{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T00:08:01Z","timestamp":1782432481829,"version":"3.54.5"},"publisher-location":"Cham","reference-count":34,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319926384","type":"print"},{"value":"9783319926391","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","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":[[2018]]},"DOI":"10.1007\/978-3-319-92639-1_20","type":"book-chapter","created":{"date-parts":[[2018,6,7]],"date-time":"2018-06-07T10:31:25Z","timestamp":1528367485000},"page":"235-247","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Evaluating Feature Selection Robustness on High-Dimensional Data"],"prefix":"10.1007","author":[{"given":"Barbara","family":"Pes","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2018,6,8]]},"reference":[{"key":"20_CR1","first-page":"1157","volume":"3","author":"I Guyon","year":"2003","unstructured":"Guyon, I., Elisseeff, A.: An introduction to variable and feature selection. J. Mach. Learn. Res. 3, 1157\u20131182 (2003)","journal-title":"J. Mach. Learn. Res."},{"issue":"19","key":"20_CR2","doi-asserted-by":"publisher","first-page":"2507","DOI":"10.1093\/bioinformatics\/btm344","volume":"23","author":"Y Saeys","year":"2007","unstructured":"Saeys, Y., Inza, I., Larranaga, P.: A review of feature selection techniques in bioinformatics. Bioinformatics 23(19), 2507\u20132517 (2007)","journal-title":"Bioinformatics"},{"key":"20_CR3","first-page":"1289","volume":"3","author":"G Forman","year":"2003","unstructured":"Forman, G.: An extensive empirical study of feature selection metrics for text classification. J. Mach. Learn. Res. 3, 1289\u20131305 (2003)","journal-title":"J. Mach. Learn. Res."},{"issue":"5","key":"20_CR4","doi-asserted-by":"publisher","first-page":"5947","DOI":"10.1016\/j.eswa.2010.11.028","volume":"38","author":"V Bol\u00f3n-Canedo","year":"2011","unstructured":"Bol\u00f3n-Canedo, V., S\u00e1nchez-Maro\u00f1o, N., Alonso-Betanzos, A.: Feature selection and classification in multiple class datasets: an application to kdd cup 99 dataset. Expert Syst. Appl. 38(5), 5947\u20135957 (2011)","journal-title":"Expert Syst. Appl."},{"key":"20_CR5","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1007\/978-3-642-31537-4_37","volume-title":"Machine Learning and Data Mining in Pattern Recognition","author":"Tomasz Staroszczyk","year":"2012","unstructured":"Staroszczyk, T., Osowski, S., Markiewicz, T.: Comparative analysis of feature selection methods for blood cell recognition in leukemia. In: Proceedings of the 8th International Conference on Machine Learning and Data Mining in Pattern Recognition, pp. 467\u2013481 (2012)"},{"key":"20_CR6","first-page":"37","volume-title":"Data Classification: Algorithms and Applications","author":"J Tang","year":"2014","unstructured":"Tang, J., Alelyani, S., Liu, H.: Feature selection for classification: a review. In: Aggarwal, C.C. (ed.) Data Classification: Algorithms and Applications, pp. 37\u201364. CRC Press, Boca Raton (2014)"},{"issue":"3","key":"20_CR7","doi-asserted-by":"publisher","first-page":"483","DOI":"10.1007\/s10115-012-0487-8","volume":"34","author":"V Bol\u00f3n-Canedo","year":"2013","unstructured":"Bol\u00f3n-Canedo, V., S\u00e1nchez-Maro\u00f1o, N., Alonso-Betanzos, A.: A review of feature selection methods on synthetic data. Knowl. Inf. Syst. 34(3), 483\u2013519 (2013)","journal-title":"Knowl. Inf. Syst."},{"key":"20_CR8","doi-asserted-by":"crossref","unstructured":"Bol\u00f3n-Canedo, V., Rego-Fern\u00e1ndez, D., Peteiro-Barral, D., Alonso-Betanzos, A., Guijarro-Berdi\u00f1as, B., S\u00e1nchez-Maro\u00f1o, N.: On the scalability of feature selection methods on high-dimensional data. Knowl. Inf. Syst. 1\u201348 (2018). https:\/\/link.springer.com\/article\/10.1007\/s10115-017-1140-3","DOI":"10.1007\/s10115-017-1140-3"},{"issue":"2","key":"20_CR9","doi-asserted-by":"publisher","first-page":"656","DOI":"10.1016\/j.ejor.2017.02.037","volume":"261","author":"S Maldonado","year":"2017","unstructured":"Maldonado, S., P\u00e9rez, J., Bravo, C.: Cost-based feature selection for support vector machines: an application in credit scoring. Eur. J. Oper. Res. 261(2), 656\u2013665 (2017)","journal-title":"Eur. J. Oper. Res."},{"issue":"1","key":"20_CR10","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1007\/s10115-006-0040-8","volume":"12","author":"A Kalousis","year":"2007","unstructured":"Kalousis, A., Prados, J., Hilario, M.: Stability of feature selection algorithms: a study on high-dimensional spaces. Knowl. Inf. Syst. 12(1), 95\u2013116 (2007)","journal-title":"Knowl. Inf. Syst."