{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T03:21:06Z","timestamp":1740108066052,"version":"3.37.3"},"reference-count":24,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2024,7,8]],"date-time":"2024-07-08T00:00:00Z","timestamp":1720396800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,7,8]],"date-time":"2024-07-08T00:00:00Z","timestamp":1720396800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"HAT.tec GmbH"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Pattern Anal Applic"],"published-print":{"date-parts":[[2024,9]]},"DOI":"10.1007\/s10044-024-01299-4","type":"journal-article","created":{"date-parts":[[2024,7,8]],"date-time":"2024-07-08T08:01:51Z","timestamp":1720425711000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Exploring methods for the generation of visual counterfactuals in the latent space"],"prefix":"10.1007","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2095-8219","authenticated-orcid":false,"given":"David","family":"Morales","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manuel P.","family":"Cu\u00e9llar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Diego P.","family":"Morales","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,7,8]]},"reference":[{"issue":"5","key":"1299_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11063-023-11155-x","volume":"55","author":"S Abbaasi","year":"2023","unstructured":"Abbaasi S, Ghiasi-Shirazi K, Harati A (2023) A multi-prototype capsule network for image recognition with high intra-class variations. Neural Process Lett 55(5):1\u201315","journal-title":"Neural Process Lett"},{"key":"1299_CR2","unstructured":"Alvarez\u00a0Melis D, Jaakkola T (2018) Towards robust interpretability with self-explaining neural networks. Adv Neural Inf Process Syst 31"},{"key":"1299_CR3","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1016\/j.inffus.2019.12.012","volume":"58","author":"AB Arrieta","year":"2020","unstructured":"Arrieta AB, D\u00edaz-Rodr\u00edguez N, Del Ser J, Bennetot A, Tabik S, Barbado A, Garc\u00eda S, Gil-L\u00f3pez S, Molina D, Benjamins R et al (2020) Explainable artificial intelligence (XAI): concepts, taxonomies, opportunities and challenges toward responsible AI. Inf Fusion 58:82\u2013115","journal-title":"Inf Fusion"},{"key":"1299_CR4","doi-asserted-by":"crossref","unstructured":"Artelt A, Vaquet V, Velioglu R, Hinder F, Brinkrolf J, Schilling M, Hammer B (2021) Evaluating robustness of counterfactual explanations. In: 2021 IEEE symposium series on computational intelligence (SSCI), pp. 01\u201309","DOI":"10.1109\/SSCI50451.2021.9660058"},{"key":"1299_CR5","unstructured":"Bennetot A, Laurent J-L, Chatila R, D\u00edaz-Rodr\u00edguez N (2019) Towards explainable neural-symbolic visual reasoning. In: IJCAI neural-symbolic learning and reasoning workshop"},{"issue":"1","key":"1299_CR6","first-page":"1","volume":"32","author":"T Freiesleben","year":"2021","unstructured":"Freiesleben T (2021) The intriguing relation between counterfactual explanations and adversarial examples. Minds Mach 32(1):1\u201333","journal-title":"Minds Mach"},{"issue":"11","key":"1299_CR7","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1145\/3422622","volume":"63","author":"I Goodfellow","year":"2020","unstructured":"Goodfellow I, Pouget-Abadie J, Mirza M, Xu B, Warde-Farley D, Ozair S, Courville A, Bengio Y (2020) Generative adversarial networks. Commun ACM 63(11):139\u2013144. https:\/\/doi.org\/10.1145\/3422622","journal-title":"Commun ACM"},{"key":"1299_CR8","doi-asserted-by":"publisher","unstructured":"Khan Salman\u00a0H, Hayat M, Barnes N (2018) Adversarial training of variational auto-encoders for high fidelity image generation. In: 2018 IEEE winter conference on applications of computer vision (WACV), pp 1312\u20131320, https:\/\/doi.org\/10.1109\/WACV.2018.00148","DOI":"10.1109\/WACV.2018.00148"},{"key":"1299_CR9","unstructured":"Kingma Diederik\u00a0P, Ba J (2015) Adam: a method for stochastic optimization. In: 3rd international conference on learning representations, pp 1\u201315"},{"key":"1299_CR10","unstructured":"Kingma Diederik\u00a0P, Welling M (2014) Auto-encoding variational Bayes in 2nd international conference on learning representations. In: ICLR 2014-conference track proceedings"},{"key":"1299_CR11","doi-asserted-by":"crossref","unstructured":"Kingma Diederik\u00a0P, Welling M (2019) An introduction to variational autoencoders. arXiv preprint