{"id":"https://openalex.org/W3180521668","doi":"https://doi.org/10.1109/lra.2021.3091012","title":"AutoSS: A Deep Learning-Based Soft Sensor for Handling Time-Series Input Data","display_name":"AutoSS: A Deep Learning-Based Soft Sensor for Handling Time-Series Input Data","publication_year":2021,"publication_date":"2021-07-01","ids":{"openalex":"https://openalex.org/W3180521668","doi":"https://doi.org/10.1109/lra.2021.3091012","mag":"3180521668"},"language":"en","primary_location":{"id":"doi:10.1109/lra.2021.3091012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2021.3091012","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766","2377-3774"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-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/A5044859396","display_name":"Nicol\u00f3 Bargellesi","orcid":null},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nicolo Bargellesi","raw_affiliation_strings":["Department of Information Engineering, University of Padua, Padua, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padua, Padua, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043391732","display_name":"Alessandro Beghi","orcid":"https://orcid.org/0000-0003-2252-2179"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandro Beghi","raw_affiliation_strings":["Department of Information Engineering, University of Padua, Padua, Italy","Human-Inspired Technology Research Center, University of Padua, Padua, Italy"],"raw_orcid":"https://orcid.org/0000-0003-2252-2179","affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padua, Padua, Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Human-Inspired Technology Research Center, University of Padua, Padua, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053243136","display_name":"Mirco Rampazzo","orcid":"https://orcid.org/0000-0003-0881-0131"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mirco Rampazzo","raw_affiliation_strings":["Department of Information Engineering, University of Padua, Padua, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padua, Padua, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026617079","display_name":"Gian Antonio Susto","orcid":"https://orcid.org/0000-0001-5739-9639"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gian Antonio Susto","raw_affiliation_strings":["Department of Information Engineering, University of Padua, Padua, Italy","Human-Inspired Technology Research Center, University of Padua, Padua, Italy"],"raw_orcid":"https://orcid.org/0000-0001-5739-9639","affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padua, Padua, Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Human-Inspired Technology Research Center, University of Padua, Padua, Italy","institution_ids":["https://openalex.org/I138689650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I138689650"],"apc_list":null,"apc_paid":null,"fwci":0.7593,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.67883352,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"6","issue":"3","first_page":"6100","last_page":"6107"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9983000159263611,"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":0.9983000159263611,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9886999726295471,"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9815000295639038,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.778326153755188},{"id":"https://openalex.org/keywords/soft-sensor","display_name":"Soft sensor","score":0.6963056921958923},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.664414644241333},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5771465301513672},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.564914345741272},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5313796401023865},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5307417511940002},{"id":"https://openalex.org/keywords/soft-computing","display_name":"Soft computing","score":0.5106943249702454},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4829265773296356},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48217883706092834},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47533512115478516},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4430927634239197},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39974045753479004},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.350613534450531},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2526913285255432}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.778326153755188},{"id":"https://openalex.org/C115575686","wikidata":"https://www.wikidata.org/wiki/Q18822403","display_name":"Soft sensor","level":3,"score":0.6963056921958923},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.664414644241333},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5771465301513672},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.564914345741272},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5313796401023865},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5307417511940002},{"id":"https://openalex.org/C140073362","wikidata":"https://www.wikidata.org/wiki/Q738759","display_name":"Soft computing","level":3,"score":0.5106943249702454},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4829265773296356},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48217883706092834},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47533512115478516},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4430927634239197},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39974045753479004},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.350613534450531},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2526913285255432},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lra.2021.3091012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2021.3091012","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766","2377-3774"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-article"},{"id":"pmh:oai:www.research.unipd.it:11577/3397355","is_oa":false,"landing_page_url":"http://hdl.handle.net/11577/3397355","pdf_url":null,"source":{"id":"https://openalex.org/S4306402547","display_name":"Padua Research Archive (University of Padova)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"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":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G5417130124","display_name":null,"funder_award_id":"232/2016","funder_id":"https://openalex.org/F4320321873","funder_display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca"}],"funders":[{"id":"https://openalex.org/F4320321873","display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca","ror":"https://ror.org/0166hxq48"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2063100141","https://openalex.org/W2079518405","https://openalex.org/W2194775991","https://openalex.org/W2342724584","https://openalex.org/W2519091744","https://openalex.org/W2557283755","https://openalex.org/W2606176153","https://openalex.org/W2788805965","https://openalex.org/W2789290525","https://openalex.org/W2897765576","https://openalex.org/W2945658292","https://openalex.org/W2949382160","https://openalex.org/W2988720209","https://openalex.org/W2990223215","https://openalex.org/W2996552856","https://openalex.org/W2998094656","https://openalex.org/W3010079658","https://openalex.org/W3015966228","https://openalex.org/W3048582611","https://openalex.org/W3082433520","https://openalex.org/W3128452405","https://openalex.org/W3149973173","https://openalex.org/W4206060008","https://openalex.org/W6736723571","https://openalex.org/W6763309814","https://openalex.org/W6790587931","https://openalex.org/W6793541371","https://openalex.org/W6797674293"],"related_works":["https://openalex.org/W4380075502","https://openalex.org/W4223943233","https://openalex.org/W4312200629","https://openalex.org/W4360585206","https://openalex.org/W4315783664","https://openalex.org/W2946016983","https://openalex.org/W2968586400","https://openalex.org/W2942650110","https://openalex.org/W4226032261","https://openalex.org/W4281986673"],"abstract_inverted_index":{"Soft":[0],"Sensors":[1],"are":[2,13],"data-driven":[3],"technologies":[4],"that":[5,12,35,83],"allow":[6],"to":[7,17,38,85,101,124],"have":[8],"estimations":[9],"of":[10,23,70,114,126],"quantities":[11],"impossible":[14],"or":[15],"costly":[16],"be":[18],"measured.":[19],"Unfortunately,":[20],"the":[21,63,68],"design":[22],"effective":[24,103],"soft":[25,60,104],"sensors":[26],"is":[27,116],"heavily":[28],"impacted":[29],"by":[30],"time-consuming":[31],"feature":[32,57,64],"engineering":[33],"steps":[34],"may":[36,51],"lead":[37],"sub-optimal":[39],"information,":[40],"especially":[41],"when":[42,55],"dealing":[43],"with":[44,108],"time-series":[45,109],"input":[46,110],"data.":[47,111],"While":[48],"domain":[49],"knowledge":[50],"come":[52],"into":[53],"help":[54],"handling":[56],"extraction":[58,65],"in":[59,73],"sensing":[61,105],"applications,":[62],"typically":[66],"limits":[67],"adoption":[69],"such":[71,87],"technologies:":[72],"this":[74],"work,":[75],"we":[76],"propose":[77],"AutoSS,":[78],"a":[79,119],"Deep-Learning":[80],"based":[81],"approach":[82],"allows":[84,100],"overcome":[86],"issue.":[88],"By":[89],"exploiting":[90],"autoencoders,":[91],"dilated":[92],"convolutions":[93],"and":[94],"an":[95],"ad-hoc":[96],"defined":[97],"architecture,":[98],"AutoSS":[99,115],"develop":[102],"modules":[106],"even":[107],"The":[112],"effectiveness":[113],"demonstrated":[117],"on":[118],"real-world":[120],"case":[121],"study":[122],"related":[123],"Internet":[125],"Things":[127],"equipment.":[128]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2021-07-19T00:00:00"}
