{"id":"https://openalex.org/W4283696279","doi":"https://doi.org/10.1109/msp.2022.3163870","title":"Reproducibility in Matrix and Tensor Decompositions: Focus on model match, interpretability, and uniqueness","display_name":"Reproducibility in Matrix and Tensor Decompositions: Focus on model match, interpretability, and uniqueness","publication_year":2022,"publication_date":"2022-06-28","ids":{"openalex":"https://openalex.org/W4283696279","doi":"https://doi.org/10.1109/msp.2022.3163870","pmid":"https://pubmed.ncbi.nlm.nih.gov/36337436"},"language":"en","primary_location":{"id":"doi:10.1109/msp.2022.3163870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/msp.2022.3163870","pdf_url":null,"source":{"id":"https://openalex.org/S120977877","display_name":"IEEE Signal Processing Magazine","issn_l":"1053-5888","issn":["1053-5888","1558-0792"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Magazine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9635492","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060798483","display_name":"T\u00fclay Adal\u0131","orcid":"https://orcid.org/0000-0003-0594-2796"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tulay Adali","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore, Maryland, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore, Maryland, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028042731","display_name":"Furkan Kantar","orcid":null},"institutions":[{"id":"https://openalex.org/I126744593","display_name":"University of Maryland, Baltimore","ror":"https://ror.org/04rq5mt64","country_code":"US","type":"education","lineage":["https://openalex.org/I126744593"]},{"id":"https://openalex.org/I4210121626","display_name":"Signal Processing (United States)","ror":"https://ror.org/021gzyw51","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Furkan Kantar","raw_affiliation_strings":["Machine Learning for Signal Processing Lab, University of Maryland, Baltimore, Maryland, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning for Signal Processing Lab, University of Maryland, Baltimore, Maryland, USA","institution_ids":["https://openalex.org/I126744593","https://openalex.org/I4210121626"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086200651","display_name":"M. A. B. S. Akhonda","orcid":"https://orcid.org/0000-0003-0826-453X"},"institutions":[{"id":"https://openalex.org/I126744593","display_name":"University of Maryland, Baltimore","ror":"https://ror.org/04rq5mt64","country_code":"US","type":"education","lineage":["https://openalex.org/I126744593"]},{"id":"https://openalex.org/I4210121626","display_name":"Signal Processing (United States)","ror":"https://ror.org/021gzyw51","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad Abu Baker Siddique Akhonda","raw_affiliation_strings":["Machine Learning for Signal Processing Lab, University of Maryland, Baltimore, Maryland, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning for Signal Processing Lab, University of Maryland, Baltimore, Maryland, USA","institution_ids":["https://openalex.org/I126744593","https://openalex.org/I4210121626"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009298184","display_name":"Stephen C. Strother","orcid":"https://orcid.org/0000-0002-3198-217X"},"institutions":[{"id":"https://openalex.org/I2802437833","display_name":"Baycrest Hospital","ror":"https://ror.org/03gp5b411","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I2802437833"]},{"id":"https://openalex.org/I4405263474","display_name":"Rotman Research Institute","ror":"https://ror.org/01kvpec59","country_code":"CA","type":"education","lineage":["https://openalex.org/I4405258058","https://openalex.org/I4405263474"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Stephen Strother","raw_affiliation_strings":["Rotman Research Institute, Toronto, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rotman Research Institute, Toronto, Canada","institution_ids":["https://openalex.org/I2802437833","https://openalex.org/I4405263474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032850756","display_name":"Vince D. Calhoun","orcid":"https://orcid.org/0000-0001-9058-0747"},"institutions":[{"id":"https://openalex.org/I4210133909","display_name":"Center for Translational Research in Neuroimaging and Data Science","ror":"https://ror.org/02qx6zf82","country_code":"US","type":"facility","lineage":["https://openalex.org/I130701444","https://openalex.org/I150468666","https://openalex.org/I181565077","https://openalex.org/I4210133909"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vince D. Calhoun","raw_affiliation_strings":["Tri-Institutional Center for Translational Research, Neuroimaging and Data Science, Atlanta, Georgia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tri-Institutional Center for Translational Research, Neuroimaging and Data Science, Atlanta, Georgia, USA","institution_ids":["https://openalex.org/I4210133909"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046236337","display_name":"Evrim Acar","orcid":"https://orcid.org/0000-0002-3737-292X"},"institutions":[{"id":"https://openalex.org/I4210153474","display_name":"Simula Metropolitan Center for Digital Engineering","ror":"https://ror.org/04xtarr15","country_code":"NO","type":"nonprofit","lineage":["https://openalex.org/I184531372","https://openalex.org/I2799829267","https://openalex.org/I4210153474"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Evrim Acar","raw_affiliation_strings":["Chief Research Scientist, Simula Metropolitan Center for Digital Engineering, Oslo, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chief Research Scientist, Simula Metropolitan Center