{"id":"https://openalex.org/W2963304300","doi":"https://doi.org/10.1117/12.2309486","title":"Classification of time-series images using deep convolutional neural networks","display_name":"Classification of time-series images using deep convolutional neural networks","publication_year":2018,"publication_date":"2018-04-13","ids":{"openalex":"https://openalex.org/W2963304300","doi":"https://doi.org/10.1117/12.2309486","mag":"2963304300"},"language":"en","primary_location":{"id":"doi:10.1117/12.2309486","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2309486","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Tenth International Conference on Machine Vision (ICMV 2017)","raw_type":"proceedings-article"},"type":"preprint","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/A5076812231","display_name":"Johan Debayle","orcid":"https://orcid.org/0000-0002-9593-0467"},"institutions":[{"id":"https://openalex.org/I3019848993","display_name":"Mines Saint-\u00c9tienne","ror":"https://ror.org/05a1dws80","country_code":"FR","type":"education","lineage":["https://openalex.org/I203339264","https://openalex.org/I205703379","https://openalex.org/I3019848993"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I4210111688","display_name":"Georges Friedel Laboratory","ror":"https://ror.org/01prxdf57","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I203339264","https://openalex.org/I205703379","https://openalex.org/I3019848993","https://openalex.org/I4210095849","https://openalex.org/I4210111688"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Johan Debayle","raw_affiliation_strings":["Ecole Nationale Sup\u00e9rieure des Mines de Saint-\u00c9tienne (France)","PMMG-ENSMSE - D\u00e9partement Proc\u00e9d\u00e9s de Mise en oeuvre des Milieux Granulaires (158, cours Fauriel F-42023 SAINT-\u00c9TIENNE cedex 2 - France)","LGF-ENSMSE - Laboratoire Georges Friedel (158, cours Fauriel F-42023 Saint-\u00c9tienne cedex 2 - France)","Universit\u00e9 de Lyon (92 rue Pasteur - CS 30122, 69361 Lyon Cedex 07 - France)","Mines Saint-\u00c9tienne MSE - \u00c9cole des Mines de Saint-\u00c9tienne (158, Cours Fauriel - 42023 Saint \u00c9tienne cedex 2 - France)","SPIN-ENSMSE - Centre Sciences des Processus Industriels et Naturels (158, cours Fauriel F-42023 Saint-\u00c9tienne cedex 2 - France)","CNRS - Centre National de la Recherche Scientifique (France)"],"affiliations":[{"raw_affiliation_string":"Ecole Nationale Sup\u00e9rieure des Mines de Saint-\u00c9tienne (France)","institution_ids":["https://openalex.org/I3019848993"]},{"raw_affiliation_string":"PMMG-ENSMSE - D\u00e9partement Proc\u00e9d\u00e9s de Mise en oeuvre des Milieux Granulaires (158, cours Fauriel F-42023 SAINT-\u00c9TIENNE cedex 2 - France)","institution_ids":["https://openalex.org/I3019848993"]},{"raw_affiliation_string":"LGF-ENSMSE - Laboratoire Georges Friedel (158, cours Fauriel F-42023 Saint-\u00c9tienne cedex 2 - France)","institution_ids":["https://openalex.org/I4210111688","https://openalex.org/I3019848993"]},{"raw_affiliation_string":"Universit\u00e9 de Lyon (92 rue Pasteur - CS 30122, 69361 Lyon Cedex 07 - France)","institution_ids":["https://openalex.org/I100532134"]},{"raw_affiliation_string":"Mines Saint-\u00c9tienne MSE - \u00c9cole des Mines de Saint-\u00c9tienne (158, Cours Fauriel - 42023 Saint \u00c9tienne cedex 2 - France)","institution_ids":["https://openalex.org/I3019848993"]},{"raw_affiliation_string":"SPIN-ENSMSE - Centre Sciences des Processus Industriels et Naturels (158, cours Fauriel F-42023 Saint-\u00c9tienne cedex 2 - France)","institution_ids":["https://openalex.org/I3019848993"]},{"raw_affiliation_string":"CNRS - Centre National de la Recherche Scientifique (France)","institution_ids":["https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108071774","display_name":"Nima Hatami","orcid":null},"institutions":[{"id":"https://openalex.org/I3019848993","display_name":"Mines Saint-\u00c9tienne","ror":"https://ror.org/05a1dws80","country_code":"FR","type":"education","lineage":["https://openalex.org/I203339264","https://openalex.org/I205703379","https://openalex.org/I3019848993"]},{"id":"https://openalex.org/I4210111688","display_name":"Georges Friedel