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08/31/2021
Uncertainty Quantified Deep Learning for Predicting Dice Coefficient of Digital Histopathology Image Segmentation
Deep learning models (DLMs) can achieve state of the art performance in ...
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11/13/2020
Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications
Reliable seed yield estimation is an indispensable step in plant breedin...
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Interpretable and synergistic deep learning for visual explanation and statistical estimations of segmentation of disease features from medical images
Deep learning (DL) models for disease classification or segmentation fro...
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11/12/2019
Deep Generative Models Strike Back! Improving Understanding and Evaluation in Light of Unmet Expectations for OoD Data
Advances in deep generative and density models have shown impressive cap...
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Encoding Invariances in Deep Generative Models
Reliable training of generative adversarial networks (GANs) typically re...
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11/14/2018
Interpretable deep learning for guided structure-property explorations in photovoltaics
The performance of an organic photovoltaic device is intricately connect...
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