{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T04:34:04Z","timestamp":1743136444210,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":21,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811559242"},{"type":"electronic","value":"9789811559259"}],"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\/978-981-15-5925-9_18","type":"book-chapter","created":{"date-parts":[[2020,6,11]],"date-time":"2020-06-11T19:02:36Z","timestamp":1591902156000},"page":"211-221","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Genetic Operators Impact on Genetic Algorithms Based Variable Selection"],"prefix":"10.1007","author":[{"given":"Marco","family":"Vannucci","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Valentina","family":"Colla","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Silvia","family":"Cateni","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,6,12]]},"reference":[{"key":"18_CR1","doi-asserted-by":"publisher","first-page":"363","DOI":"10.1007\/978-3-319-33747-0_36","volume":"54","author":"S Cateni","year":"2016","unstructured":"Cateni, S., Colla, V.: The importance of variable selection for neural networks-based classification in an industrial context. Smart Innov. Syst. Technol. 54, 363\u2013370 (2016)","journal-title":"Smart Innov. Syst. Technol."},{"key":"18_CR2","first-page":"352","volume":"629","author":"S Cateni","year":"2016","unstructured":"Cateni, S., Colla, V.: Variable selection for efficient design of machine learning-based models: efficient approaches for industrial applications. Commun. Comput. Inf. Sci. 629, 352\u2013366 (2016)","journal-title":"Commun. Comput. Inf. Sci."},{"key":"18_CR3","doi-asserted-by":"crossref","unstructured":"Cateni, S., Colla, V., Vannucci, M.: General purpose input variables extraction: a genetic algorithm based procedure give a gap. In: 2009 9th International Conference on Intelligent Systems Design and Applications, pp. 1278\u20131283. IEEE (2009)","DOI":"10.1109\/ISDA.2009.190"},{"key":"18_CR4","doi-asserted-by":"crossref","unstructured":"Cateni, S., Colla, V., Vannucci, M.: Variable selection through genetic algorithms for classification purpose. In: Proceedings of the 10th IASTED International Conference on Artificial Intelligence and Applications, AIA 2010, pp. 6\u201311 (2010)","DOI":"10.2316\/P.2010.674-080"},{"issue":"2","key":"18_CR5","first-page":"30","volume":"12","author":"S Cateni","year":"2011","unstructured":"Cateni, S., Colla, V., Vannucci, M.: A genetic algorithm-based approach for selecting input variables and setting relevant network parameters of a som-based classifier. Int. J. Simul. Syst. Sci. Technol. 12(2), 30\u201337 (2011)","journal-title":"Int. J. Simul. Syst. Sci. Technol."},{"key":"18_CR6","doi-asserted-by":"crossref","unstructured":"Cateni, S., Colla, V., Vannucci, M.: A hybrid feature selection method for classification purposes. In: Proceedings\u2014UKSim-AMSS 8th European Modelling Symposium on Computer Modelling and Simulation, EMS 2014, pp. 39\u201344 (2014)","DOI":"10.1109\/EMS.2014.44"},{"key":"18_CR7","doi-asserted-by":"crossref","unstructured":"Colla, V., Matino, I., Dettori, S., Cateni, S., Matino, R.: Reservoir computing approaches applied to energy management in industry, Communications in Computer and Information Science, pp. 66\u201369, vol. 1000. Springer (2019)","DOI":"10.1007\/978-3-030-20257-6_6"},{"issue":"1","key":"18_CR8","first-page":"47","volume":"112","author":"V Colla","year":"2020","unstructured":"Colla, V., Vannucci, M., Bacchi, L., Valentini, R.: Neural networks-based prediction of hardenability of high performance carburizing steels for automotive applications. La Metallurgia Italiana 112(1), 47\u201353 (2020)","journal-title":"La Metallurgia Italiana"},{"issue":"9\u201312","key":"18_CR9","doi-asserted-by":"publisher","first-page":"1511","DOI":"10.1007\/s00170-012-4435-2","volume":"66","author":"A Dimatteo","year":"2013","unstructured":"Dimatteo, A., Vannucci, M., Colla, V.: Prediction of hot deformation resistance during processing of microalloyed steels in plate rolling process. Int. J. Adv. Manuf. Technol. 