{"id":"https://openalex.org/W3137828669","doi":"https://doi.org/10.1002/sam.11567","title":"Feature selection for imbalanced data with deep sparse autoencoders ensemble","display_name":"Feature selection for imbalanced data with deep sparse autoencoders ensemble","publication_year":2021,"publication_date":"2021-12-12","ids":{"openalex":"https://openalex.org/W3137828669","doi":"https://doi.org/10.1002/sam.11567","mag":"3137828669"},"language":"en","primary_location":{"id":"doi:10.1002/sam.11567","doi":"https://doi.org/10.1002/sam.11567","is_oa":false,"landing_page_url":"https://doi.org/10.1002/sam.11567","pdf_url":null,"source":{"id":"https://openalex.org/S40788348","display_name":"Statistical Analysis and Data Mining The ASA Data Science Journal","issn_l":"1932-1864","issn":["1932-1864","1932-1872"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-b","doyens","jufo-1","norway-1","poland-70","russia-white-list-3","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistical Analysis and Data Mining: The ASA Data Science Journal","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2103.11678","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076853733","display_name":"Michela Carlotta Massi","orcid":"https://orcid.org/0000-0001-5393-8180","observed_orcids":["https://orcid.org/0000-0001-5393-8180"]},"institutions":[{"id":"https://openalex.org/I4210115812","display_name":"Human Technopole","ror":"https://ror.org/029gmnc79","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210115812"]},{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Michela Carlotta Massi","raw_affiliation_strings":["CHDS \u2010 Center for Health Data Science Human Technopole  Milano Italy","MOX Laboratory for Modeling and Scientific Computing, Department of Mathematics Politecnico di Milano  Milano Italy","CHDS - Center for Health Data Science, Human Technopole, Milano, Italy","MOX Laboratory for Modeling and Scientific Computing, Department of Mathematics, Politecnico di Milano, Milano, Italy"],"raw_orcid":"https://orcid.org/0000-0001-5393-8180","affiliations":[{"raw_affiliation_string":"CHDS \u2010 Center for Health Data Science Human Technopole  Milano Italy","institution_ids":["https://openalex.org/I4210115812"]},{"raw_affiliation_string":"MOX Laboratory for Modeling and Scientific Computing, Department of Mathematics Politecnico di Milano  Milano Italy","institution_ids":["https://openalex.org/I93860229"]},{"raw_affiliation_string":"CHDS - Center for Health Data Science, Human Technopole, Milano, Italy","institution_ids":["https://openalex.org/I4210115812"]},{"raw_affiliation_string":"MOX Laboratory for Modeling and Scientific Computing, Department of Mathematics, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002498146","display_name":"Francesca Gasperoni","orcid":"https://orcid.org/0000-0002-1713-9477","observed_orcids":["https://orcid.org/0000-0002-1713-9477"]},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]},{"id":"https://openalex.org/I4210134973","display_name":"MRC Biostatistics Unit","ror":"https://ror.org/046vje122","country_code":"GB","type":"facility","lineage":["https://openalex.org/I241749","https://openalex.org/I4210087105","https://openalex.org/I4210134973","https://openalex.org/I90344618"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Francesca Gasperoni","raw_affiliation_strings":["MRC Biostatistics Unit University of Cambridge  Cambridge UK","MRC Biostatistics Unit, University of Cambridge, Cambridge, UK"],"raw_orcid":"https://orcid.org/0000-0002-1713-9477","affiliations":[{"raw_affiliation_string":"MRC Biostatistics Unit University of Cambridge  Cambridge UK","institution_ids":["https://openalex.org/I241749","https://openalex.org/I4210134973"]},{"raw_affiliation_string":"MRC Biostatistics Unit, University of Cambridge, Cambridge, UK","institution_ids":["https://openalex.org/I241749","https://openalex.org/I4210134973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082171979","display_name":"Francesca Ieva","orcid":"https://orcid.org/0000-0003-0165-1983","observed_orcids":["https://orcid.org/0000-0003-0165-1983"]},"institutions":[{"id":"https://openalex.org/I4210115812","display_name":"Human