A review on explainable artificial intelligence for healthcare: why, how, and when?

S Bharati, MRH Mondal… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Artificial intelligence (AI) models are increasingly finding applications in the field of
medicine. Concerns have been raised about the explainability of the decisions that are …

An optimized model for network intrusion detection systems in industry 4.0 using XAI based Bi-LSTM framework

S Sivamohan, SS Sridhar - Neural Computing and Applications, 2023 - Springer
Industry 4.0 enable novel business cases, such as client-specific production, real-time
monitoring of process condition and progress, independent decision making and remote …

XAI-3DP: Diagnosis and understanding faults of 3-D printer with explainable ensemble AI

D Chowdhury, A Sinha, D Das - IEEE Sensors Letters, 2022 - ieeexplore.ieee.org
Additive manufacturing is one of the most widely used techniques in the domain of
manufacturing. Three-dimensional (3-D) printers are one of those systems that made …

[HTML][HTML] CloudAISim: A toolkit for modelling and simulation of modern applications in AI-driven cloud computing environments

A Bhowmik, M Sannigrahi, D Chowdhury, A Dey… - BenchCouncil …, 2023 - Elsevier
There is a very significant knowledge gap between Artificial Intelligence (AI) and a multitude
of industries that exist in today's modern world. This is primarily attributable to the limited …

Dbnex: Deep belief network and explainable ai based financial fraud detection

A Bhowmik, M Sannigrahi, D Chowdhury… - … Conference on Big …, 2022 - ieeexplore.ieee.org
The majority of financial transactions are now conducted virtually around the world. The
widespread use of credit cards and online transactions encourages fraudulent activity. Thus …

Data Driven based Malicious URL Detection using Explainable AI

S Poddar, D Chowdhury, AD Dwivedi… - … Conference on Trust …, 2022 - ieeexplore.ieee.org
With the ever-increasing reach of the internet, and its increasing access through various
types of devices, the spread of malware, phishing attempts, etc. have steadily been …

Interpretable models for ml-based classification of obesity

T Khater, H Tawfik, S Sowdagar, B Singh - Proceedings of the 2023 7th …, 2023 - dl.acm.org
Artificial Intelligence is revolutionizing the healthcare business, thanks to the rising
availability of structured and unstructured data and the rapid advancement of analytical …

Explainable AI for Breast Cancer Detection: A LIME-Driven Approach

T Khater, A Hussain, S Mahmoud… - 2023 16th International …, 2023 - ieeexplore.ieee.org
Artificial Intelligence is transforming the healthcare industry due to the increasing
accessibility of organized and unorganized information and the rapid development of …

[HTML][HTML] Using Explainable AI to Cross-Validate Socio-economic Disparities Among Covid-19 Patient Mortality

L Shi, R Rahman, E Melamed, J Gwizdka… - AMIA Summits on …, 2023 - ncbi.nlm.nih.gov
This paper applies eXplainable Artificial Intelligence (XAI) methods to investigate the
socioeconomic disparities in COVID-19 patient mortality. An Extreme Gradient Boosting …