Home /
Research
Showing 235 - 240 / 904
Artificial Intelligence applied to chest X-Ray images for the automatic detection of COVID-19. A thoughtful evaluation approach
JulianD.Arias-Londoño, JorgeA.Gomez-Garcia, LaureanoMoro-Velazquez....
Published date-11/29/2020
COVID-19Diagnosis
Current standard protocols used in the clinic for diagnosing COVID-19 include molecular or antigen tests, generally complemented by a plain chest X-Ray. The combined analysis aims to reduce the significant …
Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules
JohannesKlicpera, ShankariGiri, JohannesT.Margraf....
Published date-11/28/2020
Many important tasks in chemistry revolve around molecules during reactions. This requires predictions far from the equilibrium, while most recent work in machine learning for molecules has been focused on …
Clinical prediction system of complications among COVID-19 patients: a development and validation retrospective multicentre study
GhadeerO.Ghosheh, BanaAlamad, Kai-WenYang....
Published date-11/28/2020
ModelSelection
Existing prognostic tools mainly focus on predicting the risk of mortality among patients with coronavirus disease 2019. However, clinical evidence suggests that COVID-19 can result in non-mortal complications that affect …
Understanding How BERT Learns to Identify Edits
SamuelStevens, YuSu....
Published date-11/28/2020
Pre-trained transformer language models such as BERT are ubiquitous in NLP research, leading to work on understanding how and why these models work. Attention mechanisms have been proposed as a …
Differences between human and machine perception in medical diagnosis
TaroMakino, StanislawJastrzebski, WitoldOleszkiewicz....
Published date-11/28/2020
BreastCancerDetection, MedicalDiagnosis
Deep neural networks (DNNs) show promise in image-based medical diagnosis, but cannot be fully trusted since their performance can be severely degraded by dataset shifts to which human perception remains …
Efficient Attention Network: Accelerate Attention by Searching Where to Plug
ZhongzhanHuang, SenweiLiang, MingfuLiang....
Published date-11/28/2020
Recently, many plug-and-play self-attention modules are proposed to enhance the model generalization by exploiting the internal information of deep convolutional neural networks (CNNs). Previous works lay an emphasis on the …