{"id":"https://openalex.org/W4390971060","doi":"https://doi.org/10.1109/bibm58861.2023.10386030","title":"Selecting Heterogeneous Features Based on Unified Density-Guided Neighborhood Relation for Complex Biomedical Data Analysis","display_name":"Selecting Heterogeneous Features Based on Unified Density-Guided Neighborhood Relation for Complex Biomedical Data Analysis","publication_year":2023,"publication_date":"2023-12-05","ids":{"openalex":"https://openalex.org/W4390971060","doi":"https://doi.org/10.1109/bibm58861.2023.10386030"},"language":"en","primary_location":{"id":"doi:10.1109/bibm58861.2023.10386030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm58861.2023.10386030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100308500","display_name":"Lang Zhao","orcid":"https://orcid.org/0009-0000-4052-7526"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lang Zhao","raw_affiliation_strings":["Guangdong University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100329232","display_name":"Yiqun Zhang","orcid":"https://orcid.org/0000-0002-0328-987X"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]},{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]},{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Yiqun Zhang","raw_affiliation_strings":["Guangdong Polytechnic Normal University","Guangdong University of Technology","Hong Kong Baptist University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Polytechnic Normal University","institution_ids":["https://openalex.org/I4210122543"]},{"raw_affiliation_string":"Guangdong University of Technology","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"Hong Kong Baptist University","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110436840","display_name":"Xiaopeng Luo","orcid":"https://orcid.org/0009-0005-9214-7716"},"institutions":[{"id":"https://openalex.org/I12615008","display_name":"Beijing Normal-Hong Kong Baptist University","ror":"https://ror.org/04snvc712","country_code":"CN","type":"education","lineage":["https://openalex.org/I12615008"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaopeng Luo","raw_affiliation_strings":["BNU-HKBU United International College"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BNU-HKBU United International College","institution_ids":["https://openalex.org/I12615008"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027675259","display_name":"Yue Zhang","orcid":"https://orcid.org/0000-0001-5435-7871"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]},{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Zhang","raw_affiliation_strings":["Guangdong Polytechnic Normal University","Guangdong University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Polytechnic Normal University","institution_ids":["https://openalex.org/I4210122543"]},{"raw_affiliation_string":"Guangdong University of Technology","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038516431","display_name":"Yiu\u2010ming Cheung","orcid":"https://orcid.org/0000-0001-7629-4648"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yiu-Ming Cheung","raw_affiliation_strings":["Hong Kong Baptist University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026092741","display_name":"Kangshun Li","orcid":"https://orcid.org/0000-0002-0429-446X"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kangshun Li","raw_affiliation_strings":["South China Agricultural University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China Agricultural University","institution_ids":["https://openalex.org/I101479585"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"771","last_page":"778"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9944999814033508,"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":0.9944999814033508,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9904000163078308,"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"}},{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.743194580078125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7060093283653259},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6855500936508179},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.6841797232627869},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6154343485832214},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5907079577445984},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5846283435821533},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.4887251853942871},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4805189073085785},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.45738404989242554},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4361829459667206},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4223203659057617},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4038875699043274},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.329382061958313},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2580335736274719},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.201316237449646}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.743194580078125