Results 251 to 260 of about 56,159 (288)

Explainable artificial intelligence for gait analysis: advances, pitfalls, and challenges - a systematic review. [PDF]

Front Bioeng Biotechnol
Xiang L, Gao Z, Yu P, Fernandez J, Gu Y, Wang R, Gutierrez-Farewik EM.   +6 more
europepmc   +1 more source

Integrated ML and XAI Pipeline for Transistor Quantification in CMOS JK Flip-Flop Designs

R. Roopalakshmi
openalex   +1 more source

Alzheimer's disease prediction via an explainable CNN using genetic algorithm and SHAP values. [PDF]

PLoS One
Zahedipour M, Saniee Abadeh M, Shojaei S.   +2 more
europepmc   +1 more source

A Unified XAI–RAI–HITL Framework for Fairness Enhancement and Explainability in Credit Scoring Systems

Ho-yeon Park, Ga-Rim Park, Kyoung-jae Kim   +2 more
openalex   +1 more source

Testing the applicability of a governance checklist for high-risk AI-based learning outcome assessment in Italian universities under the EU AI act annex III. [PDF]

Front Artif Intell
Manganello F, Nico A, Ragusa M, Boccuzzi G.   +3 more
europepmc   +1 more source

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XAI in Biomedical Applications

2023
When the correct diagnosis or selection of therapy is made by algorithms by a machine, decisions for doctors, patients, and experts can become non-transparent, leading to the breakdown of relationships. Asking the machine to explain its algorithms is essentially a detailed understanding of the mathematical and statistical details.
Kirboğa, K.K., Küçüksille, E.U.
openaire   +2 more sources

eXplainable AI (XAI)

SIGGRAPH Asia 2020 Courses, 2020
• Do Machine Learning algorithms have a Soul? • Could they understand every day's reality as us Humans do? • What the consequence of their Creativity? • Can they help us to understand world better?
Rowan Hughes, Cameron Edmond, Lindsay Wells, Mashhuda Glencross, Liming Zhu, Tomasz Bednarz   +5 more
openaire   +1 more source

MRI XAI Benchmark

2023
Data repository of corresponding paper "Benchmarking the Influence of Pre-training on Explanation Performance in MR Image Classification"
openaire   +1 more source