{"id":"https://openalex.org/W4292956162","doi":"https://doi.org/10.1145/3511808.3557460","title":"<scp>Stop&amp;Hop:</scp> Early Classification of Irregular Time Series","display_name":"<scp>Stop&amp;Hop:</scp> Early Classification of Irregular Time Series","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4292956162","doi":"https://doi.org/10.1145/3511808.3557460"},"language":"en","primary_location":{"id":"doi:10.1145/3511808.3557460","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3511808.3557460","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3511808.3557460","source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3511808.3557460","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075881948","display_name":"Thomas Hartvigsen","orcid":"https://orcid.org/0000-0002-5288-2792"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas Hartvigsen","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065984527","display_name":"Walter Gerych","orcid":"https://orcid.org/0000-0002-1194-1493"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Walter Gerych","raw_affiliation_strings":["Worcester Polytechnic Institute, Worcester, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute, Worcester, MA, USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033643173","display_name":"Jidapa Thadajarassiri","orcid":null},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jidapa Thadajarassiri","raw_affiliation_strings":["Worcester Polytechnic Institute, Worcester, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute, Worcester, MA, USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002930471","display_name":"Xiangnan Kong","orcid":"https://orcid.org/0000-0002-7403-5869"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiangnan Kong","raw_affiliation_strings":["Worcester Polytechnic Institute, Worcester, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute, Worcester, MA, USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008269094","display_name":"Elke A. Rundensteiner","orcid":"https://orcid.org/0000-0001-5375-9254"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elke Rundensteiner","raw_affiliation_strings":["Worcester Polytechnic Institute, Worcester, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute, Worcester, MA, USA","institution_ids":["https://openalex.org/I107077323"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"696","last_page":"705"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9944000244140625,"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/T13248","display_name":"Healthcare Technology and Patient Monitoring","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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":0.8005011081695557},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5742663145065308},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5664947032928467},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5388270616531372},{"id":"https://openalex.org/keywords/hop","display_name":"Hop (telecommunications)","score":0.5028876662254333},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4876748323440552},{"id":"https://openalex.org/keywords/doors","display_name":"Doors","score":0.4164399206638336},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11482062935829163}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8005011081695557},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5742663145065308},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5664947032928467},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5388270616531372},{"id":"https://openalex.org/C25906391","wikidata":"https://www.wikidata.org/wiki/Q1432381","display_name":"Hop (telecommunications)","level":2,"score":0.5028876662254333},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4876748323440552},{"id":"https://openalex.org/C125209513","wikidata":"https://www.wikidata.org/wiki/Q4037520","display_name":"Doors","level":2,"score":0.4164399206638336},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11482062935829163},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3511808.3557460","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3511808.3557460","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3511808.3557460","source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2208.09795","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2208.09795","pdf_url":"https://arxiv.org/pdf/2208.09795","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":null,"raw_type":"text"},{"id":"pmh:oai:dspace.mit.edu:1721.1/146498","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/146498","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ACM|Proceedings of the 31st ACM International Conference on Information and Knowledge Management CD-ROM","raw_type":"Article"},{"id":"doi:10.48550/arxiv.2208.09795","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2208.09795","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.1145/3511808.3557460","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3511808.3557460","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3511808.3557460","source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5945190869","display_name":"Collaborative Research: ELEMENTS: Tuning-free Anomaly Detection Service","funder_award_id":"2103832","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4292956162.pdf","grobid_xml":"https://content.openalex.org/works/W4292956162.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1973468302","https://openalex.org/W1978522669","https://openalex.org/W2002828701","https://openalex.org/W2041486528","https://openalex.org/W2162191950","https://openalex.org/W2285597872","https://openalex.org/W2342546612","https://openalex.org/W2397362117","https://openalex.org/W2403962807","https://openalex.org/W2765566334","https://openalex.org/W2951920403","https://openalex.org/W2963373106","https://openalex.org/W2968419071","https://openalex.org/W2997353686","https://openalex.org/W3022375718","https://openalex.org/W3080817222","https://openalex.org/W3099880896","https://openalex.org/W3112487832","https://openalex.org/W3133618741","https://openalex.org/W3173899333","https://openalex.org/W4226269440"],"related_works":["https://openalex.org/W3016239942","https://openalex.org/W2486091485","https://openalex.org/W4293365988","https://openalex.org/W2374188760","https://openalex.org/W2997934945","https://openalex.org/W2468876127","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Early":[0,13],"classification":[1,32,75,166],"algorithms":[2],"help":[3],"users":[4],"react":[5],"faster":[6],"to":[7,89,101,121,140,175,204],"their":[8,23,56],"machine":[9],"learning":[10],"model's":[11],"predictions.":[12],"warning":[14],"systems":[15,33,42],"in":[16,63,107,144,154,167],"hospitals,":[17],"for":[18,83,164,179],"example,":[19],"let":[20],"clinicians":[21],"improve":[22],"patients'":[24],"outcomes":[25],"by":[26],"accurately":[27],"predicting":[28],"infections.":[29],"While":[30],"early":[31,74,84,165,177],"are":[34,60],"advancing":[35],"rapidly,":[36],"a":[37,80,97,159],"major":[38],"gap":[39,71],"remains:":[40],"existing":[41],"do":[43],"not":[44],"consider":[45],"irregular":[46,77,104,180],"time":[47,78,105,172,181],"series,":[48,79],"which":[49],"have":[50],"uneven":[51],"and":[52,72,123,161,186,197],"often-long":[53],"gaps":[54],"between":[55],"observations.":[57],"Such":[58],"series":[59,106,143,173],"notoriously":[61],"pervasive":[62],"impactful":[64],"domains":[65],"like":[66],"healthcare.":[67],"We":[68],"bridge":[69],"this":[70,168,205],"study":[73],"of":[76,157],"new":[81,160,206],"setting":[82],"classifiers":[85],"that":[86,192],"opens":[87],"doors":[88],"more":[90],"real-world":[91,188],"problems.":[92],"Our":[93,208],"solution,":[94],"Stop&Hop,":[95],"uses":[96],"continuous-time":[98],"recurrent":[99],"network":[100],"model":[102],"ongoing":[103,142],"real":[108,145],"time,":[109],"while":[110],"an":[111],"irregularity-aware":[112],"halting":[113,134],"policy,":[114],"trained":[115],"with":[116,170],"reinforcement":[117],"learning,":[118],"predicts":[119],"when":[120,139],"stop":[122,141],"classify":[124],"the":[125,133,155,171],"streaming":[126],"series.":[127,182],"By":[128],"taking":[129],"real-valued":[130],"step":[131],"sizes,":[132],"policy":[135],"flexibly":[136],"decides":[137],"exactly":[138],"time.":[146],"This":[147],"way,":[148],"Stop&Hop":[149,193],"seamlessly":[150],"integrates":[151],"information":[152],"contained":[153],"timing":[156],"observations,":[158],"vital":[162],"source":[163],"setting,":[169],"values":[174],"provide":[176],"classifications":[178],"Using":[183],"four":[184],"synthetic":[185],"three":[187],"datasets,":[189],"we":[190],"demonstrate":[191],"consistently":[194],"makes":[195],"earlier":[196],"more-accurate":[198],"predictions":[199],"than":[200],"state-of-the-art":[201],"alternatives":[202],"adapted":[203],"problem.":[207],"code":[209],"is":[210],"publicly":[211],"available":[212],"at":[213],"https://github.com/thartvigsen/StopAndHop.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2022-08-24T00:00:00"}