{"id":"https://openalex.org/W3011632279","doi":"https://doi.org/10.1117/12.2549389","title":"Siamese neural networks for the classification of high-dimensional radiomic features","display_name":"Siamese neural networks for the classification of high-dimensional radiomic features","publication_year":2020,"publication_date":"2020-03-16","ids":{"openalex":"https://openalex.org/W3011632279","doi":"https://doi.org/10.1117/12.2549389","mag":"3011632279","pmid":"https://pubmed.ncbi.nlm.nih.gov/32528215","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/7288755"},"language":"en","primary_location":{"id":"doi:10.1117/12.2549389","doi":"https://doi.org/10.1117/12.2549389","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2549389","pdf_url":null,"source":{"id":"https://openalex.org/S4363606689","display_name":"SPIE Medical Imaging: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: Computer-Aided Diagnosis","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC7288755/pdf/nihms-1592314.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012945387","display_name":"Abhishaike Mahajan","orcid":"https://orcid.org/0000-0002-9660-9288","observed_orcids":["https://orcid.org/0000-0002-9660-9288"]},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abhishaike Mahajan","raw_affiliation_strings":["Department of Bioengineering, University of Texas at Dallas, Richardson, TX","Department of Cognition and Neuroscience, University of Texas at Dallas, Richardson, TX","The Univ. of Texas at Dallas (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Bioengineering, University of Texas at Dallas, Richardson, TX","institution_ids":["https://openalex.org/I162577319"]},{"raw_affiliation_string":"Department of Cognition and Neuroscience, University of Texas at Dallas, Richardson, TX","institution_ids":["https://openalex.org/I162577319"]},{"raw_affiliation_string":"The Univ. of Texas at Dallas (United States)","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078548953","display_name":"James D. Dormer","orcid":"https://orcid.org/0000-0002-0719-6697","observed_orcids":["https://orcid.org/0000-0002-0719-6697"]},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James D. Dormer","raw_affiliation_strings":["Department of Bioengineering, University of Texas at Dallas, Richardson, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Bioengineering, University of Texas at Dallas, Richardson, TX","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023452318","display_name":"Qinmei Li","orcid":"https://orcid.org/0000-0002-8873-1398","observed_orcids":["https://orcid.org/0000-0002-8873-1398"]},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]},{"id":"https://openalex.org/I4210090868","display_name":"Second Affiliated Hospital of Guangzhou Medical University","ror":"https://ror.org/00a98yf63","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210090868"]},{"id":"https://openalex.org/I92039509","display_name":"Guangzhou Medical University","ror":"https://ror.org/00zat6v61","country_code":"CN","type":"education","lineage":["https://openalex.org/I92039509"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Qinmei Li","raw_affiliation_strings":["Department of Bioengineering, University of Texas at Dallas, Richardson, TX","Department of Radiology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China","The Second Affiliated Hospital of Guangzhou Medical Univ. (China)","The Univ. of Texas at Dallas (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Bioengineering, University of Texas at Dallas, Richardson, TX","institution_ids":["https://openalex.org/I162577319"]},{"raw_affiliation_string":"Department of Radiology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I4210090868"]},{"raw_affiliation_string":"The Second Affiliated Hospital of Guangzhou Medical Univ. (China)","institution_ids":["https://openalex.org/I4210090868","https://openalex.org/I92039509"]},{"raw_affiliation_string":"The Univ. of Texas at Dallas (United States)","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016277788","display_name":"Deji Chen","orcid":"https://orcid.org/0000-0002-7838-9576","observed_orcids":["https://orcid.org/0000-0002-7838-9576"]},"institutions":[{"id":"https://openalex.org/I4210090868","display_name":"Second Affiliated Hospital of Guangzhou Medical University","ror":"https://ror.org/00a98yf63","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210090868"]},{"id":"https://openalex.org/I92039509","display_name":"Guangzhou Medical University","ror":"https://ror.org/00zat6v61","country_code":"CN","type":"education","lineage":["https://openalex.org/I92039509"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deji Chen","raw_affiliation_strings":["Department of Radiology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China","The Second Affiliated Hospital of Guangzhou Medical Univ. (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I4210090868"]},{"raw_affiliation_string":"The Second Affiliated Hospital of Guangzhou Medical Univ. (China)","institution_ids":["https://openalex.org/I4210090868","https://openalex.org/I92039509"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100731770","display_name":"Zhenfeng Zhang","orcid":"https://orcid.org/0000-0001-5621-9755","observed_orcids":["https://orcid.org/0000-0001-5621-9755"]},"institutions":[{"id":"https://openalex.org/I4210090868","display_name":"Second