{"id":"https://openalex.org/W4411015925","doi":"https://doi.org/10.1145/3728725.3728781","title":"Backward automatic screening feature selection algorithm based on multi-evaluation criterion fusion","display_name":"Backward automatic screening feature selection algorithm based on multi-evaluation criterion fusion","publication_year":2025,"publication_date":"2025-02-21","ids":{"openalex":"https://openalex.org/W4411015925","doi":"https://doi.org/10.1145/3728725.3728781"},"language":"en","primary_location":{"id":"doi:10.1145/3728725.3728781","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3728725.3728781","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3728725.3728781","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 2nd International Conference on Generative Artificial Intelligence and Information Security","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3728725.3728781","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102445807","display_name":"Chan Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chan Li","raw_affiliation_strings":["Air Force Engineering University, Xi'an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0009-0001-1939-1959","affiliations":[{"raw_affiliation_string":"Air Force Engineering University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wenjing Guo","orcid":"https://orcid.org/0009-0006-6614-0470"},"institutions":[{"id":"https://openalex.org/I4210141776","display_name":"China XD Group (China)","ror":"https://ror.org/04ceqst84","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210141776"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjing Guo","raw_affiliation_strings":["BYD Company Limited, Xi'an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0009-0006-6614-0470","affiliations":[{"raw_affiliation_string":"BYD Company Limited, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I4210141776"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068386390","display_name":"Jikai Qin","orcid":"https://orcid.org/0000-0003-3688-6651"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jikai Qin","raw_affiliation_strings":["Air Force Engineering University, Xi'an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0003-3688-6651","affiliations":[{"raw_affiliation_string":"Air Force Engineering University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I4210104252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1194194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"347","last_page":"353"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9570000171661377,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9570000171661377,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.953000009059906,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9519000053405762,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6780180335044861},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6446132063865662},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5761942863464355},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5229283571243286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4823724329471588},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4702635705471039},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4656527638435364},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43869292736053467},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3668065667152405}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6780180335044861},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6446132063865662},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5761942863464355},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5229283571243286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4823724329471588},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4702635705471039},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4656527638435364},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43869292736053467},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3668065667152405},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3728725.3728781","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3728725.3728781","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3728725.3728781","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 2nd International Conference on Generative Artificial Intelligence and Information Security","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3728725.3728781","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3728725.3728781","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3728725.3728781","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 2nd International Conference on Generative Artificial Intelligence and Information Security","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411015925.pdf","grobid_xml":"https://content.openalex.org/works/W4411015925.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W2012025566","https://openalex.org/W2102708620","https://openalex.org/W2290145898","https://openalex.org/W2765937321","https://openalex.org/W2955612236","https://openalex.org/W4311746733","https://openalex.org/W4391547593"],"related_works":["https://openalex.org/W4205762803","https://openalex.org/W2535856026","https://openalex.org/W2265065644","https://openalex.org/W2099421762","https://openalex.org/W2134699697","https://openalex.org/W3017188156","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2152662039"],"abstract_inverted_index":{"In":[0,47],"view":[1],"of":[2,65,102,118],"the":[3,7,20,26,50,62,74,79,95,100],"tedious":[4],"problem":[5],"that":[6,94],"feature":[8,21,28,34,51,81,96,110],"selection":[9,33,35,97],"algorithm":[10,36,98],"based":[11,37],"on":[12,38],"multi-evaluation":[13,39,57],"criterion":[14],"fusion":[15,41,59],"needs":[16],"to":[17,24],"manually":[18],"set":[19],"threshold":[22],"repeatedly":[23],"obtain":[25],"optimal":[27,80],"subset,":[29],"a":[30],"backward":[31,86],"automatic":[32,87,103],"criteria":[40,58],"is":[42,54,71,83],"proposed":[43],"in":[44],"this":[45,48],"paper.":[46],"algorithm,":[49,60],"evaluation":[52],"value":[53],"calculated":[55],"using":[56],"then":[61],"discrimination":[63,113],"performance":[64,120],"Support":[66],"Vector":[67],"Data":[68],"Description":[69],"(SVDD)":[70],"used":[72],"as":[73],"screening":[75,88],"criterion,":[76],"and":[77,115],"finally":[78],"subset":[82],"obtained":[84],"by":[85],"algorithm.":[89],"The":[90],"experimental":[91],"results":[92],"show":[93],"has":[99],"advantages":[101],"screening,":[104],"noise":[105],"robust,":[106,108],"clutter":[107],"low":[109,116],"dimension,":[111],"high":[112],"rate":[114],"deterioration":[117],"discriminative":[119],"for":[121],"small":[122],"sample":[123],"problems.":[124]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}