{"id":"https://openalex.org/W4288055506","doi":"https://doi.org/10.48550/arxiv.2207.11564","title":"A general-purpose method for applying Explainable AI for Anomaly Detection","display_name":"A general-purpose method for applying Explainable AI for Anomaly Detection","publication_year":2022,"publication_date":"2022-07-23","ids":{"openalex":"https://openalex.org/W4288055506","doi":"https://doi.org/10.48550/arxiv.2207.11564"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2207.11564","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2207.11564","pdf_url":"https://arxiv.org/pdf/2207.11564","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2207.11564","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011236651","display_name":"John W. Sipple","orcid":"https://orcid.org/0000-0003-4057-8344"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sipple, John","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5111635384","display_name":"Abdou Youssef","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Youssef, Abdou","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011236651"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9972000122070312,"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":0.9972000122070312,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9896000027656555,"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":0.9776999950408936,"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/interpretability","display_name":"Interpretability","score":0.9794273376464844},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.745448112487793},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7239209413528442},{"id":"https://openalex.org/keywords/attribution","display_name":"Attribution","score":0.7219241857528687},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6915785074234009},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6314802169799805},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.5569552183151245},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5513477325439453},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5398939847946167},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3330520689487457},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.18192455172538757},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.06211748719215393}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9794273376464844},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.745448112487793},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7239209413528442},{"id":"https://openalex.org/C143299363","wikidata":"https://www.wikidata.org/wiki/Q900584","display_name":"Attribution","level":2,"score":0.7219241857528687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6915785074234009},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6314802169799805},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5569552183151245},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5513477325439453},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5398939847946167},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3330520689487457},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18192455172538757},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.06211748719215393},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2207.11564","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2207.11564","pdf_url":"https://arxiv.org/pdf/2207.11564","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2207.11564","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2207.11564","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2207.11564","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2207.11564","pdf_url":"https://arxiv.org/pdf/2207.11564","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969","https://openalex.org/W2972971679"],"abstract_inverted_index":{"The":[0],"need":[1],"for":[2,69],"explainable":[3],"AI":[4],"(XAI)":[5],"is":[6,44,51],"well":[7],"established":[8],"but":[9],"relatively":[10],"little":[11],"has":[12],"been":[13],"published":[14],"outside":[15],"of":[16,36],"the":[17,34,61],"supervised":[18],"learning":[19],"paradigm.":[20],"This":[21],"paper":[22],"focuses":[23],"on":[24,58,89],"a":[25,53,66],"principled":[26],"approach":[27],"to":[28,33,64],"applying":[29],"explainability":[30,43],"and":[31,49,56,79],"interpretability":[32,50],"task":[35,48],"unsupervised":[37],"anomaly":[38],"detection.":[39],"We":[40,75],"argue":[41],"that":[42,85],"principally":[45,52],"an":[46],"algorithmic":[47],"cognitive":[54,62],"task,":[55],"draw":[57],"insights":[59],"from":[60],"sciences":[63],"propose":[65],"general-purpose":[67],"method":[68,87],"practical":[70],"diagnosis":[71],"using":[72,81],"explained":[73],"anomalies.":[74],"define":[76],"Attribution":[77],"Error,":[78],"demonstrate,":[80],"real-world":[82],"labeled":[83],"datasets,":[84],"our":[86],"based":[88],"Integrated":[90],"Gradients":[91],"(IG)":[92],"yields":[93],"significantly":[94],"lower":[95],"attribution":[96],"errors":[97],"than":[98],"alternative":[99],"methods.":[100]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2022-07-28T00:00:00"}
