{"id":"https://openalex.org/W2170005116","doi":"https://doi.org/10.1109/ijcnn.2012.6252639","title":"Feature selection based on sparse imputation","display_name":"Feature selection based on sparse imputation","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2170005116","doi":"https://doi.org/10.1109/ijcnn.2012.6252639","mag":"2170005116"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2012.6252639","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2012.6252639","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2012 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://digitalcommons.uri.edu/ele_facpubs/581","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101605362","display_name":"Jin Xu","orcid":"https://orcid.org/0000-0002-6021-5551"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jin Xu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087888694","display_name":"Yafeng Yin","orcid":"https://orcid.org/0000-0002-9497-6244"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yafeng Yin","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069857153","display_name":"Hong Man","orcid":"https://orcid.org/0000-0002-8892-3066"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hong Man","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100411297","display_name":"Haibo He","orcid":"https://orcid.org/0000-0002-5247-9370"},"institutions":[{"id":"https://openalex.org/I17626003","display_name":"University of Rhode Island","ror":"https://ror.org/013ckk937","country_code":"US","type":"education","lineage":["https://openalex.org/I17626003"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haibo He","raw_affiliation_strings":["Department of Electrical, Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical, Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI, USA","institution_ids":["https://openalex.org/I17626003"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101605362"],"corresponding_institution_ids":["https://openalex.org/I108468826"],"apc_list":null,"apc_paid":null,"fwci":3.6202,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.9406071,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7991093397140503},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7022716999053955},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.625775158405304},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5836381912231445},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5374546647071838},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.5213707089424133},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4878511428833008},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4383043050765991},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4251860976219177},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36016416549682617},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.1512485146522522}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7991093397140503},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7022716999053955},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.625775158405304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5836381912231445},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5374546647071838},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.5213707089424133},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4878511428833008},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4383043050765991},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4251860976219177},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36016416549682617},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.1512485146522522},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ijcnn.2012.6252639","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2012.6252639","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2012 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:digitalcommons.uri.edu:ele_facpubs-1580","is_oa":true,"landing_page_url":"https://digitalcommons.uri.edu/ele_facpubs/581","pdf_url":null,"source":{"id":"https://openalex.org/S2764761010","display_name":"Journal of Media Literacy Education","issn_l":"2167-8715","issn":["2167-8715"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310316378","host_organization_name":"National Association for Media Literacy Education","host_organization_lineage":["https://openalex.org/P4310316378"],"host_organization_lineage_names":["National Association for Media Literacy Education"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electrical, Computer, and Biomedical Engineering Faculty Publications","raw_type":"text"},{"id":"pmh:oai:zenodo.org:1273327","is_oa":true,"landing_page_url":"https://zenodo.org/record/1273327","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:digitalcommons.uri.edu:ele_facpubs-1580","is_oa":true,"landing_page_url":"https://digitalcommons.uri.edu/ele_facpubs/581","pdf_url":null,"source":{"id":"https://openalex.org/S2764761010","display_name":"Journal of Media Literacy Education","issn_l":"2167-8715","issn":["2167-8715"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310316378","host_organization_name":"National Association for Media Literacy Education","host_organization_lineage":["https://openalex.org/P4310316378"],"host_organization_lineage_names":["National Association for Media Literacy Education"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electrical, Computer, and Biomedical Engineering Faculty Publications","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W12820539","https://openalex.org/W116877356","https://openalex.org/W131836728","https://openalex.org/W1560107318","https://openalex.org/W1587266360","https://openalex.org/W1685464609","https://openalex.org/W1963654454","https://openalex.org/W1986931325","https://openalex.org/W1988790447","https://openalex.org/W2005876975","https://openalex.org/W2029219176","https://openalex.org/W2060542593","https://openalex.org/W2078204800","https://openalex.org/W2105008578","https://openalex.org/W2105464770","https://openalex.org/W2108710077","https://openalex.org/W2116444583","https://openalex.org/W2119479037","https://openalex.org/W2122508088","https://openalex.org/W2129638195","https://openalex.org/W2129812935","https://openalex.org/W2136112386","https://openalex.org/W2141155793","https://openalex.org/W2149620660","https://openalex.org/W2151693816","https://openalex.org/W2153635508","https://openalex.org/W2153663612","https://openalex.org/W2153909896","https://openalex.org/W2154053567","https://openalex.org/W2154872931","https://openalex.org/W2156718197","https://openalex.org/W2161069508","https://openalex.org/W2799061466","https://openalex.org/W2963951026","https://openalex.org/W3022380717","https://openalex.org/W3120421331","https://openalex.org/W3120740533","https://openalex.org/W4244494905","https://openalex.org/W4285719527","https://openalex.org/W6604804374","https://openalex.org/W6605292603","https://openalex.org/W6633497745","https://openalex.org/W6637461618","https://openalex.org/W6680392111","https://openalex.org/W6681058996","https://openalex.org/W6681822384","https://openalex.org/W6682644385","https://openalex.org/W6682755970"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W4230315250","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Feature":[0],"selection,":[1],"which":[2],"aims":[3],"to":[4,17,38,61,71],"obtain":[5],"valuable":[6],"feature":[7,26,46,66,82],"subsets,":[8],"has":[9],"been":[10],"an":[11,19],"active":[12],"topic":[13],"for":[14,25,40],"years.":[15],"How":[16],"design":[18],"evaluating":[20],"metric":[21],"is":[22,56,69],"the":[23,41,73,99],"key":[24,54],"selection.":[27],"In":[28],"this":[29,33],"paper,":[30],"we":[31],"address":[32],"problem":[34],"using":[35],"imputation":[36,50],"quality":[37],"search":[39],"meaningful":[42],"features":[43],"and":[44,89],"propose":[45],"selection":[47,83],"via":[48],"sparse":[49,58],"(FSSI)":[51],"method.":[52,75,103],"The":[53,65],"idea":[55],"utilizing":[57],"representation":[59],"criterion":[60],"test":[62],"individual":[63],"feature.":[64],"based":[67],"classification":[68],"used":[70],"evaluate":[72],"proposed":[74],"Comparative":[76],"studies":[77],"are":[78],"conducted":[79],"with":[80],"classic":[81],"methods":[84],"(such":[85],"as":[86],"Fisher":[87],"score":[88],"Laplacian":[90],"score).":[91],"Experimental":[92],"results":[93],"on":[94],"benchmark":[95],"data":[96],"sets":[97],"demonstrate":[98],"effectiveness":[100],"of":[101],"FSSI":[102]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}