arXiv:1906.02691","DOI":"10.1561\/9781680836233"},{"issue":"181","key":"1299_CR12","first-page":"1","volume":"22","author":"J Klaise","year":"2021","unstructured":"Klaise J, Van Looveren A, Vacanti G, Coca A (2021) Alibi explain: algorithms for explaining machine learning models. J Mach Learn Res 22(181):1\u20137","journal-title":"J Mach Learn Res"},{"key":"1299_CR13","unstructured":"LeCun Y, Cortes C, Burges CJ (2010) Mnist handwritten digit database. ATT Labs. Available http:\/\/yann.lecun.com\/exdb\/mnist"},{"key":"1299_CR14","unstructured":"Molnar C (2020) Interpretable machine learning. Lulu.com"},{"key":"1299_CR15","unstructured":"Nemirovsky D, Thiebaut N, Xu Y, Gupta A (2020) Countergan: generating realistic counterfactuals with residual generative adversarial nets. arXiv preprint arXiv:2009.05199"},{"key":"1299_CR16","unstructured":"Perarnau G, Van De\u00a0Weijer J, Raducanu B, \u00c1lvarez JM (2016) Invertible conditional gans for image editing. arXiv preprint arXiv:1611.06355"},{"issue":"12","key":"1299_CR17","doi-asserted-by":"publisher","first-page":"2807","DOI":"10.1109\/TMI.2019.2914656","volume":"38","author":"M Pesteie","year":"2019","unstructured":"Pesteie M, Abolmaesumi P, Rohling RN (2019) Adaptive augmentation of medical data using independently conditional variational auto-encoders. IEEE Trans Med Imaging 38(12):2807\u20132820. https:\/\/doi.org\/10.1109\/TMI.2019.2914656","journal-title":"IEEE Trans Med Imaging"},{"key":"1299_CR18","doi-asserted-by":"crossref","unstructured":"Ribeiro MT, Singh S, Guestrin C (2016) Why should I trust you? Explaining the predictions of any classifier. In: ACM SIGKDD international conference on knowledge discovery and data mining, pp 1135\u20131144","DOI":"10.1145\/2939672.2939778"},{"key":"1299_CR19","doi-asserted-by":"crossref","unstructured":"Singla S, Pollack B, Wallace S, Batmanghelich K (2021) Explaining the black-box smoothly-a counterfactual approach. arXiv preprint arXiv:2101.04230","DOI":"10.36227\/techrxiv.14777772.v1"},{"key":"1299_CR20","doi-asserted-by":"crossref","unstructured":"Van Looveren A, Klaise J (2021) Interpretable counterfactual explanations guided by prototypes. In: Joint European conference on machine learning and knowledge discovery in databases. Springer: New York, pp 650\u2013665","DOI":"10.1007\/978-3-030-86520-7_40"},{"key":"1299_CR21","first-page":"841","volume":"31","author":"S Wachter","year":"2017","unstructured":"Wachter S, Mittelstadt B, Russell C (2017) Counterfactual explanations without opening the black box: automated decisions and the GDPR. Harv JL Tech 31:841","journal-title":"Harv JL Tech"},{"key":"1299_CR22","doi-asserted-by":"crossref","unstructured":"Wang P, Vasconcelos N (2020) Scout: self-aware discriminant counterfactual explanations. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition (CVPR)","DOI":"10.1109\/CVPR42600.2020.00900"},{"key":"1299_CR23","unstructured":"Xiao H, Rasul K, Vollgraf R (2017) Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms. CoRR, http:\/\/arxiv.org\/abs\/1708.07747"},{"key":"1299_CR24","doi-asserted-by":"crossref","unstructured":"Zhou B, Khosla A, Lapedriza A, Oliva A, Torralba A (2016) Learning deep features for discriminative localization. In: IEEE conference on computer vision and pattern recognition, pp 2921\u20132929","DOI":"10.1109\/CVPR.2016.319"}],"container-title":["Pattern Analysis and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-024-01299-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10044-024-01299-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-024-01299-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,12]],"date-time":"2024-09-12T18:12:26Z","timestamp":1726164746000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10044-024-01299-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,8]]},"references-count":24,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2024,9]]}},"alternative-id":["1299"],"URL":"https:\/\/doi.org\/10.1007\/s10044-024-01299-4","relation":{},"ISSN":["1433-7541","1433-755X"],"issn-type":[{"type":"print","value":"1433-7541"},{"type":"electronic","value":"1433-755X"}],"subject":[],"published":{"date-parts":[[2024,7,8]]},"assertion":[{"value":"10 March 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 June 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 July 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declaration"}},{"value":"The authors declare that they have no Conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"81"}}