimer's disease, the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), San Francisco, California USA, 4-9 Feb, 2017.
- P. Dai, F. Gwadry-Sridhar, M. Bauer, and M. Borrie, Bagging Ensembles for the Diagnosis and Prognostication of Alzheimer's Disease, the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), Phoenix, Arizona, USA, 12-17 Feb, 2016.
- P. Dai, F. Gwadry-Sridhar, M. Bauer, M. Borrie, and X. Teng, Longitudinal Brain Structure Changes in Health/MCI Patients: A Deep Learning Approach for the Diagnosis and Prognosis of Alzheimer's Disease, Alzheimer's Association International Conference (AAIC), Toronto, ON, Canada, 24-27 July, 2016. (Poster)
- X. Teng, P. Dai, F. Gwadry-Sridhar, M. Borrie, Clinical Feature Vs Artificial Intelligence Feature: Risk Factor Analysis Based on Deep Learning, Alzheimer's Association International Conference (AAIC), Toronto, ON, Canada, 24-27 July, 2016.
- P. Dai, F. Gwadry-Sridhar, M. Bauer, and M. Borrie, A hybrid manifold learning algorithm for the diagnosis and prognostication of Alzheimer's disease, AMIA 2015 Annual Symposium, San Francisco, CA, USA, 14-18 Nov, 2015.
- P. Dai, F. Gwadry-Sridhar, M. Bauer, and M. Borrie, Structural Differences in Cognitively Normal, Mild Cognitive Impairment, and Alzheimer's Disease Individuals: A Novel Study Based on Brain Symmetry, Alzheimer's Association International Conference (AAIC), Washington D.C., USA, 18-23 July, 2015.
Device & Signal Processing [Patent]
- V.R. Rao, P. Dai, H. Liang, M.I. Khailil, J. Lu, Systems, devices and methods for distributed hierarchical video analysis, WO2022148108A1.
- P. Dai, J. Lu, B. Sekar, W. Li, J. Xu, R. Li, Semi-supervised hybrid clustering/classification system, US Patent 11,023,710
- J. Lu, S.M. SIAM, W. Zhou, P. Dai, X. Wu, S. Xu, Methods and systems for hand gesture-based control of a device, Patent WO2021184356A1
- B. Sekar, J. Lu, P. Dai, W. Li, J. Xu, Intelligent video interaction method, US Patent 10,979,761
- P. Dai and S. S. Ho, A Smartphone User Activity Prediction Framework Utilizing Partial Repetitive and Landmark Behaviors, IEEE International Conference on Mobile Data Management (MDM), Brisbane, Australia, 14-18 July, 2014.
- P. Dai and I. Y. Soon, An Improved Model of Masking Effects for Robust Speech Recognition System, Speech Communication, vol 55, pp. 387-396, 2013.
- P. Dai and I. Y. Soon, Robust Speech Recognition by Using Spectral Subtraction with Noise Peak Shifting, IET Signal Processing, Volume 7, issue 8, p. 684 - 692, 2013.
- P. Dai and I. Y. Soon, A Temporal Frequency Warped (TFW) 2D Psychoacoustic Filter for Robust Speech Recognition System, Speech Communication, vol. 54, pp. 402-413, 2012.
