{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T13:21:09Z","timestamp":1743081669234,"version":"3.40.3"},"publisher-location":"Cham","reference-count":35,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319317434"},{"type":"electronic","value":"9783319317441"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-31744-1_25","type":"book-chapter","created":{"date-parts":[[2016,3,24]],"date-time":"2016-03-24T06:24:58Z","timestamp":1458800698000},"page":"277-289","source":"Crossref","is-referenced-by-count":6,"title":["Assessing Parallel Heterogeneous Computer Architectures for Multiobjective Feature Selection on EEG Classification"],"prefix":"10.1007","author":[{"given":"Juan Jos\u00e9","family":"Escobar","sequence":"first","affiliation":[]},{"given":"Julio","family":"Ortega","sequence":"additional","affiliation":[]},{"given":"Jes\u00fas","family":"Gonz\u00e1lez","sequence":"additional","affiliation":[]},{"given":"Miguel","family":"Damas","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,3,25]]},"reference":[{"issue":"1","key":"25_CR1","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1109\/TEVC.2013.2290086","volume":"18","author":"A Mukhopadhyay","year":"2014","unstructured":"Mukhopadhyay, A., et al.: A survey of multiobjective evolutionary algorithms for data mining: part I. IEEE Trans. Evol. Comput. 18(1), 4\u201319 (2014)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"1","key":"25_CR2","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1109\/TEVC.2013.2290082","volume":"8","author":"A Mukhopadhyay","year":"2014","unstructured":"Mukhopadhyay, A., et al.: A survey of multiobjective evolutionary algorithms for data mining: part II. IEEE Trans. Evol. Comput. 8(1), 20\u201335 (2014)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"25_CR3","series-title":"The International Library of Ethics, Law and Technology","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1007\/978-94-017-8996-7_2","volume-title":"Brain-Computer Interfaces in Their Ethical, Social and Cultural Contexts","author":"R Rupp","year":"2014","unstructured":"Rupp, R., Kleih, S.C., Leeb, R., Mill\u00e1n, J.R., K\u00fcbler, A., M\u00fcller-Putz, G.R.: Brain-computer interfaces and assistive technology. In: Gr\u00fcbler, G., Hildt, E. (eds.) Brain-Computer Interfaces in Their Ethical, Social and Cultural Contexts. The International Library of Ethics, Law and Technology, vol. 12, pp. 7\u201338. Springer Science-Business Media, Dordrecht (2014). doi:\n                      10.1007\/978-94-017-8996-7_2"},{"key":"25_CR4","series-title":"Natural Computing Series","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-3-642-37959-8_1","volume-title":"Massively Parallel Evolutionary Computation on GPGPUs","author":"P Collet","year":"2013","unstructured":"Collet, P.: Why GPGPUs for evolutionary computation? In: Tsutsui, S., Collet, P. (eds.) Massively Parallel Evolutionary Computation on GPGPUs. Natural Computing Series, pp. 3\u201314. Springer, Heidelberg (2013)"},{"issue":"1","key":"25_CR5","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1177\/1094342015594519","volume":"31","author":"George Teodoro","year":"2016","unstructured":"Teodoro, G., Kurc, T., Andrade, G., Kong, J., Ferreira, R., Saltz, J.: Application performance analysis and efficient execution on systems with multi-core CPUs, GPUs, and MICs: a case study with microscopy image analysis. Intl. J. of High Perform. Comput. Appl. 1\u201320 (2015). doi:\n                      10.1177\/1094342015594519","journal-title":"The International Journal of High Performance Computing Applications"},{"key":"25_CR6","doi-asserted-by":"crossref","unstructured":"Greg, C.: Hazelwood K. Where is the data? Why you cannot debate CPU vs. GPU performances without the answer. In: IEEE International Symposium on Performance Analysis of Systems and Softwareernational(ISPASS), pp.134\u2013144 (2011)","DOI":"10.1109\/ISPASS.2011.5762730"},{"key":"25_CR7","doi-asserted-by":"publisher","DOI":"10.1515\/9781400874668","volume-title":"Adaptive Control Processes: A Guided Tour","author":"GA Bellman","year":"1961","unstructured":"Bellman, G.A.: Adaptive Control Processes: A Guided Tour. Princeton University Press, Princeton (1961)"},{"key":"25_CR8","series-title":"Studies in Computational Intelligence","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1007\/978-3-319-01692-4_3","volume-title":"Nature Inspired Cooperative Strategies for Optimization (NICSO 2013)","author":"M Marinaki","year":"2014","unstructured":"Marinaki, M., Marinakis, Y.: An Island memetic differential evolution algorithm for the feature selection problem. In: Terrazas, G., Otero, F.E., Masegosa, A.D. (eds.) NICSO 2013. SCI, vol. 512, pp. 33\u201347. Springer, Heidelberg (2014)"},{"key":"25_CR9","doi-asserted-by":"publisher","unstructured":"Emmanouilidis, C., Hunter, A., MacIntyre, J.: A multiobjective evolutionary setting for feature selection and a commonality-based crossover operator. In: Proceedings of the 2000 Congress on Evolutionary Computation, pp. 309\u2013316. IEEE Press, New York (2000). doi:\n                      10.1109\/CEC.2000.870311","DOI":"10.1109\/CEC.2000.870311"},{"issue":"3","key":"25_CR10","doi-asserted-by":"publisher","first-page":"217","DOI":"10.5019\/j.ijcir.2006.64","volume":"2","author":"J Handl","year":"2006","unstructured":"Handl, J., Knowles, J.: Feature subset selection in unsupervised learning via multiobjective optimization. Int. J. Comput. Intell. Res. 2(3), 217\u2013238 (2006). doi:\n                      10.5019\/j.ijcir.2006.64","journal-title":"Int. J. Comput. Intell. Res."},{"issue":"6","key":"25_CR11","doi-asserted-by":"publisher","first-page":"903","DOI":"10.1142\/S021800140300271X","volume":"17","author":"LS Oliveira","year":"2003","unstructured":"Oliveira, L.S., Sabourin, R., Bortolozzi, F., Suen, C.Y.: A methodology for feature selection using multiobjective genetic algorithms for handwritten digit string recognition. Int. J. Pattern Recognit. Artif. Intell. 17(6), 903\u2013929 (2003). doi:\n                      10.1142\/S021800140300271X","journal-title":"Int. J. Pattern Recognit. Artif. Intell."},{"issue":"6","key":"25_CR12","doi-asserted-by":"publisher","first-page":"531","DOI":"10.1145\/347090.347169","volume":"6","author":"Y Kim","year":"2002","unstructured":"Kim, Y., Street, W.N., Menczer, F.: Evolutionary model selection in unsupervised learning. Intell. Data Anal. 6(6), 531\u2013556 (2002). doi:\n                      10.1145\/347090.347169","journal-title":"Intell. Data Anal."},{"key":"25_CR13","doi-asserted-by":"publisher","unstructured":"Morita, M., Sabourin, R., Bortolozzi, F., Suen, C.Y.: Unsupervised feature selection using multi-objective genetic algorithms for handwritten word recognition. In: Proceedings of the 7th International Conference on Document Analysis and Recognition, 666\u2013670. IEEE Press, New York (2003). doi:\n                      10.1109\/ICDAR.2003.1227746","DOI":"10.1109\/ICDAR.2003.1227746"},{"key":"25_CR14","doi-asserted-by":"publisher","unstructured":"Mierswa, I., Wurst, M.: Information preserving multi-objective feature selection for unsupervised learning. In: Proceedings of the 8th Annual Conference on Genetic and Evolutionary Computation, GECCO 2006, pp. 1545\u20131552. ACM, New York (2006). doi:\n                      10.1145\/1143997.1144248","DOI":"10.1145\/1143997.1144248"},{"issue":"3","key":"25_CR15","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1007\/s00453-006-1220-3","volume":"45","author":"T Souza de","year":"2006","unstructured":"de Souza, T., Matwin, J., Japkowitz, N.: Parallelizing feature selection. Algorithmica 45(3), 433\u2013456 (2006). doi:\n                      10.1007\/s00453-006-1220-3","journal-title":"Algorithmica"},{"issue":"1","key":"25_CR16","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1007\/s10994-013-5373-4","volume":"92","author":"Z Zao","year":"2013","unstructured":"Zao, Z., Zhang, R., Cox, J., Duling, D., Sarle, W.: Massively parallel feature selection: an approach based on variance preservation. Mach. Learn. 