Robert DiBiano

According to our database, Robert DiBiano authored at least 17 papers between 2013 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Using Applicability to Quantifying Octave Resonance in Deep Neural Networks.

Edward Collier, Robert DiBiano, Supratik Mukhopadhyay

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Context-Aware Design of Cyber-Physical Human Systems (CPHS).

Supratik Mukhopadhyay, Subhajit Sidhanta, Arnab Ganguly, Qun Liu, Edward Collier, Yimin Zhu, Ravindra Gudishala, Chanachok Chokwitthaya, Robert DiBiano, Alimire Nabijiang, Sanaz Saeidi

Proceedings of the 2020 International Conference on COMmunication Systems & NETworkS, 2020

2019

DeepSat V2: Feature Augmented Convolutional Neural Nets for Satellite Image Classification.

Qun Liu, Saikat Basu, Sangram Ganguly, Supratik Mukhopadhyay, Robert DiBiano, Manohar Karki, Ramakrishna R. Nemani

CoRR, 2019

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

CactusNets: Layer Applicability as a Metric for Transfer Learning.

Edward Collier, Robert DiBiano, Supratik Mukhopadhyay

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Pixel-Level Reconstruction and Classification for Noisy Handwritten Bangla Characters.

Manohar Karki, Qun Liu, Robert DiBiano, Saikat Basu, Supratik Mukhopadhyay

Proceedings of the 16th International Conference on Frontiers in Handwriting Recognition, 2018

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

Automated diagnostics for manufacturing machinery based on well-regularized deep neural networks.

Robert DiBiano, Supratik Mukhopadhyay

Integr., 2017

Core Sampling Framework for Pixel Classification.

Manohar Karki, Robert DiBiano, Saikat Basu, Supratik Mukhopadhyay

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

2016

A symbolic framework for recognizing activities in full motion surveillance videos.

Manohar Karki, Saikat Basu, Robert DiBiano, Supratik Mukhopadhyay, Jerry Weltman, Malcolm Stagg

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

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

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

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, Sassan Saatchi, Robert DiBiano, Manohar Karki, Edward Boyda, Uttam Kumar, Shuang Li

IEEE Trans. Geosci. Remote. Sens., 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

Proceedings of the VISAPP 2015, 2015

DeepSat: a learning framework for satellite imagery.

Saikat Basu, Sangram Ganguly, Supratik Mukhopadhyay, Robert DiBiano, Manohar Karki, Ramakrishna R. Nemani

Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 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

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

An Agile Framework for Real-Time Motion Tracking.

Saikat Basu, Robert DiBiano, Manohar Karki, Malcolm Stagg, Jerry Weltman, Supratik Mukhopadhyay, Sangram Ganguly

Proceedings of the 39th Annual Computer Software and Applications Conference, 2015

2013

Food image analysis for measuring food intake in free living conditions.

Robert DiBiano, Bahadir K. Gunturk, Corby K. Martin

Proceedings of the Medical Imaging 2013: Image Processing, 2013