المؤلفون: Varun Dogra, Sahil Verma, Kavita, Marcin Wozniak, Jana Shafi, Muhammad Fazal Ijaz

المصدر: IEEE Access, Vol 12, Pp 26183-26195 (2024)

مصطلحات موضوعية: Dataset biases, deep learning, natural language processing, shortcut learning, transfer learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10416838/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/f72ee79bf37f4394986a53e61f5060df

المؤلفون: Pedro R. A. S. Bassi, Sergio Decherchi, Andrea Cavalli

المصدر: IEEE Access, Vol 12, Pp 155151-155167 (2024)

مصطلحات موضوعية: Shortcut learning, layer-wise relevance propagation, COVID-19 detection, explainable artificial intelligence, background bias, ISNet, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10681068/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/6b2a9d1fe0b54cdd8da90a030cecffdc

المؤلفون: Louisa Fay, Erick Cobos, Bin Yang, Sergios Gatidis, Thomas Kustner

المصدر: IEEE Access, Vol 11, Pp 64070-64086 (2023)

مصطلحات موضوعية: Causality, deep learning, medical image analysis, mutual information, shortcut learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10162210/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/6f5292978ff7473fabcdc7f135653a04

المؤلفون: Shim, H.-j. (Hye-jin), Gonzalez Hautamäki, R. (Rosa), Sahidullah, M. (Md), Kinnunen, T. (Tomi)

مصطلحات موضوعية: ASVspoof, Clever Hans, antispoofing, dataset bias, shortcut learning

وصف الملف: application/pdf

الاتاحة: http://urn.fi/urn:nbn:fi-fe20230927137604

المؤلفون: Devillers, Alexandre, Alcaraz, Benoît, Lefort, Mathieu

المساهمون: Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Systèmes Cognitifs et Systèmes Multi-Agents (SyCoSMA), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université du Luxembourg (Uni.lu), PFIA

المصدر: Conférence sur l’Apprentissage Automatique ; https://hal.science/hal-04184291 ; Conférence sur l’Apprentissage Automatique, PFIA, Jul 2023, Strasbourg, France

مصطلحات موضوعية: De-biased deep learning, Shortcut learning, Active learning, Image classification, Apprentissage profond non-biaisé, Apprentissage de raccourcis, Apprentissage actif, Classification d'image, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]

جغرافية الموضوع: Strasbourg, France

Relation: hal-04184291; https://hal.science/hal-04184291; https://hal.science/hal-04184291/document; https://hal.science/hal-04184291/file/CAp_2023_DEVILLERS.pdf

الاتاحة: https://hal.science/hal-04184291
https://hal.science/hal-04184291/document
https://hal.science/hal-04184291/file/CAp_2023_DEVILLERS.pdf

المؤلفون: Kaoutar Ben Ahmed, Lawrence O. Hall, Dmitry B. Goldgof, Ryan Fogarty

المصدر: IEEE Access, Vol 10, Pp 78726-78738 (2022)

مصطلحات موضوعية: Deep learning, CNN, shortcut learning, medical imaging, confounding features, COVID-19, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9839408/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/16171987368e4b53b22ab18acd3f86e4

المؤلفون: Dagaev, Nikolay, Roads, Brett D, Luo, Xiaoliang, Barry, Daniel N, Patil, Kaustubh R, Love, Bradley C

المصدر: Pattern Recognition Letters , 166 pp. 164-171. (2023)

مصطلحات موضوعية: Shortcut learning, Out-of-distribution generalization, Robustness, Deep learning

وصف الملف: text

Relation: https://discovery.ucl.ac.uk/id/eprint/10162512/1/1-s2.0-S0167865522003841-main.pdf; https://discovery.ucl.ac.uk/id/eprint/10162512/

الاتاحة: https://discovery.ucl.ac.uk/id/eprint/10162512/1/1-s2.0-S0167865522003841-main.pdf
https://discovery.ucl.ac.uk/id/eprint/10162512/

المؤلفون: Yujie Zhong, Xiao Li, Jiangjian Xie, Junguo Zhang

المصدر: Animals, Vol 13, Iss 5, p 838 (2023)

مصطلحات موضوعية: automatic wildlife recognition, shortcut learning, data augmentation, model compression, Veterinary medicine, SF600-1100, Zoology, QL1-991

Relation: https://www.mdpi.com/2076-2615/13/5/838; https://doaj.org/toc/2076-2615; https://doaj.org/article/4abc273fc5954607a91a76fa12348c00

الاتاحة: https://doi.org/10.3390/ani13050838
https://doaj.org/article/4abc273fc5954607a91a76fa12348c00

المؤلفون: Cardozo S., Montero G. I., Kazhdan D., Dimanov B., Wijaya M., Jamnik M., Lio P.

