[HTML][HTML] A systematic review of Explainable Artificial Intelligence models and applications: Recent developments and future trends

A Saranya, R Subhashini - Decision analytics journal, 2023 - Elsevier
Artificial Intelligence (AI) uses systems and machines to simulate human intelligence and
solve common real-world problems. Machine learning and deep learning are Artificial …

Explainable AI for healthcare 5.0: opportunities and challenges

D Saraswat, P Bhattacharya, A Verma, VK Prasad… - IEEe …, 2022 - ieeexplore.ieee.org
In the healthcare domain, a transformative shift is envisioned towards Healthcare 5.0. It
expands the operational boundaries of Healthcare 4.0 and leverages patient-centric digital …

Review of artificial intelligence applications in engineering design perspective

N Yüksel, HR Börklü, HK Sezer, OE Canyurt - Engineering Applications of …, 2023 - Elsevier
Having passed the primitive phases and starting to revolutionize many different fields in
some way, artificial intelligence is on its way to becoming a disruptive technology. It is also …

Applications of explainable artificial intelligence in finance—a systematic review of finance, information systems, and computer science literature

P Weber, KV Carl, O Hinz - Management Review Quarterly, 2024 - Springer
Digitalization and technologization affect numerous domains, promising advantages but
also entailing risks. Hence, when decision-makers in highly-regulated domains like Finance …

Explainable artificial intelligence in cybersecurity: A survey

N Capuano, G Fenza, V Loia, C Stanzione - Ieee Access, 2022 - ieeexplore.ieee.org
Nowadays, Artificial Intelligence (AI) is widely applied in every area of human being's daily
life. Despite the AI benefits, its application suffers from the opacity of complex internal …

[HTML][HTML] Explainable AI for operational research: A defining framework, methods, applications, and a research agenda

KW De Bock, K Coussement, A De Caigny… - European Journal of …, 2024 - Elsevier
The ability to understand and explain the outcomes of data analysis methods, with regard to
aiding decision-making, has become a critical requirement for many applications. For …

Electricity price forecasting on the day-ahead market using machine learning

L Tschora, E Pierre, M Plantevit, C Robardet - Applied Energy, 2022 - Elsevier
The price of electricity on the European market is very volatile. This is due both to its mode of
production by different sources, each with its own constraints (volume of production …

[HTML][HTML] XAIR: a systematic metareview of explainable AI (XAI) aligned to the software development process

T Clement, N Kemmerzell, M Abdelaal… - Machine Learning and …, 2023 - mdpi.com
Background: Open Access Systematic Review XAIR: A Systematic Metareview of
Explainable AI (XAI) Aligned to the Software Development Process by Tobias Clement 1,*,† …

Towards Risk‐Free Trustworthy Artificial Intelligence: Significance and Requirements

L Alzubaidi, A Al-Sabaawi, J Bai… - … Journal of Intelligent …, 2023 - Wiley Online Library
Given the tremendous potential and influence of artificial intelligence (AI) and algorithmic
decision‐making (DM), these systems have found wide‐ranging applications across diverse …

A review of current methods and challenges of advanced deep learning-based non-intrusive load monitoring (NILM) in residential context

H Rafiq, P Manandhar, E Rodriguez-Ubinas… - Energy and …, 2024 - Elsevier
The rising demand for energy conservation in residential buildings has increased interest in
load monitoring techniques by exploiting energy consumption data. In recent years …