{"id":"https://openalex.org/W2113346895","doi":"https://doi.org/10.1109/igarss.2007.4423818","title":"A multiobjective PSO inflation methodology for SVM regression with limited training samples","display_name":"A multiobjective PSO inflation methodology for SVM regression with limited training samples","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2113346895","doi":"https://doi.org/10.1109/igarss.2007.4423818","mag":"2113346895"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2007.4423818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2007.4423818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054237841","display_name":"Yakoub Bazi","orcid":"https://orcid.org/0000-0001-9287-0596"},"institutions":[{"id":"https://openalex.org/I199702508","display_name":"Al Jouf University","ror":"https://ror.org/02zsyt821","country_code":"SA","type":"education","lineage":["https://openalex.org/I199702508"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Yakoub Bazi","raw_affiliation_strings":["College of Engineering, Al Jouf University, Al Jouf, Saudi Arabia","Al Jouf Univ., Al Jouf"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Al Jouf University, Al Jouf, Saudi Arabia","institution_ids":["https://openalex.org/I199702508"]},{"raw_affiliation_string":"Al Jouf Univ., Al Jouf","institution_ids":["https://openalex.org/I199702508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105309480","display_name":"Farid Melgani","orcid":null},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Farid Melgani","raw_affiliation_strings":["Department of Information and Communication Technologies, University of Trento, Trento, Italy","Dept. of Information and Communication Technologies, Univ. of Trento, Via Sommarive, 14, I-38050, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Technologies, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]},{"raw_affiliation_string":"Dept. of Information and Communication Technologies, Univ. of Trento, Via Sommarive, 14, I-38050, Italy","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054237841"],"corresponding_institution_ids":["https://openalex.org/I199702508"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14082093,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4360","last_page":"4363"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7820910215377808},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7660081386566162},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6209745407104492},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6115353107452393},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5832170248031616},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4422212839126587},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4380887746810913},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.420412540435791},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.412895143032074},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31556767225265503},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24071478843688965},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2096262276172638}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7820910215377808},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7660081386566162},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6209745407104492},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6115353107452393},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5832170248031616},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4422212839126587},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4380887746810913},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.420412540435791},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.412895143032074},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31556767225265503},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24071478843688965},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2096262276172638},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss.2007.4423818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2007.4423818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unitn.it:11572/75168","is_oa":false,"landing_page_url":"http://hdl.handle.net/11572/75168","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1595498733","https://openalex.org/W2115408897","https://openalex.org/W2156418736","https://openalex.org/W7058687069"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W4388409104","https://openalex.org/W2124951708","https://openalex.org/W1544811710","https://openalex.org/W172072032","https://openalex.org/W2006066416","https://openalex.org/W3157073418","https://openalex.org/W2058127401","https://openalex.org/W2039041387"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,39],"novel":[6],"multiobjective":[7],"particle":[8],"swarm":[9],"optimization":[10],"(MOPSO)":[11],"approach":[12],"for":[13],"SVM":[14,88],"regression":[15],"with":[16],"limited":[17],"training":[18],"samples.":[19],"This":[20],"approach,":[21],"which":[22,108],"is":[23,35,75],"applied":[24],"to":[25,61],"the":[26,44,54,64,67,83,87,91,96,110,114],"estimation":[27,68],"of":[28,38,66,72,86,113],"biophysical":[29],"parameters":[30],"from":[31,53],"remote":[32],"sensing":[33],"images,":[34],"an":[36],"extension":[37],"work":[40],"recently":[41],"presented":[42],"in":[43,117],"literature.":[45],"It":[46],"aims":[47],"at":[48,58],"exploiting":[49],"unlabeled":[50],"samples":[51,74],"available":[52],"image":[55],"under":[56],"analysis":[57],"zero":[59],"cost":[60],"increase":[62],"further":[63],"accuracy":[65],"process.":[69],"The":[70],"integration":[71],"such":[73],"made":[76],"by":[77],"optimizing":[78],"simultaneously":[79],"two":[80],"criteria":[81],"expressing":[82],"generalization":[84],"capability":[85],"estimator,":[89],"namely,":[90],"support":[92],"vector":[93],"count":[94],"and":[95,104,122],"empirical":[97],"risk.":[98],"Experimental":[99],"results":[100],"obtained":[101],"on":[102],"synthetic":[103],"real":[105],"multispectral":[106],"data,":[107],"simulate":[109],"spectral":[111],"behavior":[112],"chlorophyll":[115],"concentration":[116],"subsurface":[118],"waters,":[119],"are":[120],"reported":[121],"discussed.":[123]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}