92(1), 195\u2013220 (2013). doi:\n                      10.1007\/s10994-013-5373-4","journal-title":"Mach. Learn."},{"issue":"9","key":"25_CR17","doi-asserted-by":"publisher","first-page":"4239","DOI":"10.1016\/j.eswa.2015.01.061","volume":"42","author":"D Kimovski","year":"2015","unstructured":"Kimovski, D., Ortega, J., Ortiz, A., Ba\u00f1os, R.: Parallel alternatives for evolutionary multi-objective optimization in unsupervised feature selection. Expert Syst. Appl. 42(9), 4239\u20134252 (2015). doi:\n                      10.1016\/j.eswa.2015.01.061","journal-title":"Expert Syst. Appl."},{"key":"25_CR18","doi-asserted-by":"publisher","first-page":"5476","DOI":"10.1002\/cpe.3594","volume":"27","author":"D Kimovski","year":"2015","unstructured":"Kimovski, D., Ortega, J., Ortiz, A., Ba\u00f1os, R.: Leveraging cooperation for parallel multi-objective feature selection in high-dimensional EEG data. Concurrency: Pract. Experience 27, 5476\u20135499 (2015)","journal-title":"Concurrency: Pract. Experience"},{"issue":"1","key":"25_CR19","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1016\/j.patcog.2012.07.021","volume":"46","author":"O Arbelaitz","year":"2013","unstructured":"Arbelaitz, O., Gurrutxaga, I., Muguerza, J., P\u00e9rez, J.M., Perona, I.: An externsive comparative study of cluster validity indices. Pattern Recogn. 46(1), 243\u2013256 (2013)","journal-title":"Pattern Recogn."},{"key":"25_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"849","DOI":"10.1007\/3-540-45356-3_83","volume-title":"Parallel Problem Solving from Nature-PPSN VI","author":"K Deb","year":"2000","unstructured":"Deb, K., Agrawal, S., Pratab, A., Meyarivan, T.: A fast elitist Non-dominated sorting genetic algorithms for multi-objective optimisation: NSGA-II. In: Deb, K., Rudolph, G., Lutton, E., Merelo, J.J., Schoenauer, M., Schwefel, H.-P., Yao, X. (eds.) PPSN 2000. LNCS, vol. 1917, pp. 849\u2013858. Springer, Heidelberg (2000)"},{"key":"25_CR21","unstructured":"OpenCL registry. \n                      www.khronos.org\/registry\/cl\/"},{"key":"25_CR22","first-page":"768","volume":"21","author":"E Forgy","year":"1965","unstructured":"Forgy, E.: Cluster analysis of multivariate data: efficiency vs interpretability of classification. Biometrics 21, 768 (1965)","journal-title":"Biometrics"},{"key":"25_CR23","unstructured":"Fonseca, C.M., L\u00f3pez-Ib\u00e1\u00f1ez, M., Paquete, L., Guerreiro, A.P.: Computation of the Hypervolume indicator (2014). \n                      http:\/\/iridia.ulb.ac.be\/~manuel\/hypervolume"},{"key":"25_CR24","doi-asserted-by":"crossref","unstructured":"Luong, T.V., Melab, N., Talbi, E.-G.: GPU-based island model for evolutionary algorithms. In: GECCO 2010 Proceedings of the 12th Annual Conference on Genetic and Evolutionary Computation, pp. 1089\u20131096 (2010)","DOI":"10.1145\/1830483.1830685"},{"key":"25_CR25","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1111\/j.1475-3995.2012.00862.x","volume":"20","author":"E Alba","year":"2013","unstructured":"Alba, E., Luque, G., Nesmachnow, S.: Parrallel Metaheuristics: recent advances and new trends. Intl. Trans. Op. Res. 20, 1\u201348 (2013)","journal-title":"Intl. Trans. Op. Res."},{"key":"25_CR26","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"442","DOI":"10.1007\/978-3-642-12239-2_46","volume-title":"Applications of Evolutionary Computation","author":"P Pospichal","year":"2010","unstructured":"Pospichal, P., Jaros, J., Schwarz, J.: Parallel genetic algorithm on the CUDA architecture. In: Di Chio, C., Cagnoni, S., Cotta, C., Ebner, M., Ek\u00e1rt, A., Esparcia-Alcazar, A.I., Goh, C.