{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T00:30:22Z","timestamp":1761611422519,"version":"3.37.3"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"S2","license":[{"start":{"date-parts":[[2017,6,28]],"date-time":"2017-06-28T00:00:00Z","timestamp":1498608000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001807","name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","doi-asserted-by":"publisher","award":["2009\/16206-1","2014\/16250-9","2011\/14094-1"],"award-info":[{"award-number":["2009\/16206-1","2014\/16250-9","2011\/14094-1"]}],"id":[{"id":"10.13039\/501100001807","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003593","name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","doi-asserted-by":"publisher","award":["303182\/2011-3","470571\/2013-6","475406\/2010-9","304603\/2012-0","308816\/2012-9","303182\/2011-3","470501\/2013-8","301928\/2014-2","306166\/2014-3"],"award-info":[{"award-number":["303182\/2011-3","470571\/2013-6","475406\/2010-9","304603\/2012-0","308816\/2012-9","303182\/2011-3","470501\/2013-8","301928\/2014-2","306166\/2014-3"]}],"id":[{"id":"10.13039\/501100003593","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2019,2]]},"DOI":"10.1007\/s00521-017-3124-3","type":"journal-article","created":{"date-parts":[[2017,6,28]],"date-time":"2017-06-28T07:20:46Z","timestamp":1498634446000},"page":"1317-1329","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Automatic identification of epileptic EEG signals through binary magnetic optimization algorithms"],"prefix":"10.1007","volume":"31","author":[{"given":"Lu\u00eds A. M.","family":"Pereira","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6494-7514","authenticated-orcid":false,"given":"Jo\u00e3o P.","family":"Papa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andr\u00e9 L. V.","family":"Coelho","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Clodoaldo A. M.","family":"Lima","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Danillo R.","family":"Pereira","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Victor Hugo C.","family":"de Albuquerque","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,6,28]]},"reference":[{"key":"3124_CR1","doi-asserted-by":"publisher","first-page":"061907-1","DOI":"10.1103\/PhysRevE.64.061907","volume":"64","author":"RG Andrzejak","year":"2001","unstructured":"Andrzejak RG, Lehnertz K, Mormann F, Rieke C, David P, Elger CE (2001) Indications of nonlinear deterministic and finite dimensional structures in time series of brain electrical activity: dependence on recording region and brain state. Phys Rev E Stat Nonlinear Soft Matter Phys 64:061907-1\u2013061907-6","journal-title":"Phys Rev E Stat Nonlinear Soft Matter Phys"},{"key":"3124_CR2","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1016\/S0920-1211(01)00195-4","volume":"44","author":"RG Andrzejak","year":"2001","unstructured":"Andrzejak RG, Widman G, Lehnertz K, Rieke C, David P, Elger CE (2001) The epileptic process as nonlinear deterministic dynamics in a stochastic environment: an evaluation on mesial temporal lobe epilepsy. Epilepsy Res 44:129\u2013140","journal-title":"Epilepsy Res"},{"key":"3124_CR3","volume-title":"Handbook of Epilepsy","author":"TR Browne","year":"2003","unstructured":"Browne TR, Holmes GL (2003) Handbook of Epilepsy. Lippincott Williams & Wilkins, Philadelphia"},{"key":"3124_CR4","doi-asserted-by":"publisher","first-page":"1257","DOI":"10.1056\/NEJMra022308","volume":"349","author":"BS Chang","year":"2003","unstructured":"Chang BS, Lowenstein DH (2003) Epilepsy. N Engl J Med 349:1257\u20131266","journal-title":"N Engl J Med"},{"key":"3124_CR5","first-page":"1","volume":"7","author":"J Dem\u0161ar","year":"2006","unstructured":"Dem\u0161ar J (2006) Statistical comparisons of classifiers over multiple data sets. J Mach Learn Res 7:1\u201330","journal-title":"J Mach Learn Res"},{"key":"3124_CR6","doi-asserted-by":"crossref","unstructured":"Firpi HA, Goodman E (2004) Swarmed feature selection. In: Proceedings of the 33rd