{"id":"https://openalex.org/W4404611855","doi":"https://doi.org/10.1145/3678717.3691324","title":"Transferable Unsupervised Outlier Detection Framework for Human Semantic Trajectories","display_name":"Transferable Unsupervised Outlier Detection Framework for Human Semantic Trajectories","publication_year":2024,"publication_date":"2024-10-29","ids":{"openalex":"https://openalex.org/W4404611855","doi":"https://doi.org/10.1145/3678717.3691324"},"language":"en","primary_location":{"id":"doi:10.1145/3678717.3691324","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3678717.3691324","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3678717.3691324","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102601029","display_name":"Zheng Zhang","orcid":"https://orcid.org/0009-0008-9808-6020"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zheng Zhang","raw_affiliation_strings":["Emory University, USA"],"raw_orcid":"https://orcid.org/0009-0008-9808-6020","affiliations":[{"raw_affiliation_string":"Emory University, USA","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070812964","display_name":"Hossein Amiri","orcid":"https://orcid.org/0000-0003-0926-7679"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hossein Amiri","raw_affiliation_strings":["Emory University, USA"],"raw_orcid":"https://orcid.org/0000-0003-0926-7679","affiliations":[{"raw_affiliation_string":"Emory University, USA","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038204335","display_name":"Dazhou Yu","orcid":"https://orcid.org/0000-0003-2082-0834"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dazhou Yu","raw_affiliation_strings":["Emory University, USA"],"raw_orcid":"https://orcid.org/0000-0003-2082-0834","affiliations":[{"raw_affiliation_string":"Emory University, USA","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060713000","display_name":"Yuntong Hu","orcid":"https://orcid.org/0000-0003-3802-9039"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuntong Hu","raw_affiliation_strings":["Emory University, USA"],"raw_orcid":"https://orcid.org/0000-0003-3802-9039","affiliations":[{"raw_affiliation_string":"Emory University, USA","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048756500","display_name":"Liang Zhao","orcid":"https://orcid.org/0000-0002-2648-9989"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liang Zhao","raw_affiliation_strings":["Emory University, USA"],"raw_orcid":"https://orcid.org/0000-0002-2648-9989","affiliations":[{"raw_affiliation_string":"Emory University, USA","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017299501","display_name":"Andreas Z\u00fcfle","orcid":"https://orcid.org/0000-0001-7001-4123"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andreas Z\u00fcfle","raw_affiliation_strings":["Emory University, USA"],"raw_orcid":"https://orcid.org/0000-0001-7001-4123","affiliations":[{"raw_affiliation_string":"Emory University, USA","institution_ids":["https://openalex.org/I150468666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102601029"],"corresponding_institution_ids":["https://openalex.org/I150468666"],"apc_list":null,"apc_paid":null,"fwci":5.604,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.96474665,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"350","last_page":"360"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7622405290603638},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6053571105003357},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.542936384677887},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5078621506690979},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3208155035972595},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3206879198551178}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7622405290603638},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6053571105003357},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.542936384677887},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5078621506690979},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3208155035972595},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3206879198551178}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3678717.3691324","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3678717.3691324","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3678717.3691324","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3678717.3691324","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5600000023841858}],"awards":[{"id":"https://openalex.org/G3186403233","display_name":null,"funder_award_id":"2432418, 2414115, 2007716, 2007976, 1942594, 1907805, 2318831, 2302968","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G6788542854","display_name":null,"funder_award_id":"140D0423C0025","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1626398438","https://openalex.org/W1785837166","https://openalex.org/W2026493302","https://openalex.org/W2026558628","https://openalex.org/W2028031999","https://openalex.org/W2046466133","https://openalex.org/W2057135445","https://openalex.org/W2095363061","https://openalex.org/W2112526520","https://openalex.org/W2112796928","https://openalex.org/W2138621090","https://openalex.org/W2142412278","https://openalex.org/W2151326673","https://openalex.org/W2469279958","https://openalex.org/W2507783418","https://openalex.org/W2743138268","https://openalex.org/W2767923185","https://openalex.org/W2792952081","https://openalex.org/W2954334186","https://openalex.org/W3001750130","https://openalex.org/W3025469716","https://openalex.org/W3029191757","https://openalex.org/W3029721461","https://openalex.org/W3035524453","https://openalex.org/W3039835227","https://openalex.org/W3043674422","https://openalex.org/W3048334589","https://openalex.org/W3094817699","https://openalex.org/W3189333064","https://openalex.org/W3214313222","https://openalex.org/W4206259284","https://openalex.org/W4231839630","https://openalex.org/W4283366068","https://openalex.org/W4309425095","https://openalex.org/W4318812260","https://openalex.org/W4384080177","https://openalex.org/W4388471965","https://openalex.org/W4399782734","https://openalex.org/W4404106042","https://openalex.org/W4404644578"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W1598471830","https://openalex.org/W3107369729","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Semantic":[0,82],"trajectories,":[1],"which":[2,37],"enrich":[3],"spatial-temporal":[4],"data":[5,60,97],"with":[6],"textual":[7,65],"information":[8,105],"such":[9],"as":[10],"trip":[11],"purposes":[12],"or":[13],"location":[14],"activities,":[15],"are":[16],"key":[17],"for":[18,70,80,119,130],"identifying":[19,120],"outlier":[20,31],"behaviors":[21],"critical":[22],"to":[23,45,94],"healthcare,":[24],"social":[25],"security,":[26],"and":[27,41,64,106,126,140,158],"urban":[28],"planning.":[29],"Traditional":[30],"detection":[32,133],"relies":[33],"on":[34,137],"heuristic":[35],"rules,":[36],"requires":[38],"domain":[39],"knowledge":[40],"limits":[42],"its":[43,156],"ability":[44],"identify":[46],"unseen":[47],"outliers.":[48],"Besides,":[49],"there":[50],"lacks":[51],"a":[52,71,89,131],"comprehensive":[53],"approach":[54],"that":[55],"can":[56],"jointly":[57],"consider":[58],"multi-modal":[59,104],"across":[61,109,127,165],"spatial,":[62],"temporal,":[63],"dimensions.":[66],"Addressing":[67],"the":[68,76,101],"need":[69],"domain-agnostic":[72],"model,":[73],"we":[74],"propose":[75],"Transferable":[77],"Outlier":[78],"Detection":[79],"Human":[81],"Trajectories":[83],"(TOD4Traj)":[84],"framework.":[85],"TOD4Traj":[86],"first":[87],"introduces":[88],"modality":[90],"feature":[91,98],"unification":[92],"module":[93,115],"align":[95],"diverse":[96],"representations,":[99],"enabling":[100],"integration":[102],"of":[103,134],"enhancing":[107],"transferability":[108],"different":[110],"datasets.":[111,167],"A":[112],"contrastive":[113],"learning":[114],"is":[116],"further":[117],"proposed":[118],"regular":[121],"mobility":[122],"patterns":[123],"both":[124],"temporally":[125],"populations,":[128],"allowing":[129],"joint":[132],"outliers":[135,164],"based":[136],"individual":[138],"consistency":[139],"group":[141],"majority":[142],"patterns.":[143],"Our":[144],"experimental":[145],"results":[146],"have":[147],"shown":[148],"TOD4Traj's":[149],"superior":[150],"performance":[151],"over":[152],"existing":[153],"models,":[154],"demonstrating":[155],"effectiveness":[157],"adaptability":[159],"in":[160],"detecting":[161],"human":[162],"trajectory":[163],"various":[166]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":6}],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2025-10-10T00:00:00"}