{"id":"https://openalex.org/W2512257949","doi":"https://doi.org/10.1155/2016/2097243","title":"Representation Learning from Time Labelled Heterogeneous Data for Mobile Crowdsensing","display_name":"Representation Learning from Time Labelled Heterogeneous Data for Mobile Crowdsensing","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2512257949","doi":"https://doi.org/10.1155/2016/2097243","mag":"2512257949"},"language":"en","primary_location":{"id":"doi:10.1155/2016/2097243","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/2097243","pdf_url":"http://downloads.hindawi.com/journals/misy/2016/2097243.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"http://downloads.hindawi.com/journals/misy/2016/2097243.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047088715","display_name":"Chunmei Ma","orcid":"https://orcid.org/0000-0002-7931-1674"},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunmei Ma","raw_affiliation_strings":["School of Computer and Information Engineering, Tianjin Normal University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-7931-1674","affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Tianjin Normal University, Tianjin, China","institution_ids":["https://openalex.org/I15062923"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100779836","display_name":"Qing Zhu","orcid":"https://orcid.org/0000-0003-2262-2743"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Zhu","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102008933","display_name":"Shuang Wu","orcid":"https://orcid.org/0000-0002-5093-2354"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Wu","raw_affiliation_strings":["College of Computer Science, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100395537","display_name":"Bin Liu","orcid":"https://orcid.org/0000-0002-8917-874X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Liu","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-8917-874X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047088715"],"corresponding_institution_ids":["https://openalex.org/I15062923"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":1.6437,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.89880687,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"2016","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9995999932289124,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.8429520130157471},{"id":"https://openalex.org/keywords/crowdsensing","display_name":"Crowdsensing","score":0.8318090438842773},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5278306603431702},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5152259469032288},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5055620670318604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49201127886772156},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41242292523384094},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4014011323451996},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08132615685462952}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8429520130157471},{"id":"https://openalex.org/C2780821482","wikidata":"https://www.wikidata.org/wiki/Q25381721","display_name":"Crowdsensing","level":2,"score":0.8318090438842773},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5278306603431702},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5152259469032288},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5055620670318604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49201127886772156},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41242292523384094},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4014011323451996},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08132615685462952},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2016/2097243","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/2097243","pdf_url":"http://downloads.hindawi.com/journals/misy/2016/2097243.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:de68693b37cd454ba26e68b1ca847a77","is_oa":true,"landing_page_url":"https://doaj.org/article/de68693b37cd454ba26e68b1ca847a77","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mobile Information Systems, Vol 2016 (2016)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2016/2097243","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/2097243","pdf_url":"http://downloads.hindawi.com/journals/misy/2016/2097243.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2512257949.pdf","grobid_xml":"https://content.openalex.org/works/W2512257949.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1423339008","https://openalex.org/W1969877606","https://openalex.org/W1977093441","https://openalex.org/W1992673035","https://openalex.org/W1998351803","https://openalex.org/W1998399571","https://openalex.org/W2014643169","https://openalex.org/W2018690964","https://openalex.org/W2041608059","https://openalex.org/W2056916891","https://openalex.org/W2067301942","https://openalex.org/W2072128103","https://openalex.org/W2086755418","https://openalex.org/W2090766960","https://openalex.org/W2094924289","https://openalex.org/W2098104834","https://openalex.org/W2100495367","https://openalex.org/W2125826911","https://openalex.org/W2129230821","https://openalex.org/W2135801466","https://openalex.org/W2142216726","https://openalex.org/W2144169341","https://openalex.org/W2151154046","https://openalex.org/W2161029186","https://openalex.org/W2168463792","https://openalex.org/W2171306551","https://openalex.org/W2182924040","https://openalex.org/W2211074723","https://openalex.org/W2240544807","https://openalex.org/W2251939518","https://openalex.org/W2314362175","https://openalex.org/W2766736793","https://openalex.org/W2919115771","https://openalex.org/W4231109964"],"related_works":["https://openalex.org/W2563347706","https://openalex.org/W2608033733","https://openalex.org/W4287604253","https://openalex.org/W1894261276","https://openalex.org/W2168877220","https://openalex.org/W2295662171","https://openalex.org/W4381785531","https://openalex.org/W4360776667","https://openalex.org/W3098657080","https://openalex.org/W4232477044"],"abstract_inverted_index":{"Mobile":[0],"crowdsensing":[1,116],"is":[2],"a":[3,104,115,121],"new":[4,52,122],"paradigm":[5],"that":[6,103,141],"can":[7,109,145],"utilize":[8],"pervasive":[9],"smartphones":[10],"to":[11,16,61,85,132],"collect":[12],"and":[13,34,47,70,169,190],"analyze":[14,71],"data":[15,21,28,40,50,55,66,128,147],"benefit":[17],"users.":[18],"However,":[19],"sensory":[20],"gathered":[22],"by":[23,68,149,162],"smartphone":[24,94,172],"usually":[25],"involves":[26],"different":[27,32,150],"types":[29],"because":[30,89],"of":[31,65,106,126,158],"granularity":[33],"multiple":[35,107],"sensor":[36],"sources.":[37],"Besides,":[38],"the":[39,80,156,159],"are":[41,95],"also":[42,83],"time":[43,48,76,130],"labelled.":[44],"The":[45],"heterogeneous":[46,127],"sequential":[49],"raise":[51],"challenges":[53],"for":[54,114],"analyzing.":[56],"Some":[57],"existing":[58],"solutions":[59],"try":[60],"learn":[62],"each":[63],"type":[64],"one":[67,69],"them":[72],"separately":[73],"without":[74],"considering":[75],"information.":[77],"In":[78,98],"addition,":[79],"traditional":[81],"methods":[82],"have":[84],"determine":[86],"phone":[87],"orientation":[88,96],"some":[90],"sensors":[91,108],"equipped":[92],"in":[93],"related.":[97],"this":[99],"paper,":[100],"we":[101,119,154],"think":[102],"combination":[105],"represent":[110],"an":[111],"invariant":[112],"feature":[113],"context.":[117],"Therefore,":[118],"propose":[120],"representation":[123],"learning":[124],"method":[125,144,161],"with":[129,171],"labels":[131],"extract":[133],"typical":[134],"features":[135],"using":[136],"deep":[137],"learning.":[138],"We":[139],"evaluate":[140],"our":[142],"proposed":[143,160],"adapt":[146],"generated":[148],"orientations":[151],"effectively.":[152],"Furthermore,":[153],"test":[155],"performance":[157],"recognizing":[163],"two":[164],"group":[165],"mobile":[166],"activities,":[167],"walking/cycling":[168],"driving/bus":[170],"sensors.":[173],"It":[174],"achieves":[175],"precisions":[176],"of<mml:math":[177],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[178,182],"id=\"M1\"><mml:mn":[179],"mathvariant=\"normal\">98.6</mml:mn><mml:mi":[180],"mathvariant=\"normal\">%</mml:mi></mml:math>and<mml:math":[181],"id=\"M2\"><mml:mn":[183],"mathvariant=\"normal\">93.7</mml:mn><mml:mi":[184],"mathvariant=\"normal\">%</mml:mi></mml:math>in":[185],"distinguishing":[186],"cycling":[187],"from":[188,192],"walking":[189],"bus":[191],"driving,":[193],"respectively.":[194]},"counts_by_year":[{"year":2019,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}