applied imagery pattern recognition workshop, IEEE Computer Society, Washington, DC, USA, pp 112\u2013118","DOI":"10.1109\/AIPR.2004.41"},{"issue":"17","key":"3124_CR7","doi-asserted-by":"publisher","first-page":"3051","DOI":"10.1016\/j.neucom.2011.04.029","volume":"74","author":"T Gandhi","year":"2011","unstructured":"Gandhi T, Panigrahi BK, Anan S (2011) A comparative study of wavelet families for EEG signal classification. Neurocomputing 74(17):3051\u20133057","journal-title":"Neurocomputing"},{"key":"3124_CR8","doi-asserted-by":"publisher","first-page":"530","DOI":"10.1016\/0013-4694(82)90038-4","volume":"54","author":"J Gotman","year":"1982","unstructured":"Gotman J (1982) Automatic recognition of epileptic seizures in the EEG. Electroencephalogr Clin Neurophysiol 54:530\u2013540","journal-title":"Electroencephalogr Clin Neurophysiol"},{"key":"3124_CR9","first-page":"1157","volume":"3","author":"I Guyon","year":"2003","unstructured":"Guyon I, Elisseeff A (2003) An introduction to variable and feature selection. J Mach Learn Res 3:1157\u20131182","journal-title":"J Mach Learn Res"},{"key":"3124_CR10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-35488-8","volume-title":"Feature extraction: foundations and applications","author":"I Guyon","year":"2006","unstructured":"Guyon I, Gunn S, Nikravesh M, Zadeh LA (2006) Feature extraction: foundations and applications. Springer, Berlin"},{"key":"3124_CR11","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1016\/S0165-1684(97)00038-8","volume":"59","author":"N Hazarika","year":"1997","unstructured":"Hazarika N, Chen JZ, Tsoi AC, Sergejew A (1997) Classification of EEG signals using the wavelet transform. Signal Process 59:61\u201372","journal-title":"Signal Process"},{"issue":"3","key":"3124_CR12","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1007\/s00707-009-0270-4","volume":"213","author":"A Kaveh","year":"2010","unstructured":"Kaveh A, Talatahari S (2010) A novel heuristic optimization method: charged system search. Acta Mech 213(3):267\u2013289","journal-title":"Acta Mech"},{"key":"3124_CR13","volume-title":"Genetic programming: on the programming of computers by means of natural selection","author":"JR Koza","year":"1992","unstructured":"Koza JR (1992) Genetic programming: on the programming of computers by means of natural selection. MIT Press, Cambridge"},{"key":"3124_CR14","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1016\/j.artmed.2011.07.003","volume":"53","author":"CAM Lima","year":"2011","unstructured":"Lima CAM, Coelho ALV (2011) Kernel machines for epilepsy diagnosis via EEG signal classification: a comparative study. Artif Intell Med 53:83\u201395","journal-title":"Artif Intell Med"},{"key":"3124_CR15","doi-asserted-by":"publisher","first-page":"10054","DOI":"10.1016\/j.eswa.2009.01.022","volume":"36","author":"CAM Lima","year":"2009","unstructured":"Lima CAM, Coelho ALV, Chagas S (2009) Automatic EEG signal classification for epilepsy diagnosis with relevance vector machines. Expert Syst Appl 36:10054\u201310059","journal-title":"Expert Syst Appl"},{"key":"3124_CR16","doi-asserted-by":"publisher","first-page":"705","DOI":"10.1016\/j.compbiomed.2010.06.005","volume":"40","author":"CAM Lima","year":"2010","unstructured":"Lima CAM, Coelho ALV, Eisencraft M (2010) Tackling EEG signal classification with least squares support vector machines: a sensitivity analysis study. Comput Biol Med 40:705\u2013714","journal-title":"Comput Biol Med"},{"issue":"4","key":"3124_CR17","doi-asserted-by":"publisher","first-page":"1817","DOI":"10.1016\/j.eswa.2007.08.088","volume":"35","author":"S-W Lin","year":"2008","unstructured":"Lin S-W, Ying K-C, Chen S-C, Lee Z-J (2008) Particle swarm optimization for parameter determination and feature selection of support vector machines. Expert Syst Appl 35(4):1817\u20131824","journal-title":"Expert Syst Appl"},{"key":"3124_CR18","unstructured":"Mirjalili S, Mohd Hashim SZ (2011) BMOA: binary magnetic optimization algorithm. In: 3rd IEEE international conference