{"id":"https://openalex.org/W3006628683","doi":"https://doi.org/10.1109/infocomwkshps50562.2020.9162964","title":"Active Learning-based Classification in Automated Connected Vehicles","display_name":"Active Learning-based Classification in Automated Connected Vehicles","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3006628683","doi":"https://doi.org/10.1109/infocomwkshps50562.2020.9162964","mag":"3006628683"},"language":"en","primary_location":{"id":"doi:10.1109/infocomwkshps50562.2020.9162964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocomwkshps50562.2020.9162964","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2002.07593","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006961690","display_name":"Alaa Awad Abdellatif","orcid":"https://orcid.org/0000-0002-3887-2520"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Alaa Awad Abdellatif","raw_affiliation_strings":["Politecnico di Torino, Italy","Politecnico di Torino (Italy)"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino, Italy","institution_ids":["https://openalex.org/I177477856"]},{"raw_affiliation_string":"Politecnico di Torino (Italy)","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021780258","display_name":"Carla Fabiana Chiasserini","orcid":"https://orcid.org/0000-0003-1410-660X"},"institutions":[{"id":"https://openalex.org/I4210100607","display_name":"Institute of Electronics, Computer and Telecommunication Engineering","ror":"https://ror.org/00n4jbh84","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210100607","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Carla Fabiana Chiasserini","raw_affiliation_strings":["CNR-IEIIT, Italy","CNR-IEIIT,Italy"],"affiliations":[{"raw_affiliation_string":"CNR-IEIIT, Italy","institution_ids":["https://openalex.org/I4210100607"]},{"raw_affiliation_string":"CNR-IEIIT,Italy","institution_ids":["https://openalex.org/I4210100607"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035651305","display_name":"Francesco Malandrino","orcid":"https://orcid.org/0000-0003-0458-2004"},"institutions":[{"id":"https://openalex.org/I4210100607","display_name":"Institute of Electronics, Computer and Telecommunication Engineering","ror":"https://ror.org/00n4jbh84","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210100607","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Malandrino","raw_affiliation_strings":["CNR-IEIIT, Italy","CNR-IEIIT,Italy"],"affiliations":[{"raw_affiliation_string":"CNR-IEIIT, Italy","institution_ids":["https://openalex.org/I4210100607"]},{"raw_affiliation_string":"CNR-IEIIT,Italy","institution_ids":["https://openalex.org/I4210100607"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006961690"],"corresponding_institution_ids":["https://openalex.org/I177477856"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01859752,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"598","last_page":"603"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9983000159263611,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9983000159263611,"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":0.9936000108718872,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9922000169754028,"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/computer-science","display_name":"Computer science","score":0.7699964642524719},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5887226462364197},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5027985572814941},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.501685380935669},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45423856377601624},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4343827962875366},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3594168424606323},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1121307909488678}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7699964642524719},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5887226462364197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5027985572814941},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.501685380935669},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45423856377601624},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4343827962875366},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3594168424606323},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1121307909488678},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/infocomwkshps50562.2020.9162964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocomwkshps50562.2020.9162964","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2002.07593","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.07593","pdf_url":"https://arxiv.org/pdf/2002.07593","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":"mag:3006628683","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2002.07593","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2002.07593","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2002.07593","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-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2002.07593","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.07593","pdf_url":"https://arxiv.org/pdf/2002.07593","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":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3006628683.pdf","grobid_xml":"https://content.openalex.org/works/W3006628683.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W369786348","https://openalex.org/W1514928307","https://openalex.org/W1532264762","https://openalex.org/W2117366235","https://openalex.org/W2161816739","https://openalex.org/W2471138382","https://openalex.org/W2575032143","https://openalex.org/W2605194399","https://openalex.org/W2616630373","https://openalex.org/W2889422404","https://openalex.org/W2894776549","https://openalex.org/W2902557560","https://openalex.org/W2908781812","https://openalex.org/W2954678707","https://openalex.org/W2993538565","https://openalex.org/W6757856912"],"related_works":["https://openalex.org/W3048754373","https://openalex.org/W2810431271","https://openalex.org/W2949954513","https://openalex.org/W3030601772","https://openalex.org/W2784147994","https://openalex.org/W1553323112","https://openalex.org/W3092291811","https://openalex.org/W2746768117","https://openalex.org/W191348588","https://openalex.org/W2748565338","https://openalex.org/W2564839801","https://openalex.org/W3096586111","https://openalex.org/W3128568455","https://openalex.org/W3127113862","https://openalex.org/W2185919588","https://openalex.org/W1854307180","https://openalex.org/W2981149498","https://openalex.org/W2995711755","https://openalex.org/W2982185510","https://openalex.org/W2766580391"],"abstract_inverted_index":{"Machine":[0],"learning":[1,84],"has":[2],"emerged":[3],"as":[4,94,96],"a":[5,158],"promising":[6],"paradigm":[7],"for":[8,36,162],"enabling":[9],"connected,":[10],"automated":[11],"vehicles":[12],"to":[13,20,28,119,121],"autonomously":[14],"cruise":[15],"the":[16,37,50,53,88,111,117,122,155,163],"streets":[17],"and":[18,30,33,42,74,105,133],"react":[19],"unexpected":[21],"situations.":[22],"A":[23],"key":[24],"challenge,":[25,79],"however,":[26],"is":[27],"collect":[29],"select":[31],"real-time":[32],"reliable":[34],"information":[35,89],"correct":[38],"classification":[39,152],"of":[40,72,157],"unexpected,":[41],"often":[43],"uncommon,":[44],"events":[45],"that":[46,143],"may":[47,63],"happen":[48],"on":[49],"road.":[51],"Indeed,":[52],"data":[54,118,140,164],"generated":[55],"by":[56,66,125],"vehicles,":[57,62,100],"or":[58,68],"received":[59,97],"from":[60,98],"neighboring":[61],"be":[64],"affected":[65],"errors":[67],"have":[69],"different":[70],"levels":[71],"resolution":[73],"freshness.":[75],"To":[76],"tackle":[77],"this":[78],"we":[80],"propose":[81],"an":[82],"active":[83],"framework":[85],"that,":[86],"leveraging":[87],"collected":[90],"through":[91],"onboard":[92],"sensors":[93],"well":[95],"other":[99],"effectively":[101],"deals":[102],"with":[103],"scarce":[104],"noisy":[106],"data.":[107],"In":[108],"particular,":[109],"given":[110],"available":[112],"information,":[113],"our":[114,144],"solution":[115],"selects":[116],"add":[120],"training":[123],"set":[124],"trading":[126],"off":[127],"between":[128,166],"two":[129],"essential":[130],"features:":[131],"quality":[132],"diversity.":[134],"The":[135],"results,":[136],"obtained":[137],"using":[138],"realworld":[139],"sets,":[141],"show":[142],"method":[145],"significantly":[146],"outperforms":[147],"state-of-the-art":[148],"solutions,":[149],"providing":[150],"high":[151],"accuracy":[153],"at":[154],"cost":[156],"limited":[159],"bandwidth":[160],"requirement":[161],"exchange":[165],"vehicles.":[167]},"counts_by_year":[],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