المساهمون: Cardozo, S., Montero, G. I., Kazhdan, D., Dimanov, B., Wijaya, M., Jamnik, M., Lio, P.

مصطلحات موضوعية: explainability, explainer evaluation, interpretability, post-hoc explanation, shortcut learning, spurious correlation, XAI

Relation: ispartofbook:CIKM-WS 2022 Proceedings of the CIKM 2022 Workshops; 2022 International Conference on Information and Knowledge Management Workshops, CIKM-WS 2022; volume:3318; lastpage:10; serie:CEUR WORKSHOP PROCEEDINGS; https://hdl.handle.net/11573/1727973

الاتاحة: https://hdl.handle.net/11573/1727973

المؤلفون: Frontiers Production Office

المصدر: Frontiers in Systems Neuroscience, Vol 16 (2022)

مصطلحات موضوعية: deep neural networks, biological neural networks, systems neuroscience, shortcut learning, neural coding, neural feature, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fnsys.2022.977573/full; https://doaj.org/toc/1662-5137

URL الوصول: https://doaj.org/article/b176dcd9f46c46f78c7e4b4a5baf341a

المؤلفون: Lin, Manxi, Weng, Nina, Mikolaj, Kamil, Bashir, Zahra, Svendsen, Morten B.S., Tolsgaard, Martin G., Christensen, Anders N., Feragen, Aasa

المساهمون: Linguraru, Marius George, Dou, Qi, Feragen, Aasa, Giannarou, Stamatia, Glocker, Ben, Lekadir, Karim, Schnabel, Julia A.

المصدر: Lin , M , Weng , N , Mikolaj , K , Bashir , Z , Svendsen , M B S , Tolsgaard , M G , Christensen , A N & Feragen , A 2024 , Shortcut Learning in Medical Image Segmentation . in M G Linguraru , Q Dou , A Feragen , S Giannarou , B Glocker , K Lekadir & J A Schnabel (eds) , Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 - 27th International Conference, Proceedings . Springer , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence ....

مصطلحات موضوعية: Medical Image Segmentation, Shortcut Learning

الاتاحة: https://researchprofiles.ku.dk/da/publications/shortcut-learning-inmedical-image-segmentation(e2af72c1-6937-4dc7-9de5-4686536e60f0).html
https://doi.org/10.1007/978-3-031-72111-3_59

المؤلفون: Hyojin Bae, Sang Jeong Kim, Chang-Eop Kim

المصدر: Frontiers in Systems Neuroscience, Vol 14 (2021)

مصطلحات موضوعية: deep neural networks, biological neural networks, systems neuroscience, shortcut learning, neural coding, neural feature, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fnsys.2020.615129/full; https://doaj.org/toc/1662-5137

URL الوصول: https://doaj.org/article/295db9b128614ef080625ce98c24a429

المؤلفون: Nauta, Meike, Walsh, Ricky, Dubowski, Adam, Seifert, Christin

مصطلحات موضوعية: ddc:610, Medizinische Fakultät » Universitätsklinikum Essen » Institut für KI in der Medizin (IKIM), deep learning -- explainable AI -- skin cancer diagnosis -- inpainting -- shortcut learning -- model bias -- confounding

Relation: https://doi.org/10.3390/diagnostics12010040; https://nbn-resolving.org/urn:nbn:de:hbz:465-20220805-114349-4; https://duepublico2.uni-due.de/receive/duepublico_mods_00076405; https://duepublico2.uni-due.de/servlets/MCRFileNodeServlet/duepublico_derivate_00076155/diagnostics-12-00040.pdf

الاتاحة: https://doi.org/10.3390/diagnostics12010040
https://nbn-resolving.org/urn:nbn:de:hbz:465-20220805-114349-4
https://duepublico2.uni-due.de/receive/duepublico_mods_00076405
https://duepublico2.uni-due.de/servlets/MCRFileNodeServlet/duepublico_derivate_00076155/diagnostics-12-00040.pdf

المؤلفون: Reich, Daniel

المساهمون: Schultz, Tanja, Putze, Felix, Stiefelhagen, Rainer

مصطلحات موضوعية: Visual Question Answering, Visual Grounding, Shortcut Learning, ddc:0

Time: 0

وصف الملف: application/pdf

Relation: https://media.suub.uni-bremen.de/handle/elib/8058; https://doi.org/10.26092/elib/3092; urn:nbn:de:gbv:46-elib80583

الاتاحة: https://media.suub.uni-bremen.de/handle/elib/8058
https://doi.org/10.26092/elib/3092
https://nbn-resolving.org/urn:nbn:de:gbv:46-elib80583

المؤلفون: Wei Qin Chuah, Ruwan Tennakoon, Reza Hoseinnezhad, David Suter, Alireza Bab-Hadiashar

مصطلحات موضوعية: Machine learning not elsewhere classified, Dense Prediction Tasks, Domain Generalization, Estimation, Optical Flow, Optical imaging, Robustness, Semantic Segmentation, Shortcut Learning, Stereo Matching, Synthetic data, Task analysis, Training

Relation: 10779/rmit.27568650.v1

الاتاحة: https://figshare.com/articles/journal_contribution/An_Information-Theoretic_Method_to_Automatic_Shortcut_Avoidance_and_Domain_Generalization_for_Dense_Prediction_Tasks/27568650

المؤلفون: Ahmadian, Amirhossein, 1992, Lindsten, Fredrik, 1984

المصدر: Proceedings of IEEE ICASSP 2023.

