Large-scale Clinical Interpretation of Genetic Variants Using Evolutionary Data and Deep Learning
On 23 Dec, 2020 By admin 0 Comments
Deep Learning
Deep learning: A Philosophical Introduction
On 2 Dec, 2020 By admin 0 Comments
August, 2019
Abstract
Adversarial Attacks Against Medical Deep Learning Systems
On 22 Oct, 2020 By admin 0 Comments
February, 2019
Abstract
Software Engineering Challenges of Deep Learning
On 16 Oct, 2020 By admin 0 Comments
October, 2018
Abstract
Shortcut Learning in Deep Neural Networks
On 28 Aug, 2020 By admin 0 Comments
May, 2020
Abstract
Machine Learning in Epidemiology and Health Outcomes Research
On 28 Aug, 2020 By admin 0 Comments
Big Data and Artificial Intelligence Modeling for Drug Discovery
On 28 Aug, 2020 By admin 0 Comments
Deep Learning: The Good, the Bad, and the Ugly
On 28 Aug, 2020 By admin 0 Comments
A Metric Learning Reality Check
On 30 May, 2020 By admin 0 Comments
Abstract
Deep metric learning papers from the past four years have consistently claimed great advances in accuracy, often more than doubling the performance of decade-old methods. In this paper, we take a closer look at the field to see if this is actually true. We find flaws in the experimental setup of these papers, and propose a new way to evaluate metric learning algorithms. Finally, we present experimental results that show that the improvements over time have been marginal at best.
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
On 30 Mar, 2017 By admin 0 Comments