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7060093283653259},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6855500936508179},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.6841797232627869},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6154343485832214},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5907079577445984},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5846283435821533},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.4887251853942871},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4805189073085785},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.45738404989242554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4361829459667206},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4223203659057617},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4038875699043274},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.329382061958313},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2580335736274719},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.201316237449646},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm58861.2023.10386030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm58861.2023.10386030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7400000095367432}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320955","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1565746575","https://openalex.org/W1978603136","https://openalex.org/W2122111042","https://openalex.org/W2142623955","https://openalex.org/W2143668817","https://openalex.org/W2153338628","https://openalex.org/W2175099382","https://openalex.org/W2534219692","https://openalex.org/W2786375215","https://openalex.org/W2890693049","https://openalex.org/W2895388200","https://openalex.org/W2907868678","https://openalex.org/W2912882859","https://openalex.org/W2915253732","https://openalex.org/W2925162041","https://openalex.org/W2997152122","https://openalex.org/W3017786722","https://openalex.org/W3080568059","https://openalex.org/W3085576080","https://openalex.org/W3120740533","https://openalex.org/W3128396846","https://openalex.org/W3195800132","https://openalex.org/W3204294171","https://openalex.org/W3208396386","https://openalex.org/W3212201412","https://openalex.org/W4205114089","https://openalex.org/W4206095984","https://openalex.org/W4239510810","https://openalex.org/W4285601133","https://openalex.org/W4289792606","https://openalex.org/W4295308409","https://openalex.org/W4313452937","https://openalex.org/W4319586703","https://openalex.org/W4387171521","https://openalex.org/W4390143667","https://openalex.org/W6769984565"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4312407344","https://openalex.org/W2894289927"],"abstract_inverted_index":{"Biomedical":[0],"big":[1],"data":[2,85],"are":[3,65,74,129],"usually":[4,87],"high":[5],"dimensional":[6],"and":[7,29,47,92,184],"collected":[8],"in":[9,169],"the":[10,36,45,57,62,76,80,116,123,131,137,177],"form":[11],"of":[12,16,75,89,118,130,189,199],"a":[13,24,52,68,99,111,142,191],"continuous":[14],"influx":[15],"new":[17,100],"features.":[18,94,172],"Online":[19,103],"Feature":[20,105],"Selection":[21,106],"(OFS)":[22],"is":[23,145,162,187],"promising":[25],"way":[26],"to":[27,102,165],"manage":[28],"analyze":[30],"such":[31],"data,":[32],"as":[33],"OFS":[34,63],"circumvents":[35],"huge":[37],"computation":[38],"cost":[39],"brought":[40],"by":[41,153],"simultaneously":[42],"considering":[43],"all":[44,61,72,122],"features,":[46],"can":[48],"also":[49,163],"dynamically":[50,109],"maintain":[51],"distribution-fitting":[53],"feature":[54,112,193],"subset":[55,113,194],"on":[56,67],"fly.":[58],"However,":[59],"almost":[60],"solutions":[64],"based":[66],"naive":[69],"premise":[70],"that":[71,82,114,176],"features":[73,180],"same":[77,132],"type,":[78],"overlooking":[79],"fact":[81],"real":[83],"biomedical":[84],"set":[86,128],"consists":[88],"heterogeneous":[90,171],"numerical":[91],"categorical":[93],"This":[95],"paper":[96],"therefore":[97],"proposes":[98],"approach":[101,179],"Heterogeneous":[104],"(OHFS),":[107],"which":[108,147],"maintains":[110],"maximizes":[115],"number":[117],"neighborhood":[119,127,140,151],"sets":[120,152],"where":[121],"objects":[124,138],"within":[125],"each":[126],"class.":[133],"To":[134],"appropriately":[135],"partition":[136],"into":[139],"sets,":[141],"density-guided":[143],"relation":[144],"proposed,":[146],"adaptively":[148],"forms":[149],"non-overlapping":[150],"detecting":[154],"spatially":[155],"compact":[156],"objects.":[157],"A":[158],"unified":[159],"density":[160],"measure":[161],"presented":[164],"avoid":[166],"information":[167],"loss":[168],"processing":[170],"It":[173,186],"turns":[174],"out":[175],"proposed":[178],"parameter-":[181],"free,":[182],"interpretability,":[183],"efficiency.":[185],"capable":[188],"maintaining":[190],"concise":[192],"while":[195],"receiving":[196],"any":[197],"type":[198],"feature.":[200],"Extensive":[201],"experimental":[202],"evaluations":[203],"demonstrate":[204],"its":[205],"superiority.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}