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04/24/2022
COVID-Net Biochem: An Explainability-driven Framework to Building Machine Learning Models for Predicting Survival and Kidney Injury of COVID-19 Patients from Clinical and Bioch
Ever since the declaration of COVID-19 as a pandemic by the World Health...
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09/14/2021
COVID-Net Clinical ICU: Enhanced Prediction of ICU Admission for COVID-19 Patients via Explainability and Trust Quantification
The COVID-19 pandemic continues to have a devastating global impact, and...
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04/29/2021
AttendSeg: A Tiny Attention Condenser Neural Network for Semantic Segmentation on the Edge
In this study, we introduce AttendSeg, a low-precision, highly compact d...
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12/07/2020
Inter-layer Information Similarity Assessment of Deep Neural Networks Via Topological Similarity and Persistence Analysis of Data Neighbour Dynamics
The quantitative analysis of information structure through a deep neural...
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11/03/2020
Insights into Fairness through Trust: Multi-scale Trust Quantification for Financial Deep Learning
The success of deep learning in recent years have led to a significant i...
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09/30/2020
Where Does Trust Break Down? A Quantitative Trust Analysis of Deep Neural Networks via Trust Matrix and Conditional Trust Densities
The advances and successes in deep learning in recent years have led to ...
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09/12/2020
How Much Can We Really Trust You? Towards Simple, Interpretable Trust Quantification Metrics for Deep Neural Networks
A critical step to building trustworthy deep neural networks is trust qu...
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11/21/2019
DeepLABNet: End-to-end Learning of Deep Radial Basis Networks with Fully Learnable Basis Functions
From fully connected neural networks to convolutional neural networks, t...
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10/15/2019
State of Compact Architecture Search For Deep Neural Networks
The design of compact deep neural networks is a crucial task to enable w...
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05/26/2019
Seeing Convolution Through the Eyes of Finite Transformation Semigroup Theory: An Abstract Algebraic Interpretation of Convolutional Neural Networks
Researchers are actively trying to gain better insights into the represe...
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11/10/2018