Laboratory","ror":"https://ror.org/01prxdf57","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I203339264","https://openalex.org/I205703379","https://openalex.org/I3019848993","https://openalex.org/I4210095849","https://openalex.org/I4210111688"]},{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nima Hatami","raw_affiliation_strings":["Ecole Nationale Sup\u00e9rieure des Mines de Saint-\u00c9tienne (France)","SPIN-ENSMSE - Centre Sciences des Processus Industriels et Naturels (158, cours Fauriel F-42023 Saint-\u00c9tienne cedex 2 - France)","Universit\u00e9 de Lyon (92 rue Pasteur - CS 30122, 69361 Lyon Cedex 07 - France)","Mines Saint-\u00c9tienne MSE - \u00c9cole des Mines de Saint-\u00c9tienne (158, Cours Fauriel - 42023 Saint \u00c9tienne cedex 2 - France)","LGF-ENSMSE - Laboratoire Georges Friedel (158, cours Fauriel F-42023 Saint-\u00c9tienne cedex 2 - France)","CNRS - Centre National de la Recherche Scientifique (France)","PMMG-ENSMSE - D\u00e9partement Proc\u00e9d\u00e9s de Mise en oeuvre des Milieux Granulaires (158, cours Fauriel F-42023 SAINT-\u00c9TIENNE cedex 2 - France)"],"affiliations":[{"raw_affiliation_string":"Ecole Nationale Sup\u00e9rieure des Mines de Saint-\u00c9tienne (France)","institution_ids":["https://openalex.org/I3019848993"]},{"raw_affiliation_string":"SPIN-ENSMSE - Centre Sciences des Processus Industriels et Naturels (158, cours Fauriel F-42023 Saint-\u00c9tienne cedex 2 - France)","institution_ids":["https://openalex.org/I3019848993"]},{"raw_affiliation_string":"Universit\u00e9 de Lyon (92 rue Pasteur - CS 30122, 69361 Lyon Cedex 07 - France)","institution_ids":["https://openalex.org/I100532134"]},{"raw_affiliation_string":"Mines Saint-\u00c9tienne MSE - \u00c9cole des Mines de Saint-\u00c9tienne (158, Cours Fauriel - 42023 Saint \u00c9tienne cedex 2 - France)","institution_ids":["https://openalex.org/I3019848993"]},{"raw_affiliation_string":"LGF-ENSMSE - Laboratoire Georges Friedel (158, cours Fauriel F-42023 Saint-\u00c9tienne cedex 2 - France)","institution_ids":["https://openalex.org/I4210111688","https://openalex.org/I3019848993"]},{"raw_affiliation_string":"CNRS - Centre National de la Recherche Scientifique (France)","institution_ids":["https://openalex.org/I1294671590"]},{"raw_affiliation_string":"PMMG-ENSMSE - D\u00e9partement Proc\u00e9d\u00e9s de Mise en oeuvre des Milieux Granulaires (158, cours Fauriel F-42023 SAINT-\u00c9TIENNE cedex 2 - France)","institution_ids":["https://openalex.org/I3019848993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029330414","display_name":"Yann Gavet","orcid":"https://orcid.org/0000-0002-2248-8938"},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I3019848993","display_name":"Mines Saint-\u00c9tienne","ror":"https://ror.org/05a1dws80","country_code":"FR","type":"education","lineage":["https://openalex.org/I203339264","https://openalex.org/I205703379","https://openalex.org/I3019848993"]},{"id":"https://openalex.org/I4210111688","display_name":"Georges Friedel Laboratory","ror":"https://ror.org/01prxdf57","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I203339264","https://openalex.org/I205703379","https://openalex.org/I3019848993","https://openalex.org/I4210095849","https://openalex.org/I4210111688"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yann Gavet","raw_affiliation_strings":["Ecole Nationale Sup\u00e9rieure des Mines de Saint-\u00c9tienne (France)","PMMG-ENSMSE - D\u00e9partement Proc\u00e9d\u00e9s de Mise en oeuvre des Milieux Granulaires (158, cours Fauriel F-42023 SAINT-\u00c9TIENNE cedex 2 - France)","SPIN-ENSMSE - Centre Sciences des Processus Industriels et Naturels (158, cours Fauriel F-42023 Saint-\u00c9tienne cedex 2 - France)","LGF-ENSMSE - Laboratoire Georges Friedel (158, cours Fauriel F-42023 Saint-\u00c9tienne cedex 2 - France)","Universit\u00e9 de Lyon (92 rue Pasteur - CS 30122, 69361 Lyon Cedex 07 - France)","Mines Saint-\u00c9tienne MSE - \u00c9cole des Mines de Saint-\u00c9tienne (158, Cours Fauriel - 42023 Saint \u00c9tienne cedex 2 - France)","CNRS - Centre National de la Recherche Scientifique (France)"],"affiliations":[{"raw_affiliation_string":"Ecole Nationale Sup\u00e9rieure des Mines de Saint-\u00c9tienne (France)","institution_ids":["https://openalex.org/I3019848993"]},{"raw_affiliation_string":"PMMG-ENSMSE - D\u00e9partement Proc\u00e9d\u00e9s de Mise en oeuvre des Milieux Granulaires (158, cours Fauriel F-42023 SAINT-\u00c9TIENNE cedex 2 - France)","institution_ids":["https://openalex.org/I3019848993"]},{"raw_affiliation_string":"SPIN-ENSMSE - Centre Sciences des Processus Industriels et Naturels (158, cours Fauriel F-42023 Saint-\u00c9tienne cedex 2 - France)","institution_ids":["https://openalex.org/I3019848993"]},{"raw_affiliation_string":"LGF-ENSMSE - Laboratoire Georges Friedel (158, cours Fauriel F-42023 Saint-\u00c9tienne cedex 2 - France)","institution_ids":["https://openalex.org/I4210111688","https://openalex.org/I3019848993"]},{"raw_affiliation_string":"Universit\u00e9 de Lyon (92 rue Pasteur - CS 30122, 69361 Lyon Cedex 07 - France)","institution_ids":["https://openalex.org/I100532134"]},{"raw_affiliation_string":"Mines Saint-\u00c9tienne MSE - \u00c9cole des Mines de Saint-\u00c9tienne (158, Cours Fauriel - 42023 Saint \u00c9tienne cedex 2 - France)","institution_ids":["https://openalex.org/I3019848993"]},{"raw_affiliation_string":"CNRS - Centre National de la Recherche Scientifique (France)","institution_ids":["https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076812231"],"corresponding_institution_ids":["https://openalex.org/I3019848993","https://openalex.org/I1294671590","https://openalex.org/I100532134","https://openalex.org/I4210111688"],"apc_list":null,"apc_paid":null,"fwci":26.91081244,"has_fulltext":false,"cited_by_count":266,"citation_normalized_percentile":{"value":0.99734836,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"23","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9940000176429749,"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/T11309","display_name":"Music and Audio Processing","score":0.9876000285148621,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7974189519882202},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7854076027870178},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.755980908870697},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6948254704475403},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6831107139587402},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5839139223098755},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5023496150970459},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4471116065979004},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.44084206223487854},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.42462679743766785},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42378729581832886},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41577839851379395},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40223824977874756},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30880993604660034}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7974189519882202},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7854076027870178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.755980908870697},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6948254704475403},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6831107139587402},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5839139223098755},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5023496150970459},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4471116065979004},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.44084206223487854},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.42462679743766785},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42378729581832886},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41577839851379395},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40223824977874756},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30880993604660034},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2309486","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2309486","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Tenth International Conference on Machine Vision (ICMV 