{"id":"https://openalex.org/W4412536404","doi":"https://doi.org/10.1109/access.2025.3591142","title":"Optimizing Hyperparameters in Meta-Learning for Enhanced Image Classification","display_name":"Optimizing Hyperparameters in Meta-Learning for Enhanced Image Classification","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412536404","doi":"https://doi.org/10.1109/access.2025.3591142"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3591142","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3591142","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3591142","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080011025","display_name":"Amala Mary Vincent","orcid":"https://orcid.org/0000-0002-0009-5017"},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amala Mary Vincent","raw_affiliation_strings":["Department of Mathematical and Computational Sciences, National Institute of Technology Karnataka, Surathkal, Mangalore, India"],"raw_orcid":"https://orcid.org/0000-0002-0009-5017","affiliations":[{"raw_affiliation_string":"Department of Mathematical and Computational Sciences, National Institute of Technology Karnataka, Surathkal, Mangalore, India","institution_ids":["https://openalex.org/I11880225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020693411","display_name":"P. Jidesh","orcid":null},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. Jidesh","raw_affiliation_strings":["Department of Mathematical and Computational Sciences, National Institute of Technology Karnataka, Surathkal, Mangalore, India"],"raw_orcid":"https://orcid.org/0000-0001-9448-1906","affiliations":[{"raw_affiliation_string":"Department of Mathematical and Computational Sciences, National Institute of Technology Karnataka, Surathkal, Mangalore, India","institution_ids":["https://openalex.org/I11880225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087315113","display_name":"A. A. Bini","orcid":"https://orcid.org/0000-0002-0559-267X"},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A. A. Bini","raw_affiliation_strings":["Department of Electronics and Communication Engineering, National Institute of Technology Karnataka, Surathkal, Mangalore, India"],"raw_orcid":"https://orcid.org/0000-0002-0559-267X","affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, National Institute of Technology Karnataka, Surathkal, Mangalore, India","institution_ids":["https://openalex.org/I11880225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07816573,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"130816","last_page":"130831"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9506999850273132,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9506999850273132,"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/hyperparameter","display_name":"Hyperparameter","score":0.8596900701522827},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7782278656959534},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.6428632736206055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6188436150550842},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5193632245063782},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5074521899223328},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4646119177341461},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42943522334098816}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.8596900701522827},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7782278656959534},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.6428632736206055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6188436150550842},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5193632245063782},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5074521899223328},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4646119177341461},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42943522334098816},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3591142","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3591142","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:801db74569154c0b8fd411c070d4ff50","is_oa":true,"landing_page_url":"https://doaj.org/article/801db74569154c0b8fd411c070d4ff50","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 130816-130831 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3591142","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3591142","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3886493729","display_name":null,"funder_award_id":"MTR/2022/000526","funder_id":"https://openalex.org/F4320334771","funder_display_name":"Science and Engineering Research Board"}],"funders":[{"id":"https://openalex.org/F4320334771","display_name":"Science and Engineering Research Board","ror":"https://ror.org/03ffdsr55"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1488960379","https://openalex.org/W1542791059","https://openalex.org/W1633389682","https://openalex.org/W2091118421","https://openalex.org/W2117539524","https://openalex.org/W2145680191","https://openalex.org/W2210969396","https://openalex.org/W2963943197","https://openalex.org/W2964105864","https://openalex.org/W2969422541","https://openalex.org/W2989575070","https://openalex.org/W3012255272","https://openalex.org/W3034251792","https://openalex.org/W3034942609","https://openalex.org/W3036587561","https://openalex.org/W3045004532","https://openalex.org/W3046698617","https://openalex.org/W3092053846","https://openalex.org/W3139344044","https://openalex.org/W3163842339","https://openalex.org/W3175581533","https://openalex.org/W3179950556","https://openalex.org/W3191950921","https://openalex.org/W3205249428","https://openalex.org/W4205556549","https://openalex.org/W4206328037","https://openalex.org/W4206564180","https://openalex.org/W4211244138","https://openalex.org/W4224219490","https://openalex.org/W4312935555","https://openalex.org/W4318677150","https://openalex.org/W4319163914","https://openalex.org/W4360619614","https://openalex.org/W4383890458","https://openalex.org/W4390100141","https://openalex.org/W4407973719","https://openalex.org/W6676179485","https://openalex.org/W6713057566","https://openalex.org/W6717697761","https://openalex.org/W6720057410","https://openalex.org/W6736057607","https://openalex.org/W6742288159","https://openalex.org/W6743661861","https://openalex.org/W6747943641","https://openalex.org/W6749327742","https://openalex.org/W6750254146","https://openalex.org/W6751797489","https://openalex.org/W6755095635","https://openalex.org/W6768532476","https://openalex.org/W6783596713","https://openalex.org/W6794172776"],"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/W3097663225","https://openalex.org/W2963844355","https://openalex.org/W4361251046","https://openalex.org/W4301772239","https://openalex.org/W98577079"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,66,80,88,140],"significance":[4],"of":[5,55,68,82,142],"hyperparameter":[6,69,114,144],"optimization":[7,70,74],"in":[8,16,136,146],"meta-learning":[9,104],"for":[10,43,123],"image":[11,20],"classification":[12,21,49],"tasks.":[13,50],"Despite":[14],"advancements":[15],"deep":[17],"learning,":[18,45],"real-time":[19],"applications":[22],"often":[23],"suffer":[24],"from":[25,36],"data":[26],"inadequacy.":[27],"Few-shot":[28],"learning":[29,35],"addresses":[30],"this":[31],"challenge":[32],"by":[33,120],"enabling":[34],"limited":[37],"samples.":[38],"Meta-learning,":[39],"a":[40,58,129],"prominent":[41],"tool":[42],"few-shot":[44],"learns":[46],"across":[47],"multiple":[48],"We":[51,64],"explore":[52],"different":[53],"types":[54],"meta-learners,":[56],"with":[57],"particular":[59],"focus":[60],"on":[61,87],"metric-based":[62],"models.":[63,84],"analyze":[65],"potential":[67],"techniques,":[71],"specifically":[72],"Bayesian":[73,96],"and":[75,90],"its":[76,99],"variants,":[77],"to":[78,107,111],"enhance":[79],"performance":[81],"these":[83],"Experimental":[85],"results":[86],"Omniglot":[89],"ImageNet":[91],"datasets":[92],"demonstrate":[93],"that":[94,119],"incorporating":[95],"optimization,":[97],"particularly":[98],"evolutionary":[100],"strategy":[101],"variant,":[102],"into":[103],"frameworks":[105],"leads":[106],"improved":[108],"accuracy":[109],"compared":[110],"settings":[112],"without":[113],"optimization.":[115],"Here,":[116],"we":[117,132],"show":[118],"optimizing":[121],"hyperparameters":[122],"individual":[124],"tasks":[125],"rather":[126],"than":[127],"using":[128],"uniform":[130],"setting,":[131],"achieve":[133],"notable":[134],"gains":[135],"model":[137],"performance,":[138],"underscoring":[139],"importance":[141],"tailored":[143],"configurations":[145],"meta-learning.":[147]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
