المؤلفون: Kim, Jenia, Onderzoeker, Maathuis, Henry, Onderzoeker, Sent, Danielle, Onderzoeker

المساهمون: Artificial Intelligence, Hogeschool Utrecht@@@Kenniscentrum Digital Business & Media

المصدر: Fronties in Artificial Intelligence. 7(1456486)

مصطلحات موضوعية: explainable AI, XAI, human-centered evaluation, meaningful explanations, XAI evaluation, systematic review, human-AI performance

URL الوصول: https://surfsharekit.nl/public/7df75acc-fd82-4d99-bccf-4b4fc5b3300a
https://surfsharekit.nl/objectstore/9d7158d3-209b-4a0b-aa68-6dd6b06400df

الاتاحة: http://www.hbo-kennisbank.nl/en/page/hborecord.view/?uploadId=sharekit_hu:oai:surfsharekit.nl:7df75acc-fd82-4d99-bccf-4b4fc5b3300a

المؤلفون: Jenia Kim, Henry Maathuis, Danielle Sent

المصدر: Frontiers in Artificial Intelligence, Vol 7 (2024)

مصطلحات موضوعية: explainable AI, XAI, human-centered evaluation, meaningful explanations, XAI evaluation, systematic review, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/frai.2024.1456486/full; https://doaj.org/toc/2624-8212

URL الوصول: https://doaj.org/article/5f300b9368c4406ca26b865c34adebb5

المؤلفون: Sidra Naveed, Gunnar Stevens, Dean Robin-Kern

المصدر: Applied Sciences, Vol 14, Iss 23, p 11288 (2024)

مصطلحات موضوعية: AI transparency, explainable artificial intelligence (XAI), XAI evaluation procedure, user-centered evaluation, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2076-3417/14/23/11288; https://doaj.org/toc/2076-3417

URL الوصول: https://doaj.org/article/5862575600804abf868c3f17287c4ef3

المؤلفون: Osvaldo Arreche, Tanish R. Guntur, Jack W. Roberts, Mustafa Abdallah

المصدر: IEEE Access, Vol 12, Pp 23954-23988 (2024)

مصطلحات موضوعية: XAI evaluation, intrusion detection systems, SHAP, explainable AI, network security, LIME, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10433134/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/b02f180d2e7c4f84a8821d73c3f930cc

المؤلفون: Fresz, Benjamin, Lörcher, Lena, Huber, Marco

مصطلحات موضوعية: eXplainable AI, heatmaps, objective XAI evaluation, psychometric testing, quantitative evaluation, reliability, saliency maps, saliency metrics, validity, XAI

Relation: Conference on Fairness, Accountability, and Transparency 2024; #PLACEHOLDER_PARENT_METADATA_VALUE#; FAcct 2024, ACM Conference on Fairness, Accountability, and Transparency. Proceedings; https://publica.fraunhofer.de/handle/publica/471364

الاتاحة: https://publica.fraunhofer.de/handle/publica/471364
https://doi.org/10.1145/3630106.3658537

المؤلفون: Ndao, Lamine, Mouhamadou, Youness, Genane, Niang, Ndèye, Saporta, Gilbert

المساهمون: Laboratoire d'Innovation Numérique pour les Entreprises et les Apprentissages au service de la Compétitivité des Territoires (LINEACT), CESI : groupe d’Enseignement Supérieur et de Formation Professionnelle (CESI), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM), CEDRIC. Méthodes statistiques de data-mining et apprentissage (CEDRIC - MSDMA), Centre d'études et de recherche en informatique et communications (CEDRIC), Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers CNAM (CNAM)-Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers CNAM (CNAM), SFDS

المصدر: JdS 2024: 55ièmes Journées de Statistique ; https://hal.science/hal-04612045 ; JdS 2024: 55ièmes Journées de Statistique, SFDS, May 2024, Bordeaux, France

مصطلحات موضوعية: Maintenance prédictive, XAI, LSTM, local post-hoc XAI methods, XAI evaluation metrics, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

جغرافية الموضوع: Bordeaux, France

الاتاحة: https://hal.science/hal-04612045
https://hal.science/hal-04612045v1/document
https://hal.science/hal-04612045v1/file/ndao_sfds_1562.pdf

المؤلفون: Cesarini, Mirko, Malandri, Lorenzo, Pallucchini, Filippo, Seveso, Andrea, Xing, Frank

المساهمون: Cesarini, M, Malandri, L, Pallucchini, F, Seveso, A, Xing, F

مصطلحات موضوعية: Explainable AI, Human-computer interaction, Interpretability, Text classification, XAI evaluation

وصف الملف: STAMPA

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:001285684700001; journal:COGNITIVE COMPUTATION; https://hdl.handle.net/10281/509524; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85200746411

الاتاحة: https://hdl.handle.net/10281/509524
https://doi.org/10.1007/s12559-024-10325-w

المؤلفون: Dawoud, Karam, Samek, Wojciech, Eisert, Peter, Lapuschkin, Sebastian, Bosse, Sebastian

المصدر: 912-921, (2023-10-16) ; ICDMW, 2023 IEEE International Conference on Data Mining Workshops (ICDMW), Shanghai, China, 4 December 2023