},{"key":"20_CR11","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1007\/978-3-540-87481-2_21","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"Y Saeys","year":"2008","unstructured":"Saeys, Y., Abeel, T., Van de Peer, Y.: Robust feature selection using ensemble feature selection techniques. In: Daelemans, W., Goethals, B., Morik, K. (eds.) ECML PKDD 2008, Part II. LNCS (LNAI), vol. 5212, pp. 313\u2013325. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-87481-2_21"},{"key":"20_CR12","doi-asserted-by":"crossref","unstructured":"Pes, B.: Feature selection for high-dimensional data: the issue of stability. In: 26th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2017, pp. 170\u2013175 (2017)","DOI":"10.1109\/WETICE.2017.28"},{"key":"20_CR13","doi-asserted-by":"crossref","unstructured":"Alelyani, S., Zhao, Z., Liu, H.: A dilemma in assessing stability of feature selection algorithms. In: IEEE 13th International Conference on High Performance Computing and Communications, pp. 701\u2013707 (2011)","DOI":"10.1109\/HPCC.2011.99"},{"issue":"3","key":"20_CR14","doi-asserted-by":"publisher","first-page":"392","DOI":"10.1093\/bioinformatics\/btp630","volume":"26","author":"T Abeel","year":"2010","unstructured":"Abeel, T., Helleputte, T., Van de Peer, Y., Dupont, P., Saeys, Y.: Robust biomarker identification for cancer diagnosis with ensemble feature selection methods. Bioinformatics 26(3), 392\u2013398 (2010)","journal-title":"Bioinformatics"},{"key":"20_CR15","first-page":"1","volume-title":"Multiple Classifier Systems","author":"Thomas G. Dietterich","year":"2000","unstructured":"Dietterich, T.: Ensemble methods in machine learning. In: Proceedings of the 1st International Workshop on Multiple Classifier Systems, pp. 1\u201315 (2000)"},{"key":"20_CR16","doi-asserted-by":"crossref","unstructured":"Kuncheva, L.I., Smith, C.J., Syed, Y., Phillips, C.O., Lewis, K.E.: Evaluation of feature ranking ensembles for high-dimensional biomedical data: a case study. In: IEEE 12th International Conference on Data Mining Workshops, pp. 49\u201356. IEEE (2012)","DOI":"10.1109\/ICDMW.2012.12"},{"issue":"12","key":"20_CR17","doi-asserted-by":"publisher","first-page":"e28210","DOI":"10.1371\/journal.pone.0028210","volume":"6","author":"AC Haury","year":"2011","unstructured":"Haury, A.C., Gestraud, P., Vert, J.P.: The influence of feature selection methods on accuracy, stability and interpretability of molecular signatures. PLoS ONE 6(12), e28210 (2011)","journal-title":"PLoS ONE"},{"key":"20_CR18","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1016\/j.compbiolchem.2010.07.002","volume":"34","author":"H Zengyou","year":"2010","unstructured":"Zengyou, H., Weichuan, Y.: Stable feature selection for biomarker discovery. Comput. Biol. Chem. 34, 215\u2013225 (2010)","journal-title":"Comput. Biol. Chem."},{"key":"20_CR19","doi-asserted-by":"crossref","unstructured":"Awada, W., Khoshgoftaar, T.M., Dittman, D., Wald, R., Napolitano, A.: A review of the stability of feature selection techniques for bioinformatics data. In: IEEE 13th International Conference on Information Reuse and Integration, pp. 356\u2013363. IEEE (2012)","DOI":"10.1109\/IRI.2012.6303031"},{"key":"20_CR20","doi-asserted-by":"crossref","unstructured":"Wang, H., Khoshgoftaar, T.M., Wald, R., Napolitano, A.: A novel dataset-similarity-aware approach for evaluating stability of software metric selection techniques. In: Proceedings of the IEEE International Conference on Information Reuse and Integration, pp. 1\u20138 (2012)","DOI":"10.1109\/IRI.2012.6302983"},{"key":"20_CR21","unstructured":"Kuncheva, L.I.: A stability index for feature selection. In: 25th IASTED International Multi-Conference: Artificial Intelligence and Applications, pp. 390\u2013395. ACTA Press Anaheim (2007)"},{"issue":"11","key":"20_CR22","doi-asserted-by":"publisher","first-page":"1921","DOI":"10.1109\/TPAMI.2010.34","volume":"32","author":"P Somol","year":"2010","unstructured":"Somol, P., Novovicova, J.: Evaluating stability and comparing output of feature selectors that optimize feature subset cardinality. IEEE Trans. Pattern Anal. Mach. Intell. 32(11), 1921\u20131939 (2010)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"20_CR23","doi-asserted-by":"crossref","unstructured":"Dess\u00ec, N., Pascariello, E., Pes, B.: A comparative analysis of biomarker selection techniques. BioMed. Res. Int. 2013, Article ID 387673 (2013)","DOI":"10.1155\/2013\/387673"},{"key":"20_CR24","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.compbiomed.2015.08.010","volume":"66","author":"P Drot\u00e1r","year":"2015","unstructured":"Drot\u00e1r, P., Gazda, J., Sm\u00e9kal, Z.: An experimental comparison of feature selection methods on two-class biomedical datasets. Comput. Biol. Med. 66, 1\u201310 (2015)","journal-title":"Comput. Biol. Med."