{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T17:05:27Z","timestamp":1743095127903,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030487904"},{"type":"electronic","value":"9783030487911"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-48791-1_43","type":"book-chapter","created":{"date-parts":[[2020,5,27]],"date-time":"2020-05-27T14:02:52Z","timestamp":1590588172000},"page":"546-557","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Robust Multilayer Perceptrons: Robust Loss Functions and Their Derivatives"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8491-0364","authenticated-orcid":false,"given":"Jan","family":"Kalina","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3879-3459","authenticated-orcid":false,"given":"Petra","family":"Vidnerov\u00e1","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,5,28]]},"reference":[{"key":"43_CR1","doi-asserted-by":"publisher","first-page":"945","DOI":"10.1007\/s00521-012-1315-5","volume":"24","author":"CH Aladag","year":"2014","unstructured":"Aladag, C.H., Egrioglu, E., Yolcu, U.: Robust multilayer neural network based on median neuron model. Neural Comput. Appl. 24, 945\u2013956 (2014)","journal-title":"Neural Comput. Appl."},{"key":"43_CR2","doi-asserted-by":"publisher","first-page":"1467","DOI":"10.1080\/02331934.2012.674946","volume":"61","author":"G Beliakov","year":"2012","unstructured":"Beliakov, G., Kelarev, A., Yearwood, J.: Derivative-free optimization and neural networks for robust regression. Optimization 61, 1467\u20131490 (2012)","journal-title":"Optimization"},{"unstructured":"Cisse, M., Bojanowski, P., Grave, E., Dauphin, Y., Usunier, N.: Parseval networks: improving robustness to adversarial examples. In: Proceedings of the 34th International Conference on Machine Learning ICML 2017, pp. 854\u2013863 (2017)","key":"43_CR3"},{"key":"43_CR4","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/j.patcog.2016.04.005","volume":"58","author":"P D\u2019Urso","year":"2016","unstructured":"D\u2019Urso, P., Leski, J.M.: Fuzzy $$c$$-ordered medoids clustering for interval-valued data. Pattern Recogn. 58, 49\u201367 (2016)","journal-title":"Pattern Recogn."},{"unstructured":"Frank, A., Asuncion, A.: UCI Machine Learning Repository. University of California, Irvine (2010). http:\/\/archive.ics.uci.edu\/ml\/","key":"43_CR5"},{"key":"43_CR6","volume-title":"Neural Networks and Learning Machines: A Comprehensive Foundation","author":"SO Haykin","year":"2009","unstructured":"Haykin, S.O.: Neural Networks and Learning Machines: A Comprehensive Foundation, 2nd edn. Prentice Hall, Upper Saddle River (2009)","edition":"2"},{"key":"43_CR7","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511845765","volume-title":"Applied Nonparametric Econometrics","author":"DJ Henderson","year":"2015","unstructured":"Henderson, D.J., Parmeter, C.F.: Applied Nonparametric Econometrics. Cambridge University Press, New York (2015)"},{"key":"43_CR8","doi-asserted-by":"publisher","DOI":"10.1201\/b21993","volume-title":"Robust Statistical Methods with R","author":"J Jure\u010dkov\u00e1","year":"2019","unstructured":"Jure\u010dkov\u00e1, J., Picek, J., Schindler, M.: Robust Statistical Methods with R, 2nd edn. Chapman & Hall\/CRC, Boca Raton (2019)","edition":"2"},{"key":"43_CR9","doi-asserted-by":"publisher","first-page":"556","DOI":"10.1016\/j.bbe.2018.04.005","volume":"38","author":"J Kalina","year":"2018","unstructured":"Kalina, J.: A robust pre-processing of BeadChip microarray images. Biocybern. Biomed. Eng. 38, 556\u2013563 (2018)","journal-title":"Biocybern. Biomed. Eng."