66(9\u201312), 1511\u20131521 (2013)","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"18_CR10","unstructured":"Guyon, I., Elisseeff, A.: An introduction to variable and feature selection. J. Mach. Learn. Res. 3, 1157\u20131182 (2003)"},{"key":"18_CR11","unstructured":"He, X., Cai, D., Niyogi, P.: Laplacian score for feature selection. In: Advances in Neural Information Processing Systems, pp. 507\u2013514 (2006)"},{"issue":"2","key":"18_CR12","doi-asserted-by":"publisher","first-page":"323","DOI":"10.3390\/e14020323","volume":"14","author":"P Latorre Carmona","year":"2012","unstructured":"Latorre Carmona, P., Sotoca, J.M., Pla, F.: Filter-type variable selection based on information measures for regression tasks. Entropy 14(2), 323\u2013343 (2012)","journal-title":"Entropy"},{"issue":"404","key":"18_CR13","doi-asserted-by":"publisher","first-page":"1023","DOI":"10.1080\/01621459.1988.10478694","volume":"83","author":"TJ Mitchell","year":"1988","unstructured":"Mitchell, T.J., Beauchamp, J.J.: Bayesian variable selection in linear regression. J. Am. Stat. Assoc. 83(404), 1023\u20131032 (1988)","journal-title":"J. Am. Stat. Assoc."},{"issue":"473","key":"18_CR14","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1198\/016214506000000113","volume":"101","author":"AE Raftery","year":"2006","unstructured":"Raftery, A.E., Dean, N.: Variable selection for model-based clustering. J. Am. Stat. Assoc. 101(473), 168\u2013178 (2006)","journal-title":"J. Am. Stat. Assoc."},{"key":"18_CR15","doi-asserted-by":"crossref","unstructured":"Roobaert, D., Karakoulas, G., Chawla, N.V.: Information gain, correlation and support vector machines. In: Feature extraction, pp. 463\u2013470. Springer (2006)","DOI":"10.1007\/978-3-540-35488-8_23"},{"issue":"4","key":"18_CR16","doi-asserted-by":"publisher","first-page":"835","DOI":"10.1016\/S0031-3203(01)00084-X","volume":"35","author":"M Sebban","year":"2002","unstructured":"Sebban, M., Nock, R.: A hybrid filter\/wrapper approach of feature selection using information theory. Pattern Recog. 35(4), 835\u2013846 (2002)","journal-title":"Pattern Recog."},{"issue":"1","key":"18_CR17","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1016\/j.isatra.2011.07.004","volume":"51","author":"M Sgarbi","year":"2012","unstructured":"Sgarbi, M., Colla, V., Cateni, S., Higson, S.: Pre-processing of data coming from a laser-emat system for non-destructive testing of steel slabs. ISA Trans. 51(1), 181\u2013188 (2012)","journal-title":"ISA Trans."},{"issue":"4","key":"18_CR18","doi-asserted-by":"publisher","first-page":"1805","DOI":"10.3233\/IFS-141467","volume":"28","author":"M Vannucci","year":"2015","unstructured":"Vannucci, M., Colla, V.: Fuzzy adaptation of crossover and mutation rates in genetic algorithms based on population performance. J. Intell. Fuzzy Syst. 28(4), 1805\u20131818 (2015)","journal-title":"J. Intell. Fuzzy Syst."},{"key":"18_CR19","doi-asserted-by":"crossref","unstructured":"Vannucci, M., Colla, V.: Quality improvement through the preventive detection of potentially defective products in the automotive industry by means of advanced artificial intelligence techniques. In: Intelligent Decision Technologies 2019, pp. 3\u201312. Smart Innovation, Systems and Technologies, Springer (2019)","DOI":"10.1007\/978-981-13-8303-8_1"},{"issue":"12","key":"18_CR20","doi-asserted-by":"publisher","first-page":"1128","DOI":"10.1016\/j.ifacol.2016.07.650","volume":"49","author":"M Vannucci","year":"2016","unstructured":"Vannucci, M., Colla, V., Dettori, S.: Fuzzy adaptive genetic algorithm for improving the solution of industrial optimization problems. IFAC-PapersOnLine 49(12), 1128\u20131133 (2016)","journal-title":"IFAC-PapersOnLine"},{"key":"18_CR21","first-page":"156","volume":"2","author":"S Wu","year":"2002","unstructured":"Wu, S., Flach, P.A.: Feature selection with labelled and unlabelled data. ECML\/PKDD 2, 156\u2013167 (2002)","journal-title":"ECML\/PKDD"}],"container-title":["Smart Innovation, Systems and Technologies","Intelligent Decision Technologies"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-5925-9_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,6,11]],"date-time":"2020-06-11T19:04:32Z","timestamp":1591902272000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-15-5925-9_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9789811559242","9789811559259"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-5925-9_18","relation":{},"ISSN":["2190-3018","2190-3026"],"issn-type":[{"type":"print","value":"2190-3018"},{"type":"electronic","value":"2190-3026"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"12 June 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IDT","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Decision Technologies","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Radisson Blue Spa Resort, Split","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Croatia","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":"17 June 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 June 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"idt2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}