for Digital Engineering, Oslo, Norway","institution_ids":["https://openalex.org/I4210153474"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.8247,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":{"value":0.98126801,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"39","issue":"4","first_page":"8","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/interpretability","display_name":"Interpretability","score":0.9657818078994751},{"id":"https://openalex.org/keywords/uniqueness","display_name":"Uniqueness","score":0.6978803873062134},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5885307788848877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5322681665420532},{"id":"https://openalex.org/keywords/audit","display_name":"Audit","score":0.5234215259552002},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5133587718009949},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.42643052339553833},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.42299801111221313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37122300267219543},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35661977529525757},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3484953045845032},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3299141526222229},{"id":"https://openalex.org/keywords/algebra-over-a-field","display_name":"Algebra over a field","score":0.32704105973243713},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.22438308596611023},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.10379773378372192},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07062321901321411},{"id":"https://openalex.org/keywords/accounting","display_name":"Accounting","score":0.06641453504562378},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.06487789750099182}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9657818078994751},{"id":"https://openalex.org/C2777021972","wikidata":"https://www.wikidata.org/wiki/Q22976830","display_name":"Uniqueness","level":2,"score":0.6978803873062134},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5885307788848877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5322681665420532},{"id":"https://openalex.org/C199521495","wikidata":"https://www.wikidata.org/wiki/Q181487","display_name":"Audit","level":2,"score":0.5234215259552002},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5133587718009949},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.42643052339553833},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.42299801111221313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37122300267219543},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35661977529525757},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3484953045845032},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3299141526222229},{"id":"https://openalex.org/C136119220","wikidata":"https://www.wikidata.org/wiki/Q1000660","display_name":"Algebra over a field","level":2,"score":0.32704105973243713},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.22438308596611023},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.10379773378372192},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07062321901321411},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.06641453504562378},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06487789750099182},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/msp.2022.3163870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/msp.2022.3163870","pdf_url":null,"source":{"id":"https://openalex.org/S120977877","display_name":"IEEE Signal Processing Magazine","issn_l":"1053-5888","issn":["1053-5888","1558-0792"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Magazine","raw_type":"journal-article"},{"id":"pmid:36337436","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36337436","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 signal processing magazine","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9635492","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9635492","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Signal Process Mag","raw_type":"Text"},{"id":"pmh:oai:mdsoar.org:11603/25288","is_oa":false,"landing_page_url":"http://hdl.handle.net/11603/25288","pdf_url":null,"source":{"id":"https://openalex.org/S4306402556","display_name":"Maryland Shared Open Access Repository (USMAI Consortium)","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"doi:10.13016/m29bfh-h2bm","is_oa":true,"landing_page_url":"https://doi.org/10.13016/m29bfh-h2bm","pdf_url":null,"source":{"id":"https://openalex.org/S4306402644","display_name":"Digital Repository at the University of Maryland (University of Maryland College Park)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66946132","host_organization_name":"University of Maryland, College Park","host_organization_lineage":["https://openalex.org/I66946132"],"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":null}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:9635492","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9635492","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Signal Process Mag","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1452663721","display_name":null,"funder_award_id":"R01-MH118695","funder_id":"https://openalex.org/F4320337346","funder_display_name":"National Institute of Mental Health"},{"id":"https://openalex.org/G1949557574","display_name":null,"funder_award_id":"300489","funder_id":"https://openalex.org/F4320323299","funder_display_name":"Norges Forskningsr\u00e5d"},{"id":"https://openalex.org/G6068792115","display_name":null,"funder_award_id":"R01-MH123610","funder_id":"https://openalex.org/F4320337346","funder_display_name":"National