-K., Merelo, J.J., Neri, F., Preu\u00df, M., Togelius, J., Yannakakis, G.N. (eds.) EvoApplicatons 2010, Part I. LNCS, vol. 6024, pp. 442\u2013451. Springer, Heidelberg (2010)"},{"key":"25_CR27","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1007\/978-3-642-37959-8_13","volume-title":"Massively Parallel Evolutionary Computation on GPGPUs","author":"D Sharma","year":"2013","unstructured":"Sharma, D., Collet, P.: Implementation techniques for massively parallel Multi-objective optimization. In: Tsutsui, S., Collet, P. (eds.) Massively Parallel Evolutionary Computation on GPGPUs, pp. 267\u2013286. Springer, Heidelberg (2013)"},{"key":"25_CR28","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1007\/978-3-642-37959-8_14","volume-title":"Massively Parallel Evolutionary Computation on GPGPUs","author":"ML Wong","year":"2013","unstructured":"Wong, M.L., Cui, G.: Data mining using parallel multi-objective evolutionary algorithms on graphics processing units. In: Tsutsui, S., Collet, P. (eds.) Massively Parallel Evolutionary Computation on GPGPUs, pp. 287\u2013307. Springer, Heidelberg (2013)"},{"issue":"6","key":"25_CR29","first-page":"1911","volume":"3","author":"PP Baramkar","year":"2014","unstructured":"Baramkar, P.P., Kulkarni, D.B.: Review for K-means on graphics processing units (GPU). Intl. J. Research & Technology (IJERT) 3(6), 1911\u20131914 (2014)","journal-title":"Intl. J. Research & Technology (IJERT)"},{"key":"25_CR30","doi-asserted-by":"crossref","unstructured":"Kijsipongse, E., U-ruekolan, S.: Dynamic load balancing on GPU clusters for large-scale K-means clustering. In: Proceedings of Ninth International Joint Conference on Computer Science and Software Engineering (JCSSE), pp. 346\u2013350 (2012)","DOI":"10.1109\/JCSSE.2012.6261977"},{"key":"25_CR31","unstructured":"Farivar, R., Rebolledo, D., Chan, E., Campbell, R.: A Parallel implementation of K-means clustering on GPUs. In: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA), 14\u201317 July 2008"},{"key":"25_CR32","doi-asserted-by":"publisher","unstructured":"Wu, R., Zhang, B., Hsu, M.: Clustering billions of data points using GPUs. In: Proceedings of UCHPC-MAW 2009 (2009). doi:\n                      10.1145\/1531666.1531668","DOI":"10.1145\/1531666.1531668"},{"key":"25_CR33","doi-asserted-by":"crossref","unstructured":"Zechner, M., Granitzer, M.: Accelerating K-Means on the Graphics Processor via CUDA. In: Proceedings of First International Conference on Intensive Applications and Services, pp. 7\u201315 (2009)","DOI":"10.1109\/INTENSIVE.2009.19"},{"key":"25_CR34","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"729","DOI":"10.1007\/978-3-642-35380-2_85","volume-title":"Swarm, Evolutionary, and Memetic Computing","author":"P Fazendeiro","year":"2012","unstructured":"Fazendeiro, P., Padole, C., Sequeira, P., Prata, P.: OpenCL implementations of a genetic algorithm for feature selection in periocular biometric recognition. In: Panigrahi, B.K., Das, S., Suganthan, P.N., Nanda, P.K. (eds.) SEMCCO 2012. LNCS, vol. 7677, pp. 729\u2013737. Springer, Heidelberg (2012)"},{"issue":"4","key":"25_CR35","doi-asserted-by":"publisher","first-page":"046014","DOI":"10.1088\/1741-2560\/10\/4\/046014","volume":"10","author":"J Asensio-Cubero","year":"2013","unstructured":"Asensio-Cubero, J., Gan, J.Q., Palaniappan, R.: Multiresolution analysis over simple graphs for brain computer interfaces. J. Neural Eng. 10(4), 046014 (2013). doi:\n                      10.1088\/1741-2560\/10\/4\/046014","journal-title":"J. Neural Eng."}],"container-title":["Lecture Notes in Computer Science","Bioinformatics and Biomedical Engineering"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-31744-1_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T18:44:54Z","timestamp":1559414694000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-31744-1_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319317434","9783319317441"],"references-count":35,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-31744-1_25","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}