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ORCIDSambuddha Ghosal
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2020 – today
- 2021
[i8]Sambuddha Ghosal, Audrey Xie, Pratik Shah:
Uncertainty Quantified Deep Learning for Predicting Dice Coefficient of Digital Histopathology Image Segmentation. CoRR abs/2109.00115 (2021)- 2020
- [i7]Sambuddha Ghosal, Pratik Shah:
Interpretable and synergistic deep learning for visual explanation and statistical estimations of segmentation of disease features from medical images. CoRR abs/2011.05791 (2020) - [i6]Luis G. Riera, Matthew E. Carroll, Zhisheng Zhang, Johnathon M. Shook, Sambuddha Ghosal, Tianshuang Gao, Arti Singh, Sourabh Bhattacharya, Baskar Ganapathysubramanian, Asheesh K. Singh, Soumik Sarkar:
Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications. CoRR abs/2011.07118 (2020)
2010 – 2019
- 2019
- [i5]Viraj Shah, Ameya Joshi, Sambuddha Ghosal, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde:
Encoding Invariances in Deep Generative Models. CoRR abs/1906.01626 (2019) - [i4]John Just, Sambuddha Ghosal:
Deep Generative Models Strike Back! Improving Understanding and Evaluation in Light of Unmet Expectations for OoD Data. CoRR abs/1911.04699 (2019) - 2018
- [j1]Sambuddha Ghosal
, David Blystone, Asheesh K. Singh, Baskar Ganapathysubramanian, Arti Singh, Soumik Sarkar:
An explainable deep machine vision framework for plant stress phenotyping. Proc. Natl. Acad. Sci. USA 115(18): 4613-4618 (2018) - [i3]Balaji Sesha Sarath Pokuri, Sambuddha Ghosal, Apurva Kokate, Baskar Ganapathysubramanian, Soumik Sarkar:
Interpretable deep learning for guided structure-property explorations in photovoltaics. CoRR abs/1811.06067 (2018) - 2017
- [i2]Sambuddha Ghosal, David Blystone, Asheesh K. Singh, Baskar Ganapathysubramanian, Arti Singh, Soumik Sarkar:
Interpretable Deep Learning applied to Plant Stress Phenotyping. CoRR abs/1710.08619 (2017) - 2016
- [c1]Chao Liu, Sambuddha Ghosal, Zhanhong Jiang, Soumik Sarkar:
An Unsupervised Spatiotemporal Graphical Modeling Approach to Anomaly Detection in Distributed CPS. ICCPS 2016: 1:1-1:10 - 2015
- [i1]Chao Liu, Sambuddha Ghosal, Zhanhong Jiang, Soumik Sarkar:
An unsupervised spatiotemporal graphical modeling approach to anomaly detection in distributed CPS. CoRR abs/1512.07876 (2015)
Coauthor Index
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