{"id":"https://openalex.org/W2912322821","doi":"https://doi.org/10.1109/cisp-bmei.2018.8633252","title":"A Classification Model for Class Imbalance Problem in Protein Subnuclear Localization","display_name":"A Classification Model for Class Imbalance Problem in Protein Subnuclear Localization","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2912322821","doi":"https://doi.org/10.1109/cisp-bmei.2018.8633252","mag":"2912322821"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2018.8633252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2018.8633252","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5102018872","display_name":"Liwen Wu","orcid":"https://orcid.org/0000-0002-4959-444X"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liwen Wu","raw_affiliation_strings":["School of Software, Yunnan University, Kunming, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014811920","display_name":"Yi Xiang","orcid":"https://orcid.org/0000-0002-1154-5802"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Xiang","raw_affiliation_strings":["School of Software, Yunnan University, Kunming, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106616368","display_name":"Yikun Yang","orcid":"https://orcid.org/0009-0005-9074-9510"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yikun Yang","raw_affiliation_strings":["School of Software, Yunnan University, Kunming, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101402230","display_name":"Gang Xue","orcid":"https://orcid.org/0000-0001-6555-2269"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Xue","raw_affiliation_strings":["School of Software, Yunnan University, Kunming, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000436275","display_name":"Shaowen Yao","orcid":"https://orcid.org/0000-0003-1516-4246"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaowen Yao","raw_affiliation_strings":["School of Software, Yunnan University, Kunming, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100641350","display_name":"Xin Jin","orcid":"https://orcid.org/0000-0003-2211-2006"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Jin","raw_affiliation_strings":["School of Software, Yunnan University, Kunming, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102018872"],"corresponding_institution_ids":["https://openalex.org/I189210763"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13387745,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9970999956130981,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9799000024795532,"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/oversampling","display_name":"Oversampling","score":0.7762991786003113},{"id":"https://openalex.org/keywords/jackknife-resampling","display_name":"Jackknife resampling","score":0.6618225574493408},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6096065640449524},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5891862511634827},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5693097710609436},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5681376457214355},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4682532250881195},{"id":"https://openalex.org/keywords/subcellular-localization","display_name":"Subcellular localization","score":0.4632495641708374},{"id":"https://openalex.org/keywords/protein-subcellular-localization-prediction","display_name":"Protein subcellular localization prediction","score":0.42478060722351074},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33172857761383057},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25206929445266724},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10216286778450012},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.09489992260932922},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08389207720756531}],"concepts":[{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.7762991786003113},{"id":"https://openalex.org/C81790035","wikidata":"https://www.wikidata.org/wiki/Q847158","display_name":"Jackknife resampling","level":3,"score":0.6618225574493408},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6096065640449524},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5891862511634827},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5693097710609436},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5681376457214355},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4682532250881195},{"id":"https://openalex.org/C2776879804","wikidata":"https://www.wikidata.org/wiki/Q7630919","display_name":"Subcellular localization","level":3,"score":0.4632495641708374},{"id":"https://openalex.org/C140051345","wikidata":"https://www.wikidata.org/wiki/Q7251501","display_name":"Protein subcellular localization prediction","level":3,"score":0.42478060722351074},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33172857761383057},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25206929445266724},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10216286778450012},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.09489992260932922},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08389207720756531},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C190062978","wikidata":"https://www.wikidata.org/wiki/Q79899","display_name":"Cytoplasm","level":2,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2018.8633252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2018.8633252","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.699999988079071,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1585302803","https://openalex.org/W1982276763","https://openalex.org/W1984323748","https://openalex.org/W2022348393","https://openalex.org/W2034070267","https://openalex.org/W2066435331","https://openalex.org/W2075037192","https://openalex.org/W2087787741","https://openalex.org/W2104873783","https://openalex.org/W2118978333","https://openalex.org/W2134837462","https://openalex.org/W2147813562","https://openalex.org/W2148002238","https://openalex.org/W2148143831","https://openalex.org/W2157142295","https://openalex.org/W2201036356","https://openalex.org/W2260093441","https://openalex.org/W2562319768","https://openalex.org/W2766117835","https://openalex.org/W2792895843","https://openalex.org/W2911964244"],"related_works":["https://openalex.org/W3196098778","https://openalex.org/W3211250490","https://openalex.org/W2351398203","https://openalex.org/W4205775722","https://openalex.org/W4366498163","https://openalex.org/W4360584310","https://openalex.org/W2402975874","https://openalex.org/W2981515171","https://openalex.org/W2924282518","https://openalex.org/W80466363"],"abstract_inverted_index":{"Class":[0],"imbalance":[1,27,44,93,130],"is":[2,64,81],"a":[3,37],"common":[4],"problem":[5,24,45,131],"in":[6,28,73,94,137],"protein":[7,29,55,72,111,138],"subnuclear":[8,30,112,139],"localization,":[9],"which":[10],"can":[11,125],"seriously":[12],"affect":[13],"the":[14,23,42,48,52,62,68,76,92,98,104,110,123,128,134],"classification":[15,135],"performance.":[16],"However,":[17],"few":[18],"studies":[19],"have":[20],"focused":[21],"on":[22,47],"of":[25,54,71,87],"class":[26,43,89,129],"localization.":[31,113,140],"In":[32],"this":[33],"paper,":[34],"we":[35],"propose":[36],"novel":[38],"method":[39,78],"to":[40,66,83,108],"solve":[41,127],"based":[46],"oversampling":[49],"method.":[50],"Firstly,":[51],"features":[53],"are":[56,101],"captured":[57],"by":[58,118],"PSSM,":[59],"and":[60,90,132],"then":[61],"KPCA":[63],"used":[65,82],"extract":[67],"valuable":[69],"information":[70],"PSSM.":[74],"Next,":[75],"proposed":[77],"named":[79],"M-SMOTE":[80,124],"generate":[84],"new":[85],"samples":[86,100],"minority":[88],"eliminate":[91],"different":[95],"class.":[96],"Finally,":[97],"processed":[99],"input":[102],"into":[103],"Random":[105],"Forest":[106],"classifier":[107],"predict":[109],"The":[114],"experiments":[115],"results":[116],"obtained":[117],"jackknife":[119],"test":[120],"indicate":[121],"that":[122],"effectively":[126],"improve":[133],"performance":[136]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}