1.7k citations · 1.8k across the 10 of their papers we have counts for
10 papers
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…
A Review on MR Based Human Brain Parcellation Methods
Pantea Moghimi, Anh The Dang, Theoden I. Netoff +2
Brain parcellations play a ubiquitous role in the analysis of magnetic resonance imaging (MRI) datasets. Over 100 years of research has been conducted in pursuit of an ideal brain…
Progress in developing a hybrid deep learning algorithm for identifying and locating primary vertices
Simon Akar, Gowtham Atluri, Thomas Boettcher +7
The locations of proton-proton collision points in LHC experiments are called primary vertices (PVs). Preliminary results of a hybrid deep learning algorithm for identifying and lo…
Fingerprinting Encrypted Voice Traffic on Smart Speakers with Deep Learning
Chenggang Wang, Sean Kennedy, Haipeng Li +5
This paper investigates the privacy leakage of smart speakers under an encrypted traffic analysis attack, referred to as voice command fingerprinting. In this attack, an adversary…
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…
CLINIQA: A Machine Intelligence Based Clinical Question Answering System
M A H Zahid, Ankush Mittal, R. C. Joshi +1
The recent developments in the field of biomedicine have made large volumes of biomedical literature available to the medical practitioners. Due to the large size and lack of effic…
Mining Sub-Interval Relationships In Time Series Data
Saurabh Agrawal, Saurabh Verma, Gowtham Atluri +5
Time-series data is being increasingly collected and stud- ied in several areas such as neuroscience, climate science, transportation, and social media. Discovery of complex patter…
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…
Enhancing the functional content of protein interaction networks
Gaurav Pandey, Sahil Manocha, Gowtham Atluri +1
Protein interaction networks are a promising type of data for studying complex biological systems. However, despite the rich information embedded in these networks, they face impor…