Results 31 to 40 of about 4,042,759 (279)

Increasing trust and fairness in machine learning applications within the mortgage industry

Machine Learning with Applications, 2022
The integration of machine learning in applications provides opportunities for increased efficiency in many organisations. However, the deployment of such systems is often hampered by the lack of insight into how their decisions are reached, resulting in
W. van Zetten, G.J. Ramackers, H.H. Hoos
doaj   +1 more source

Review of explainable artificial intelligence and its application prospect in earthquake science

地震科学进展
In the past decade, Artificial Intelligence (AI), as an important branch of computer science, has made breakthroughs in the research fields of computer vision, natural language processing, machine translation and so on.
Lihong Huang, Jian Li, Zhehan Liu, Xiaoming Wang, Jie Shang, Lei Gai, Hongmao Qiu, Ming Li, Ni Gong, Shoucheng Han, Yanyan Xu, Zeyu Liu   +11 more
doaj   +1 more source

Advancing 6G: Survey for Explainable AI on Communications and Network Slicing

IEEE Open Journal of the Communications Society
The unprecedented advancement of Artificial Intelligence (AI) has positioned Explainable AI (XAI) as a critical enabler in addressing the complexities of next-generation wireless communications.
Haochen Sun, Yifan Liu, Ahmed Al-Tahmeesschi, Avishek Nag, Mohadeseh Soleimanpour, Berk Canberk, Hüseyin Arslan, Hamed Ahmadi   +7 more
semanticscholar   +1 more source

Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review [PDF]

IEEE transactions on intelligent transportation systems (Print)
Artificial Intelligence (AI) shows promising applications for the perception and planning tasks in autonomous driving (AD) due to its superior performance compared to conventional methods.
Anton Kuznietsov, Balint Gyevnar, Cheng Wang, Steven Peters, Stefano V. Albrecht   +4 more
semanticscholar   +1 more source

Explainable Artificial Intelligence (XAI) and Supervised Machine Learning-based Algorithms for Prediction of Surface Roughness of Additively Manufactured Polylactic Acid (PLA) Specimens

Applied Mechanics, 2023
Structural integrity is a crucial aspect of engineering components, particularly in the field of additive manufacturing (AM). Surface roughness is a vital parameter that significantly influences the structural integrity of additively manufactured parts ...
Akshansh Mishra, Vijaykumar S. Jatti, Eyob Messele Sefene, Shivangi Paliwal   +3 more
doaj   +1 more source

Can Explainable AI Explain Unfairness? A Framework for Evaluating Explainable AI

, 2021
Many ML models are opaque to humans, producing decisions too complex for humans to easily understand. In response, explainable artificial intelligence (XAI) tools that analyze the inner workings of a model have been created. Despite these tools' strength in translating model behavior, critiques have raised concerns about the impact of XAI tools as a ...
Alikhademi, Kiana, Richardson, Brianna, Drobina, Emma, Gilbert, Juan E.   +3 more
openaire   +2 more sources

Medically-oriented design for explainable AI for stress prediction from physiological measurements

BMC Medical Informatics and Decision Making, 2022
Background In the last decade, a lot of attention has been given to develop artificial intelligence (AI) solutions for mental health using machine learning.
Dalia Jaber, Hazem Hajj, Fadi Maalouf, Wassim El-Hajj   +3 more
doaj   +1 more source

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source

Explaining Machines: Social Management of Incomprehensible Algorithms. Introduction

Sociologica, 2023
This short introduction presents the symposium ‘Explaining Machines’. It locates the debate about Explainable AI in the history of the reflection about AI and outlines the issues discussed in the contributions.
Elena Esposito
doaj   +1 more source

DELP Treatment on Vision and Retinal Microcirculation in Patients With Acute Ischemic Stroke: Report of Five Cases and Literature Review

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background The delipid extracorporeal lipoprotein filter from plasma (DELP) treatment can effectively reduce blood lipid, increase blood flow, and improve neurological deficits in patients with acute ischemic stroke (AIS). However, its effect on vision and retinal microcirculation in stroke patients has never been reported.
Ning Li, Ronghua Hong, Hua You, Feiping Xu, Qingjun Zhang, Yiwen Lin, Yuting Su, Danmei Lan, Lingjing Jin, Junhui She   +9 more
wiley   +1 more source