Irene Kim
Publications 2
May 1, 2019 in ICASSP (International Conference on Acoustics, Speech, and Signal Processing)
#1Jayaraman J. Thiagarajan (ASU: Arizona State University)H-Index: 10
#2Irene KimH-Index: 1
Last.Peer-Timo Bremer (LLNL: Lawrence Livermore National Laboratory)H-Index: 27
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Techniques for understanding the functioning of complex machine learning models are becoming increasingly popular, not only to improve the validation process, but also to extract new insights about the data via exploratory analysis. Though a large class of such tools currently exists, most assume that predictions are point estimates and use a sensitivity analysis of these estimates to interpret the model. Using lightweight probabilistic networks we show how including prediction uncertainties in ...
#1Rushil AnirudhH-Index: 5
Last.Wolfgang PolonikH-Index: 1
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We present an approach to model time series data from resting state fMRI for autism spectrum disorder (ASD) severity classification. We propose to adopt kernel machines and employ graph kernels that define a kernel dot product between two graphs. This enables us to take advantage of spatio-temporal information to capture the dynamics of the brain network, as opposed to aggregating them in the spatial or temporal dimension. In addition to the conventional similarity graphs, we explore the use of ...