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Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis
Tawsik Jawad, Gowtham Atluri, Vikram Ravindra
Electroencephalograph (EEG) timeseries signals are characterized by significant noise and coarse spatial resolution, which complicates the classification of neurodegenerative disea…
Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks
Saurabh Agrawal, Michael Steinbach, Daniel Boley +5
In many domains, there is significant interest in capturing novel relationships between time series that represent activities recorded at different nodes of a highly complex system…
Spatio-Temporal Data Mining: A Survey of Problems and Methods
Gowtham Atluri, Anuj Karpatne, Vipin Kumar
Large volumes of spatio-temporal data are increasingly collected and studied in diverse domains including, climate science, social sciences, neuroscience, epidemiology, transportat…
Theory-guided Data Science: A New Paradigm for Scientific Discovery from Data
Anuj Karpatne, Gowtham Atluri, James Faghmous +6
Data science models, although successful in a number of commercial domains, have had limited applicability in scientific problems involving complex physical phenomena. Theory-guide…