Results 191 to 200 of about 2,085,409 (278)

Explainability and Transparency of Classifiers for Air-Handling Unit Faults Using Explainable Artificial Intelligence (XAI). [PDF]

Sensors (Basel), 2022
Meas M, Machlev R, Kose A, Tepljakov A, Loo L, Levron Y, Petlenkov E, Belikov J.   +7 more
europepmc   +1 more source

SPINE: VAE‐driven Counterfactuals for Decision Boundary Maps

Computer Graphics Forum, EarlyView.
Abstract As Deep Learning models become increasingly complex, Explainable AI becomes essential for deploying machine learning classifiers. Decision Boundary Mapping (DBM) is a technique for visualizing a classifier's global decision boundary. Despite their relative success, current DBM methods rely on global inverse multidimensional projections that ...
I.M. Bloemen, V. Prasad, F. V. Paulovich
wiley   +1 more source

Environmental education as a means of combating growing environmental pollution: an optimized- explainable artificial intelligence (XAI) approach. [PDF]

Sci Rep
Hamad OAM, Baysen E, Usman AG.
europepmc   +1 more source

Unboxing Deep Learning Model of Food Delivery Service Reviews Using Explainable Artificial Intelligence (XAI) Technique. [PDF]

Foods, 2022
Adak A, Pradhan B, Shukla N, Alamri A.
europepmc   +1 more source

Evaluating the Accuracy of Large Language Models in Dentistry: A Multi‐Model Study Using Clinical Questions From Turkey's Dental Specialty Exams

European Journal of Dental Education, EarlyView.
ABSTRACT Aim Artificial intelligence (AI) has become an integral part of dental education and clinical practice. While several studies have assessed the performance of ChatGPT in medical exams, comparative analyses of various large language models (LLMs) in dentistry remain scarce.
Nihan Kaya Acar, Fatih Sengul, Peris Celikel, Aziz Sahin Erdogan   +3 more
wiley   +1 more source

Taming the chaos?! Using eXplainable Artificial Intelligence (XAI) to tackle the complexity in mental health research. [PDF]

Eur Child Adolesc Psychiatry, 2021
Roessner V, Rothe J, Kohls G, Schomerus G, Ehrlich S, Beste C.   +5 more
europepmc   +1 more source

AI In Dental Education: Upskilled, Differently Skilled, or Never Skilled?

European Journal of Dental Education, EarlyView.
ABSTRACT Background Artificial intelligence (AI) is being integrated rapidly into dental education, yet frameworks to guide its use while safeguarding foundational competence remain underdeveloped. Recent work in medical education has highlighted the risk of AI‐induced ‘never‐skilling’, whereby learners fail to develop core reasoning because AI ...
Barry F. A. Quinn
wiley   +1 more source

Explainable artificial intelligence (XAI): closing the gap between image analysis and navigation in complex invasive diagnostic procedures. [PDF]

World J Urol, 2022
O'Sullivan S, Janssen M, Holzinger A, Nevejans N, Eminaga O, Meyer CP, Miernik A.   +6 more
europepmc   +1 more source

Toward a methodological framework for big data and machine learning analysis in management research

European Management Review, EarlyView.
Abstract As the global workforce becomes increasingly complex and interconnected, traditional management research methods often struggle to capture contextual richness, interdependence, and cultural variation. Big data analytics (BDA) and machine learning (ML) offer unprecedented opportunities to analyze complex patterns, yet their black box nature ...
Hila Chalutz‐Ben Gal, Hilla Peretz, Sven Horak   +2 more
wiley   +1 more source

Different BI-RADS breast cancer diagnosis using MobileNetV1 and vision transformer based on explainable artificial intelligence (XAI). [PDF]

Sci Rep
Abdelsabour I, Elgarayhi A, Sallah M, Elmogy M.   +3 more
europepmc   +1 more source