8 citations · 8 across the 2 of their papers we have counts for
3 papers
cs.CV2021
Wider Vision: Enriching Convolutional Neural Networks via Alignment to External Knowledge Bases
Xuehao Liu, Sarah Jane Delany, Susan McKeever
Deep learning models suffer from opaqueness. For Convolutional Neural Networks (CNNs), current research strategies for explaining models focus on the target classes within the asso…
eess.IV2021
Feature Fusion of Raman Chemical Imaging and Digital Histopathology using Machine Learning for Prostate Cancer Detection
Trevor Doherty, Susan McKeever, Nebras Al-Attar +10
The diagnosis of prostate cancer is challenging due to the heterogeneity of its presentations, leading to the over diagnosis and treatment of non-clinically important disease. Accu…
cs.LG2020★ 8 cited
Explaining Deep Learning Models for Structured Data using Layer-Wise Relevance Propagation
hsan Ullah, Andre Rios, Vaibhav Gala +1
Trust and credibility in machine learning models is bolstered by the ability of a model to explain itsdecisions. While explainability of deep learning models is a well-known challe…