{"id":"https://openalex.org/W4308237331","doi":"https://doi.org/10.1109/icip46576.2022.9897282","title":"Measurably Stronger Explanation Reliability Via Model Canonization","display_name":"Measurably Stronger Explanation Reliability Via Model Canonization","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308237331","doi":"https://doi.org/10.1109/icip46576.2022.9897282"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897282","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5094255745","display_name":"Franz Motzkus","orcid":"https://orcid.org/0009-0009-4362-7907"},"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"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Franz Motzkus","raw_affiliation_strings":["Fraunhofer Heinrich Hertz Institute,Department of Artificial Intelligence,Berlin,Germany,10587"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Heinrich Hertz Institute,Department of Artificial Intelligence,Berlin,Germany,10587","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054487386","display_name":"Leander Weber","orcid":"https://orcid.org/0000-0003-2995-6914"},"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"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Leander Weber","raw_affiliation_strings":["Fraunhofer Heinrich Hertz Institute,Department of Artificial Intelligence,Berlin,Germany,10587"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Heinrich Hertz Institute,Department of Artificial Intelligence,Berlin,Germany,10587","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017608155","display_name":"Sebastian Lapuschkin","orcid":"https://orcid.org/0000-0002-0762-7258"},"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"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian Lapuschkin","raw_affiliation_strings":["Fraunhofer Heinrich Hertz Institute,Department of Artificial Intelligence,Berlin,Germany,10587"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Heinrich Hertz Institute,Department of Artificial Intelligence,Berlin,Germany,10587","institution_ids":["https://openalex.org/I2800274787"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2800274787"],"apc_list":null,"apc_paid":null,"fwci":0.6748,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70613128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"516","last_page":"520"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9980999827384949,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9829000234603882,"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/attribution","display_name":"Attribution","score":0.8808674812316895},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7040794491767883},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.6910514235496521},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6904376149177551},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6775916814804077},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5550640821456909},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4994227886199951},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.122690349817276},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.12246167659759521},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.0894496738910675}],"concepts":[{"id":"https://openalex.org/C143299363","wikidata":"https://www.wikidata.org/wiki/Q900584","display_name":"Attribution","level":2,"score":0.8808674812316895},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7040794491767883},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.6910514235496521},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6904376149177551},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6775916814804077},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5550640821456909},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4994227886199951},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.122690349817276},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.12246167659759521},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0894496738910675},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip46576.2022.9897282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897282","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/444918","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/444918","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":null,"raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1787224781","https://openalex.org/W2116614419","https://openalex.org/W2117539524","https://openalex.org/W2150165932","https://openalex.org/W2194775991","https://openalex.org/W2240067561","https://openalex.org/W2346578521","https://openalex.org/W2776207810","https://openalex.org/W2948224363","https://openalex.org/W2972914268","https://openalex.org/W2994881943","https://openalex.org/W3007664990","https://openalex.org/W3091589898","https://openalex.org/W3132191748","https://openalex.org/W3134751001","https://openalex.org/W4322759118","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6677995690","https://openalex.org/W6681608319","https://openalex.org/W6685133223","https://openalex.org/W6695661434","https://openalex.org/W6704488215","https://openalex.org/W6734194636","https://openalex.org/W6736518430","https://openalex.org/W6774156826","https://openalex.org/W6797666818"],"related_works":["https://openalex.org/W2035546108","https://openalex.org/W2376361520","https://openalex.org/W2133328864","https://openalex.org/W2093949997","https://openalex.org/W2570200690","https://openalex.org/W2389726244","https://openalex.org/W3030478661","https://openalex.org/W2323536476","https://openalex.org/W2104624653","https://openalex.org/W2128730003"],"abstract_inverted_index":{"While":[0],"rule-based":[1,64,114],"attribution":[2,81],"methods":[3],"have":[4,94],"proven":[5],"useful":[6],"for":[7,11,131],"providing":[8],"local":[9],"explanations":[10],"Deep":[12],"Neural":[13],"Networks,":[14],"explaining":[15],"modern":[16],"and":[17,66,91,118,124],"more":[18],"varied":[19],"network":[20,42,52,111,135],"architectures":[21],"yields":[22],"new":[23],"challenges":[24],"in":[25],"generating":[26],"trustworthy":[27],"explanations,":[28],"since":[29],"the":[30,49,61,87,107,127],"established":[31,80],"rule":[32],"sets":[33],"might":[34],"not":[35],"be":[36,84],"sufficient":[37],"or":[38],"applicable":[39],"to":[40,48,78,113],"novel":[41],"structures.":[43],"As":[44],"an":[45],"elegant":[46],"solution":[47],"above":[50],"issue,":[51],"canonization":[53,90,112],"has":[54],"recently":[55],"been":[56,98],"introduced.":[57],"This":[58],"procedure":[59],"leverages":[60],"implementation-dependency":[62],"of":[63,75,89,110],"attributions":[65,115],"restructures":[67],"a":[68,71],"model":[69],"into":[70],"functionally":[72],"identical":[73],"equivalent":[74],"alternative":[76],"design":[77],"which":[79],"rules":[82],"can":[83],"applied.":[85],"However,":[86],"idea":[88],"its":[92],"usefulness":[93],"so":[95],"far":[96],"only":[97],"explored":[99],"qualitatively.":[100],"In":[101],"this":[102],"work,":[103],"we":[104],"quantitatively":[105],"verify":[106],"beneficial":[108],"effects":[109],"on":[116],"VGG-16":[117],"ResNet18":[119],"models":[120],"with":[121],"BatchNorm":[122],"layers":[123],"thus":[125],"extend":[126],"current":[128],"best":[129],"practices":[130],"obtaining":[132],"reliable":[133],"neural":[134],"explanations.":[136]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}