Technopole","ror":"https://ror.org/029gmnc79","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210115812"]},{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesca Ieva","raw_affiliation_strings":["CHDS \u2010 Center for Health Data Science Human Technopole  Milano Italy","MOX Laboratory for Modeling and Scientific Computing, Department of Mathematics Politecnico di Milano  Milano Italy","CHDS - Center for Health Data Science, Human Technopole, Milano, Italy","MOX Laboratory for Modeling and Scientific Computing, Department of Mathematics, Politecnico di Milano, Milano, Italy"],"raw_orcid":"https://orcid.org/0000-0003-0165-1983","affiliations":[{"raw_affiliation_string":"CHDS \u2010 Center for Health Data Science Human Technopole  Milano Italy","institution_ids":["https://openalex.org/I4210115812"]},{"raw_affiliation_string":"MOX Laboratory for Modeling and Scientific Computing, Department of Mathematics Politecnico di Milano  Milano Italy","institution_ids":["https://openalex.org/I93860229"]},{"raw_affiliation_string":"CHDS - Center for Health Data Science, Human Technopole, Milano, Italy","institution_ids":["https://openalex.org/I4210115812"]},{"raw_affiliation_string":"MOX Laboratory for Modeling and Scientific Computing, Department of Mathematics, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057175197","display_name":"Anna Maria Paganoni","orcid":"https://orcid.org/0000-0002-8253-3630","observed_orcids":["https://orcid.org/0000-0002-8253-3630"]},"institutions":[{"id":"https://openalex.org/I4210115812","display_name":"Human Technopole","ror":"https://ror.org/029gmnc79","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210115812"]},{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Anna Maria Paganoni","raw_affiliation_strings":["CHDS \u2010 Center for Health Data Science Human Technopole  Milano Italy","MOX Laboratory for Modeling and Scientific Computing, Department of Mathematics Politecnico di Milano  Milano Italy","CHDS - Center for Health Data Science, Human Technopole, Milano, Italy","MOX Laboratory for Modeling and Scientific Computing, Department of Mathematics, Politecnico di Milano, Milano, Italy"],"raw_orcid":"https://orcid.org/0000-0002-8253-3630","affiliations":[{"raw_affiliation_string":"CHDS \u2010 Center for Health Data Science Human Technopole  Milano Italy","institution_ids":["https://openalex.org/I4210115812"]},{"raw_affiliation_string":"MOX Laboratory for Modeling and Scientific Computing, Department of Mathematics Politecnico di Milano  Milano Italy","institution_ids":["https://openalex.org/I93860229"]},{"raw_affiliation_string":"CHDS - Center for Health Data Science, Human Technopole, Milano, Italy","institution_ids":["https://openalex.org/I4210115812"]},{"raw_affiliation_string":"MOX Laboratory for Modeling and Scientific Computing, Department of Mathematics, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5076853733"],"corresponding_institution_ids":["https://openalex.org/I4210115812","https://openalex.org/I93860229"],"apc_list":{"value":3600,"currency":"USD","value_usd":3600},"apc_paid":null,"fwci":0.6075,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.68230886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":"15","issue":"3","first_page":"376","last_page":"395"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9814000129699707,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9814000129699707,"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":0.01140000019222498,"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/T10057","display_name":"Face and Expression Recognition","score":0.0012000000569969416,"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/feature-selection","display_name":"feature selection","score":0.9890000224113464},{"id":"https://openalex.org/keywords/class-imbalance","display_name":"class imbalance","score":0.8519999980926514},{"id":"https://openalex.org/keywords/deep-sparse-autoencoder","display_name":"deep sparse autoencoder","score":0.9449999928474426},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"ensemble learning","score":0.6610000133514404},{"id":"https://openalex.org/keywords/reconstruction-error","display_name":"reconstruction