2017)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W119403003","https://openalex.org/W140867740","https://openalex.org/W1078725845","https://openalex.org/W1686810756","https://openalex.org/W1699074795","https://openalex.org/W1971151851","https://openalex.org/W1973366456","https://openalex.org/W1981982281","https://openalex.org/W1984541135","https://openalex.org/W2008348094","https://openalex.org/W2016053056","https://openalex.org/W2026909728","https://openalex.org/W2039459330","https://openalex.org/W2081681829","https://openalex.org/W2086226917","https://openalex.org/W2099593264","https://openalex.org/W2101713460","https://openalex.org/W2103769069","https://openalex.org/W2107789863","https://openalex.org/W2112796928","https://openalex.org/W2133693888","https://openalex.org/W2141536962","https://openalex.org/W2143612262","https://openalex.org/W2146744682","https://openalex.org/W2155273149","https://openalex.org/W2156372254","https://openalex.org/W2163605009","https://openalex.org/W2188183693","https://openalex.org/W2288074780","https://openalex.org/W2306394264","https://openalex.org/W2400921766","https://openalex.org/W2402972623","https://openalex.org/W3106355559","https://openalex.org/W3208133533","https://openalex.org/W6604801135","https://openalex.org/W6605731719","https://openalex.org/W6627077943","https://openalex.org/W6637373629","https://openalex.org/W6637558073","https://openalex.org/W6643606927","https://openalex.org/W6656912267","https://openalex.org/W6675357634","https://openalex.org/W6676071220","https://openalex.org/W6676622225","https://openalex.org/W6679901780","https://openalex.org/W6683194454","https://openalex.org/W6684191040","https://openalex.org/W6687145378","https://openalex.org/W6696429117","https://openalex.org/W6698169118","https://openalex.org/W6712760614","https://openalex.org/W6712966521","https://openalex.org/W6759638512","https://openalex.org/W6785472691","https://openalex.org/W6802821011"],"related_works":["https://openalex.org/W2911497689","https://openalex.org/W2952813363","https://openalex.org/W2963346891","https://openalex.org/W4360783045","https://openalex.org/W2770149305","https://openalex.org/W3167930666","https://openalex.org/W3014952856","https://openalex.org/W3010730661","https://openalex.org/W2005234362","https://openalex.org/W1997235926"],"abstract_inverted_index":{"Convolutional":[0],"Neural":[1],"Networks":[2],"(CNN)":[3],"has":[4],"achieved":[5],"a":[6,16,95,106],"great":[7],"success":[8],"in":[9,105],"image":[10,81],"recognition":[11,82,114],"task":[12],"by":[13],"automatically":[14],"learning":[15,88],"hierarchical":[17],"feature":[18,64],"representation":[19,59],"from":[20],"raw":[21],"data.":[22],"While":[23],"the":[24,54,113,121,130,137,144],"majority":[25],"of":[26,53,60,91,116,129],"Time-Series":[27],"Classification":[28],"(TSC)":[29],"literature":[30],"is":[31,109],"focused":[32],"on":[33,120],"1D":[34,71],"signals,":[35,72],"this":[36],"paper":[37],"uses":[38],"Recurrence":[39],"Plots":[40],"(RP)":[41],"to":[42,111,136,143],"transform":[43],"time-series":[44,61,123],"into":[45],"2D":[46],"texture":[47,80],"images":[48],"and":[49,73,98,103],"then":[50],"take":[51],"advantage":[52],"deep":[55,139],"CNN":[56,84,104],"classifier.":[57],"Image":[58],"introduces":[62],"different":[63,89],"types":[65],"that":[66],"are":[67],"not":[68,134],"available":[69],"for":[70],"therefore":[74],"TSC":[75,147],"can":[76],"be":[77],"treated":[78],"as":[79],"task.":[83],"model":[85],"also":[86,142],"allows":[87],"levels":[90],"representations":[92],"together":[93],"with":[94],"classifier,":[96],"jointly":[97],"automatically.":[99],"Therefore,":[100],"using":[101],"RP":[102],"unified":[107],"framework":[108],"expected":[110],"boost":[112],"rate":[115],"TSC.":[117],"Experimental":[118],"results":[119],"UCR":[122],"classification":[124],"archive":[125],"demonstrate":[126],"competitive":[127],"accuracy":[128],"proposed":[131],"approach,":[132],"compared":[133],"only":[135],"existing":[138],"architectures,":[140],"but":[141],"state-of-the":[145],"art":[146],"algorithms.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":41},{"year":2022,"cited_by_count":38},{"year":2021,"cited_by_count":56},{"year":2020,"cited_by_count":63},{"year":2019,"cited_by_count":23},{"year":2018,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