مصطلحات موضوعية: Black-box AI, explainable artificial intelligence (XAI), Interpretability, XAI evaluation, user study

Relation: https://zenodo.org/communities/tema; https://doi.org/10.1109/ICDMW60847.2023.00122; oai:zenodo.org:11545740

الاتاحة: https://doi.org/10.1109/ICDMW60847.2023.00122

المؤلفون: Alexander Binder, Leander Weber, Sebastian Lapuschkin, Gregoire Montavon, Klaus-Robert Müller, Wojciech Samek

مصطلحات موضوعية: Deep learning, Explainable Artificial Intelligence (XAI), xai evaluation

Relation: https://figshare.com/articles/conference_contribution/Shortcomings_of_Top-Down_Randomization-Based_Sanity_Checks_for_Evaluations_of_Deep_Neural_Network_Explanations/24191112

الاتاحة: https://doi.org/10.1109/cvpr52729.2023.01549
https://figshare.com/articles/conference_contribution/Shortcomings_of_Top-Down_Randomization-Based_Sanity_Checks_for_Evaluations_of_Deep_Neural_Network_Explanations/24191112

المؤلفون: SeyedehRoksana Mirzaei, Hua Mao, Raid Rafi Omar Al-Nima, Wai Lok Woo

المصدر: Information, Vol 15, Iss 1, p 4 (2023)

مصطلحات موضوعية: XAI, XAI evaluation, explainability, black boxes, explanation criteria, interpretability, Information technology, T58.5-58.64

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2078-2489/15/1/4; https://doaj.org/toc/2078-2489

URL الوصول: https://doaj.org/article/f3c00e4cbc844b0d92686925f8c50964

المؤلفون: Elkhawaga, Ghada, Elzeki, Omar, Abuelkheir, Mervat, Reichert, Manfred, Ullo, Silvia Liberata

مصطلحات موضوعية: explainable machine learning, features selection, functionally-grounded evaluation, quantifiable XAI evaluation, Machine learning, Maschinelles Lernen, Explainable Artificial Intelligence

وصف الملف: application/pdf

Relation: http://dx.doi.org/10.18725/OPARU-50148; http://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-50224-1

الاتاحة: https://doi.org/10.18725/OPARU-50148
http://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-50224-1

المؤلفون: David Solís-Martín, Juan Galán-Páez, Joaquín Borrego-Díaz

المصدر: Information; Volume 14; Issue 5; Pages: 256

مصطلحات موضوعية: XAI, interpretability, predictive maintenance, prognostics and health management, remaining useful life, deep learning, convolutional neural network, comparative analysis, XAI evaluation and accountability

وصف الملف: application/pdf

Relation: Artificial Intelligence; https://dx.doi.org/10.3390/info14050256

الاتاحة: https://doi.org/10.3390/info14050256

المؤلفون: Hossein Shreim, Abdul Karim Gizzini, Ali J. Ghandour

المصدر: Environmental Sciences Proceedings, Vol 29, Iss 1, p 49 (2023)

مصطلحات موضوعية: explainable artificial intelligence (XAI), remote sensing, XAI evaluation, semantic segmentation, Environmental sciences, GE1-350

Relation: https://www.mdpi.com/2673-4931/29/1/49; https://doaj.org/toc/2673-4931; https://doaj.org/article/7e1c342de20241e79dc960311062cc8e

الاتاحة: https://doi.org/10.3390/ECRS2023-16609
https://doaj.org/article/7e1c342de20241e79dc960311062cc8e

المؤلفون: Ghada Elkhawaga, Omar Elzeki, Mervat Abuelkheir, Manfred Reichert

المصدر: Electronics, Vol 12, Iss 7, p 1670 (2023)

مصطلحات موضوعية: machine learning, explainable machine learning, features selection, functionally-grounded evaluation, quantifiable XAI evaluation, Electronics, TK7800-8360

Relation: https://www.mdpi.com/2079-9292/12/7/1670; https://doaj.org/toc/2079-9292; https://doaj.org/article/7227516fcf014abaa219d0709d4ade74

الاتاحة: https://doi.org/10.3390/electronics12071670
https://doaj.org/article/7227516fcf014abaa219d0709d4ade74

المؤلفون: Karagoz, Gizem, van Kollenburg, Geert, Ozcelebi, Tanir, Meratnia, Nirvana

المساهمون: Chen, Hao, Zhou, Yuyin, Xu, Daguang, Vardhanabhuti, Varut Vince

المصدر: Karagoz , G , van Kollenburg , G , Ozcelebi , T & Meratnia , N 2024 , Evaluating How Explainable AI Is Perceived in the Medical Domain : A Human-Centered Quantitative Study of XAI in Chest X-Ray Diagnostics . in H Chen , Y Zhou , D Xu & V V Vardhanabhuti (eds) , Trustworthy Artificial Intelligence for Healthcare : Second International Workshop, TAI4H 2024, Jeju, South Korea, August 4, 2024, Proceedings . Lecture Notes in Computer Science (LNCS) , vol. 14812 , Springer , Cham , pp. 92-108 , 2nd International Workshop on Trustworthy Artificial Intelligence for ....

