{"id":"https://openalex.org/W4401329478","doi":"https://doi.org/10.1109/fuzz-ieee60900.2024.10612163","title":"Rapidae: A Python Library for Creation, Experimentation, and Benchmarking of Autoencoder Models","display_name":"Rapidae: A Python Library for Creation, Experimentation, and Benchmarking of Autoencoder Models","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4401329478","doi":"https://doi.org/10.1109/fuzz-ieee60900.2024.10612163"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee60900.2024.10612163","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee60900.2024.10612163","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5088736154","display_name":"Nahuel Costa","orcid":"https://orcid.org/0000-0002-9189-2192"},"institutions":[{"id":"https://openalex.org/I165339363","display_name":"Universidad de Oviedo","ror":"https://ror.org/006gksa02","country_code":"ES","type":"education","lineage":["https://openalex.org/I165339363"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"N. Costa","raw_affiliation_strings":["University of Oviedo,Computer Science Department,Gijon,Spain"],"affiliations":[{"raw_affiliation_string":"University of Oviedo,Computer Science Department,Gijon,Spain","institution_ids":["https://openalex.org/I165339363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090492603","display_name":"Lucas P\u00e9rez","orcid":"https://orcid.org/0000-0001-9470-7987"},"institutions":[{"id":"https://openalex.org/I165339363","display_name":"Universidad de Oviedo","ror":"https://ror.org/006gksa02","country_code":"ES","type":"education","lineage":["https://openalex.org/I165339363"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"L. P\u00e9rez","raw_affiliation_strings":["University of Oviedo,Computer Science Department,Gijon,Spain"],"affiliations":[{"raw_affiliation_string":"University of Oviedo,Computer Science Department,Gijon,Spain","institution_ids":["https://openalex.org/I165339363"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007997944","display_name":"Luciano S\u00e1nchez","orcid":"https://orcid.org/0000-0002-2446-1915"},"institutions":[{"id":"https://openalex.org/I165339363","display_name":"Universidad de Oviedo","ror":"https://ror.org/006gksa02","country_code":"ES","type":"education","lineage":["https://openalex.org/I165339363"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"L. S\u00e1nchez","raw_affiliation_strings":["University of Oviedo,Computer Science Department,Gijon,Spain"],"affiliations":[{"raw_affiliation_string":"University of Oviedo,Computer Science Department,Gijon,Spain","institution_ids":["https://openalex.org/I165339363"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088736154"],"corresponding_institution_ids":["https://openalex.org/I165339363"],"apc_list":null,"apc_paid":null,"fwci":0.7895,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72359931,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T13650","display_name":"Computational Physics and Python Applications","score":0.9934999942779541,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.8091119527816772},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.8077978491783142},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6534619331359863},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6295844316482544},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.40065205097198486},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3991609811782837},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34694764018058777},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33063244819641113},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.09704470634460449},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.07967913150787354}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.8091119527816772},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.8077978491783142},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6534619331359863},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6295844316482544},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.40065205097198486},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3991609811782837},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34694764018058777},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33063244819641113},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.09704470634460449},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.07967913150787354},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee60900.2024.10612163","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee60900.2024.10612163","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6102341947","display_name":null,"funder_award_id":"PID2020-112726-RB-100","funder_id":"https://openalex.org/F4320326262","funder_display_name":"Ministerio de Asuntos Econ\u00f3micos y Transformaci\u00f3n Digital, Gobierno de Espa\u00f1a"}],"funders":[{"id":"https://openalex.org/F4320326262","display_name":"Ministerio de Asuntos Econ\u00f3micos y Transformaci\u00f3n Digital, Gobierno de Espa\u00f1a","ror":"https://ror.org/03sv46s19"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1959608418","https://openalex.org/W2025768430","https://openalex.org/W2100495367","https://openalex.org/W2467604901","https://openalex.org/W2624211799","https://openalex.org/W2743138268","https://openalex.org/W2752796333","https://openalex.org/W2799397159","https://openalex.org/W2942521752","https://openalex.org/W2963799213","https://openalex.org/W3039273193","https://openalex.org/W3113310528","https://openalex.org/W3117614253","https://openalex.org/W3118868805","https://openalex.org/W3120224790","https://openalex.org/W3134700534","https://openalex.org/W3217536461","https://openalex.org/W4212774754","https://openalex.org/W4212940123","https://openalex.org/W4283028517","https://openalex.org/W4283772793","https://openalex.org/W4287394717","https://openalex.org/W4385958045","https://openalex.org/W4389503368","https://openalex.org/W6638896900","https://openalex.org/W6640963894","https://openalex.org/W6688386640","https://openalex.org/W6720208624","https://openalex.org/W6744627333","https://openalex.org/W6762805079","https://openalex.org/W6766978945","https://openalex.org/W6788351882","https://openalex.org/W6839094435"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687","https://openalex.org/W2207495067","https://openalex.org/W1906486629"],"abstract_inverted_index":{"Autoencoders":[0],"have":[1],"proven":[2],"successful":[3],"across":[4],"diverse":[5],"applications":[6],"such":[7],"as":[8,77],"data":[9],"reconstruction,":[10],"anomaly":[11],"detection,":[12],"and":[13,46,56,66,74,87,108,129,142],"feature":[14],"extraction,":[15],"however,":[16],"these":[17],"advancements":[18],"remain":[19],"largely":[20],"dispersed":[21],"among":[22],"various":[23],"fields,":[24],"lacking":[25],"a":[26,68,81,98],"cohesive":[27],"tool":[28],"that":[29],"unifies":[30],"them.":[31],"Herein,":[32],"we":[33],"present":[34],"Rapidae,":[35],"an":[36],"open-source":[37],"Python":[38],"library":[39,96],"designed":[40],"to":[41,91],"ease":[42],"the":[43,61,95,103,119,123],"use,":[44],"development,":[45],"benchmarking":[47],"of":[48,63,71,122],"autoencoder":[49,148],"models.":[50],"Rapidae":[51,137],"is":[52,78,138],"oriented":[53],"towards":[54],"precise":[55],"imprecise":[57],"data,":[58],"mainly":[59],"in":[60],"form":[62],"time":[64],"series,":[65],"accommodates":[67],"broad":[69],"range":[70],"user":[72],"preferences":[73],"existing":[75],"workflows":[76],"backend-agnostic,":[79],"supporting":[80],"seamless":[82],"transition":[83],"between":[84],"TensorFlow,":[85],"PyTorch,":[86],"JAX.":[88],"In":[89],"addition":[90],"its":[92,126,131],"computational":[93],"flexibility,":[94],"provides":[97],"user-friendly":[99],"graphical":[100],"interface,":[101],"lowering":[102],"entry":[104],"barrier":[105],"for":[106,112],"newcomers":[107],"making":[109],"it":[110],"accessible":[111],"educational":[113],"purposes.":[114],"This":[115],"paper":[116],"delves":[117],"into":[118],"core":[120],"features":[121],"library,":[124],"underlining":[125],"user-centric":[127],"design,":[128],"evaluates":[130],"impact":[132],"on":[133],"streamlining":[134],"research":[135,149],"processes.":[136],"available":[139],"at":[140],"https://github.com/NahuelCostaCortez/rapidae":[141],"welcomes":[143],"original":[144],"contributions":[145],"from":[146],"other":[147],"works.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}