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Robert DiBiano
Robert DiBiano
VP Engineering, Ailectric
Verified email at ailectric.com
Title
Cited by
Cited by
Year
Deepsat: a learning framework for satellite imagery
S Basu, S Ganguly, S Mukhopadhyay, R DiBiano, M Karki, R Nemani
Proceedings of the 23rd SIGSPATIAL international conference on advances in …, 2015
4012015
Deep neural networks for texture classification—A theoretical analysis
S Basu, S Mukhopadhyay, M Karki, R DiBiano, S Ganguly, R Nemani, ...
Neural Networks 97, 173-182, 2018
972018
Learning sparse feature representations using probabilistic quadtrees and deep belief nets
S Basu, M Karki, S Ganguly, R DiBiano, S Mukhopadhyay, S Gayaka, ...
Neural Processing Letters 45, 855-867, 2017
932017
A semiautomated probabilistic framework for tree-cover delineation from 1-m NAIP imagery using a high-performance computing architecture
S Basu, S Ganguly, RR Nemani, S Mukhopadhyay, G Zhang, C Milesi, ...
IEEE Transactions on Geoscience and Remote Sensing 53 (10), 5690-5708, 2015
522015
Deepsat v2: feature augmented convolutional neural nets for satellite image classification
Q Liu, S Basu, S Ganguly, S Mukhopadhyay, R DiBiano, M Karki, ...
Remote Sensing Letters 11 (2), 156-165, 2020
492020
A theoretical analysis of deep neural networks for texture classification
S Basu, M Karki, S Mukhopadhyay, S Ganguly, R Nemani, R DiBiano, ...
2016 international joint conference on neural networks (IJCNN), 992-999, 2016
392016
Cactusnets: Layer applicability as a metric for transfer learning
E Collier, R DiBiano, S Mukhopadhyay
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
222018
Combining context-aware design-specific data and building performance models to improve building performance predictions during design
C Chokwitthaya, Y Zhu, R Dibiano, S Mukhopadhyay
Automation in construction 107, 102917, 2019
212019
Automated diagnostics for manufacturing machinery based on well-regularized deep neural networks
R DiBiano, S Mukhopadhyay
Integration 58, 303-310, 2017
152017
A machine learning algorithm to improve building performance modeling during design
C Chokwitthaya, Y Zhu, R Dibiano, S Mukhopadhyay
MethodsX 7, 100726, 2020
122020
Pixel-level reconstruction and classification for noisy handwritten bangla characters
M Karki, Q Liu, R DiBiano, S Basu, S Mukhopadhyay
2018 16th International Conference on Frontiers in Handwriting Recognition …, 2018
122018
Enhancing the prediction of artificial lighting control behavior using virtual reality (VR): a pilot study
C Chokwitthaya, R Dibiano, S Saeidi, S Mukhopadhyay, Y Zhu
Construction Research Congress 2018, 216-223, 2018
112018
Core sampling framework for pixel classification
M Karki, R DiBiano, S Basu, S Mukhopadhyay
Artificial Neural Networks and Machine Learning–ICANN 2017: 26th …, 2017
102017
Food image analysis for measuring food intake in free living conditions
R Dibiano, BK Gunturk, CK Martin
Medical Imaging 2013: Image Processing 8669, 1005-1014, 2013
82013
Context-Aware Design of Cyber-Physical Human Systems (CPHS)
S Mukhopadhyay, Q Liu, E Collier, Y Zhu, R Gudishala, C Chokwitthaya, ...
2020 International Conference on COMmunication Systems & NETworkS (COMSNETS …, 2020
62020
Computer implemented system and method for high performance visual tracking
S Mukhopadhyay, S Basu, M Stagg, R DiBiano, M Karki, J Weltman
US Patent 10,757,369, 2020
32020
A symbolic framework for recognizing activities in full motion surveillance videos
M Karki, S Basu, R DiBiano, S Mukhopadhyay, J Weltman, M Stagg
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2016
22016
An agile framework for real-time motion tracking
S Basu, R Dibiano, M Karki, M Stagg, J Weltman, S Mukhopadhyay, ...
2015 IEEE 39th Annual Computer Software and Applications Conference 3, 205-210, 2015
22015
Maptrack-a probabilistic real time tracking framework by integrating motion, appearance and position models
S Basu, M Karki, M Stagg, R DiBiano, S Ganguly, S Mukhopadhyay
International Conference on Computer Vision Theory and Applications 2, 567-574, 2015
22015
Using applicability to quantifying octave resonance in deep neural networks
E Collier, R DiBiano, S Mukhopadhyay
Neural Information Processing: 27th International Conference, ICONIP 2020 …, 2020
12020
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