{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T12:07:28Z","timestamp":1743077248302,"version":"3.40.3"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030044909"},{"type":"electronic","value":"9783030044916"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/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\/978-3-030-04491-6_15","type":"book-chapter","created":{"date-parts":[[2019,1,2]],"date-time":"2019-01-02T10:12:26Z","timestamp":1546423946000},"page":"195-204","update-policy":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Feature Selection for Automatic Classification of Gamma-Ray and Background Hadron Events with Different Noise Levels"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/2.zoppoz.workers.dev:443\/https\/orcid.org\/0000-0002-4065-1401","authenticated-orcid":false,"given":"Andrea","family":"Burgos-Madrigal","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/2.zoppoz.workers.dev:443\/https\/orcid.org\/0000-0003-1505-3108","authenticated-orcid":false,"given":"Ariel Esa\u00fa","family":"Ortiz-Esquivel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Raquel","family":"D\u00edaz-Hern\u00e1ndez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leopoldo","family":"Altamirano-Robles","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,1,3]]},"reference":[{"key":"15_CR1","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1016\/j.astropartphys.2013.08.002","volume":"50","author":"A Abeysekara","year":"2013","unstructured":"Abeysekara, A., et al.: Sensitivity of the high altitude water Cherenkov detector to sources of multi-TeV gamma rays. Astropart. Phys. 50, 26\u201332 (2013)","journal-title":"Astropart. Phys."},{"issue":"2","key":"15_CR2","doi-asserted-by":"publisher","first-page":"803","DOI":"10.1086\/377498","volume":"595","author":"R Atkins","year":"2003","unstructured":"Atkins, R., et al.: Observation of TeV gamma rays from the Crab nebula with MILAGRO using a new background rejection technique. Astrophys. J. 595(2), 803 (2003)","journal-title":"Astrophys. J."},{"issue":"4","key":"15_CR3","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1016\/S0927-6505(97)00024-8","volume":"7","author":"H Badran","year":"1997","unstructured":"Badran, H., Weekes, T.: Improvement of gamma-hadron discrimination at TeV energies using a new parameter, image surface brightness. Astropart. Phys. 7(4), 307\u2013314 (1997)","journal-title":"Astropart. Phys."},{"issue":"3","key":"15_CR4","doi-asserted-by":"publisher","first-page":"1219","DOI":"10.1051\/0004-6361:20066674","volume":"466","author":"D Berge","year":"2007","unstructured":"Berge, D., Funk, S., Hinton, J.: Background modelling in very-high-energy $$\\gamma $$-ray astronomy. Astron. Astrophys. 466(3), 1219\u20131229 (2007)","journal-title":"Astron. Astrophys."},{"key":"15_CR5","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1016\/j.astropartphys.2012.10.002","volume":"43","author":"K Bernl\u00f6hr","year":"2013","unstructured":"Bernl\u00f6hr, K., et al.: Monte Carlo design studies for the Cherenkov telescope array. Astropart. Phys. 43, 171\u2013188 (2013)","journal-title":"Astropart. Phys."},{"key":"15_CR6","doi-asserted-by":"crossref","unstructured":"Bourbeau, E., Capistr\u00e1n, T., Torres, I., Moreno, E.: New gamma\/hadron separation parameters for a neural network for HAWC. arXiv preprint arXiv:1708.03585 (2017)","DOI":"10.1117\/12.2232041"},{"issue":"1\u20132","key":"15_CR7","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/S0168-9002(97)00048-X","volume":"389","author":"R Brun","year":"1997","unstructured":"Brun, R., Rademakers, F.: Root\u2014an object oriented data analysis framework. Nucl. Instrum. Methods Phys. Res. Sect. A: Accel. Spectrometers Detect. Assoc. Equip. 389(1\u20132), 81\u201386 (1997)","journal-title":"Nucl. Instrum. Methods Phys. Res. Sect. A: Accel. Spectrometers Detect. Assoc. Equip."},{"key":"15_CR8","unstructured":"Grabski, V., Chilingarian, A., Nellen, L.: Gamma\/hadron separation study for the HAWC detector on the basis of the multidimensional feature space using non parametric approach (2011)"},{"key":"15_CR9","unstructured":"Hampel-Arias, Z., et al.: Gamma hadron separation using pairwise compactness method with HAWC. arXiv preprint arXiv:1508.04047 (2015)"},{"key":"15_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.astropartphys.2017.01.004","volume":"89","author":"M Krause","year":"2017","unstructured":"Krause, M., Pueschel, E., Maier, G.: Improved $$\\gamma $$\/hadron separation for the detection of faint $$\\gamma $$-ray sources using boosted decision trees. Astropart. Phys. 89, 1\u20139 (2017)","journal-title":"Astropart. Phys."},{"key":"15_CR11","doi-asserted-by":"publisher","first-page":"206","DOI":"10.1086\/172269","volume":"404","author":"P Reynolds","year":"1993","unstructured":"Reynolds, P., et al.: Survey of candidate gamma-ray sources at TeV energies using a high-resolution cerenkov imaging system-1988-1991. Astrophys. J. 404, 206\u2013218 (1993)","journal-title":"Astrophys. J."},{"issue":"1\u20132","key":"15_CR12","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1023\/A:1025667309714","volume":"53","author":"M Robnik-\u0160ikonja","year":"2003","unstructured":"Robnik-\u0160ikonja, M., Kononenko, I.: Theoretical and empirical analysis of ReliefF and RReliefF. Mach. Learn. 53(1\u20132), 23\u201369 (2003)","journal-title":"Mach. Learn."},{"issue":"2","key":"15_CR13","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1016\/0927-6505(95)00028-4","volume":"4","author":"S Westerhoff","year":"1995","unstructured":"Westerhoff, S., et al.: Separating $$\\gamma $$-and hadron-induced cosmic ray air showers with feed-forward neural networks using the charged particle information. Astropart. Phys. 4(2), 119\u2013132 (1995)","journal-title":"Astropart. Phys."}],"container-title":["Lecture Notes in Computer Science","Advances in Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-04491-6_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T17:43:11Z","timestamp":1709833391000},"score":1,"resource":{"primary":{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/link.springer.com\/10.1007\/978-3-030-04491-6_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030044909","9783030044916"],"references-count":13,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1007\/978-3-030-04491-6_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"3 January 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MICAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Mexican International Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guadalajara","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Mexico","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":"22 October 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 October 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"micai2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2.zoppoz.workers.dev:443\/http\/www.micai.org\/2018\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}