{"id":"https://openalex.org/W4283692816","doi":"https://doi.org/10.1109/msp.2022.3153277","title":"Toward Explainable Artificial Intelligence for Regression Models: A methodological perspective","display_name":"Toward Explainable Artificial Intelligence for Regression Models: A methodological perspective","publication_year":2022,"publication_date":"2022-06-28","ids":{"openalex":"https://openalex.org/W4283692816","doi":"https://doi.org/10.1109/msp.2022.3153277"},"language":"en","primary_location":{"id":"doi:10.1109/msp.2022.3153277","is_oa":false,"landing_page_url":"https://doi.org/10.1109/msp.2022.3153277","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"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075179980","display_name":"Simon Letzgus","orcid":"https://orcid.org/0000-0003-0044-8959"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Simon Letzgus","raw_affiliation_strings":["Energy EngineeringUniversität Stuttgart"],"affiliations":[{"raw_affiliation_string":"Energy EngineeringUniversität Stuttgart","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015055839","display_name":"Patrick Wagner","orcid":"https://orcid.org/0000-0001-8105-653X"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]},{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Patrick Wagner","raw_affiliation_strings":["Computer Science, Technische Universität Berlin, Berlin","Artificial Intelligence and Explainable AI Group, Fraunhofer Heinrich Hertz Institute, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Computer Science, Technische Universität Berlin, Berlin","institution_ids":["https://openalex.org/I4577782"]},{"raw_affiliation_string":"Artificial Intelligence and Explainable AI Group, Fraunhofer Heinrich Hertz Institute, Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052887904","display_name":"Jonas Lederer","orcid":"https://orcid.org/0000-0002-8224-1486"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jonas Lederer","raw_affiliation_strings":["Machine Learning Group, Technische Universität Berlin, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Machine Learning Group, Technische Universität Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026451495","display_name":"Wojciech Samek","orcid":"https://orcid.org/0000-0002-6283-3265"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]},{"id":"https://openalex.org/I4401727010","display_name":"Berlin Institute for the Foundations of Learning and Data","ror":"https://ror.org/05dsfb086","country_code":null,"type":"facility","lineage":["https://openalex.org/I4401727010","https://openalex.org/I4577782","https://openalex.org/I7877124"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wojciech Samek","raw_affiliation_strings":["Artificial Intelligence and Explainable AI Group, Fraunhofer Heinrich Hertz Institute, Berlin, Germany","Associated Faculty Member, Berlin Institute for the Foundations of Learning and Data and the European Laboratory for Learning and Intelligent Systems Unit Berlin, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence and Explainable AI Group, Fraunhofer Heinrich Hertz Institute, Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]},{"raw_affiliation_string":"Associated Faculty Member, Berlin Institute for the Foundations of Learning and Data and the European Laboratory for Learning and Intelligent Systems Unit Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4401727010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107838719","display_name":"Klaus\u2010Robert M\u00fcller","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]},{"id":"https://openalex.org/I23277345","display_name":"Berlin-Brandenburg Academy of Sciences and Humanities","ror":"https://ror.org/05jgq9443","country_code":"DE","type":"education","lineage":["https://openalex.org/I23277345"]},{"id":"https://openalex.org/I4210087847","display_name":"Albert Ellis Institute","ror":"https://ror.org/0027wxf59","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210087847"]},{"id":"https://openalex.org/I4210113798","display_name":"Max Planck Institute for the Study of Societies","ror":"https://ror.org/01dwpbz64","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210113798"]},{"id":"https://openalex.org/I2800156163","display_name":"German National Academy of Sciences Leopoldina","ror":"https://ror.org/03v0k6341","country_code":"DE","type":"other","lineage":["https://openalex.org/I2800156163"]},{"id":"https://openalex.org/I1329254379","display_name":"National Academy of Engineering","ror":"https://ror.org/03bdhq605","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1329254379","https://openalex.org/I197604219"]},{"id":"https://openalex.org/I149899117","display_name":"Max Planck Society","ror":"https://ror.org/01hhn8329","country_code":"DE","type":"funder","lineage":["https://openalex.org/I149899117"]}],"countries":["DE","KR","US"],"is_corresponding":false,"raw_author_name":"Klaus-Robert Muller","raw_affiliation_strings":["Computer ScienceTechnische Universität Karlsruhe","Berlin Machine Learning Center, Berlin","Distinguished Professor, Korea University, Seoul, South Korea","ELLIS Unit, Berlin","Berlin Big Data Center, Berlin, Germany","National Academy of Science and Engineering","External Scientific Member, Max Planck Society","German National Academy of Sciences, Leopoldina","Berlin Brandenburg Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Computer ScienceTechnische Universität Karlsruhe","institution_ids":[]},{"raw_affiliation_string":"Berlin Machine Learning Center, Berlin","institution_ids":[]},{"raw_affiliation_string":"Distinguished Professor, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"ELLIS Unit, Berlin","institution_ids":["https://openalex.org/I4210087847"]},{"raw_affiliation_string":"Berlin Big Data