{"id":"https://openalex.org/W3010601449","doi":"https://doi.org/10.1109/access.2020.3009902","title":"Inverse Feature Learning: Feature Learning Based on Representation Learning of Error","display_name":"Inverse Feature Learning: Feature Learning Based on Representation Learning of Error","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3010601449","doi":"https://doi.org/10.1109/access.2020.3009902","mag":"3010601449","pmid":"https://pubmed.ncbi.nlm.nih.gov/34386308"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3009902","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3009902","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09143092.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09143092.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042116950","display_name":"Behzad Ghazanfari","orcid":"https://orcid.org/0000-0003-3004-0823"},"institutions":[{"id":"https://openalex.org/I203172682","display_name":"Northern Arizona University","ror":"https://ror.org/0272j5188","country_code":"US","type":"education","lineage":["https://openalex.org/I203172682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Behzad Ghazanfari","raw_affiliation_strings":["School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ 86001, USA"],"raw_orcid":"https://orcid.org/0000-0003-3004-0823","affiliations":[{"raw_affiliation_string":"School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ 86001, USA","institution_ids":["https://openalex.org/I203172682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035395012","display_name":"Fatemeh Afghah","orcid":"https://orcid.org/0000-0002-2315-1173"},"institutions":[{"id":"https://openalex.org/I203172682","display_name":"Northern Arizona University","ror":"https://ror.org/0272j5188","country_code":"US","type":"education","lineage":["https://openalex.org/I203172682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fatemeh Afghah","raw_affiliation_strings":["School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ 86001, USA"],"raw_orcid":"https://orcid.org/0000-0002-2315-1173","affiliations":[{"raw_affiliation_string":"School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ 86001, USA","institution_ids":["https://openalex.org/I203172682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111876448","display_name":"MohammadTaghi Hajiaghayi","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammadtaghi Hajiaghayi","raw_affiliation_strings":["Department of Computer Science, University of Maryland, College Park, MD 20742, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Maryland, College Park, MD 20742, USA","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02730116,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":null,"first_page":"132937","last_page":"132949"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991000294685364,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9977999925613403,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9977999925613403,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6694783568382263},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6660459041595459},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6573697924613953},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.645004153251648},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6273220181465149},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5352917909622192},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5305476784706116},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.5260193943977356},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5141754150390625},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.49507394433021545},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46973997354507446},{"id":"https://openalex.org/keywords/error-function","display_name":"Error function","score":0.42296499013900757},{"id":"https://openalex.org/keywords/generalization-error","display_name":"Generalization error","score":0.4139113426208496},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.2931656837463379},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23116186261177063},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18620848655700684}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6694783568382263},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6660459041595459},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6573697924613953},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.645004153251648},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6273220181465149},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5352917909622192},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5305476784706116},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.5260193943977356},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5141754150390625},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.49507394433021545},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46973997354507446},{"id":"https://openalex.org/C202286095","wikidata":"https://www.wikidata.org/wiki/Q579262","display_name":"Error function","level":2,"score":0.42296499013900757},{"id":"https://openalex.org/C117765406","wikidata":"https://www.wikidata.org/wiki/Q5362437","display_name":"Generalization error","level":3,"score":0.4139113426208496},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.2931656837463379},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23116186261177063},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18620848655700684},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.1109/access.2020.3009902","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3009902","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09143092.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmid:34386308","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34386308","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE access : practical innovations, open solutions","raw_type":null},{"id":"pmh:oai:arXiv.org:2003.03689","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.03689","pdf_url":"https://arxiv.org/pdf/2003.03689","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3010601449","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2003.03689.