Sambuddha Ghosal

Orcid: 0000-0001-9424-5655

According to our database1, Sambuddha Ghosal authored at least 9 papers between 2016 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2021
Uncertainty Quantified Deep Learning for Predicting Dice Coefficient of Digital Histopathology Image Segmentation.
CoRR, 2021

2020
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, 2020

Interpretable and synergistic deep learning for visual explanation and statistical estimations of segmentation of disease features from medical images.
CoRR, 2020

2019
Deep Generative Models Strike Back! Improving Understanding and Evaluation in Light of Unmet Expectations for OoD Data.
CoRR, 2019

Encoding Invariances in Deep Generative Models.
CoRR, 2019

2018
An explainable deep machine vision framework for plant stress phenotyping.
Proc. Natl. Acad. Sci. USA, 2018

Interpretable deep learning for guided structure-property explorations in photovoltaics.
CoRR, 2018

2017
Interpretable Deep Learning applied to Plant Stress Phenotyping.
CoRR, 2017

2016
An Unsupervised Spatiotemporal Graphical Modeling Approach to Anomaly Detection in Distributed CPS.
Proceedings of the 7th ACM/IEEE International Conference on Cyber-Physical Systems, 2016


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