Center, Berlin, Germany","institution_ids":[]},{"raw_affiliation_string":"National Academy of Science and Engineering","institution_ids":["https://openalex.org/I1329254379"]},{"raw_affiliation_string":"External Scientific Member, Max Planck Society","institution_ids":["https://openalex.org/I4210113798","https://openalex.org/I149899117"]},{"raw_affiliation_string":"German National Academy of Sciences, Leopoldina","institution_ids":["https://openalex.org/I2800156163"]},{"raw_affiliation_string":"Berlin Brandenburg Academy of Sciences","institution_ids":["https://openalex.org/I23277345"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026240645","display_name":"Gr\u00e9goire Montavon","orcid":"https://orcid.org/0000-0001-7243-6186"},"institutions":[{"id":"https://openalex.org/I4401727010","display_name":"Berlin Institute for the Foundations of Learning and Data","ror":"https://ror.org/05dsfb086","country_code":null,"type":"facility","lineage":["https://openalex.org/I4401727010","https://openalex.org/I4577782","https://openalex.org/I7877124"]},{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gregoire Montavon","raw_affiliation_strings":["Machine Learning, Technische Universität Berlin, Berlin, Germany","Machine Learning Group, Berlin Institute for the Foundations of Learning and Data, Berlin"],"affiliations":[{"raw_affiliation_string":"Machine Learning, Technische Universität Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]},{"raw_affiliation_string":"Machine Learning Group, Berlin Institute for the Foundations of Learning and Data, Berlin","institution_ids":["https://openalex.org/I4401727010"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5075179980"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":12.9112,"has_fulltext":false,"cited_by_count":102,"citation_normalized_percentile":{"value":0.98994039,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"39","issue":"4","first_page":"40","last_page":"58"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9997000098228455,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9997000098228455,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9916999936103821,"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":0.9803000092506409,"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":0.734776496887207},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.723878026008606},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.641520619392395},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.6272491216659546},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5969460606575012},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5864759087562561},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5613282322883606},{"id":"https://openalex.org/keywords/predictive-power","display_name":"Predictive power","score":0.4413778781890869},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4410073459148407},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4191855788230896},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.4167509973049164},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1253402829170227},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10497123003005981},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1000957190990448},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.06026372313499451}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.734776496887207},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.723878026008606},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.641520619392395},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.6272491216659546},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5969460606575012},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5864759087562561},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5613282322883606},{"id":"https://openalex.org/C2778136018","wikidata":"https://www.wikidata.org/wiki/Q10350689","display_name":"Predictive power","level":2,"score":0.4413778781890869},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4410073459148407},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4191855788230896},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.4167509973049164},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1253402829170227},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10497123003005981},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1000957190990448},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.06026372313499451},{"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/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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":2,"locations":[{"id":"doi:10.1109/msp.2022.3153277","is_oa":false,"landing_page_url":"https://doi.org/10.1109/msp.2022.3153277","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":"pmh:oai:null:publica/429387","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/429387","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"journal article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6204364813","display_name":null,"funder_award_id":"EXC 2046/1","funder_id":"https://openalex.org/F4320330291","funder_display_name":"Berlin Mathematics Research Center MATH+"}],"funders":[{"id":"https://openalex.org/F4320330291","display_name":"Berlin Mathematics Research Center