{"id":"https://openalex.org/W2912108923","doi":"https://doi.org/10.1109/allerton.2018.8635928","title":"Deep Reinforcement One-Shot Learning for Change Point Detection","display_name":"Deep Reinforcement One-Shot Learning for Change Point Detection","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2912108923","doi":"https://doi.org/10.1109/allerton.2018.8635928","mag":"2912108923"},"language":"en","primary_location":{"id":"doi:10.1109/allerton.2018.8635928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/allerton.2018.8635928","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton)","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/A5083900904","display_name":"Anton Puzanov","orcid":null},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Anton Puzanov","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer Sheva, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066085947","display_name":"Kobi Cohen","orcid":"https://orcid.org/0000-0003-0532-009X"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Kobi Cohen","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer Sheva, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1827,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.85018319,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1047","last_page":"1051"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991999864578247,"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":0.9991999864578247,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9975000023841858,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/computer-science","display_name":"Computer science","score":0.8256412148475647},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.800616979598999},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7230328321456909},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.6836363077163696},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5493308901786804},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.5401588082313538},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5342819690704346},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.501591682434082},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.48883527517318726},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.46815112233161926},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.44806209206581116},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.41566210985183716},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15015730261802673}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8256412148475647},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.800616979598999},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7230328321456909},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6836363077163696},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5493308901786804},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.5401588082313538},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5342819690704346},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.501591682434082},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.48883527517318726},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.46815112233161926},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.44806209206581116},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.41566210985183716},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15015730261802673},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/allerton.2018.8635928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/allerton.2018.8635928","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W16011919","https://openalex.org/W1485536830","https://openalex.org/W1978470213","https://openalex.org/W1979071892","https://openalex.org/W1981413807","https://openalex.org/W2045030310","https://openalex.org/W2096533821","https://openalex.org/W2104248329","https://openalex.org/W2107726111","https://openalex.org/W2111701784","https://openalex.org/W2115733720","https://openalex.org/W2140747085","https://openalex.org/W2145339207","https://openalex.org/W2149259182","https://openalex.org/W2155968351","https://openalex.org/W2170341113","https://openalex.org/W2194321275","https://openalex.org/W2409436280","https://openalex.org/W2435450765","https://openalex.org/W2471138382","https://openalex.org/W2472819217","https://openalex.org/W2528640440","https://openalex.org/W2590833223","https://openalex.org/W2592120495","https://openalex.org/W2612336410","https://openalex.org/W2743681928","https://openalex.org/W2746553466","https://openalex.org/W2887579771","https://openalex.org/W2898754723","https://openalex.org/W2903158431","https://openalex.org/W2921555704","https://openalex.org/W2950044985","https://openalex.org/W2962810352","https://openalex.org/W2962883549","https://openalex.org/W2963079995","https://openalex.org/W2963341924","https://openalex.org/W2964309157","https://openalex.org/W4232896127","https://openalex.org/W4294526978","https://openalex.org/W4300109888","https://openalex.org/W6628883518","https://openalex.org/W6674304311","https://openalex.org/W6717697761","https://openalex.org/W6718171111","https://openalex.org/W6720057410","https://openalex.org/W6733556328","https://openalex.org/W6734554788","https://openalex.org/W6742447539","https://openalex.org/W6749422299","https://openalex.org/W6754031182","https://openalex.org/W6756306824","https://openalex.org/W6756615331","https://openalex.org/W7037238757"],"related_works":["https://openalex.org/W2497720472","https://openalex.org/W4292659306","https://openalex.org/W3044321615","https://openalex.org/W4294892107","https://openalex.org/W2806221744","https://openalex.org/W2326937258","https://openalex.org/W394267150","https://openalex.org/W2773965352","https://openalex.org/W2357748469","https://openalex.org/W2392917037"],"abstract_inverted_index":{"We":[0,60,129],"consider":[1],"the":[2,78,95,99,107,111,120,126,131,134,139,142],"problem":[3],"of":[4,42,57,77,110,141],"detecting":[5],"a":[6,9,17,62,84,89],"change":[7],"in":[8,27,40,98,103],"time":[10],"series":[11,41],"quickly":[12],"and":[13,34],"reliably,":[14],"where":[15,38],"only":[16],"few":[18],"training":[19],"instances":[20],"are":[21,53],"available.":[22],"Examples":[23],"include":[24],"identifying":[25],"changes":[26,39],"network":[28,86],"traffic":[29],"due":[30],"to":[31,49,70,82,87,94,115,124,137],"zero-day":[32],"attacks,":[33],"computer":[35],"vision":[36],"applications":[37],"images":[43],"that":[44],"represent":[45],"significant":[46],"events":[47],"needed":[48],"be":[50],"detected.":[51],"These":[52],"known":[54],"as":[55],"cases":[56],"one-shot":[58,112],"learning.":[59],"develop":[61],"novel":[63],"Deep":[64],"Reinforcement":[65],"One-shot":[66],"Learning":[67],"(DeROL)":[68],"framework":[69],"address":[71],"this":[72],"challenge.":[73],"The":[74],"basic":[75],"idea":[76],"DeROL":[79,105,143],"algorithm":[80,132],"is":[81,92],"train":[83],"deep-Q":[85,122],"obtain":[88],"policy":[90],"which":[91],"oblivious":[93],"unseen":[96],"classes":[97],"testing":[100],"data.":[101],"Then,":[102],"real-time,":[104],"maps":[106],"current":[108],"state":[109],"learning":[113],"process":[114],"operational":[116],"actions":[117],"based":[118],"on":[119],"trained":[121],"network,":[123],"maximize":[125],"objective":[127],"function.":[128],"tested":[130],"using":[133],"OMNIGLOT":[135],"dataset":[136],"demonstrate":[138],"efficiency":[140],"framework.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
