{"id":"https://openalex.org/W4390976167","doi":"https://doi.org/10.3390/e26010082","title":"Slope Entropy Characterisation: An Asymmetric Approach to Threshold Parameters Role Analysis","display_name":"Slope Entropy Characterisation: An Asymmetric Approach to Threshold Parameters Role Analysis","publication_year":2024,"publication_date":"2024-01-18","ids":{"openalex":"https://openalex.org/W4390976167","doi":"https://doi.org/10.3390/e26010082","pmid":"https://pubmed.ncbi.nlm.nih.gov/38248207"},"language":"en","primary_location":{"id":"doi:10.3390/e26010082","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e26010082","pdf_url":"https://www.mdpi.com/1099-4300/26/1/82/pdf?version=1705559790","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/26/1/82/pdf?version=1705559790","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039366989","display_name":"Mahdy Kouka","orcid":null},"institutions":[{"id":"https://openalex.org/I60053951","display_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","ror":"https://ror.org/01460j859","country_code":"ES","type":"education","lineage":["https://openalex.org/I60053951"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Mahdy Kouka","raw_affiliation_strings":["Department of System Informatics and Computers, Universitat Polit\u00e8cnica de Val\u00e8ncia, 03801 Alcoy, Spain"],"affiliations":[{"raw_affiliation_string":"Department of System Informatics and Computers, Universitat Polit\u00e8cnica de Val\u00e8ncia, 03801 Alcoy, Spain","institution_ids":["https://openalex.org/I60053951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083596385","display_name":"David Cuesta\u2013Frau","orcid":"https://orcid.org/0000-0002-0076-0515"},"institutions":[{"id":"https://openalex.org/I60053951","display_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","ror":"https://ror.org/01460j859","country_code":"ES","type":"education","lineage":["https://openalex.org/I60053951"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"David Cuesta-Frau","raw_affiliation_strings":["Department of System Informatics and Computers, Universitat Polit\u00e8cnica de Val\u00e8ncia, 03801 Alcoy, Spain","Technological Institute of Informatics, Universitat Polit\u00e8cnica de Val\u00e8ncia, 03801 Alcoy, Spain"],"affiliations":[{"raw_affiliation_string":"Department of System Informatics and Computers, Universitat Polit\u00e8cnica de Val\u00e8ncia, 03801 Alcoy, Spain","institution_ids":["https://openalex.org/I60053951"]},{"raw_affiliation_string":"Technological Institute of Informatics, Universitat Polit\u00e8cnica de Val\u00e8ncia, 03801 Alcoy, Spain","institution_ids":["https://openalex.org/I60053951"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5093737002","display_name":"Vicent Molt\u00f3-Gallego","orcid":"https://orcid.org/0009-0002-2263-7400"},"institutions":[{"id":"https://openalex.org/I60053951","display_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","ror":"https://ror.org/01460j859","country_code":"ES","type":"education","lineage":["https://openalex.org/I60053951"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Vicent Molt\u00f3-Gallego","raw_affiliation_strings":["Department of System Informatics and Computers, Universitat Polit\u00e8cnica de Val\u00e8ncia, 03801 Alcoy, Spain"],"affiliations":[{"raw_affiliation_string":"Department of System Informatics and Computers, Universitat Polit\u00e8cnica de Val\u00e8ncia, 03801 Alcoy, Spain","institution_ids":["https://openalex.org/I60053951"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5083596385"],"corresponding_institution_ids":["https://openalex.org/I60053951"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":3.5359,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.93145828,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"26","issue":"1","first_page":"82","last_page":"82"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9955999851226807,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5920782089233398},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5508886575698853},{"id":"https://openalex.org/keywords/subsequence","display_name":"Subsequence","score":0.5283975005149841},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5218141078948975},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.46805495023727417},{"id":"https://openalex.org/keywords/longest-common-subsequence-problem","display_name":"Longest common subsequence problem","score":0.42653992772102356},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40189412236213684},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39511093497276306}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5920782089233398},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5508886575698853},{"id":"https://openalex.org/C137877099","wikidata":"https://www.wikidata.org/wiki/Q1332977","display_name":"Subsequence","level":3,"score":0.5283975005149841},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5218141078948975},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.46805495023727417},{"id":"https://openalex.org/C120098539","wikidata":"https://www.wikidata.org/wiki/Q141001","display_name":"Longest common subsequence problem","level":2,"score":0.42653992772102356},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40189412236213684},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39511093497276306},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/e26010082","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e26010082","pdf_url":"https://www.mdpi.com/1099-4300/26/1/82/pdf?version=1705559790","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:38248207","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38248207","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10814979","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10814979","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10814979/pdf/entropy-26-00082.