Explainable reinforcement learning: A survey and comparative review
Explainable reinforcement learning (XRL) is an emerging subfield of explainable machine
learning that has attracted considerable attention in recent years. The goal of XRL is to …
learning that has attracted considerable attention in recent years. The goal of XRL is to …
Machine learning-based coronary artery disease diagnosis: A comprehensive review
Coronary artery disease (CAD) is the most common cardiovascular disease (CVD) and often
leads to a heart attack. It annually causes millions of deaths and billions of dollars in …
leads to a heart attack. It annually causes millions of deaths and billions of dollars in …
Land cover and land use classification performance of machine learning algorithms in a boreal landscape using Sentinel-2 data
AM Abdi - GIScience & Remote Sensing, 2020 - Taylor & Francis
In recent years, the data science and remote sensing communities have started to align due
to user-friendly programming tools, access to high-end consumer computing power, and the …
to user-friendly programming tools, access to high-end consumer computing power, and the …
Machine learning for phase selection in multi-principal element alloys
Multi-principal element alloys (MPEAs) especially high entropy alloys have attracted
significant attention and resulted in a novel concept of designing metal alloys via exploring …
significant attention and resulted in a novel concept of designing metal alloys via exploring …
Data analytics for environmental science and engineering research
The advent of new data acquisition and handling techniques has opened the door to
alternative and more comprehensive approaches to environmental monitoring that will …
alternative and more comprehensive approaches to environmental monitoring that will …
Ghost in the machine: On organizational theory in the age of machine learning
K Leavitt, K Schabram, P Hariharan… - … of Management Review, 2021 - journals.aom.org
With rapid advancements in machine learning, we consider the epistemological
opportunities presented by this novel tool for promoting organizational theory. Our paper …
opportunities presented by this novel tool for promoting organizational theory. Our paper …
Evaluation of light gradient boosted machine learning technique in large scale land use and land cover classification
DA McCarty, HW Kim, HK Lee - Environments, 2020 - mdpi.com
The ability to rapidly produce accurate land use and land cover maps regularly and
consistently has been a growing initiative as they have increasingly become an important …
consistently has been a growing initiative as they have increasingly become an important …
Artificial intelligence for internet of things and enhanced medical systems
Abstract Internet of things (IoT), Big Data, and artificial intelligence (AI) are related research
fields that have a relevant impact factor on the design and development of enhanced …
fields that have a relevant impact factor on the design and development of enhanced …
Applications of machine learning in networking: a survey of current issues and future challenges
Communication networks are expanding rapidly and becoming increasingly complex. As a
consequence, the conventional rule-based algorithms or protocols may no longer perform at …
consequence, the conventional rule-based algorithms or protocols may no longer perform at …
Dfu-siam a novel diabetic foot ulcer classification with deep learning
Diabetes affects roughly 537 million people in the world, and it is predicted to reach 783
million by 2045. Diabetic Foot Ulcer (DFU) is a major issue with diabetes that may lead to …
million by 2045. Diabetic Foot Ulcer (DFU) is a major issue with diabetes that may lead to …