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:doaj.org/article:d9342804335f4d418722fe4c05c03288","is_oa":true,"landing_page_url":"https://doaj.org/article/d9342804335f4d418722fe4c05c03288","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 132937-132949 (2020)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8356800","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8356800","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access","raw_type":"Text"},{"id":"doi:10.48550/arxiv.2003.03689","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2003.03689","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3009902","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3009902","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09143092.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1796331819","display_name":null,"funder_award_id":"U54MD012388","funder_id":"https://openalex.org/F4320337534","funder_display_name":"National Institute on Minority Health and Health Disparities"},{"id":"https://openalex.org/G3712355543","display_name":"CRII: SCH: A Computational Framework to False Alarm Suppression in Intensive Care Units","funder_award_id":"1657260","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320310831","display_name":"Northern Arizona University","ror":"https://ror.org/0272j5188"},{"id":"https://openalex.org/F4320337534","display_name":"National Institute on Minority Health and Health Disparities","ror":"https://ror.org/0493hgw16"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3010601449.pdf","grobid_xml":"https://content.openalex.org/works/W3010601449.grobid-xml"},"referenced_works_count":65,"referenced_works":["https://openalex.org/W180242331","https://openalex.org/W1500895378","https://openalex.org/W1574877594","https://openalex.org/W1599935123","https://openalex.org/W1673310716","https://openalex.org/W1813659000","https://openalex.org/W1978633512","https://openalex.org/W1983320747","https://openalex.org/W2000904666","https://openalex.org/W2017257315","https://openalex.org/W2061562262","https://openalex.org/W2068042582","https://openalex.org/W2081771622","https://openalex.org/W2099471712","https://openalex.org/W2100495367","https://openalex.org/W2102409316","https://openalex.org/W2105464873","https://openalex.org/W2107789863","https://openalex.org/W2108343180","https://openalex.org/W2110798204","https://openalex.org/W2112796928","https://openalex.org/W2113592823","https://openalex.org/W2113606819","https://openalex.org/W2113896236","https://openalex.org/W2122825543","https://openalex.org/W2128728535","https://openalex.org/W2130325614","https://openalex.org/W2134603844","https://openalex.org/W2150593711","https://openalex.org/W2157317320","https://openalex.org/W2163922914","https://openalex.org/W2166076290","https://openalex.org/W2167101736","https://openalex.org/W2256782633","https://openalex.org/W2558531213","https://openalex.org/W2883725317","https://openalex.org/W2905076505","https://openalex.org/W2950180292","https://openalex.org/W2962755847","https://openalex.org/W2964074409","https://openalex.org/W2980235773","https://openalex.org/W3120740533","https://openalex.org/W4205699531","https://openalex.org/W4251155484","https://openalex.org/W6637131181","https://openalex.org/W6637461618","https://openalex.org/W6637938255","https://openalex.org/W6638304892","https://openalex.org/W6675401909","https://openalex.org/W6676071220","https://openalex.org/W6676481782","https://openalex.org/W6676759488","https://openalex.org/W6676772307","https://openalex.org/W6676903177","https://openalex.org/W6677919164","https://openalex.org/W6679935922","https://openalex.org/W6684553361","https://openalex.org/W6685380521","https://openalex.org/W6690230747","https://openalex.org/W6694532129","https://openalex.org/W6697212559","https://openalex.org/W6744763236","https://openalex.org/W6747833384","https://openalex.org/W6774651291","https://openalex.org/W6992441829"],"related_works":["https://openalex.org/W2895826831","https://openalex.org/W1492130155","https://openalex.org/W2463396207","https://openalex.org/W2147093486","https://openalex.org/W1816599501","https://openalex.org/W3184726247","https://openalex.org/W3200580571","https://openalex.org/W3086833091","https://openalex.org/W2979301925","https://openalex.org/W2108423015","https://openalex.org/W3093471646","https://openalex.org/W2900986825","https://openalex.org/W2766976224","https://openalex.org/W2990616006","https://openalex.org/W3033881428","https://openalex.org/W3084002038","https://openalex.org/W2964363137","https://openalex.org/W3034312118","https://openalex.org/W1599440649","https://openalex.org/W2038565363"],"abstract_inverted_index":{"approach.":[0],"The":[1,150],"key":[2],"contribution":[3],"of":[4,12,33,45,61,94,100,137,187],"this":[5,46,175],"method":[6,126],"is":[7,49],"to":[8,103,163,182],"learn":[9,70,76],"the":[10,36,40,51,92,104,110,135,145,155,164,184],"representation":[11,19,48,83,189],"error":[13,23,47,120,188],"as":[14,30],"high-level":[15],"features,":[16],"while":[17],"current":[18],"learning":[20,84,190,194],"methods":[21],"interpret":[22],"by":[24,96],"loss":[25],"functions":[26],"which":[27,108],"are":[28],"obtained":[29,59],"a":[31,98,179],"function":[32],"differences":[34],"between":[35,112],"true":[37],"labels":[38],"and":[39,90,115,122],"predicted":[41],"ones.":[42],"One":[43],"advantage":[44],"that":[50,73,154],"learned":[52,62],"features":[53,63,79,102],"for":[54,64,168],"each":[55,113,138],"class":[56,139],"can":[57,69,75,85,127,177],"be":[58,128],"independently":[60],"other":[65],"classes;":[66],"therefore,":[67],"IFL":[68,157],"simultaneously":[71],"meaning":[72],"it":[74],"new":[77,180],"classes'":[78],"without":[80],"retraining.":[81],"Error":[82],"also":[86],"help":[87],"with":[88,147],"generalization":[89],"reduce":[91],"chance":[93],"over-fitting":[95],"adding":[97],"set":[99,107],"impactful":[101],"original":[105],"data":[106,132,171],"capture":[109],"relationships":[111],"instance":[114],"different":[116,192],"classes":[117],"through":[118],"an":[119],"generation":[121],"analysis":[123],"process.":[124],"This":[125],"particularly":[129],"effective":[130],"in":[131,159,191],"sets,":[133],"where":[134],"instances":[136],"have":[140],"diverse":[141],"feature":[142,193],"representations":[143],"or":[144],"ones":[146],"imbalanced":[148],"classes.":[149],"experimental":[151],"results":[152,158],"show":[153],"proposed":[156,185],"better":[160],"performance":[161],"compared":[162],"state-of-the-art":[165],"classification":[166],"techniques":[167],"several":[169],"popular":[170],"sets.":[172],"We":[173],"hope":[174],"paper":[176],"open":[178],"path":[181],"utilize":[183],"perspective":[186],"domains.":[195]},"counts_by_year":[],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}