مصطلحات موضوعية: Explainable AI, Human-Centered Evaluation, Medical Imaging, XAI Evaluation, XAI in Healthcare, /dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being, name=SDG 3 - Good Health and Well-being

الاتاحة: https://research.tue.nl/en/publications/c16823e8-c540-440b-a6a3-fe1e64ae479b
https://doi.org/10.1007/978-3-031-67751-9_8
http://www.scopus.com/inward/record.url?scp=85201190554&partnerID=8YFLogxK

المؤلفون: Muddamsetty, Satya Mahesh, Jahromi, Mohammad Naser Sabet, Moeslund, Thomas B.

المساهمون: Del Bimbo, Alberto, Cucchiara, Rita, Sclaroff, Stan, Farinella, Giovanni Maria, Mei, Tao, Bertini, Marco, Escalante, Hugo Jair, Vezzani, Roberto

المصدر: Muddamsetty , S M , Jahromi , M N S & Moeslund , T B 2021 , Expert level evaluations for explainable AI (XAI) methods in the medical domain . in A Del Bimbo , R Cucchiara , S Sclaroff , G M Farinella , T Mei , M Bertini , H J Escalante & R Vezzani (eds) , Pattern Recognition. ICPR International Workshops and Challenges . vol. 12663 , Springer Publishing Company , Lecture Notes in Computer Science , pp. 35-46 , Pattern Recognition. ICPR International Workshops and Challenges , 10/01/2021 . https://doi.org/10.1007/978-3-030-68796-0_3

مصطلحات موضوعية: Explainable AI (XAI), Deep learning, Expert-level explanation, XAI evaluation, Retinal Images, Eye-tracker

وصف الملف: application/pdf

الاتاحة: https://vbn.aau.dk/da/publications/80e1b29a-b04c-4548-a8fc-06c35ae94308
https://doi.org/10.1007/978-3-030-68796-0_3
https://vbn.aau.dk/ws/files/390031899/ICPR_EDL_AI_Workshop_2020_Paper_ID_39_camera_ready_updated.pdf

المؤلفون: Hussain, Sardar Mehboob

مصطلحات موضوعية: robot-assisted surgery, explainable deep learning, image-guided surgery, deep learning, artificial intelligence, evaluation of XAI, machine learning, Explainable artificial intelligence, robotic surgery, computer-aided diagnosis, image-guided surgery, XAI, evaluation of XAI, breast cancer classification, XAI, Settore ING-INF/06 - Bioingegneria Elettronica e Informatica, computer-aided diagnosis

URL الوصول: https://explore.openaire.eu/search/publication?articleId=od______3979::4d35979784cb00ce51c1750ab090afab
https://hdl.handle.net/11589/249000

المؤلفون: Philine Lou Bommer, Marlene Kretschmer, Anna Hedström, Dilyara Bareeva, Marina M.-C. Höhne

مصطلحات موضوعية: Explainability, Climate Science, XAI Evaluation, Deep Learning, Deep Neural Networks

Relation: https://doi.org/10.48550/arXiv.2303.00652; https://doi.org/10.1175/BAMS-D-13-00255.1; https://doi.org/10.1029/2021ms002464; https://doi.org/10.1002/qj.3598; https://doi.org/10.5281/zenodo.7715397; https://doi.org/10.5281/zenodo.7715398; oai:zenodo.org:7715398

الاتاحة: https://doi.org/10.5281/zenodo.7715398

المؤلفون: Jakubiak, Natalia

المساهمون: Universitat Politècnica de Catalunya. Departament de Ciències de la Computació, Sànchez-Marrè, Miquel, Barrué Subirana, Cristian

مصطلحات موضوعية: Informàtica::Intel·ligència artificial::Aprenentatge automàtic [Àrees temàtiques de la UPC], machine learning, Sèries temporals -- Anàlisi, explainable artificial intelligence, Time-series analysis, Aprenentatge automàtic, local explainability, xai evaluation, lime, shap, time series, attention mechanism

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=od______3484::0860aa1aed3452cb18eb06cae8b727eb
https://hdl.handle.net/2117/376475

المؤلفون: Yang, Yi, Zheng, Yueyuan, Deng, Didan, Zhang, Jindi, Huang, Yongxiang, Yang, Yumeng, Hsiao, Janet H., Cao, Caleb Chen

المصدر: Proceedings of the AAAI Conference on Human Computation and Crowdsourcing; Vol. 10 (2022): Proceedings of the Tenth AAAI Conference on Human Computation and Crowdsourcing; 231-242 ; 2769-1349 ; 2769-1330

مصطلحات موضوعية: Explainable AI, XAI Evaluation, Benchmarking, Human Saliency, Crowdsourcing

وصف الملف: application/pdf

Relation: https://ojs.aaai.org/index.php/HCOMP/article/view/22002/21778; https://ojs.aaai.org/index.php/HCOMP/article/view/22002

الاتاحة: https://ojs.aaai.org/index.php/HCOMP/article/view/22002
https://doi.org/10.1609/hcomp.v10i1.22002