{"id":"https://openalex.org/W2913814504","doi":"https://doi.org/10.1109/bigdata.2018.8622424","title":"Coupled IGMM-GANs for improved generative adversarial anomaly detection","display_name":"Coupled IGMM-GANs for improved generative adversarial anomaly detection","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2913814504","doi":"https://doi.org/10.1109/bigdata.2018.8622424","mag":"2913814504"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2018.8622424","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622424","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://scholarworks.indianapolis.iu.edu/bitstreams/22e876e9-62a4-4ad8-aba8-621a089d8ade/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084250568","display_name":"Kathryn Gray","orcid":null},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kathryn Gray","raw_affiliation_strings":["Dept. of Applied Math. and Computer Science, University of Colorado, Boulder"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Applied Math. and Computer Science, University of Colorado, Boulder","institution_ids":["https://openalex.org/I188538660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089750404","display_name":"Daniel Smolyak","orcid":"https://orcid.org/0000-0003-3860-2181"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Smolyak","raw_affiliation_strings":["Dept. of Computer Science, University of Maryland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University of Maryland","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044176153","display_name":"Sarkhan Badirli","orcid":"https://orcid.org/0000-0001-8440-6830"},"institutions":[{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sarkhan Badirli","raw_affiliation_strings":["Dept. of Computer Science, Indiana University\u2014Purdue University, Indianapolis"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Indiana University\u2014Purdue University, Indianapolis","institution_ids":["https://openalex.org/I55769427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080879125","display_name":"George Mohler","orcid":"https://orcid.org/0000-0003-4293-5106"},"institutions":[{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"George Mohler","raw_affiliation_strings":["Dept. of Computer Science, Indiana University\u2014Purdue University, Indianapolis"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Indiana University\u2014Purdue University, Indianapolis","institution_ids":["https://openalex.org/I55769427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3273,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69841227,"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":"2538","last_page":"2541"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9803000092506409,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9684000015258789,"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/anomaly-detection","display_name":"Anomaly detection","score":0.8787661790847778},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.730303168296814},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.7220805287361145},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6471684575080872},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6350133419036865},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.6147134304046631},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5413901209831238},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.514679491519928},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4709818363189697},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.45922863483428955},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4386250376701355},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43777328729629517},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39561158418655396},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.22958597540855408}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8787661790847778},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.730303168296814},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.7220805287361145},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6471684575080872},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6350133419036865},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.6147134304046631},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5413901209831238},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.514679491519928},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4709818363189697},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.45922863483428955},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4386250376701355},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43777328729629517},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39561158418655396},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.22958597540855408},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/bigdata.2018.8622424","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622424","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarworks.iupui.edu:1805/22062","is_oa":true,"landing_page_url":"http://hdl.handle.net/1805/22062","pdf_url":"https://scholarworks.indianapolis.iu.edu/bitstreams/22e876e9-62a4-4ad8-aba8-621a089d8ade/download","source":{"id":"https://openalex.org/S4306400987","display_name":"IUScholarWorks (Indiana University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I592451","host_organization_name":"Indiana University","host_organization_lineage":["https://openalex.org/I592451"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Author","raw_type":"Conference proceedings"},{"id":"pmh:oai:scholarworks.indianapolis.iu.edu:1805/22062","is_oa":false,"landing_page_url":"https://hdl.handle.net/1805/22062","pdf_url":null,"source":{"id":"https://openalex.org/S4306400987","display_name":"IUScholarWorks (Indiana University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I592451","host_organization_name":"Indiana University","host_organization_lineage":["https://openalex.org/I592451"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Author","raw_type":"Conference proceedings"}],"best_oa_location":{"id":"pmh:oai:scholarworks.iupui.edu:1805/22062","is_oa":true,"landing_page_url":"http://hdl.handle.net/1805/22062","pdf_url":"https://scholarworks.indianapolis.iu.edu/bitstreams/22e876e9-62a4-4ad8-aba8-621a089d8ade/download","source":{"id":"https://openalex.org/S4306400987","display_name":"IUScholarWorks (Indiana University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I592451","host_organization_name":"Indiana University","host_organization_lineage":["https://openalex.org/I592451"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Author","raw_type":"Conference proceedings"},"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2913814504.pdf"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2099471712","https://openalex.org/W2120636621","https://openalex.org/W2187089797","https://openalex.org/W2412320034","https://openalex.org/W2599354622","https://openalex.org/W2787947370","https://openalex.org/W2963045681","https://openalex.org/W4294568686","https://openalex.org/W4320013936","https://openalex.org/W6631190155","https://openalex.org/W6678007500","https://openalex.org/W6715501732","https://openalex.org/W6748495906","https://openalex.org/W6751917112"],"related_works":["https://openalex.org/W2980541498","https://openalex.org/W2888032422","https://openalex.org/W2996316059","https://openalex.org/W4385421777","https://openalex.org/W3178813832","https://openalex.org/W3138936091","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W2971552217","https://openalex.org/W3005996785"],"abstract_inverted_index":{"Detecting":[0],"anomalies":[1],"and":[2,16,77],"outliers":[3],"in":[4],"data":[5],"has":[6],"a":[7,25],"number":[8],"of":[9],"applications":[10],"including":[11],"hazard":[12],"sensing,":[13],"fraud":[14],"detection,":[15],"systems":[17],"management.":[18],"While":[19],"generative":[20,64],"adversarial":[21,65],"networks":[22],"seem":[23],"like":[24],"natural":[26],"fit":[27],"for":[28],"addressing":[29],"these":[30],"challenges,":[31],"we":[32,54],"find":[33],"that":[34,68],"existing":[35,81],"GAN":[36,82],"based":[37],"anomaly":[38,71,83],"detection":[39,84],"algorithms":[40],"perform":[41],"poorly":[42],"due":[43],"to":[44,47],"their":[45],"inability":[46],"handle":[48],"multimodal":[49,70],"patterns.":[50],"For":[51],"this":[52],"purpose":[53],"introduce":[55],"an":[56],"infinite":[57],"Gaussian":[58],"mixture":[59],"model":[60],"coupled":[61],"with":[62],"(bi-directional)":[63],"networks,":[66],"IGMM-GAN,":[67],"facilitates":[69],"detection.":[72],"We":[73],"illustrate":[74],"our":[75],"methodology":[76],"its":[78],"improvement":[79],"over":[80],"on":[85],"the":[86],"MNIST":[87],"dataset.":[88]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}