{"id":"https://openalex.org/W4409363686","doi":"https://doi.org/10.1609/aaai.v39i18.34173","title":"DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis","display_name":"DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis","publication_year":2025,"publication_date":"2025-04-11","ids":{"openalex":"https://openalex.org/W4409363686","doi":"https://doi.org/10.1609/aaai.v39i18.34173"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v39i18.34173","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v39i18.34173","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/34173/36328","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/34173/36328","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061688087","display_name":"YongKyung Oh","orcid":"https://orcid.org/0000-0002-8027-3433"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"YongKyung Oh","raw_affiliation_strings":["University of California, Los Angeles (UCLA)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles (UCLA)","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007374242","display_name":"Dong\u2010Young Lim","orcid":"https://orcid.org/0000-0002-4677-965X"},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dong-Young Lim","raw_affiliation_strings":["Ulsan National Institute of Science and Technology (UNIST)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ulsan National Institute of Science and Technology (UNIST)","institution_ids":["https://openalex.org/I48566637"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101669196","display_name":"Sung\u2010Il Kim","orcid":"https://orcid.org/0000-0003-3756-2800"},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungil Kim","raw_affiliation_strings":["Ulsan National Institute of Science and Technology (UNIST)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ulsan National Institute of Science and Technology (UNIST)","institution_ids":["https://openalex.org/I48566637"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":19.9422,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.99386968,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"39","issue":"18","first_page":"19730","last_page":"19739"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9408000111579895,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9408000111579895,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9271000027656555,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.919700026512146,"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/series","display_name":"Series (stratigraphy)","score":0.6430040597915649},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4570891559123993},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34166592359542847},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12312662601470947}],"concepts":[{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6430040597915649},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4570891559123993},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34166592359542847},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12312662601470947},{"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:10.1609/aaai.v39i18.34173","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v39i18.34173","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/34173/36328","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v39i18.34173","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v39i18.34173","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/34173/36328","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322107","display_name":"Korea Health Industry Development Institute","ror":"https://ror.org/00fdzyk40"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409363686.pdf","grobid_xml":"https://content.openalex.org/works/W4409363686.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027"],"abstract_inverted_index":{"Real-world":[0],"time":[1,113],"series":[2,88,114],"analysis":[3,115],"faces":[4],"significant":[5],"challenges":[6],"when":[7],"dealing":[8],"with":[9,26,41,96],"irregular":[10,42,112],"and":[11,31,55,94],"incomplete":[12],"data.":[13,43],"While":[14],"Neural":[15,35,56],"Differential":[16],"Equation":[17],"(NDE)":[18],"based":[19],"methods":[20],"have":[21],"shown":[22],"promise,":[23],"they":[24],"struggle":[25],"limited":[27],"expressiveness,":[28],"scalability":[29],"issues,":[30],"stability":[32,38],"concerns.":[33],"Conversely,":[34],"Flows":[36],"offer":[37],"but":[39],"falter":[40],"We":[44,74],"introduce":[45],"'DualDynamics',":[46],"a":[47],"novel":[48],"framework":[49],"that":[50],"synergistically":[51],"combines":[52],"NDE-based":[53],"method":[54],"Flow-based":[57],"method.":[58],"This":[59],"approach":[60],"enhances":[61],"expressive":[62],"power":[63],"while":[64],"balancing":[65],"computational":[66],"demands,":[67],"addressing":[68],"critical":[69],"limitations":[70],"of":[71,82,91],"existing":[72],"techniques.":[73],"demonstrate":[75],"DualDynamics'":[76,108],"effectiveness":[77],"across":[78],"diverse":[79],"tasks:":[80],"classification":[81],"robustness":[83],"to":[84,110],"dataset":[85],"shift,":[86],"irregularly-sampled":[87],"analysis,":[89],"interpolation":[90],"missing":[92],"data,":[93],"forecasting":[95],"partial":[97],"observations.":[98],"Our":[99],"results":[100],"show":[101],"consistent":[102],"outperformance":[103],"over":[104],"state-of-the-art":[105],"methods,":[106],"indicating":[107],"potential":[109],"advance":[111],"significantly.":[116]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3}],"updated_date":"2026-08-08T01:25:22.217667","created_date":"2025-10-10T00:00:00"}