error","score":0.9150000214576721},{"id":"https://openalex.org/keywords/feature-importance-ranking","display_name":"feature importance ranking","score":0.7310000061988831},{"id":"https://openalex.org/keywords/minority-class","display_name":"minority class","score":0.7670000195503235},{"id":"https://openalex.org/keywords/high-dimensional-data","display_name":"high-dimensional data","score":0.7549999952316284},{"id":"https://openalex.org/keywords/radiogenomics","display_name":"radiogenomics","score":0.8339999914169312},{"id":"https://openalex.org/keywords/interpretability","display_name":"interpretability","score":0.6470000147819519}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8390446901321411},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7159197926521301},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7140099406242371},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6677255630493164},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6178551912307739},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5761491060256958},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5735923051834106},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5506701469421387},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5374271273612976},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5281258225440979},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5134109258651733},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.41493451595306396},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38074052333831787},{"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1002/sam.11567","doi":"https://doi.org/10.1002/sam.11567","is_oa":false,"landing_page_url":"https://doi.org/10.1002/sam.11567","pdf_url":null,"source":{"id":"https://openalex.org/S40788348","display_name":"Statistical Analysis and Data Mining The ASA Data Science Journal","issn_l":"1932-1864","issn":["1932-1864","1932-1872"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-b","doyens","jufo-1","norway-1","poland-70","russia-white-list-3","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistical Analysis and Data Mining: The ASA Data Science Journal","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2103.11678","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.11678","pdf_url":"https://arxiv.org/pdf/2103.11678","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,"listed_in":[],"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":"pmh:oai:re.public.polimi.it:11311/1192007","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/11311/1192007","pdf_url":"https://re.public.polimi.it/bitstream/11311/1192007/4/11311-1192007_Massi.pdf","source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"doi:10.48550/arxiv.2103.11678","doi":"https://doi.org/10.48550/arxiv.2103.11678","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2103.11678","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,"listed_in":[],"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":"pmh:oai:arXiv.org:2103.11678","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.11678","pdf_url":"https://arxiv.org/pdf/2103.11678","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,"listed_in":[],"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"},"sustainable_development_goals":[{"score":0.7307999730110168,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"sustainable_development_goals_aurora":[{"score":0.6899999976158142,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G6281257720","display_name":null,"funder_award_id":"MRC_MC_UU_00002/5","funder_id":"https://openalex.org/F4320334626","funder_display_name":"Medical Research Council"}],"funders":[{"id":"https://openalex.org/F4320334626","display_name":"Medical Research