{"id":"https://openalex.org/W4224931282","doi":"https://doi.org/10.1109/icassp43922.2022.9746646","title":"Detecting Anomaly in Chemical Sensors via Regularized Contrastive Learning","display_name":"Detecting Anomaly in Chemical Sensors via Regularized Contrastive Learning","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4224931282","doi":"https://doi.org/10.1109/icassp43922.2022.9746646"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9746646","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746646","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5058826860","display_name":"Diaa Badawi","orcid":"https://orcid.org/0000-0003-4979-5572"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Diaa Badawi","raw_affiliation_strings":["University of Illinois at Chicago,Department of Electrical and Computer Engineering,Chicago,IL","Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago,Department of Electrical and Computer Engineering,Chicago,IL","institution_ids":["https://openalex.org/I39422238"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081856015","display_name":"Ishaan Bassi","orcid":"https://orcid.org/0000-0001-6007-216X"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ishaan Bassi","raw_affiliation_strings":["Arizona State University,School of Electrical, Computer and Energy Engineering,Tempe,AZ","School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ"],"affiliations":[{"raw_affiliation_string":"Arizona State University,School of Electrical, Computer and Energy Engineering,Tempe,AZ","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058946013","display_name":"Sule Ozev","orcid":"https://orcid.org/0000-0002-3636-715X"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sule Ozev","raw_affiliation_strings":["Arizona State University,School of Electrical, Computer and Energy Engineering,Tempe,AZ","School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ"],"affiliations":[{"raw_affiliation_string":"Arizona State University,School of Electrical, Computer and Energy Engineering,Tempe,AZ","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080469744","display_name":"Ahmet Enis \u00c7etin","orcid":"https://orcid.org/0000-0002-3449-1958"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmet Enis Cetin","raw_affiliation_strings":["University of Illinois at Chicago,Department of Electrical and Computer Engineering,Chicago,IL","Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago,Department of Electrical and Computer Engineering,Chicago,IL","institution_ids":["https://openalex.org/I39422238"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5058826860"],"corresponding_institution_ids":["https://openalex.org/I39422238"],"apc_list":null,"apc_paid":null,"fwci":0.1039,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.23524025,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"86","last_page":"90"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9987999796867371,"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":0.9987999796867371,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6132155060768127},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6048890352249146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5732197761535645},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5235709547996521},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.508253276348114},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.4867798984050751},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46983999013900757},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.43474462628364563},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.42701074481010437},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4155676066875458},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3923727869987488},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3531615138053894}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6132155060768127},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6048890352249146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5732197761535645},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5235709547996521},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.508253276348114},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.4867798984050751},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46983999013900757},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.43474462628364563},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.42701074481010437},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4155676066875458},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3923727869987488},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3531615138053894},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp43922.2022.9746646","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746646","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2007061422","https://openalex.org/W2022851810","https://openalex.org/W2027620502","https://openalex.org/W2049368177","https://openalex.org/W2106606334","https://openalex.org/W2165738004","https://openalex.org/W2166465445","https://openalex.org/W2798991696","https://openalex.org/W2887731362","https://openalex.org/W2892104683","https://openalex.org/W2894332792","https://openalex.org/W2938730968","https://openalex.org/W3005680577","https://openalex.org/W3007570526","https://openalex.org/W3035524453","https://openalex.org/W3043138801","https://openalex.org/W3104616090","https://openalex.org/W3106312933","https://openalex.org/W3164847655","https://openalex.org/W3166996110","https://openalex.org/W6750782655","https://openalex.org/W6774314701","https://openalex.org/W6780874654","https://openalex.org/W6785683489","https://openalex.org/W6796110215"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W2389818373","https://openalex.org/W3210364259","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W2220831889","https://openalex.org/W2056226831"],"abstract_inverted_index":{"In":[0,16,41,74],"this":[1,75],"work,":[2,76],"we":[3,77,91],"present":[4],"a":[5,65,102],"method":[6],"for":[7,86],"detecting":[8],"anomalous":[9],"chemical":[10,24,39],"sensors":[11,25,31],"using":[12],"contrastive":[13,43,80],"learning-based":[14],"framework.":[15],"many":[17],"practical":[18],"systems,":[19],"an":[20],"array":[21],"of":[22,29,59],"multiple":[23],"are":[26],"used.":[27],"Some":[28],"the":[30,45,60,93,97,108],"may":[32],"malfunction":[33],"due":[34],"to":[35,48,82],"sensor":[36],"drift":[37],"and":[38,101],"poisoning.":[40],"standard":[42,79],"learning,":[44],"aim":[46],"is":[47],"learn":[49],"representations":[50,85],"that":[51,118],"will":[52],"have":[53],"maximum":[54],"agreement":[55,67],"among":[56],"data":[57,69],"samples":[58,70],"same":[61],"concept":[62],"while":[63],"having":[64],"minimal":[66],"with":[68,96],"from":[71],"other":[72],"concepts.":[73],"adapt":[78],"learning":[81,83],"useful":[84],"out-of-distribution":[87],"sample":[88],"detection.":[89],"Furthermore,":[90],"compare":[92],"proposed":[94],"framework":[95],"cosine":[98],"similarity":[99,104],"measure":[100,105],"novel":[103],"based":[106],"on":[107],"\u2113":[109],"<inf":[110],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[111],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</inf>":[112],"norm.":[113],"Our":[114],"experimental":[115],"results":[116],"show":[117],"our":[119],"approach":[120],"achieves":[121],"higher":[122],"AUC":[123],"scores":[124],"(93.6%)":[125],"than":[126],"baseline":[127],"methods":[128],"(90.1%).":[129]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
