November 18, 2024 article Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning Neural Computing and Applications DOI: 10.1007/s00521-024-10437-2 OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 274 References 3 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Toward explainable AI (XAI) for mental health detection based on language behavior 2023 Frontiers in Psychiatry article Psychology Mental Health via Writing Open access 103 citations CerebNet: A fast and reliable deep-learning pipeline for detailed cerebellum sub-segmentation 2022 NeuroImage article Computer Science Medical Image Segmentation Techniques Open access 87 citations Metrologically interpretable feature extraction for industrial machine vision using generative deep learning 2022 CIRP Annals article Engineering Industrial Vision Systems and Defect Detection 20 citations 3 results