},{"key":"43_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2015\/320385","volume":"2015","author":"Jan Kalina","year":"2015","unstructured":"Kalina, J., Schlenker, A.: A robust supervised variable selection for noisy high-dimensional data. BioMed Res. Int. 2015, 1\u201310 (2015). Article no. 320385","journal-title":"BioMed Research International"},{"key":"43_CR11","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1007\/978-3-030-20912-4_11","volume-title":"Artificial Intelligence and Soft Computing","author":"Jan Kalina","year":"2019","unstructured":"Kalina, J., Vidnerov\u00e1, P.: Robust training of radial basis function neural networks. In: Proceedings 18th International Conference ICAISC 2019. Lecture Notes in Computer Science, vol. 11508, pp. 113\u2013124 (2019)"},{"doi-asserted-by":"crossref","unstructured":"Kalina, J., Vidnerov\u00e1, P.: On robust training of regression neural networks. In: Proceedings 5th International Workshop on Functional and Operatorial Statistics IWFOS (2020, accepted)","key":"43_CR12","DOI":"10.1007\/978-3-030-47756-1_20"},{"key":"43_CR13","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1007\/s00500-015-1690-9","volume":"20","author":"M Kordos","year":"2016","unstructured":"Kordos, M., Rusiecki, A.: Reducing noise impact on MLP training-techniques and algorithms to provide noise-robustness in MLP network training. Soft. Comput. 20, 46\u201365 (2016)","journal-title":"Soft. Comput."},{"key":"43_CR14","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1007\/s10994-015-5507-y","volume":"100","author":"H Paulheim","year":"2015","unstructured":"Paulheim, H., Meusel, R.: A decomposition of the outlier detection problem into a set of supervised learning problems. Mach. Learn. 100, 509\u2013531 (2015)","journal-title":"Mach. Learn."},{"key":"43_CR15","doi-asserted-by":"publisher","DOI":"10.1093\/oxfordhb\/9780199857944.001.0001","volume-title":"The Oxford Handbook of Applied Nonparametric and Semiparametric Econometrics and Statistics","author":"J Racine","year":"2014","unstructured":"Racine, J., Su, L., Ullah, A.: The Oxford Handbook of Applied Nonparametric and Semiparametric Econometrics and Statistics. Oxford University Press, Oxford (2014)"},{"key":"43_CR16","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1007\/s10618-005-0024-4","volume":"12","author":"PJ Rousseeuw","year":"2006","unstructured":"Rousseeuw, P.J., Van Driessen, K.: Computing LTS regression for large data sets. Data Min. Knowl. Disc. 12, 29\u201345 (2006)","journal-title":"Data Min. Knowl. Disc."},{"key":"43_CR17","doi-asserted-by":"publisher","first-page":"624","DOI":"10.1016\/j.neucom.2013.04.008","volume":"120","author":"A Rusiecki","year":"2013","unstructured":"Rusiecki, A.: Robust learning algorithm based on LTA estimator. Neurocomputing 120, 624\u2013632 (2013)","journal-title":"Neurocomputing"},{"unstructured":"Rusiecki, A., Kordos, M., Kami\u0144ski, T., Gre\u0144, K.: Training neural networks on noisy data. Lect. Notes Artif. Intell. 8467, 131\u2013142 (2014)","key":"43_CR18"},{"key":"43_CR19","first-page":"1","volume":"42","author":"J\u00c1 V\u00ed\u0161ek","year":"2006","unstructured":"V\u00ed\u0161ek, J.\u00c1.: The least trimmed squares. Part I: consistency. Kybernetika 42, 1\u201336 (2006)","journal-title":"Kybernetika"},{"key":"43_CR20","first-page":"179","volume":"47","author":"J\u00c1 V\u00ed\u0161ek","year":"2011","unstructured":"V\u00ed\u0161ek, J.\u00c1.: Consistency of the least weighted squares under heteroscedasticity. Kybernetika 47, 179\u2013206 (2011)","journal-title":"Kybernetika"}],"container-title":["Proceedings of the International Neural Networks Society","Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-48791-1_43","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,3,17]],"date-time":"2021-03-17T08:05:30Z","timestamp":1615968330000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-48791-1_43"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030487904","9783030487911"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-48791-1_43","relation":{},"ISSN":["2661-8141","2661-815X"],"issn-type":[{"type":"print","value":"2661-8141"},{"type":"electronic","value":"2661-815X"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"28 May 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EANN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Engineering Applications of Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Halkidiki","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 June 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 June 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eann2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.eann2020.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}