{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T22:34:51Z","timestamp":1781217291724,"version":"3.54.1"},"reference-count":78,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Visual. Comput. Graphics"],"published-print":{"date-parts":[[2024,2]]},"DOI":"10.1109\/tvcg.2022.3219248","type":"journal-article","created":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T21:58:39Z","timestamp":1667512719000},"page":"1502-1515","source":"Crossref","is-referenced-by-count":10,"title":["The\n                    <i>Transform-and-Perform<\/i>\n                    Framework: Explainable Deep Learning Beyond Classification"],"prefix":"10.1109","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9296-3693","authenticated-orcid":false,"given":"Vidya","family":"Prasad","sequence":"first","affiliation":[{"name":"Department of Mathematics and Computer Science, Eindhoven University of Technology, AZ, Eindhoven, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2845-0495","authenticated-orcid":false,"given":"Ruud J. G.","family":"van Sloun","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1245-0503","authenticated-orcid":false,"given":"Stef van den","family":"Elzen","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Computer Science, Eindhoven University of Technology, AZ, Eindhoven, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1034-737X","authenticated-orcid":false,"given":"Anna","family":"Vilanova","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Computer Science, Eindhoven University of Technology, AZ, Eindhoven, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7346-9182","authenticated-orcid":false,"given":"Nicola","family":"Pezzotti","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Computer Science, Eindhoven University of Technology, AZ, Eindhoven, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.06.139"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/7068349"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s12194-019-00520-y"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2979670"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.27078"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2019.2932116"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1002\/mp.12155"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-020-01060-x"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-1951"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3390\/s21092952"},{"key":"ref11","article-title":"Underspecification presents challenges for credibility in modern machine learning","author":"D\u2019Amour","year":"2020"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2018.2843369"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2017.2744718"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2016.2570755"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2021.3114855"},{"key":"ref16","article-title":"Geometric deep learning: Grids, groups, graphs, geodesics, and gauges","author":"Bronstein","year":"2021"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2019.2934659"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.14302"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2019.2934261"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2017.2744358"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2020.3030461"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2020.2973258"},{"key":"ref23","first-page":"19","article-title":"Visual ensemble analysis to study the influence of hyper-parameters on training deep neural networks","volume-title":"Proc. Annu. Conf. Vis. Mach. Learn.","author":"Hamid"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2018.2864838"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.01.105"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/VAST.2017.8585720"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2019.2934629"},{"key":"ref28","first-page":"7","article-title":"Modelspex: Model specification using explainable artificial intelligence methods","volume-title":"Proc. Int. Workshop Mach. Learn. Vis. Big Data","author":"Schlegel"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2211477"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.2196\/26151"},{"key":"ref31","article-title":"Classification of medical images and illustrations in the biomedical literature using synergic deep learning","author":"Zhang","year":"2017"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2021.3114837"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref34","first-page":"2971","article-title":"Noise2noise: Learning image restoration without clean data","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Lehtinen"},{"key":"ref35","article-title":"VATUN: Visual analytics for testing and understanding convolutional neural networks","volume-title":"Proc. Eurographics Conf. Vis.","author":"Park"},{"key":"ref36","first-page":"2017","article-title":"Spatial transformer networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Jaderberg"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1201\/b17511"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13667"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2016.2598838"},{"key":"ref41","article-title":"Interpreting black-box semantic segmentation models in remote sensing applications","volume-title":"Proc. Conf. Mach. Learn. Methods Vis. Big Data","author":"Janik"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/VIS47514.2020.00061"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.14418"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-70956-5_7"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/VISUAL.2005.1532781"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2020.3028888"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2018.2865043"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939778"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2018.2816223"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2018.2864500"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.14524"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13681"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2014.2346325"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.14289"},{"key":"ref55","article-title":"fastMRI: An open dataset and benchmarks for accelerated MRI","author":"Zbontar","year":"2018"},{"key":"ref56","first-page":"2990","article-title":"Group equivariant convolutional networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Cohen"},{"key":"ref57","article-title":"Benchmarking neural network robustness to common corruptions and perturbations","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Hendrycks"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_53"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2020.07.025"},{"key":"ref60","first-page":"9453","article-title":"ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Barbu"},{"key":"ref61","first-page":"2433","article-title":"Measuring robustness in deep learning based compressive sensing","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Darestani"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1145\/2939502.2939503"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1007\/s40708-016-0043-5"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13672"},{"key":"ref65","article-title":"Embedding projector: Interactive visualization and interpretation of embeddings","volume-title":"Proc. Neural Inf. Process. Syst. Workshop Interpretable ML Complex Syst.","author":"Smilkov"},{"key":"ref66","first-page":"6391","article-title":"Visualizing the loss landscape of neural nets","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Li"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00513"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2017.10.011"},{"key":"ref70","first-page":"5922","article-title":"Neuron shapley: Discovering the responsible neurons","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Ghorbani"},{"key":"ref71","article-title":"Excessive invariance causes adversarial vulnerability","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Jacobsen"},{"key":"ref72","first-page":"193","article-title":"Visual analytics for the exploration and assessment of segmentation errors","volume-title":"Proc. Eurographics Workshop Vis. Comput. Biol. Med.","author":"Raidou"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/access.2023.3243466"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2019.2934619"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1080\/10618600.2014.907095"},{"key":"ref77","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"Radford","year":"2015"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2919431"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.21105\/joss.00861"}],"container-title":["IEEE Transactions on Visualization and Computer Graphics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/2945\/10379475\/09937145.pdf?arnumber=9937145","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T18:50:45Z","timestamp":1704999045000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9937145\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2]]},"references-count":78,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tvcg.2022.3219248","relation":{"has-preprint":[{"id-type":"doi","id":"10.36227\/techrxiv.21346425.v2","asserted-by":"object"},{"id-type":"doi","id":"10.36227\/techrxiv.21346425.v1","asserted-by":"object"},{"id-type":"doi","id":"10.36227\/techrxiv.21346425","asserted-by":"object"}]},"ISSN":["1077-2626","1941-0506","2160-9306"],"issn-type":[{"value":"1077-2626","type":"print"},{"value":"1941-0506","type":"electronic"},{"value":"2160-9306","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,2]]}}}