on machine learning and computing, Singapore, vol 1, pp 201\u2013206"},{"key":"3124_CR19","doi-asserted-by":"crossref","unstructured":"Nakamura RYM, Pereira LAM, Costa KA, Rodrigues D, Papa JP, Yang X-S (2012) BBA: a binary bat algorithm for feature selection. In: Proceedings of the XXV SIBGRAPI\u2014conference on graphics, patterns and images, pp 291\u2013297","DOI":"10.1109\/SIBGRAPI.2012.47"},{"key":"3124_CR20","volume-title":"Distribution-free multiple comparisons","author":"P Nemenyi","year":"1963","unstructured":"Nemenyi P (1963) Distribution-free multiple comparisons. Princeton University, Princeton"},{"key":"3124_CR21","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1016\/j.neucom.2014.01.020","volume":"136","author":"TM Nunes","year":"2014","unstructured":"Nunes TM, Coelho ALV, Lima CAM, Papa JP, de Albuquerque VHC (2014) EEG signal classification for epilepsy diagnosis via optimum path forest\u2014a systematic assessment. Neurocomputing 136:103\u2013123","journal-title":"Neurocomputing"},{"key":"3124_CR22","doi-asserted-by":"publisher","first-page":"1858","DOI":"10.1016\/j.sigpro.2008.01.026","volume":"88","author":"H Ocak","year":"2008","unstructured":"Ocak H (2008) Optimal classification of epileptic seizures in EEG using wavelet analysis and genetic algorithm. Signal Process 88:1858\u20131867","journal-title":"Signal Process"},{"issue":"1","key":"3124_CR23","doi-asserted-by":"publisher","first-page":"512","DOI":"10.1016\/j.patcog.2011.07.013","volume":"45","author":"JP Papa","year":"2012","unstructured":"Papa JP, Falc\u00e3o AX, Albuquerque VHC, Tavares JMRS (2012) Efficient supervised optimum-path forest classification for large datasets. Pattern Recognit 45(1):512\u2013520","journal-title":"Pattern Recognit"},{"issue":"2","key":"3124_CR24","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1002\/ima.20188","volume":"19","author":"JP Papa","year":"2009","unstructured":"Papa JP, Falc\u00e3o AX, Suzuki CTN (2009) Supervised pattern classification based on optimum-path forest. Int J Imaging Syst Technol 19(2):120\u2013131","journal-title":"Int J Imaging Syst Technol"},{"issue":"5","key":"3124_CR25","doi-asserted-by":"publisher","first-page":"2250","DOI":"10.1016\/j.eswa.2013.09.023","volume":"41","author":"D Rodrigues","year":"2014","unstructured":"Rodrigues D, Pereira LAM, Nakamura RYM, C KAP, Yang X-S, Souza AN, Papa JP (2014) A wrapper approach for feature selection based on bat algorithm and optimum-path forest. Expert Syst Appl 41(5):2250\u20132258","journal-title":"Expert Syst Appl"},{"key":"3124_CR26","doi-asserted-by":"publisher","first-page":"701","DOI":"10.1016\/j.eswa.2004.12.027","volume":"28","author":"A Subasi","year":"2005","unstructured":"Subasi A (2005) Epileptic seizure detection using dynamic wavelet network. Expert Syst Appl 28:701\u2013711","journal-title":"Expert Syst Appl"},{"key":"3124_CR27","doi-asserted-by":"publisher","first-page":"1084","DOI":"10.1016\/j.eswa.2006.02.005","volume":"32","author":"A Subasi","year":"2007","unstructured":"Subasi A (2007) EEG signal classification using wavelet feature extraction and a mixture of expert model. Expert Syst Appl 32:1084\u20131093","journal-title":"Expert Syst Appl"},{"key":"3124_CR28","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/j.cmpb.2004.10.009","volume":"78","author":"A Subasi","year":"2005","unstructured":"Subasi A, Ercelebi E (2005) Classification of EEG signals using neural network and logistic regression. Comput Methods Programs Biomed 78:87\u201399","journal-title":"Comput Methods Programs Biomed"},{"key":"3124_CR29","doi-asserted-by":"publisher","DOI":"10.1142\/7324","volume-title":"Wavelet Theory Approach to Pattern Recognition","author":"YY Tang","year":"2009","unstructured":"Tang YY (2009) Wavelet Theory Approach to Pattern Recognition. World Scientific Publishing, Singapore"},{"key":"3124_CR30","doi-asserted-by":"crossref","unstructured":"Tayarani MH, Akbarzadeh-Totonchi MR (2008) Magnetic optimization algorithms a new synthesis. In: IEEE congress on