Food image analysis for measuring food intake in free living conditions. - Robert DiBiano; Bahadir K. Gunturk; Corby K. Martin (Image Processing, 2013)

An Agile Framework for Real-Time Motion Tracking. - Saikat Basu; Robert DiBiano; Manohar Karki; Malcolm Stagg; Jerry Weltman; Supratik Mukhopadhyay; Sangram Ganguly (COMPSAC Workshops, 2015)

Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief Nets. - Saikat Basu; Manohar Karki; Sangram Ganguly; Robert DiBiano; Supratik Mukhopadhyay; Ramakrishna R. Nemani (ESANN, 2015)

DeepSat: a learning framework for satellite imagery. - Saikat Basu; Sangram Ganguly; Supratik Mukhopadhyay; Robert DiBiano; Manohar Karki; Ramakrishna R. Nemani (SIGSPATIAL/GIS, 2015)

MAPTrack - A Probabilistic Real Time Tracking Framework by Integrating Motion, Appearance and Position Models. - Saikat Basu; Manohar Karki; Malcolm Stagg; Robert DiBiano; Sangram Ganguly; Supratik Mukhopadhyay (VISAPP (3), 2015)

A Semiautomated Probabilistic Framework for Tree-Cover Delineation From 1-m NAIP Imagery Using a High-Performance Computing Architecture. - Saikat Basu; Sangram Ganguly; Ramakrishna R. Nemani; Supratik Mukhopadhyay; Gong Zhang; Cristina Milesi; Andrew R. Michaelis; Petr Votava; Ralph Dubayah; Laura Duncanson; Bruce D. Cook; Yifan Yu 007; et al. (IEEE Trans. Geosci. Remote. Sens., 2015)

A theoretical analysis of Deep Neural Networks for texture classification. - Saikat Basu; Manohar Karki; Supratik Mukhopadhyay; Sangram Ganguly; Ramakrishna R. Nemani; Robert DiBiano; Shreekant Gayaka (IJCNN, 2016)

A symbolic framework for recognizing activities in full motion surveillance videos. - Manohar Karki; Saikat Basu; Robert DiBiano; Supratik Mukhopadhyay; Jerry Weltman; Malcolm Stagg (SSCI, 2016)

Core Sampling Framework for Pixel Classification. - Manohar Karki; Robert DiBiano; Saikat Basu; Supratik Mukhopadhyay (ICANN (2), 2017)

Automated diagnostics for manufacturing machinery based on well-regularized deep neural networks. - Robert DiBiano; Supratik Mukhopadhyay (Integr., 2017)

Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets. - Saikat Basu; Manohar Karki; Sangram Ganguly; Robert DiBiano; Supratik Mukhopadhyay; Shreekant Gayaka; Rajgopal Kannan; Ramakrishna R. Nemani (Neural Process. Lett., 2017)

Pixel-Level Reconstruction and Classification for Noisy Handwritten Bangla Characters. - Manohar Karki; Qun Liu 004; Robert DiBiano; Saikat Basu; Supratik Mukhopadhyay (ICFHR, 2018)

CactusNets: Layer Applicability as a Metric for Transfer Learning. - Edward Collier; Robert DiBiano; Supratik Mukhopadhyay (IJCNN, 2018)

Deep neural networks for texture classification - A theoretical analysis. - Saikat Basu; Supratik Mukhopadhyay; Manohar Karki; Robert DiBiano; Sangram Ganguly; Ramakrishna R. Nemani; Shreekant Gayaka (Neural Networks, 2018)

DeepSat V2: Feature Augmented Convolutional Neural Nets for Satellite Image Classification. - Qun Liu 004; Saikat Basu; Sangram Ganguly; Supratik Mukhopadhyay; Robert DiBiano; Manohar Karki; Ramakrishna R. Nemani (CoRR, 2019)

Context-Aware Design of Cyber-Physical Human Systems (CPHS). - Supratik Mukhopadhyay; Subhajit Sidhanta; Arnab Ganguly 002; Qun Liu 004; Edward Collier; Yimin Zhu; Ravindra Gudishala; Chanachok Chokwitthaya; Robert DiBiano; Alimire Nabijiang; Sanaz Saeidi (COMSNETS, 2020)

Using Applicability to Quantifying Octave Resonance in Deep Neural Networks. - Edward Collier; Robert DiBiano; Supratik Mukhopadhyay (ICONIP (5), 2020)