Institute of Mental Health"},{"id":"https://openalex.org/G658950412","display_name":null,"funder_award_id":"R01 EB 020407","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G779430096","display_name":null,"funder_award_id":"R01AG073949","funder_id":"https://openalex.org/F4320337337","funder_display_name":"National Institute on Aging"}],"funders":[{"id":"https://openalex.org/F4320306085","display_name":"U.S. Department of Health and Human Services","ror":"https://ror.org/033jnv181"},{"id":"https://openalex.org/F4320323299","display_name":"Norges Forskningsr\u00e5d","ror":"https://ror.org/00epmv149"},{"id":"https://openalex.org/F4320337337","display_name":"National Institute on Aging","ror":"https://ror.org/049v75w11"},{"id":"https://openalex.org/F4320337346","display_name":"National Institute of Mental Health","ror":"https://ror.org/04xeg9z08"},{"id":"https://openalex.org/F4320337363","display_name":"National Institute of Biomedical Imaging and Bioengineering","ror":"https://ror.org/00372qc85"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W67471658","https://openalex.org/W1525270046","https://openalex.org/W1755563775","https://openalex.org/W1814521481","https://openalex.org/W1969082792","https://openalex.org/W1973741448","https://openalex.org/W1985327120","https://openalex.org/W1986589478","https://openalex.org/W1991840148","https://openalex.org/W1994219736","https://openalex.org/W1996309984","https://openalex.org/W1998874027","https://openalex.org/W2008114373","https://openalex.org/W2016444985","https://openalex.org/W2021515139","https://openalex.org/W2024165284","https://openalex.org/W2024232708","https://openalex.org/W2025472057","https://openalex.org/W2045732268","https://openalex.org/W2049241760","https://openalex.org/W2054658115","https://openalex.org/W2057503509","https://openalex.org/W2069767403","https://openalex.org/W2071729267","https://openalex.org/W2072974424","https://openalex.org/W2080233806","https://openalex.org/W2081110264","https://openalex.org/W2082207932","https://openalex.org/W2090664364","https://openalex.org/W2091600538","https://openalex.org/W2095491050","https://openalex.org/W2096710051","https://openalex.org/W2099567248","https://openalex.org/W2100634972","https://openalex.org/W2106221905","https://openalex.org/W2108384452","https://openalex.org/W2115074110","https://openalex.org/W2119741678","https://openalex.org/W2130654277","https://openalex.org/W2140862024","https://openalex.org/W2141224535","https://openalex.org/W2157382843","https://openalex.org/W2160047866","https://openalex.org/W2163112044","https://openalex.org/W2167121025","https://openalex.org/W2168175751","https://openalex.org/W2315452447","https://openalex.org/W2469230926","https://openalex.org/W2556914905","https://openalex.org/W2574646046","https://openalex.org/W2735317774","https://openalex.org/W2744385491","https://openalex.org/W2747936636","https://openalex.org/W2891097454","https://openalex.org/W2893298789","https://openalex.org/W2901478080","https://openalex.org/W2903112826","https://openalex.org/W2912675712","https://openalex.org/W2949982560","https://openalex.org/W2951881727","https://openalex.org/W2972363687","https://openalex.org/W2972441196","https://openalex.org/W2973228325","https://openalex.org/W2985761644","https://openalex.org/W3013688454","https://openalex.org/W3021352772","https://openalex.org/W3022418258","https://openalex.org/W3025431077","https://openalex.org/W3048396787","https://openalex.org/W3087642357","https://openalex.org/W3104577407","https://openalex.org/W4206519735","https://openalex.org/W6602683703","https://openalex.org/W6756956842","https://openalex.org/W6775341171"],"related_works":["https://openalex.org/W2350012146","https://openalex.org/W1993453399","https://openalex.org/W2320758659","https://openalex.org/W2014702954","https://openalex.org/W2044115466","https://openalex.org/W2325254006","https://openalex.org/W2963488231","https://openalex.org/W2222154592","https://openalex.org/W1982488386","https://openalex.org/W2798696987"],"abstract_inverted_index":{"Data-driven":[0],"solutions":[1,65,101],"are":[2,25,107],"playing":[3],"an":[4],"increasingly":[5],"important":[6],"role":[7],"in":[8,38,70],"numerous":[9],"practical":[10],"problems":[11],"across":[12],"multiple":[13],"disciplines.":[14],"The":[15],"shift":[16],"from":[17],"the":[18,30,33,41,64,112],"traditional":[19],"model-driven":[20],"approaches":[21],"to":[22,43,67,76,98,102,111],"those":[23],"that":[24,63,71],"data":[26],"driven":[27],"naturally":[28],"emphasizes":[29],"importance":[31],"of":[32,35,115],"explainability":[34],"solutions,":[36],"as,":[37],"this":[39],"case,":[40],"connection":[42],"a":[44,53],"physical":[45],"model":[46],"is":[47,52],"often":[48],"not":[49],"obvious.":[50],"Explainability":[51],"broad":[54],"umbrella":[55],"and":[56,82,105],"includes":[57],"interpretability,":[58,92],"but":[59],"it":[60],"also":[61],"implies":[62],"need":[66],"be":[68,74],"complete,":[69],"one":[72],"should":[73],"able":[75],"\u201caudit\u201d":[77],"them,":[78],"ask":[79],"appropriate":[80],"questions,":[81],"hence":[83],"gain":[84],"further":[85],"insight":[86],"about":[87],"their":[88],"inner":[89],"workings[1].":[90],"Thus,":[91],"reproducibility,":[93],"and,":[94],"ultimately,":[95],"our":[96],"ability":[97],"generalize":[99],"these":[100],"unseen":[103],"scenarios":[104],"situations":[106],"all":[108],"strongly":[109],"tied":[110],"starting":[113],"point":[114],"explainability.":[116]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":5}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}