{"id":"https://openalex.org/W3088240102","doi":"https://doi.org/10.1109/sips50750.2020.9195244","title":"Optimization of Probabilistic Switching Models Based on a Two-Step Clustering Approach","display_name":"Optimization of Probabilistic Switching Models Based on a Two-Step Clustering Approach","publication_year":2020,"publication_date":"2020-09-23","ids":{"openalex":"https://openalex.org/W3088240102","doi":"https://doi.org/10.1109/sips50750.2020.9195244","mag":"3088240102"},"language":"en","primary_location":{"id":"doi:10.1109/sips50750.2020.9195244","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sips50750.2020.9195244","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Workshop on Signal Processing Systems (SiPS)","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/A5023034788","display_name":"Hafsa Iqbal","orcid":"https://orcid.org/0000-0002-1773-8066"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Hafsa Iqbal","raw_affiliation_strings":["Dept. of Naval, Electrical, Electronics and Telecommunications Engineering, University of Genoa, Genoa, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Naval, Electrical, Electronics and Telecommunications Engineering, University of Genoa, Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007586148","display_name":"Damian Campo","orcid":"https://orcid.org/0000-0003-3720-9759"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Damian Campo","raw_affiliation_strings":["Dept. of Naval, Electrical, Electronics and Telecommunications Engineering, University of Genoa, Genoa, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Naval, Electrical, Electronics and Telecommunications Engineering, University of Genoa, Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048444161","display_name":"Giulia Slavic","orcid":"https://orcid.org/0000-0003-3641-3483"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giulia Slavic","raw_affiliation_strings":["Dept. of Naval, Electrical, Electronics and Telecommunications Engineering, University of Genoa, Genoa, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Naval, Electrical, Electronics and Telecommunications Engineering, University of Genoa, Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019722167","display_name":"Lucio Marcenaro","orcid":"https://orcid.org/0000-0003-1515-120X"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lucio Marcenaro","raw_affiliation_strings":["Dept. of Naval, Electrical, Electronics and Telecommunications Engineering, University of Genoa, Genoa, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Naval, Electrical, Electronics and Telecommunications Engineering, University of Genoa, Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101961834","display_name":"David Mart\u00edn","orcid":"https://orcid.org/0000-0003-3764-5083"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"David Martin Gomez","raw_affiliation_strings":["Carlos III University of Madrid, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Carlos III University of Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055281228","display_name":"Carlo S. Regazzoni","orcid":"https://orcid.org/0000-0001-6617-1417"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Carlo Regazzoni","raw_affiliation_strings":["Dept. of Naval, Electrical, Electronics and Telecommunications Engineering, University of Genoa, Genoa, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Naval, Electrical, Electronics and Telecommunications Engineering, University of Genoa, Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5023034788"],"corresponding_institution_ids":["https://openalex.org/I83816512"],"apc_list":null,"apc_paid":null,"fwci":0.5437,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.74076328,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9864000082015991,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9864000082015991,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9847999811172485,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7998881340026855},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7285820245742798},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6964752674102783},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5519858002662659},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4890209138393402},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.4417576789855957},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43494054675102234}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7998881340026855},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7285820245742798},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6964752674102783},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5519858002662659},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4890209138393402},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.4417576789855957},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43494054675102234},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/sips50750.2020.9195244","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sips50750.2020.9195244","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Workshop on Signal Processing Systems (SiPS)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unige.it:11567/1018161","is_oa":false,"landing_page_url":"https://hdl.handle.net/11567/1018161","pdf_url":null,"source":{"id":"https://openalex.org/S4377196291","display_name":"CINECA IRIS Institutial Research Information System (University of Genoa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83816512","host_organization_name":"University of Genoa","host_organization_lineage":["https://openalex.org/I83816512"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1651093245","https://openalex.org/W1971022913","https://openalex.org/W1990517717","https://openalex.org/W1997201895","https://openalex.org/W1999038767","https://openalex.org/W2011430131","https://openalex.org/W2057923756","https://openalex.org/W2088087163","https://openalex.org/W2098740506","https://openalex.org/W2104679585","https://openalex.org/W2138754805","https://openalex.org/W2157376352","https://openalex.org/W2343204888","https://openalex.org/W2528237000","https://openalex.org/W2718421337","https://openalex.org/W2891442281","https://openalex.org/W2897819140","https://openalex.org/W2902804646","https://openalex.org/W2903703585","https://openalex.org/W2929382047","https://openalex.org/W2949879382","https://openalex.org/W2953289765","https://openalex.org/W2964058958","https://openalex.org/W6637231022","https://openalex.org/W6680294583","https://openalex.org/W6740105937","https://openalex.org/W6755443911","https://openalex.org/W6756313511","https://openalex.org/W6761164109"],"related_works":["https://openalex.org/W1999117613","https://openalex.org/W2040929534","https://openalex.org/W3022637481","https://openalex.org/W2393816671","https://openalex.org/W3120229345","https://openalex.org/W2111119584","https://openalex.org/W3144143113","https://openalex.org/W3039964395","https://openalex.org/W2804957450","https://openalex.org/W2357208913"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,23,31,49,56,70,96,104],"method":[4,45],"for":[5,84],"optimizing":[6],"the":[7,75,90,112],"clusters":[8,78],"employed":[9,83],"as":[10],"discrete":[11,27],"random":[12],"variables":[13],"in":[14,39,103],"probabilistic":[15],"switching":[16],"models.":[17],"The":[18],"proposed":[19,113],"optimization":[20],"facilitates":[21],"obtaining":[22],"low":[24],"number":[25,76],"of":[26,42,48,65,77],"components":[28],"while":[29,79],"guaranteeing":[30],"high":[32],"performance":[33],"at":[34,89],"predicting":[35,85],"and":[36],"detecting":[37],"abnormalities":[38],"time":[40,87],"series":[41],"data.":[43,66],"Our":[44],"is":[46,108],"composed":[47],"two-step":[50],"clustering":[51,58,72],"approach":[52],"that":[53,99],"first":[54],"considers":[55],"partitional":[57],"to":[59,73,110],"obtain":[60],"an":[61],"initial":[62],"semantic":[63],"representation":[64],"Then":[67],"it":[68],"performs":[69,100],"hierarchical":[71],"decrease":[74],"preserving":[80],"coherent":[81],"models":[82],"future":[86],"instances":[88],"testing":[91],"phase.":[92],"Odometry":[93],"data":[94],"from":[95],"real":[97],"vehicle":[98],"different":[101],"tasks":[102],"closed,":[105],"controlled":[106],"environment":[107],"used":[109],"evaluate":[111],"method.":[114]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}
