Sambuddha Ghosal

11 papers C 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	C	`conf`	Deep Learning with Uncertainty Quantification for Predicting the Segmentation Dice Coefficient of Prostate Cancer Biopsy Images. ICMLA Audrey Xie, Elhoucine Elfatimi, Sambuddha Ghosal, Pratik Shah
2021	J	`jnl`	Uncertainty Quantified Deep Learning for Predicting Dice Coefficient of Digital Histopathology Image Segmentation. CoRR Sambuddha Ghosal, Audrey Xie, Pratik Shah
2020	J	`jnl`	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 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
2020	J	`jnl`	Interpretable and synergistic deep learning for visual explanation and statistical estimations of segmentation of disease features from medical images. CoRR Sambuddha Ghosal, Pratik Shah
2019	J	`jnl`	Deep Generative Models Strike Back! Improving Understanding and Evaluation in Light of Unmet Expectations for OoD Data. CoRR John Just, Sambuddha Ghosal
2019	J	`jnl`	Encoding Invariances in Deep Generative Models. CoRR Viraj Shah, Ameya Joshi, Sambuddha Ghosal, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde
2018	J	`jnl`	An explainable deep machine vision framework for plant stress phenotyping. Proc. Natl. Acad. Sci. USA Sambuddha Ghosal, David Blystone, Asheesh K. Singh, Baskar Ganapathysubramanian, Arti Singh, Soumik Sarkar
2018	J	`jnl`	Interpretable deep learning for guided structure-property explorations in photovoltaics. CoRR Balaji Sesha Sarath Pokuri, Sambuddha Ghosal, Apurva Kokate, Baskar Ganapathysubramanian, Soumik Sarkar
2017	J	`jnl`	Interpretable Deep Learning applied to Plant Stress Phenotyping. CoRR Sambuddha Ghosal, David Blystone, Asheesh K. Singh, Baskar Ganapathysubramanian, Arti Singh, Soumik Sarkar
2016	—	`conf`	An Unsupervised Spatiotemporal Graphical Modeling Approach to Anomaly Detection in Distributed CPS. ICCPS Chao Liu, Sambuddha Ghosal, Zhanhong Jiang, Soumik Sarkar
2015	J	`jnl`	An unsupervised spatiotemporal graphical modeling approach to anomaly detection in distributed CPS. CoRR Chao Liu, Sambuddha Ghosal, Zhanhong Jiang, Soumik Sarkar