مصطلحات موضوعية: Deep Representation Learning, Shortcut Learning, Transfer Learning, Adversarial Methods, Computer Vision

وصف الملف: print

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-198763

المؤلفون: Dancette, Corentin

المساهمون: Machine Learning and Information Access (MLIA), Institut des Systèmes Intelligents et de Robotique (ISIR), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Sorbonne Université, Matthieu Cord

المصدر: https://hal.science/tel-04108647 ; Artificial Intelligence [cs.AI]. Sorbonne Université, 2023. English. ⟨NNT : 2023SORUS073⟩.

مصطلحات موضوعية: Deep learning, Visual question answering, Shortcut learning, Apprentissage machine, Apprentissage profond, Réseaux de neurones, Système de question-réponse visuels, Raccourcis statistiques, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]

Relation: NNT: 2023SORUS073; tel-04108647; https://hal.science/tel-04108647; https://hal.science/tel-04108647v2/document; https://hal.science/tel-04108647v2/file/DANCETTE_Corentin_these_2023.pdf

الاتاحة: https://hal.science/tel-04108647
https://hal.science/tel-04108647v2/document
https://hal.science/tel-04108647v2/file/DANCETTE_Corentin_these_2023.pdf

المؤلفون: Luo, Luyang, Xu, Dunyuan, Chen, Hao, Wong, Tien-Tsin, Heng, Pheng-Ann

مصطلحات موضوعية: Chest X-ray, Debias, Shortcut learning

Relation: https://repository.hkust.edu.hk/ir/Record/1783.1-121433; Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 13438 LNCS, 2022, p. 621-631; https://doi.org/10.1007/978-3-031-16452-1_59; http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=0302-9743&rft.volume=13438 LNCS&rft.issue=&rft.date=2022&rft.spage=621&rft.aulast=Luo&rft.aufirst=L.&rft.atitle=Pseudo+Bias-Balanced+Learning+for+Debiased+Chest+X-Ray+Classification&rft.title=Lecture+Notes+in+Computer+Science; http://www.scopus.com/record/display.url?eid=2-s2.0-85139062767&origin=inward; http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000867418200059

الاتاحة: https://repository.hkust.edu.hk/ir/Record/1783.1-121433
https://doi.org/10.1007/978-3-031-16452-1_59
http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=0302-9743&rft.volume=13438 LNCS&rft.issue=&rft.date=2022&rft.spage=621&rft.aulast=Luo&rft.aufirst=L.&rft.atitle=Pseudo+Bias-Balanced+Learning+for+Debiased+Chest+X-Ray+Classification&rft.title=Lecture+Notes+in+Computer+Science
http://www.scopus.com/record/display.url?eid=2-s2.0-85139062767&origin=inward
http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000867418200059

المؤلفون: D'hooge, Laurens, Verkerken, Miel, Volckaert, Bruno, Wauters, Tim, De Turck, Filip

المساهمون: Cavallaro, L, Gruss, D, Pellegrino, G, Giacinto, G

المصدر: Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2022 ; ISSN: 0302-9743 ; ISSN: 1611-3349 ; ISBN: 9783031094835 ; ISBN: 9783031094842

مصطلحات موضوعية: Technology and Engineering, PERFORMANCE, Intrusion detection, Machine learning, Shortcut learning, Dataset issues

وصف الملف: application/pdf

Relation: https://biblio.ugent.be/publication/8773209; http://hdl.handle.net/1854/LU-8773209; http://dx.doi.org/10.1007/978-3-031-09484-2_2; https://biblio.ugent.be/publication/8773209/file/8773210

الاتاحة: https://biblio.ugent.be/publication/8773209
http://hdl.handle.net/1854/LU-8773209
https://doi.org/10.1007/978-3-031-09484-2_2
https://biblio.ugent.be/publication/8773209/file/8773210

المؤلفون: Wang, Jiaxuan

مصطلحات موضوعية: regularization, causality, Engineering, out of distribution generalization, Computer Science, shortcut learning, model interpretability, shapley value

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::44962d184dfa0d3a05763eafc84ec2da