Council","ror":"https://ror.org/03x94j517"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W140777655","https://openalex.org/W154343146","https://openalex.org/W1493357981","https://openalex.org/W1534477342","https://openalex.org/W1646753116","https://openalex.org/W1730693163","https://openalex.org/W1904191683","https://openalex.org/W1966081744","https://openalex.org/W1966297316","https://openalex.org/W1975664724","https://openalex.org/W1996941060","https://openalex.org/W2015283109","https://openalex.org/W2022348393","https://openalex.org/W2023450550","https://openalex.org/W2030623877","https://openalex.org/W2053744708","https://openalex.org/W2055271333","https://openalex.org/W2055719802","https://openalex.org/W2058507142","https://openalex.org/W2086234878","https://openalex.org/W2090477362","https://openalex.org/W2100495367","https://openalex.org/W2101234009","https://openalex.org/W2106396998","https://openalex.org/W2106479238","https://openalex.org/W2107109500","https://openalex.org/W2119479037","https://openalex.org/W2131391419","https://openalex.org/W2138283690","https://openalex.org/W2138776277","https://openalex.org/W2143426320","https://openalex.org/W2151967606","https://openalex.org/W2152799677","https://openalex.org/W2171837816","https://openalex.org/W2181347294","https://openalex.org/W2499374012","https://openalex.org/W2614183994","https://openalex.org/W2621614835","https://openalex.org/W2734718015","https://openalex.org/W2766574478","https://openalex.org/W2775194089","https://openalex.org/W2787225914","https://openalex.org/W2793070089","https://openalex.org/W2801371247","https://openalex.org/W2913375711","https://openalex.org/W2949311145","https://openalex.org/W2955108581","https://openalex.org/W2962984958","https://openalex.org/W2965981069","https://openalex.org/W2981714504","https://openalex.org/W2989219518","https://openalex.org/W3014385187","https://openalex.org/W3093028997","https://openalex.org/W4251163770","https://openalex.org/W4256141317","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W2806259446","https://openalex.org/W2963326959","https://openalex.org/W4318751837","https://openalex.org/W4382468411"],"abstract_inverted_index":{"Abstract":[0],"Class":[1],"imbalance":[2],"is":[3,20],"a":[4,78,93,129,194],"common":[5],"issue":[6],"in":[7,15,62,73,157,197],"many":[8],"domain":[9],"applications":[10],"of":[11,65,88,92,115,132,154,166],"learning":[12],"algorithms.":[13],"Oftentimes,":[14],"the":[16,63,86,89,113,116,122,125,135,140,147,152,200],"same":[17],"domains":[18],"it":[19],"much":[21],"more":[22],"relevant":[23,142,175],"to":[24,108,144,173,179],"correctly":[25],"classify":[26,182],"and":[27,53,162,176,181],"profile":[28,180],"minority":[29,126,183],"class":[30,107,127],"observations.":[31],"This":[32],"need":[33],"can":[34],"be":[35],"addressed":[36],"by":[37],"feature":[38,83],"selection":[39],"(FS),":[40],"that":[41],"offers":[42],"several":[43,158],"further":[44],"advantages,":[45],"such":[46],"as":[47],"decreasing":[48],"computational":[49],"costs,":[50],"aiding":[51],"inference":[52],"interpretability.":[54],"However,":[55],"traditional":[56],"FS":[57,71,80,188],"techniques":[58],"may":[59],"become":[60],"suboptimal":[61],"presence":[64],"strongly":[66],"imbalanced":[67],"data.":[68],"To":[69],"achieve":[70],"advantages":[72],"this":[74],"setting,":[75],"we":[76,120],"propose":[77],"filtering":[79],"algorithm":[81,156],"ranking":[82],"importance":[84],"on":[85,105,163],"basis":[87],"reconstruction":[90,118],"error":[91],"deep":[94],"sparse":[95],"autoencoders":[96],"ensemble":[97],"(DSAEE).":[98],"We":[99,149,190],"use":[100],"each":[101],"DSAE":[102],"trained":[103],"only":[104],"majority":[106],"reconstruct":[109],"both":[110,160],"classes.":[111],"From":[112],"analysis":[114],"aggregated":[117],"error,":[119],"determine":[121],"features":[123,143,178],"where":[124,199],"presents":[128],"different":[130],"distribution":[131],"values":[133],"w.r.t.":[134],"overrepresented":[136],"one,":[137],"thus":[138],"identifying":[139],"most":[141],"discriminate":[145],"between":[146],"two.":[148],"empirically":[150],"demonstrate":[151],"efficacy":[153],"our":[155],"experiments,":[159],"simulated":[161],"high\u2010dimensional":[164],"datasets":[165],"varying":[167],"sample":[168],"size,":[169],"showcasing":[170],"its":[171],"capability":[172],"select":[174],"generalizable":[177],"class,":[184],"outperforming":[185],"other":[186],"benchmark":[187],"methods.":[189],"also":[191],"briefly":[192],"present":[193],"real":[195],"application":[196],"radiogenomics,":[198],"methodology":[201],"was":[202],"applied":[203],"successfully.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-10-17T09:40:24.721904","created_date":"2025-10-10T00:00:00"}