{"id":"https://openalex.org/W4412164174","doi":"https://doi.org/10.1109/memea65319.2025.11066293","title":"Hyperparameter Tuning for Sequential Fuzzy Indexed Search Trees Classifiers for Biosignal Processing","display_name":"Hyperparameter Tuning for Sequential Fuzzy Indexed Search Trees Classifiers for Biosignal Processing","publication_year":2025,"publication_date":"2025-05-28","ids":{"openalex":"https://openalex.org/W4412164174","doi":"https://doi.org/10.1109/memea65319.2025.11066293"},"language":"en","primary_location":{"id":"doi:10.1109/memea65319.2025.11066293","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea65319.2025.11066293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Medical Measurements & Applications (MeMeA)","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/A5062437874","display_name":"Bal\u00e1zs Tusor","orcid":null},"institutions":[{"id":"https://openalex.org/I216306336","display_name":"Selye J\u00e1nos University","ror":"https://ror.org/00zevd106","country_code":"SK","type":"education","lineage":["https://openalex.org/I216306336"]}],"countries":["SK"],"is_corresponding":true,"raw_author_name":"Bal\u00e1zs Tusor","raw_affiliation_strings":["J. Selye University,Department of Informatics,Komarno,Slovakia"],"affiliations":[{"raw_affiliation_string":"J. Selye University,Department of Informatics,Komarno,Slovakia","institution_ids":["https://openalex.org/I216306336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053864965","display_name":"Annam\u00e1ria R. V\u00e1rkonyi-K\u00f3czy","orcid":"https://orcid.org/0000-0002-6932-8608"},"institutions":[{"id":"https://openalex.org/I216306336","display_name":"Selye J\u00e1nos University","ror":"https://ror.org/00zevd106","country_code":"SK","type":"education","lineage":["https://openalex.org/I216306336"]}],"countries":["SK"],"is_corresponding":false,"raw_author_name":"Annam\u00e1ria R. V\u00e1rkonyi-K\u00f3czy","raw_affiliation_strings":["J. Selye University,Department of Informatics,Komarno,Slovakia"],"affiliations":[{"raw_affiliation_string":"J. Selye University,Department of Informatics,Komarno,Slovakia","institution_ids":["https://openalex.org/I216306336"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103199772","display_name":"\u0160tefan Gubo","orcid":"https://orcid.org/0009-0001-7386-3187"},"institutions":[{"id":"https://openalex.org/I216306336","display_name":"Selye J\u00e1nos University","ror":"https://ror.org/00zevd106","country_code":"SK","type":"education","lineage":["https://openalex.org/I216306336"]}],"countries":["SK"],"is_corresponding":false,"raw_author_name":"\u0160tefan Gubo","raw_affiliation_strings":["J. Selye University,Department of Informatics,Komarno,Slovakia"],"affiliations":[{"raw_affiliation_string":"J. Selye University,Department of Informatics,Komarno,Slovakia","institution_ids":["https://openalex.org/I216306336"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062437874"],"corresponding_institution_ids":["https://openalex.org/I216306336"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08999183,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9753000140190125,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9753000140190125,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/biosignal","display_name":"Biosignal","score":0.9015893936157227},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.7700515985488892},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6676375269889832},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5468728542327881},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5302441120147705},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4847864508628845}],"concepts":[{"id":"https://openalex.org/C2779055241","wikidata":"https://www.wikidata.org/wiki/Q644240","display_name":"Biosignal","level":3,"score":0.9015893936157227},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.7700515985488892},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6676375269889832},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5468728542327881},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5302441120147705},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4847864508628845},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/memea65319.2025.11066293","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea65319.2025.11066293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Medical Measurements & Applications (MeMeA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1598034330","https://openalex.org/W2108712612","https://openalex.org/W2112081648","https://openalex.org/W2487770199","https://openalex.org/W2742763625","https://openalex.org/W4379983160","https://openalex.org/W4392308144","https://openalex.org/W4394814557","https://openalex.org/W4396683137","https://openalex.org/W4401072452","https://openalex.org/W4402630730","https://openalex.org/W4406106226","https://openalex.org/W6732904494","https://openalex.org/W6781905506","https://openalex.org/W6812052549","https://openalex.org/W6888984865"],"related_works":["https://openalex.org/W2602382373","https://openalex.org/W3003615511","https://openalex.org/W4285827128","https://openalex.org/W3198113463","https://openalex.org/W2787698406","https://openalex.org/W2961085424","https://openalex.org/W2963844355","https://openalex.org/W4306674287","https://openalex.org/W4361251046","https://openalex.org/W98577079"],"abstract_inverted_index":{"Classification":[0],"is":[1,9,103,110],"an":[2],"integral":[3],"part":[4],"of":[5,18,72,93,198,204],"machine":[6],"learning,":[7],"that":[8,36,109,125,203],"widely":[10],"used":[11,57,191],"in":[12,15,179],"numerous":[13],"applications":[14],"many":[16],"areas":[17],"the":[19,25,28,90,94,106,113,127,140,152,155,158,161,180,186,194,199,216,219],"medical":[20,61],"industry.":[21],"In":[22,96],"previous":[23],"work,":[24],"authors":[26],"proposed":[27,104,118],"so-called":[29],"Sequential":[30],"Fuzzy":[31],"Indexed":[32],"Search":[33],"Trees":[34],"classifier":[35,108,201],"combines":[37],"fuzzy":[38],"inference,":[39],"indexing":[40],"tables":[41],"and":[42,51,86,148,169],"self-balancing":[43],"binary":[44],"search":[45],"trees":[46],"to":[47,135,149,174,192,202,211,214],"achieve":[48],"a":[49,75,99],"fast":[50],"accurate":[52],"classification,":[53],"which":[54,176],"can":[55],"be":[56,65],"for":[58,105,142],"quickly":[59],"classifying":[60],"data":[62,68],"as":[63,208,210],"well,":[64],"it":[66],"singular":[67],"or":[69,137,146,157],"large":[70],"datasets":[71,173],"biosignals.":[73],"However,":[74],"deeper":[76],"analysis":[77],"has":[78],"not":[79,138],"been":[80,167],"done":[81],"yet":[82],"regarding":[83],"its":[84],"hyperparameters":[85,141,156],"how":[87],"they":[88],"affect":[89],"classification":[91,196],"performance":[92,197],"classifier.":[95],"this":[97],"paper,":[98],"novel":[100],"hyperparameter-tuning":[101],"algorithm":[102],"SFIST":[107,200],"based":[111],"on":[112,154,171],"K-fold":[114],"cross-validation":[115],"method.":[116],"The":[117],"method":[119],"operates":[120],"with":[121],"four":[122,164],"possible":[123],"modes":[124,165],"approach":[126],"tuning":[128,220],"process":[129],"from":[130,218],"two":[131,205],"different":[132],"aspects,":[133],"namely":[134],"whether":[136],"set":[139],"each":[143],"attribute":[144],"individually":[145],"uniformly,":[147],"either":[150],"put":[151],"focus":[153],"attributes":[159],"during":[160],"process.":[162],"All":[163],"have":[166],"tested":[168],"evaluated":[170],"benchmark":[172],"establish":[175],"one":[177],"results":[178],"most":[181],"reliable":[182],"hyperparameter":[183],"values.":[184],"Furthermore,":[185],"best":[187],"performing":[188],"settings":[189],"are":[190],"compare":[193],"overall":[195],"state-of-the-art":[206],"classifiers,":[207],"well":[209],"untuned":[212],"SFISTs":[213],"measure":[215],"improvement":[217],"step.":[221]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}