{"id":"https://openalex.org/W3015963521","doi":"https://doi.org/10.1109/icassp40776.2020.9054121","title":"Neural Time Warping for Multiple Sequence Alignment","display_name":"Neural Time Warping for Multiple Sequence Alignment","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015963521","doi":"https://doi.org/10.1109/icassp40776.2020.9054121","mag":"3015963521"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9054121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5106723033","display_name":"Keisuke Kawano","orcid":"https://orcid.org/0000-0003-4110-5848"},"institutions":[{"id":"https://openalex.org/I1293612202","display_name":"Toyota Motor Corporation (Switzerland)","ror":"https://ror.org/05p0pbv75","country_code":"CH","type":"company","lineage":["https://openalex.org/I1293612202","https://openalex.org/I4210125472","https://openalex.org/I4210137853"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Keisuke Kawano","raw_affiliation_strings":["Toyota Central R&D Labs. Inc"],"affiliations":[{"raw_affiliation_string":"Toyota Central R&D Labs. Inc","institution_ids":["https://openalex.org/I1293612202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012936801","display_name":"Takuro Kutsuna","orcid":"https://orcid.org/0000-0001-6965-1512"},"institutions":[{"id":"https://openalex.org/I1293612202","display_name":"Toyota Motor Corporation (Switzerland)","ror":"https://ror.org/05p0pbv75","country_code":"CH","type":"company","lineage":["https://openalex.org/I1293612202","https://openalex.org/I4210125472","https://openalex.org/I4210137853"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Takuro Kutsuna","raw_affiliation_strings":["Toyota Central R&D Labs. Inc"],"affiliations":[{"raw_affiliation_string":"Toyota Central R&D Labs. Inc","institution_ids":["https://openalex.org/I1293612202"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009788491","display_name":"Satoshi Koide","orcid":"https://orcid.org/0000-0002-8214-3122"},"institutions":[{"id":"https://openalex.org/I1293612202","display_name":"Toyota Motor Corporation (Switzerland)","ror":"https://ror.org/05p0pbv75","country_code":"CH","type":"company","lineage":["https://openalex.org/I1293612202","https://openalex.org/I4210125472","https://openalex.org/I4210137853"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Satoshi Koide","raw_affiliation_strings":["Toyota Central R&D Labs. Inc"],"affiliations":[{"raw_affiliation_string":"Toyota Central R&D Labs. Inc","institution_ids":["https://openalex.org/I1293612202"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5106723033"],"corresponding_institution_ids":["https://openalex.org/I1293612202"],"apc_list":null,"apc_paid":null,"fwci":0.3031,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.51593153,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"3837","last_page":"3841"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9997000098228455,"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":0.9997000098228455,"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/T11309","display_name":"Music and Audio Processing","score":0.9950000047683716,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9657999873161316,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.7602574825286865},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6281205415725708},{"id":"https://openalex.org/keywords/dynamic-programming","display_name":"Dynamic programming","score":0.6198203563690186},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6055357456207275},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.585898220539093},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.583006739616394},{"id":"https://openalex.org/keywords/image-warping","display_name":"Image warping","score":0.5250242352485657},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5226033329963684},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5164992213249207},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4982452392578125},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.46926918625831604},{"id":"https://openalex.org/keywords/multiple-sequence-alignment","display_name":"Multiple sequence alignment","score":0.4617491066455841},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.425624817609787},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.41827476024627686},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34512922167778015},{"id":"https://openalex.org/keywords/sequence-alignment","display_name":"Sequence alignment","score":0.27064040303230286},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21454977989196777}],"concepts":[{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.7602574825286865},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6281205415725708},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.6198203563690186},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6055357456207275},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.585898220539093},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.583006739616394},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.5250242352485657},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5226033329963684},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5164992213249207},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4982452392578125},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.46926918625831604},{"id":"https://openalex.org/C88031987","wikidata":"https://www.wikidata.org/wiki/Q1377767","display_name":"Multiple sequence alignment","level":5,"score":0.4617491066455841},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.425624817609787},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.41827476024627686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34512922167778015},{"id":"https://openalex.org/C45484198","wikidata":"https://www.wikidata.org/wiki/Q827246","display_name":"Sequence alignment","level":4,"score":0.27064040303230286},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21454977989196777},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C167625842","wikidata":"https://www.wikidata.org/wiki/Q899763","display_name":"Peptide sequence","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9054121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1665214252","https://openalex.org/W1963540633","https://openalex.org/W2055043387","https://openalex.org/W2108482774","https://openalex.org/W2117973875","https://openalex.org/W2128160875","https://openalex.org/W2132585078","https://openalex.org/W2168125982","https://openalex.org/W2434537049","https://openalex.org/W2797057408","https://openalex.org/W2899771611","https://openalex.org/W2923846981","https://openalex.org/W2962727772","https://openalex.org/W2963446712","https://openalex.org/W2963642716","https://openalex.org/W2964121744","https://openalex.org/W4236236547","https://openalex.org/W4289106758","https://openalex.org/W6631190155","https://openalex.org/W6637242042","https://openalex.org/W6638908295","https://openalex.org/W6640764460","https://openalex.org/W6676342998","https://openalex.org/W6756040250","https://openalex.org/W6756780969"],"related_works":["https://openalex.org/W2347413598","https://openalex.org/W2330863229","https://openalex.org/W71572444","https://openalex.org/W1997383766","https://openalex.org/W2154472250","https://openalex.org/W2350336482","https://openalex.org/W1482324242","https://openalex.org/W2362065912","https://openalex.org/W2367646230","https://openalex.org/W2353445236"],"abstract_inverted_index":{"Multiple":[0],"sequence":[1],"alignment":[2],"(MSA)":[3],"is":[4,17,27,72,85],"a":[5,19,64,69,89,108],"traditional":[6],"and":[7,111],"still":[8],"challenging":[9],"task":[10],"for":[11,29,116],"time-series":[12],"analyses.":[13],"The":[14],"MSA":[15,62,119],"problem":[16,96],"intrinsically":[18],"discrete":[20,95],"optimization":[21],"and,":[22],"in":[23,67],"principle,":[24],"dynamic":[25],"programming":[26],"available":[28],"solving":[30,117],"MSA.":[31],"However,":[32],"the":[33,42,60,76,81,93,118],"computation":[34],"complexity":[35],"of":[36,44,83,92],"such":[37],"algorithms":[38],"increases":[39],"exponentially":[40],"with":[41],"number":[43],"sequences":[45,110],"to":[46,63,74,87],"be":[47,88],"aligned.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52],"propose":[53],"neural":[54,70],"time":[55],"warping":[56],"(NTW)":[57],"that":[58,80,104],"relaxes":[59],"original":[61,94],"continuous":[65],"optimization,":[66],"which":[68],"network":[71],"used":[73],"model":[75],"alignment.":[77],"We":[78],"show":[79],"solution":[82,91],"NTW":[84,105],"guaranteed":[86],"feasible":[90],"under":[97],"mild":[98],"conditions.":[99],"Our":[100],"experimental":[101],"results":[102],"suggest":[103],"successfully":[106],"aligns":[107],"hundred":[109],"significantly":[112],"outperforms":[113],"existing":[114],"methods":[115],"problem.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}