{"id":"https://openalex.org/W3090574047","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206730","title":"Data-efficient Online Classification with Siamese Networks and Active Learning","display_name":"Data-efficient Online Classification with Siamese Networks and Active Learning","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3090574047","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206730","mag":"3090574047"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9206730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2010.01659","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Kleanthis Malialis","orcid":null},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":false,"raw_author_name":"Kleanthis Malialis","raw_affiliation_strings":["KIOS Research and Innovation Center of Excellence, University of Cyprus, Nicosia, Cyprus"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KIOS Research and Innovation Center of Excellence, University of Cyprus, Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Christos G. Panayiotou","orcid":null},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":false,"raw_author_name":"Christos G. Panayiotou","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprus","KIOS Research and Innovation Center of Excellence, University of Cyprus, Nicosia, Cyprus"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]},{"raw_affiliation_string":"KIOS Research and Innovation Center of Excellence, University of Cyprus, Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]}]},{"author_position":"last","author":{"id":null,"display_name":"Marios M. Polycarpou","orcid":null},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":false,"raw_author_name":"Marios M. Polycarpou","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprus","KIOS Research and Innovation Center of Excellence, University of Cyprus, Nicosia, Cyprus"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]},{"raw_affiliation_string":"KIOS Research and Innovation Center of Excellence, University of Cyprus, Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I34771391"],"apc_list":null,"apc_paid":null,"fwci":1.1709,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.83767746,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9998000264167786,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9998000264167786,"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":0.9988999962806702,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9979000091552734,"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/online-learning","display_name":"Online learning","score":0.6176000237464905},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5266000032424927},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.5264999866485596},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4787999987602234},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42739999294281006},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.40130001306533813},{"id":"https://openalex.org/keywords/online-machine-learning","display_name":"Online machine learning","score":0.38920000195503235},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.35339999198913574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8027999997138977},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6248999834060669},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.6176000237464905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6057000160217285},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5266000032424927},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.5264999866485596},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4787999987602234},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42739999294281006},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.40130001306533813},{"id":"https://openalex.org/C115903097","wikidata":"https://www.wikidata.org/wiki/Q7094097","display_name":"Online machine learning","level":3,"score":0.38920000195503235},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.35339999198913574},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.34549999237060547},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.320499986410141},{"id":"https://openalex.org/C160403385","wikidata":"https://www.wikidata.org/wiki/Q220543","display_name":"Queue","level":2,"score":0.30230000615119934},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2953000068664551},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2896000146865845},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.2865999937057495},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.2822999954223633},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.2791999876499176},{"id":"https://openalex.org/C24138899","wikidata":"https://www.wikidata.org/wiki/Q17141258","display_name":"Instance-based learning","level":3,"score":0.2736000120639801},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2685000002384186},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.25540000200271606}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9206730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2010.01659","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2010.01659","pdf_url":"https://arxiv.org/pdf/2010.01659","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":null,"raw_type":"text"},{"id":"pmh:oai:zenodo.org:4066279","is_oa":true,"landing_page_url":"https://doi.org/10.1109/IJCNN48605.2020.9206730","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN), (2020-09-28)","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2010.01659","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2010.01659","pdf_url":"https://arxiv.org/pdf/2010.01659","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":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W1904826605","https://openalex.org/W1982039810","https://openalex.org/W1990079212","https://openalex.org/W2028489411","https://openalex.org/W2073256825","https://openalex.org/W2100454174","https://openalex.org/W2107327607","https://openalex.org/W2114453181","https://openalex.org/W2122358895","https://openalex.org/W2135493362","https://openalex.org/W2139327121","https://openalex.org/W2157364932","https://openalex.org/W2171671120","https://openalex.org/W2604756720","https://openalex.org/W2894343638","https://openalex.org/W4230030242","https://openalex.org/W6635179022","https://openalex.org/W6677954473","https://openalex.org/W6756615331","https://openalex.org/W6767164110","https://openalex.org/W6783596713"],"related_works":[],"abstract_inverted_index":{"An":[0],"ever":[1],"increasing":[2],"volume":[3],"of":[4,58,138,152,155],"data":[5,77,125],"is":[6,122,146],"nowadays":[7],"becoming":[8],"available":[9],"in":[10,14,20,78,136],"a":[11,83,99],"streaming":[12],"manner":[13],"many":[15],"application":[16],"areas,":[17],"such":[18],"as,":[19],"critical":[21],"infrastructure":[22],"systems,":[23],"finance":[24],"and":[25,28,30,75,92,106,109,127,129,133,142],"banking,":[26],"security":[27],"crime":[29],"web":[31],"analytics.":[32],"To":[33],"meet":[34],"this":[35,66],"new":[36],"demand,":[37],"predictive":[38],"models":[39],"need":[40],"to":[41,62,103,124],"be":[42],"built":[43],"online":[44,59,79],"where":[45],"learning":[46,50,70,84,140],"occurs":[47],"on-the-fly.":[48],"Online":[49],"poses":[51],"important":[52],"challenges":[53],"that":[54,86,118],"affect":[55],"the":[56,119,153,156],"deployment":[57],"classification":[60],"systems":[61],"real-life":[63],"problems.":[64],"In":[65],"paper":[67],"we":[68],"investigate":[69],"from":[71],"limited":[72],"labelled,":[73],"nonstationary":[74],"imbalanced":[76],"classification.":[80],"We":[81],"propose":[82],"method":[85,97,121],"synergistically":[87],"combines":[88],"siamese":[89],"neural":[90],"networks":[91],"active":[93],"learning.":[94],"The":[95],"proposed":[96,120],"uses":[98],"multi-sliding":[100],"window":[101],"approach":[102],"store":[104],"data,":[105],"maintains":[107],"separate":[108],"balanced":[110],"queues":[111],"for":[112],"each":[113],"class.":[114],"Our":[115],"study":[116],"shows":[117],"robust":[123],"nonstationarity":[126],"imbalance,":[128],"significantly":[130],"outperforms":[131],"baselines":[132],"state-of-the-art":[134],"algorithms":[135],"terms":[137],"both":[139],"speed":[141],"performance.":[143],"Importantly,":[144],"it":[145],"effective":[147],"even":[148],"when":[149],"only":[150],"1%":[151],"labels":[154],"arriving":[157],"instances":[158],"are":[159],"available.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2020-10-08T00:00:00"}