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11/02/2022
An Aggregation of Aggregation Methods in Computational Pathology
Image analysis and machine learning algorithms operating on multi-gigapi...
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06/16/2022
Rank the triplets: A ranking-based multiple instance learning framework for detecting HPV infection in head and neck cancers using routine H E images
The aetiology of head and neck squamous cell carcinoma (HNSCC) involves ...
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01/28/2022
REET: Robustness Evaluation and Enhancement Toolbox for Computational Pathology
Motivation: Digitization of pathology laboratories through digital slide...
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12/17/2021
Towards Launching AI Algorithms for Cellular Pathology into Clinical Pharmaceutical Orbits
Computational Pathology (CPath) is an emerging field concerned with the ...
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06/14/2021
Now You See It, Now You Dont: Adversarial Vulnerabilities in Computational Pathology
Deep learning models are routinely employed in computational pathology (...
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12/27/2019
Learning Neural Activations
An artificial neuron is modelled as a weighted summation followed by an ...
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11/03/2019
Generalized Learning with Rejection for Classification and Regression Problems
Learning with rejection (LWR) allows development of machine learning sys...
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05/06/2019
An embarrassingly simple approach to neural multiple instance classification
Multiple Instance Learning (MIL) is a weak supervision learning paradigm...
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01/07/2019
Ten ways to fool the masses with machine learning
If you want to tell people the truth, make them laugh, otherwise they'll...
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11/16/2018
A generalized meta-loss function for distillation and learning using privileged information for classification and regression
Learning using privileged information and distillation are powerful mach...
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11/11/2018
Machine Learning with Abstention for Automated Liver Disease Diagnosis
This paper presents a novel approach for detection of liver abnormalitie...
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11/21/2017
Training large margin host-pathogen protein-protein interaction predictors
Detection of protein-protein interactions (PPIs) plays a vital role in m...
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11/14/2017