Arielle J. Lee

Publication Activity (10 Years)

Years Active: 2018-2019
Publications (10 Years): 4

Top Topics

Multi Task Learning

Kernel Machines

Dirichlet Process

Top Venues

Publications

Daniel Lopez Martinez, Ke Peng, Arielle J. Lee, David Borsook, Rosalind W. Picard
Pain Detection with fNIRS-Measured Brain Signals: A Personalized Machine Learning Approach Using the Wavelet Transform and Bayesian Hierarchical Modeling with Dirichlet Process Priors. ACII Workshops (2019)
Daniel Lopez Martinez, Ke Peng, Arielle J. Lee, David Borsook, Rosalind W. Picard
Pain Detection with fNIRS-Measured Brain Signals: A Personalized Machine Learning Approach Using the Wavelet Transform and Bayesian Hierarchical Modeling with Dirichlet Process Priors. CoRR (2019)
Daniel Lopez Martinez, Ke Peng, Sarah C. Steele, Arielle J. Lee, David Borsook, Rosalind W. Picard
Multi-task multiple kernel machines for personalized pain recognition from functional near-infrared spectroscopy brain signals. ICPR (2018)
Daniel Lopez Martinez, Ke Peng, Sarah C. Steele, Arielle J. Lee, David Borsook, Rosalind W. Picard
Multi-task multiple kernel machines for personalized pain recognition from functional near-infrared spectroscopy brain signals. CoRR (2018)