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:c6b952a2b46c4e049d313afc2433cbf9","is_oa":true,"landing_page_url":"https://doaj.org/article/c6b952a2b46c4e049d313afc2433cbf9","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 26, Iss 1, p 82 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/e26010082","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e26010082","pdf_url":"https://www.mdpi.com/1099-4300/26/1/82/pdf?version=1705559790","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4390976167.pdf"},"referenced_works_count":69,"referenced_works":["https://openalex.org/W1259078","https://openalex.org/W1862394037","https://openalex.org/W1987589156","https://openalex.org/W2006803905","https://openalex.org/W2014683958","https://openalex.org/W2035354153","https://openalex.org/W2037478113","https://openalex.org/W2053744708","https://openalex.org/W2056366562","https://openalex.org/W2077206556","https://openalex.org/W2087978863","https://openalex.org/W2131103247","https://openalex.org/W2152702278","https://openalex.org/W2164336834","https://openalex.org/W2220762564","https://openalex.org/W2300827476","https://openalex.org/W2334762131","https://openalex.org/W2486993146","https://openalex.org/W2604113470","https://openalex.org/W2606471037","https://openalex.org/W2611056396","https://openalex.org/W2810916204","https://openalex.org/W2885415588","https://openalex.org/W2889617221","https://openalex.org/W2898884973","https://openalex.org/W2921342325","https://openalex.org/W2923596073","https://openalex.org/W2924982302","https://openalex.org/W2939027458","https://openalex.org/W2965294980","https://openalex.org/W2965338421","https://openalex.org/W2969653431","https://openalex.org/W2991327750","https://openalex.org/W3084926714","https://openalex.org/W3097378979","https://openalex.org/W3105726395","https://openalex.org/W3118853574","https://openalex.org/W3130908380","https://openalex.org/W3153993755","https://openalex.org/W3161616846","https://openalex.org/W3176923666","https://openalex.org/W3188530717","https://openalex.org/W4200429553","https://openalex.org/W4200519680","https://openalex.org/W4214533806","https://openalex.org/W4224311279","https://openalex.org/W4280509384","https://openalex.org/W4283274312","https://openalex.org/W4295094447","https://openalex.org/W4304761841","https://openalex.org/W4311041338","https://openalex.org/W4312975112","https://openalex.org/W4313332740","https://openalex.org/W4317788232","https://openalex.org/W4318820960","https://openalex.org/W4319295260","https://openalex.org/W4323923053","https://openalex.org/W4353073403","https://openalex.org/W4365515547","https://openalex.org/W4377240400","https://openalex.org/W4377294238","https://openalex.org/W4380997127","https://openalex.org/W4383496087","https://openalex.org/W4386640254","https://openalex.org/W4399061942","https://openalex.org/W6697769560","https://openalex.org/W6766595825","https://openalex.org/W6788097864","https://openalex.org/W6857661388"],"related_works":["https://openalex.org/W25732909","https://openalex.org/W4323338832","https://openalex.org/W4289596129","https://openalex.org/W170643605","https://openalex.org/W1999879627","https://openalex.org/W4295189757","https://openalex.org/W2088055539","https://openalex.org/W1574834681","https://openalex.org/W2389167168","https://openalex.org/W2170721049"],"abstract_inverted_index":{"Slope":[0],"Entropy":[1],"(SlpEn)":[2],"is":[3,83],"a":[4,42,46,74,131,148],"novel":[5],"method":[6,138],"recently":[7],"proposed":[8,141],"in":[9,27,70,103],"the":[10,20,78,87,98,112,118,135,163,174],"field":[11],"of":[12,45,61,77,80,100,114,120,176],"time":[13,168],"series":[14,169],"entropy":[15],"estimation.":[16],"In":[17],"addition":[18],"to":[19,40,85,110,125,151],"well-known":[21],"embedded":[22],"dimension":[23],"parameter,":[24],"<i>m</i>,":[25],"used":[26],"other":[28],"methods,":[29],"it":[30],"applies":[31],"two":[32,63],"additional":[33],"thresholds,":[34],"denoted":[35],"as":[36,139],"\u03b4":[37],"and":[38,116,142],"\u03b3,":[39],"derive":[41],"symbolic":[43],"representation":[44],"data":[47],"subsequence.":[48],"The":[49,159],"original":[50],"paper":[51],"introducing":[52],"SlpEn":[53,91,137],"provided":[54],"some":[55],"guidelines":[56],"for":[57,89],"recommended":[58],"specific":[59],"values":[60],"these":[62,81],"parameters,":[64],"which":[65],"have":[66,95],"been":[67],"successfully":[68],"followed":[69],"subsequent":[71],"studies.":[72],"However,":[73],"deeper":[75],"understanding":[76],"role":[79,99,113],"thresholds":[82],"necessary":[84],"explore":[86,117],"potential":[88],"further":[90],"optimisations.":[92],"Some":[93],"works":[94],"already":[96],"addressed":[97],"\u03b4,":[101],"but":[102],"this":[104,108],"paper,":[105],"we":[106],"extend":[107],"investigation":[109],"include":[111],"\u03b3":[115],"impact":[119],"using":[121],"an":[122,143],"asymmetric":[123],"scheme":[124],"select":[126],"threshold":[127],"values.":[128],"We":[129],"conduct":[130],"comparative":[132],"analysis":[133],"between":[134],"standard":[136],"initially":[140],"optimised":[144,164],"version":[145,165],"obtained":[146],"through":[147],"grid":[149],"search":[150],"maximise":[152],"signal":[153],"classification":[154,170],"performance":[155],"based":[156],"on":[157],"SlpEn.":[158],"results":[160],"confirm":[161],"that":[162],"achieves":[166],"higher":[167],"accuracy,":[171],"albeit":[172],"at":[173],"cost":[175],"significantly":[177],"increased":[178],"computational":[179],"complexity.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}