MATH+","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":118,"referenced_works":["https://openalex.org/W1493372406","https://openalex.org/W1514535095","https://openalex.org/W1686810756","https://openalex.org/W1787224781","https://openalex.org/W1849277567","https://openalex.org/W1996796871","https://openalex.org/W2009662043","https://openalex.org/W2036565334","https://openalex.org/W2102201073","https://openalex.org/W2104489082","https://openalex.org/W2108598243","https://openalex.org/W2117539524","https://openalex.org/W2123045220","https://openalex.org/W2150165932","https://openalex.org/W2158413235","https://openalex.org/W2240067561","https://openalex.org/W2282821441","https://openalex.org/W2295107390","https://openalex.org/W2527189750","https://openalex.org/W2551974706","https://openalex.org/W2585152223","https://openalex.org/W2592895748","https://openalex.org/W2594633041","https://openalex.org/W2657631929","https://openalex.org/W2726670313","https://openalex.org/W2776207810","https://openalex.org/W2778051509","https://openalex.org/W2804236575","https://openalex.org/W2807323414","https://openalex.org/W2891365537","https://openalex.org/W2897784558","https://openalex.org/W2914124878","https://openalex.org/W2921283045","https://openalex.org/W2921802966","https://openalex.org/W2923693308","https://openalex.org/W2945526235","https://openalex.org/W2945976633","https://openalex.org/W2946817881","https://openalex.org/W2949271011","https://openalex.org/W2951306478","https://openalex.org/W2962851944","https://openalex.org/W2962862931","https://openalex.org/W2963125461","https://openalex.org/W2963424533","https://openalex.org/W2963483561","https://openalex.org/W2964254585","https://openalex.org/W2972317931","https://openalex.org/W2972548215","https://openalex.org/W2972854536","https://openalex.org/W2973136764","https://openalex.org/W2981731882","https://openalex.org/W2988055229","https://openalex.org/W2999615587","https://openalex.org/W3000716014","https://openalex.org/W3007590609","https://openalex.org/W3011005294","https://openalex.org/W3033959096","https://openalex.org/W3035559885","https://openalex.org/W3037517858","https://openalex.org/W3089028909","https://openalex.org/W3092299393","https://openalex.org/W3101975351","https://openalex.org/W3102818708","https://openalex.org/W3104644561","https://openalex.org/W3107600318","https://openalex.org/W3108823960","https://openalex.org/W3124474911","https://openalex.org/W3129166376","https://openalex.org/W3132191748","https://openalex.org/W3132956480","https://openalex.org/W3133931590","https://openalex.org/W3134751001","https://openalex.org/W3135345798","https://openalex.org/W3150957536","https://openalex.org/W3159653252","https://openalex.org/W3171152739","https://openalex.org/W3171209108","https://openalex.org/W3171884590","https://openalex.org/W3175532569","https://openalex.org/W3178108585","https://openalex.org/W3191346550","https://openalex.org/W4213256337","https://openalex.org/W4255949318","https://openalex.org/W4287828570","https://openalex.org/W4293861706","https://openalex.org/W4297752781","https://openalex.org/W4297772692","https://openalex.org/W4300537282","https://openalex.org/W4322759118","https://openalex.org/W6629461549","https://openalex.org/W6630875275","https://openalex.org/W6637373629","https://openalex.org/W6677995690","https://openalex.org/W6681608319","https://openalex.org/W6682385587","https://openalex.org/W6683645957","https://openalex.org/W6685133223","https://openalex.org/W6717255582","https://openalex.org/W6730035438","https://openalex.org/W6734194636","https://openalex.org/W6737947904","https://openalex.org/W6738146442","https://openalex.org/W6739575509","https://openalex.org/W6744039455","https://openalex.org/W6745730051","https://openalex.org/W6750391026","https://openalex.org/W6758132781","https://openalex.org/W6758777370","https://openalex.org/W6763057299","https://openalex.org/W6763832948","https://openalex.org/W6764249507","https://openalex.org/W6767288045","https://openalex.org/W6771809849","https://openalex.org/W6783661605","https://openalex.org/W6786498300","https://openalex.org/W6793797138","https://openalex.org/W6797537360","https://openalex.org/W6797666818"],"related_works":["https://openalex.org/W31220157","https://openalex.org/W2312753042","https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W2165884543","https://openalex.org/W3186837933","https://openalex.org/W2368989808","https://openalex.org/W1969346022","https://openalex.org/W2034959125","https://openalex.org/W2355687852"],"abstract_inverted_index":{"In":[0,76],"addition":[1],"to":[2,70],"the":[3,81,115],"impressive":[4],"predictive":[5],"power":[6],"of":[7,22,85,102],"machine":[8],"learning":[9,25],"(ML)":[10],"models,":[11,26],"more":[12],"recently,":[13],"explanation":[14],"methods":[15],"have":[16,57],"emerged":[17],"that":[18],"enable":[19],"an":[20],"interpretation":[21],"complex":[23],"nonlinear":[24],"such":[27,51],"as":[28],"deep":[29],"neural":[30],"networks.":[31],"Gaining":[32],"a":[33],"better":[34],"understanding":[35],"is":[36],"especially":[37],"important,":[38],"e.g.,":[39],"for":[40,61,72,87,98,114],"safety-critical":[41],"ML":[42],"applications":[43],"or":[44],"medical":[45],"diagnostics":[46],"and":[47,89,96,109],"so":[48],"on.":[49],"Although":[50],"explainable":[52],"artificial":[53],"intelligence":[54],"(XAI)":[55],"techniques":[56],"reached":[58],"significant":[59],"popularity":[60],"classifiers,":[62],"thus":[63],"far,":[64],"little":[65],"attention":[66],"has":[67],"been":[68],"devoted":[69],"XAI":[71,86],"regression":[73,88,107],"models":[74],"(XAIR).":[75],"this":[77],"review,":[78],"we":[79],"clarify":[80],"fundamental":[82],"conceptual":[83],"differences":[84],"classification":[90],"tasks,":[91],"establish":[92],"novel":[93],"theoretical":[94],"insights":[95],"analysis":[97],"XAIR,":[99],"provide":[100],"demonstrations":[101],"XAIR":[103],"on":[104],"genuine":[105],"practical":[106],"problems,":[108],"finally,":[110],"discuss":[111],"challenges":[112],"remaining":[113],"field.":[116]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":33},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":35},{"year":2022,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2022-06-30T00:00:00"}