{"id":"https://openalex.org/W2808388388","doi":"https://doi.org/10.24963/ijcai.2018/461","title":"Predicting Complex Activities from Ongoing Multivariate Time Series","display_name":"Predicting Complex Activities from Ongoing Multivariate Time Series","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2808388388","doi":"https://doi.org/10.24963/ijcai.2018/461","mag":"2808388388"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2018/461","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/461","pdf_url":"https://www.ijcai.org/proceedings/2018/0461.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2018/0461.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110974632","display_name":"Weihao Cheng","orcid":"https://orcid.org/0009-0001-5058-8856"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Weihao Cheng","raw_affiliation_strings":["School of Computing Information and System, The University of Melbourne"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing Information and System, The University of Melbourne","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070030398","display_name":"Sarah Erfani","orcid":"https://orcid.org/0000-0003-0885-0643"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sarah Erfani","raw_affiliation_strings":["School of Computing Information and System, The University of Melbourne"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing Information and System, The University of Melbourne","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101750692","display_name":"Rui Zhang","orcid":"https://orcid.org/0000-0002-3214-5330"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Rui Zhang","raw_affiliation_strings":["School of Computing Information and System, The University of Melbourne"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing Information and System, The University of Melbourne","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069895484","display_name":"Kotagiri Ramamohanarao","orcid":"https://orcid.org/0000-0003-3304-9268"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ramamohanarao Kotagiri","raw_affiliation_strings":["School of Computing Information and System, The University of Melbourne"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing Information and System, The University of Melbourne","institution_ids":["https://openalex.org/I165779595"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I165779595"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3322","last_page":"3328"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998000264167786,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9997000098228455,"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.7812509536743164},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.724361777305603},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6444650888442993},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6137080192565918},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6035996675491333},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5536447763442993},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5108087062835693},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46144360303878784},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4499920904636383},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4336453378200531},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4258318543434143}],"concepts":[{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7812509536743164},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.724361777305603},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6444650888442993},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6137080192565918},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6035996675491333},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5536447763442993},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5108087062835693},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46144360303878784},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4499920904636383},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4336453378200531},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4258318543434143},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2018/461","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/461","pdf_url":"https://www.ijcai.org/proceedings/2018/0461.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2018/461","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/461","pdf_url":"https://www.ijcai.org/proceedings/2018/0461.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2808388388.pdf","grobid_xml":"https://content.openalex.org/works/W2808388388.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W60794598","https://openalex.org/W600165676","https://openalex.org/W1699074795","https://openalex.org/W1946505397","https://openalex.org/W1973590682","https://openalex.org/W1997491508","https://openalex.org/W2017634428","https://openalex.org/W2074848383","https://openalex.org/W2093655440","https://openalex.org/W2101234009","https://openalex.org/W2126511896","https://openalex.org/W2135090840","https://openalex.org/W2140091435","https://openalex.org/W2147615062","https://openalex.org/W2149558335","https://openalex.org/W2239827863","https://openalex.org/W2288074780","https://openalex.org/W2344284192","https://openalex.org/W2403962807","https://openalex.org/W2472970127","https://openalex.org/W2523864706","https://openalex.org/W2588875660","https://openalex.org/W2951229220","https://openalex.org/W2963855167"],"related_works":["https://openalex.org/W2406638334","https://openalex.org/W1991765889","https://openalex.org/W1990068454","https://openalex.org/W2472172556","https://openalex.org/W2943623134","https://openalex.org/W2118640767","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"The":[0],"rapid":[1],"development":[2],"of":[3,8,24,73,99,127,139,143],"sensor":[4,77,144],"networks":[5],"enables":[6],"recognition":[7,29],"complex":[9],"activities":[10],"(CAs)":[11],"using":[12,79],"multivariate":[13,74],"time":[14,68],"series.":[15],"However,":[16],"CAs":[17,39,92],"are":[18,103,121],"usually":[19],"performed":[20],"over":[21,67],"long":[22],"periods":[23],"time,":[25],"which":[26,63],"causes":[27],"slow":[28],"by":[30,69,155],"models":[31,89,102],"based":[32],"on":[33,106,133],"fully":[34],"observed":[35],"data.":[36],"Therefore,":[37],"predicting":[38],"at":[40],"early":[41],"stages":[42],"becomes":[43],"an":[44,61],"important":[45],"problem.":[46],"In":[47],"this":[48],"paper,":[49],"we":[50],"propose":[51],"Simultaneous":[52],"Complex":[53],"Activities":[54],"Recognition":[55],"and":[56,93,114,146],"Action":[57],"Sequence":[58],"Discovering":[59],"(SimRAD),":[60],"algorithm":[62],"predicts":[64,111],"a":[65,71,80,134,140],"CA":[66,113,136],"mining":[70],"sequence":[72],"actions":[75],"from":[76],"data":[78],"Deep":[81],"Neural":[82],"Network.":[83],"SimRAD":[84,109,151],"simultaneously":[85],"learns":[86],"two":[87,101],"probabilistic":[88],"for":[90],"inferring":[91],"action":[94,116],"sequences,":[95],"where":[96],"the":[97,100,112,115,119,125,128,147],"estimations":[98],"conditionally":[104],"dependent":[105],"each":[107],"other.":[108],"continuously":[110],"sequence,":[117],"thus":[118],"predictions":[120],"mutually":[122],"updated":[123],"until":[124],"end":[126],"CA.":[129],"We":[130],"conduct":[131],"evaluations":[132],"real-world":[135],"dataset":[137],"consisting":[138],"rich":[141],"amount":[142],"data,":[145],"results":[148],"show":[149],"that":[150],"outperforms":[152],"state-of-the-art":[153],"methods":[154],"average":[156],"7.2%":[157],"in":[158],"prediction":[159],"accuracy":[160],"with":[161],"high":[162],"confidence.":[163]},"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":5},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}