{"id":"https://openalex.org/W3043708096","doi":"https://doi.org/10.1145/3401025.3401741","title":"DeepMatch","display_name":"DeepMatch","publication_year":2020,"publication_date":"2020-07-13","ids":{"openalex":"https://openalex.org/W3043708096","doi":"https://doi.org/10.1145/3401025.3401741","mag":"3043708096"},"language":"en","primary_location":{"id":"doi:10.1145/3401025.3401741","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3401025.3401741","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM International Conference on Distributed and Event-based Systems","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/A5053481017","display_name":"Magnus Oplenskedal","orcid":"https://orcid.org/0000-0001-9712-8235"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Magnus Oplenskedal","raw_affiliation_strings":["Norwegian University of Science and Technology (NTNU), Trondheim, Norway"],"affiliations":[{"raw_affiliation_string":"Norwegian University of Science and Technology (NTNU), Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081026876","display_name":"Amir Taherkordi","orcid":"https://orcid.org/0000-0003-1672-054X"},"institutions":[{"id":"https://openalex.org/I184942183","display_name":"University of Oslo","ror":"https://ror.org/01xtthb56","country_code":"NO","type":"education","lineage":["https://openalex.org/I184942183"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Amir Taherkordi","raw_affiliation_strings":["University of Oslo, Oslo, Norway"],"affiliations":[{"raw_affiliation_string":"University of Oslo, Oslo, Norway","institution_ids":["https://openalex.org/I184942183"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036208048","display_name":"Peter Herrmann","orcid":"https://orcid.org/0000-0003-3830-466X"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Peter Herrmann","raw_affiliation_strings":["Norwegian University of Science and Technology (NTNU). Trondheim, Norway"],"affiliations":[{"raw_affiliation_string":"Norwegian University of Science and Technology (NTNU). Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053481017"],"corresponding_institution_ids":["https://openalex.org/I204778367"],"apc_list":null,"apc_paid":null,"fwci":0.4885,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.65507159,"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":"97","last_page":"108"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12801","display_name":"Bluetooth and Wireless Communication Technologies","score":0.9908000230789185,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8277699947357178},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6076695322990417},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5803613066673279},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.568648099899292},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4947888255119324},{"id":"https://openalex.org/keywords/bluetooth","display_name":"Bluetooth","score":0.49362432956695557},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.48877832293510437},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4785795211791992},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4655035138130188},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4448205232620239},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.42102473974227905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4194435775279999},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.41559404134750366},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3574838638305664},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.2669575810432434},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.18755578994750977},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.13061794638633728}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8277699947357178},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6076695322990417},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5803613066673279},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.568648099899292},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4947888255119324},{"id":"https://openalex.org/C546215728","wikidata":"https://www.wikidata.org/wiki/Q39531","display_name":"Bluetooth","level":3,"score":0.49362432956695557},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.48877832293510437},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4785795211791992},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4655035138130188},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4448205232620239},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.42102473974227905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4194435775279999},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.41559404134750366},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3574838638305664},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.2669575810432434},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.18755578994750977},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.13061794638633728},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3401025.3401741","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3401025.3401741","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM International Conference on Distributed and Event-based Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1850325679","https://openalex.org/W1932503975","https://openalex.org/W1985623362","https://openalex.org/W2043466604","https://openalex.org/W2114623221","https://openalex.org/W2136655611","https://openalex.org/W2171590421","https://openalex.org/W2237952612","https://openalex.org/W2289420286","https://openalex.org/W2304825782","https://openalex.org/W2407362091","https://openalex.org/W2466994498","https://openalex.org/W2553915786","https://openalex.org/W2582293872","https://openalex.org/W2604096629","https://openalex.org/W2621571487","https://openalex.org/W2736191430","https://openalex.org/W2745029865","https://openalex.org/W2771577607","https://openalex.org/W2919115771","https://openalex.org/W2990138404","https://openalex.org/W2998611528","https://openalex.org/W3091905774"],"related_works":["https://openalex.org/W4220926637","https://openalex.org/W2362681120","https://openalex.org/W2376320007","https://openalex.org/W4376643979","https://openalex.org/W2322402661","https://openalex.org/W2389079374","https://openalex.org/W2372429262","https://openalex.org/W2903653170","https://openalex.org/W2722482855","https://openalex.org/W2351967314"],"abstract_inverted_index":{"A":[0,22],"key":[1],"feature":[2,142,161],"of":[3,12,16,35,88,101,111,119,187,222],"modern":[4],"public":[5],"transportation":[6],"systems":[7],"is":[8,25,129,166,173,225,236],"the":[9,13,86,99,108,116,120,169,180,185,196,219],"accurate":[10],"detection":[11,29,230],"mobile":[14,57],"context":[15],"transport":[17],"vehicles":[18],"and":[19,85,106,115,144,163],"their":[20],"passengers.":[21,36],"prominent":[23],"example":[24],"automatic":[26],"in-vehicle":[27,69,125,228],"presence":[28,70,229],"which":[30],"allows,":[31],"e.g.,":[32,178,242],"intelligent":[33],"auto-ticketing":[34,243],"Most":[37],"existing":[38],"solutions,":[39],"in":[40,68,123,175,179,211],"this":[41,73,77,158,183],"field,":[42],"are":[43],"based":[44,205],"on":[45,195,206],"either":[46],"using":[47,137],"active":[48],"RFID":[49],"or":[50,56],"Bluetooth":[51],"Low":[52],"Energy":[53],"(BLE)":[54],"technology,":[55],"sensor":[58,188],"data":[59],"analysis.":[60],"Such":[61],"techniques":[62],"suffer":[63],"from":[64],"low":[65],"spatiotemporal":[66],"accuracy":[67,221],"detection.":[71],"In":[72,157,182],"paper,":[74],"we":[75,233],"address":[76],"issue":[78],"by":[79],"proposing":[80],"a":[81,102,132,150,176,207],"deep":[82],"learning":[83,134],"model":[84,135],"design":[87],"an":[89,124],"associated":[90],"generic":[91],"distributed":[92,159],"framework.":[93],"Our":[94],"approach,":[95],"called":[96],"DeepMatch,":[97],"utilizes":[98],"smartphone":[100],"passenger":[103],"to":[104,168,190,238],"analyze":[105],"match":[107],"event":[109,117],"streams":[110,118],"its":[112],"own":[113],"sensors":[114,122],"counterpart":[121],"reference":[126],"unit.":[127],"This":[128],"achieved":[130],"through":[131],"new":[133],"architecture":[136],"Stacked":[138],"Convolutional":[139],"Autoencoders":[140],"for":[141,154,193,227],"extraction":[143,162],"dimensionality":[145,164],"reduction,":[146],"as":[147,149,232],"well":[148],"dense":[151],"neural":[152],"network":[153],"stream":[155],"matching.":[156],"framework,":[160],"reduction":[165],"offloaded":[167],"smartphone,":[170],"while":[171],"matching":[172,194],"performed":[174],"server,":[177],"Cloud.":[181],"way,":[184],"number":[186],"events":[189],"be":[191,200,239],"transmitted":[192],"server":[197],"side":[198],"will":[199,234],"minimized.":[201],"We":[202],"evaluated":[203],"DeepMatch":[204],"large":[208],"dataset":[209],"taken":[210],"real":[212],"vehicles.":[213],"The":[214],"evaluation":[215],"results":[216],"show":[217],"that":[218],"statistical":[220],"our":[223],"approach":[224],"0.978":[226],"which,":[231],"argue,":[235],"sufficient":[237],"used":[240],"in,":[241],"systems.":[244]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2020-07-23T00:00:00"}