evolutionary computation, IEEE, pp 2659\u20132664","DOI":"10.1109\/CEC.2008.4631155"},{"key":"3124_CR31","doi-asserted-by":"publisher","first-page":"80510-1","DOI":"10.1155\/2007\/80510","volume":"2007","author":"AT Tzallas","year":"2007","unstructured":"Tzallas AT, Tsipouras MG, Fotiadis DI (2007) Automatic seizure detection based on time-frequency analysis and artificial neural networks. Comput Intell Neurosci 2007:80510-1\u201380510-13","journal-title":"Comput Intell Neurosci"},{"key":"3124_CR32","doi-asserted-by":"publisher","first-page":"703","DOI":"10.1109\/TITB.2009.2017939","volume":"13","author":"AT Tzallas","year":"2009","unstructured":"Tzallas AT, Tsipouras MG, Fotiadis DI (2009) Epileptic seizure detection in EEGs using time-frequency analysis. IEEE Trans Inf Technol Biomed 13:703\u2013710","journal-title":"IEEE Trans Inf Technol Biomed"},{"key":"3124_CR33","doi-asserted-by":"publisher","first-page":"1954","DOI":"10.1016\/j.eswa.2007.02.006","volume":"34","author":"ED \u00dcbeyli","year":"2008","unstructured":"\u00dcbeyli ED (2008) Wavelet\/mixture of experts network structure for EEG signals classification. Expert Syst Appl 34:1954\u20131962","journal-title":"Expert Syst Appl"},{"key":"3124_CR34","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1016\/j.dsp.2008.07.004","volume":"19","author":"ED \u00dcbeyli","year":"2009","unstructured":"\u00dcbeyli ED (2009) Combined neural network model employing wavelet coefficients for EEG signals classification. Digit Signal Process 19:297\u2013308","journal-title":"Digit Signal Process"},{"key":"3124_CR35","doi-asserted-by":"publisher","first-page":"733","DOI":"10.1016\/j.compbiomed.2009.06.001","volume":"39","author":"ED \u00dcbeyli","year":"2009","unstructured":"\u00dcbeyli ED (2009) Statistics over features: EEG signals analysis. Comput Biol Med 39:733\u2013741","journal-title":"Comput Biol Med"},{"key":"3124_CR36","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-0001-7","volume-title":"An introduction to wavelet analysis","author":"DF Walnut","year":"2004","unstructured":"Walnut DF (2004) An introduction to wavelet analysis. Birkh\u00e4user, Basel"},{"key":"3124_CR37","volume-title":"The nonlinear workbook","author":"S Willi-Hans","year":"2011","unstructured":"Willi-Hans S (2011) The nonlinear workbook, 5th edn. World Scientific, Singapore","edition":"5"},{"key":"3124_CR38","doi-asserted-by":"crossref","unstructured":"Yang H, Du Q (2011) Particle swarm optimization-based dimensionality reduction for hyperspectral image classification. In: IEEE international geoscience and remote sensing symposium, pp 2357\u20132360","DOI":"10.1109\/IGARSS.2011.6049683"},{"key":"3124_CR39","doi-asserted-by":"publisher","first-page":"525","DOI":"10.1016\/j.patrec.2008.11.012","volume":"30","author":"SC Yusta","year":"2009","unstructured":"Yusta SC (2009) Different metaheuristic strategies to solve the feature selection problem. Pattern Recognit Lett 30:525\u2013534","journal-title":"Pattern Recognit Lett"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-017-3124-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-017-3124-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-017-3124-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,27]],"date-time":"2019-09-27T05:12:19Z","timestamp":1569561139000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-017-3124-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,6,28]]},"references-count":39,"journal-issue":{"issue":"S2","published-print":{"date-parts":[[2019,2]]}},"alternative-id":["3124"],"URL":"https:\/\/doi.org\/10.1007\/s00521-017-3124-3","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"type":"print","value":"0941-0643"},{"type":"electronic","value":"1433-3058"}],"subject":[],"published":{"date-parts":[[2017,6,28]]},"assertion":[{"value":"2 November 2016","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 June 2017","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 June 2017","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interest"}}]}}