Affiliated Hospital of Guangzhou Medical University","ror":"https://ror.org/00a98yf63","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210090868"]},{"id":"https://openalex.org/I92039509","display_name":"Guangzhou Medical University","ror":"https://ror.org/00zat6v61","country_code":"CN","type":"education","lineage":["https://openalex.org/I92039509"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenfeng Zhang","raw_affiliation_strings":["Department of Radiology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China","The Second Affiliated Hospital of Guangzhou Medical Univ. (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I4210090868"]},{"raw_affiliation_string":"The Second Affiliated Hospital of Guangzhou Medical Univ. (China)","institution_ids":["https://openalex.org/I4210090868","https://openalex.org/I92039509"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083707303","display_name":"Baowei Fei","orcid":"https://orcid.org/0000-0002-9123-9484","observed_orcids":["https://orcid.org/0000-0002-9123-9484"]},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]},{"id":"https://openalex.org/I867280407","display_name":"The University of Texas Southwestern Medical Center","ror":"https://ror.org/05byvp690","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I867280407"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Baowei Fei","raw_affiliation_strings":["Department of Bioengineering, University of Texas at Dallas, Richardson, TX","Department of Radiology and Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX","The Univ. of Texas at Dallas (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Bioengineering, University of Texas at Dallas, Richardson, TX","institution_ids":["https://openalex.org/I162577319"]},{"raw_affiliation_string":"Department of Radiology and Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX","institution_ids":["https://openalex.org/I867280407"]},{"raw_affiliation_string":"The Univ. of Texas at Dallas (United States)","institution_ids":["https://openalex.org/I162577319"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.764,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.68770512,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":"11314","issue":null,"first_page":"131","last_page":"131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.0,"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/T10862","display_name":"AI in cancer detection","score":0.0,"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/siamese-network","display_name":"Siamese network","score":0.9480000138282776},{"id":"https://openalex.org/keywords/radiomic-features","display_name":"radiomic features","score":0.890999972820282},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"breast cancer","score":0.8930000066757202},{"id":"https://openalex.org/keywords/granulomatous-lung-disease","display_name":"granulomatous lung disease","score":0.6340000033378601},{"id":"https://openalex.org/keywords/t2-mri","display_name":"T2* MRI","score":0.9110000133514404},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.33000001311302185}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7514358758926392},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7447969913482666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6944722533226013},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5964783430099487},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5531913042068481},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5464401245117188},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5253219604492188},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4701920747756958},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.45240694284439087},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.42393913865089417},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06929799914360046},{"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":3,"locations":[{"id":"doi:10.1117/12.2549389","doi":"https://doi.org/10.1117/12.2549389","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2549389","pdf_url":null,"source":{"id":"https://openalex.org/S4363606689","display_name":"SPIE Medical Imaging: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: Computer-Aided Diagnosis","raw_type":"proceedings-article"},{"id":"pmid:32528215","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32528215","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,"listed_in":[],"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":"Proceedings of SPIE--the International Society for Optical Engineering","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7288755","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7288755","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC7288755/pdf/nihms-1592314.pdf","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,"listed_in":[],"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":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Proc SPIE Int Soc Opt Eng","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:7288755","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7288755","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC7288755/pdf/nihms-1592314.pdf","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,"listed_in":[],"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":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Proc