},{"key":"20_CR25","doi-asserted-by":"publisher","first-page":"1467","DOI":"10.1142\/S0218194015400288","volume":"25","author":"H Wang","year":"2015","unstructured":"Wang, H., Khoshgoftaar, T.M., Seliya, N.: On the stability of feature selection methods in software quality prediction: an empirical investigation. Int. J. Soft. Eng. Knowl. Eng. 25, 1467\u20131490 (2015)","journal-title":"Int. J. Soft. Eng. Knowl. Eng."},{"key":"20_CR26","doi-asserted-by":"crossref","unstructured":"Wald, R., Khoshgoftaar, T.M., Dittman, D.: Mean aggregation versus robust rank aggregation for ensemble gene selection. In: 11th International Conference on Machine Learning and Applications, pp. 63\u201369 (2012)","DOI":"10.1109\/ICMLA.2012.20"},{"issue":"12","key":"20_CR27","doi-asserted-by":"publisher","first-page":"1446","DOI":"10.1016\/j.patrec.2013.05.011","volume":"34","author":"LM Cannas","year":"2013","unstructured":"Cannas, L.M., Dess\u00ec, N., Pes, B.: Assessing similarity of feature selection techniques in high-dimensional domains. Pattern Recogn. Lett. 34(12), 1446\u20131453 (2013)","journal-title":"Pattern Recogn. Lett."},{"issue":"10","key":"20_CR28","doi-asserted-by":"publisher","first-page":"4632","DOI":"10.1016\/j.eswa.2015.01.069","volume":"42","author":"N Dess\u00ec","year":"2015","unstructured":"Dess\u00ec, N., Pes, B.: Similarity of feature selection methods: an empirical study across data intensive classification tasks. Expert Syst. Appl. 42(10), 4632\u20134642 (2015)","journal-title":"Expert Syst. Appl."},{"issue":"9","key":"20_CR29","doi-asserted-by":"publisher","first-page":"2051","DOI":"10.1109\/TMI.2016.2547947","volume":"35","author":"P Mesejo","year":"2016","unstructured":"Mesejo, P., Pizarro, D., Abergel, A., Rouquette, O., et al.: Computer-aided classification of gastrointestinal lesions in regular colonoscopy. IEEE Trans. Med. Imaging 35(9), 2051\u20132063 (2016)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"20_CR30","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1109\/TNSRE.2013.2293575","volume":"22","author":"A Tsanas","year":"2014","unstructured":"Tsanas, A., Little, M.A., Fox, C., Ramig, L.O.: Objective automatic assessment of rehabilitative speech treatment in Parkinson\u2019s disease. IEEE Trans. Neural Syst. Rehabil. Eng. 22, 181\u2013190 (2014)","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"issue":"1","key":"20_CR31","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1038\/nm0102-68","volume":"8","author":"MA Shipp","year":"2002","unstructured":"Shipp, M.A., Ross, K.N., Tamayo, P., Weng, A.P., et al.: Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning. Nat. Med. 8(1), 68\u201374 (2002)","journal-title":"Nat. Med."},{"key":"20_CR32","doi-asserted-by":"publisher","first-page":"572","DOI":"10.1016\/S0140-6736(02)07746-2","volume":"359","author":"EF Petricoin","year":"2002","unstructured":"Petricoin, E.F., Ardekani, A.M., Hitt, B.A., Levine, P.J., et al.: Use of proteomic patterns in serum to identify ovarian cancer. Lancet 359, 572\u2013577 (2002)","journal-title":"Lancet"},{"key":"20_CR33","unstructured":"Guyon, I., Gunn, S.R., Ben-Hur, A., Dror, G.: Result analysis of the NIPS 2003 feature selection challenge. In: Advances in Neural Information Processing Systems, vol. 17, pp. 545\u2013552. MIT Press (2004)"},{"key":"20_CR34","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1016\/j.inffus.2015.06.005","volume":"27","author":"L Rokach","year":"2016","unstructured":"Rokach, L.: Decision forest: twenty years of research. Inf. Fusion 27, 111\u2013125 (2016)","journal-title":"Inf. Fusion"}],"container-title":["Lecture Notes in Computer Science","Hybrid Artificial Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-92639-1_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T14:51:03Z","timestamp":1710341463000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-92639-1_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319926384","9783319926391"],"references-count":34,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-92639-1_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"8 June 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HAIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Hybrid Artificial Intelligence Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Oviedo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 June 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 June 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hais2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/hais2018.uniovi.es\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}