A review of explainable and interpretable AI with applications in COVID‐19 imaging
The development of medical imaging artificial intelligence (AI) systems for evaluating COVID‐
19 patients has demonstrated potential for improving clinical decision making and assessing …
19 patients has demonstrated potential for improving clinical decision making and assessing …
On the commoditization of artificial intelligence
As artificial intelligence's potential and pervasiveness continue to increase, its strategic
importance, effects, and management must be closely examined. Societies, governments …
importance, effects, and management must be closely examined. Societies, governments …
Estimating cognitive workload in an interactive virtual reality environment using EEG
With the recent surge of affordable, high-performance virtual reality (VR) headsets, there is
unlimited potential for applications ranging from education, to training, to entertainment, to …
unlimited potential for applications ranging from education, to training, to entertainment, to …
Data‐Driven Battery Characterization and Prognosis: Recent Progress, Challenges, and Prospects
Battery characterization and prognosis are essential for analyzing underlying
electrochemical mechanisms and ensuring safe operation, especially with the assistance of …
electrochemical mechanisms and ensuring safe operation, especially with the assistance of …
Design of resilient and viable sourcing strategies in intertwined circular supply networks
This study examines the effects of intertwining and circularity on the design of resilient and
viable sourcing and recovery strategies in supply chains. We first construct a case study …
viable sourcing and recovery strategies in supply chains. We first construct a case study …
Explainable artificial intelligence model for identifying COVID-19 gene biomarkers
Aim COVID-19 has revealed the need for fast and reliable methods to assist clinicians in
diagnosing the disease. This article presents a model that applies explainable artificial …
diagnosing the disease. This article presents a model that applies explainable artificial …
Prediction of the COVID disease using lung CT images by deep learning algorithm: DETS-optimized Resnet 101 classifier
JHJ Haennah, CS Christopher, GRG King - Frontiers in Medicine, 2023 - frontiersin.org
As a result of the COVID-19 (coronavirus) disease due to SARS-CoV2 becoming a
pandemic, it has spread over the globe. It takes time to evaluate the results of the laboratory …
pandemic, it has spread over the globe. It takes time to evaluate the results of the laboratory …
Machine learning topological phases in real space
NL Holanda, MAR Griffith - Physical Review B, 2020 - APS
We develop a supervised machine learning algorithm that is able to learn topological
phases of finite condensed-matter systems from bulk data in real lattice space. The algorithm …
phases of finite condensed-matter systems from bulk data in real lattice space. The algorithm …
Home quarantine patient monitoring in the era of COVID-19 disease
Patients' remote monitoring becomes even more crucial due to the spreading of the COVID-
19 disease. Hospitals cannot accommodate all the patients who need to be taken care …
19 disease. Hospitals cannot accommodate all the patients who need to be taken care …
Exploring the role of simulator fidelity in the safety validation of learning‐enabled autonomous systems
A Baheri - AI Magazine, 2023 - Wiley Online Library
This article presents key insights from the New Faculty Highlights talk given at AAAI 2023,
focusing on the crucial role of fidelity simulators in the safety evaluation of learning‐enabled …
focusing on the crucial role of fidelity simulators in the safety evaluation of learning‐enabled …