SPIE Int Soc Opt Eng","raw_type":"Text"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.9476000070571899}],"study_designs":[],"awards":[{"id":"https://openalex.org/G1086587290","display_name":"Image-guided Intravascular Robotic System for Mitral Valve Repair and Implants","funder_award_id":"R01HL140325","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"},{"id":"https://openalex.org/G3692936707","display_name":"MOLECULAR IMAGING DIRECTED, 3D ULTRASOUND-GUIDED, BIOPSY SYSTEM","funder_award_id":"R01CA156775","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"},{"id":"https://openalex.org/G4226007231","display_name":"STAN-CT: Standardization and Normalization of CT images for Lung Cancer Patients","funder_award_id":"R21CA231911","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"},{"id":"https://openalex.org/G4945154444","display_name":"ACADEMIC-INDUSTRIAL PARTNERSHIP FOR TRANSLATION OF PET/TRUS GUIDED INTERVENTION","funder_award_id":"R01CA204254","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"},{"id":"https://openalex.org/G5341426523","display_name":"Smart Surgical Microscope Powered by AI Technology and Hyperspectral Imaging","funder_award_id":"RP190588","funder_id":"https://openalex.org/F4320308129","funder_display_name":"Cancer Prevention and Research Institute of Texas"}],"funders":[{"id":"https://openalex.org/F4320308129","display_name":"Cancer Prevention and Research Institute of Texas","ror":"https://ror.org/0003xa228"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337338","display_name":"National Heart, Lung, and Blood Institute","ror":"https://ror.org/012pb6c26"},{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3011632279.pdf","grobid_xml":"https://content.openalex.org/works/W3011632279.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W2103004421","https://openalex.org/W2581082771","https://openalex.org/W2752747624","https://openalex.org/W2780186312","https://openalex.org/W2793661135","https://openalex.org/W2900954917","https://openalex.org/W2901381629","https://openalex.org/W2903559330"],"related_works":["https://openalex.org/W4220660589","https://openalex.org/W2977514815","https://openalex.org/W4297404778","https://openalex.org/W4399971784","https://openalex.org/W3124614752","https://openalex.org/W4408520438","https://openalex.org/W4408520433","https://openalex.org/W3216823841","https://openalex.org/W4414438002","https://openalex.org/W3165125143"],"abstract_inverted_index":{"This":[0,177],"study":[1],"demonstrates":[2],"that":[3],"a":[4,7,30,76,132],"variant":[5],"of":[6,43,145,172,190],"Siamese":[8,133,167,220,232],"neural":[9,134,233],"network":[10,168,221,234],"architecture":[11,235],"is":[12,178],"more":[13],"effective":[14],"at":[15],"classifying":[16],"highdimensional":[17],"radiomic":[18,85,89],"features":[19,90,94,102,114,126,141,150,208,214],"(extracted":[20],"from":[21,95,215],"T2":[22,50],"MRI":[23],"images)":[24],"than":[25,226],"traditional":[26],"models,":[27],"such":[28],"as":[29],"Support":[31],"Vector":[32],"Machine":[33],"or":[34,224],"Discriminant":[35,184],"Analysis.":[36],"Ninety-nine":[37],"female":[38],"patients,":[39],"between":[40,120],"the":[41,55,80,121,143,148,152,157,161,166,195,205,210,219,227],"ages":[42],"20":[44,101],"and":[45,67,79,174,192,209],"48,":[46],"were":[47,57,73,82,127],"imaged":[48],"with":[49,63,69,100,151,246],"MRI.":[51],"Using":[52],"biopsy":[53],"pathology,":[54],"patients":[56],"separated":[58],"into":[59],"two":[60,122,162,196],"groups:":[61],"those":[62,68],"breast":[64],"cancer":[65],"(N=55)":[66],"GLM":[70],"(N=44).":[71],"Lesions":[72],"segmented":[74],"by":[75],"trained":[77],"radiologist":[78],"ROIs":[81],"used":[83,111,129],"for":[84,194],"feature":[86,164,198],"extraction.":[87],"The":[88,136,230],"include":[91],"536":[92],"published":[93],"Aerts":[96,216],"et":[97,217],"al.,":[98,218],"along":[99],"recurrent":[103,207],"quantification":[104],"analysis":[105],"features.":[106],"A":[107],"Student":[108],"T-Test":[109],"was":[110,142],"to":[112,116,130,139,180,204,248],"select":[113],"found":[115],"be":[117],"statistically":[118],"significant":[119,213],"patient":[123],"groups.":[124],"These":[125],"then":[128],"train":[131],"network.":[135],"label":[137,144],"given":[138],"test":[140,149],"whichever":[146],"class":[147],"highest":[153],"percentile":[154],"similarity":[155],"within":[156],"training":[158],"group.":[159],"Within":[160],"highest-dimensional":[163],"sets,":[165],"produced":[169,187],"an":[170,188],"AUC":[171,189],"0.853":[173],"0.894,":[175],"respectively.":[176],"compared":[179],"best":[181],"non-Siamese":[182],"model,":[183],"Analysis,":[185],"which":[186],"0.823":[191],"0.836":[193],"respective":[197],"sets.":[199],"However,":[200],"when":[201],"it":[202],"came":[203],"lower-dimensional":[206],"top-20":[211],"most":[212],"performed":[222],"on-par":[223],"worse":[225],"competing":[228,238],"models.":[229],"proposed":[231],"can":[236],"outperform":[237],"other":[239],"models":[240],"in":[241],"high-dimensional,":[242],"low-sample":[243],"size":[244],"spaces":[245],"regards":[247],"tabular":[249],"data.":[250]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2020-03-23T00:00:00"}