{"id":"https://openalex.org/W4312833395","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892288","title":"An Adapted GRASP Approach for Hyperparameter Search on Deep Networks Applied to Tabular Data","display_name":"An Adapted GRASP Approach for Hyperparameter Search on Deep Networks Applied to Tabular Data","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312833395","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892288"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892288","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5035146427","display_name":"Andersson Alves da Silva","orcid":"https://orcid.org/0000-0003-4475-1191"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Andersson A. Silva","raw_affiliation_strings":["Centro de Informática, Universidade Federal de Pernambuco,Recife,Brasil"],"affiliations":[{"raw_affiliation_string":"Centro de Informática, Universidade Federal de Pernambuco,Recife,Brasil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104173421","display_name":"Amanda S. Xavier","orcid":null},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Amanda S. Xavier","raw_affiliation_strings":["Centro de Informática, Universidade Federal de Pernambuco,Recife,Brasil"],"affiliations":[{"raw_affiliation_string":"Centro de Informática, Universidade Federal de Pernambuco,Recife,Brasil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021701067","display_name":"David Mac\u00eado","orcid":"https://orcid.org/0000-0002-2527-4548"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]},{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]},{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["BR","CA"],"is_corresponding":false,"raw_author_name":"David Macedo","raw_affiliation_strings":["Centro de Informática, Universidade Federal de Pernambuco,Recife,Brasil","Montreal Institute for Learning Algorithms, University of Montreal, Quebec, Canada"],"affiliations":[{"raw_affiliation_string":"Centro de Informática, Universidade Federal de Pernambuco,Recife,Brasil","institution_ids":["https://openalex.org/I25112270"]},{"raw_affiliation_string":"Montreal Institute for Learning Algorithms, University of Montreal, Quebec, Canada","institution_ids":["https://openalex.org/I60158472","https://openalex.org/I70931966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086345001","display_name":"Cleber Zanchettin","orcid":"https://orcid.org/0000-0001-6421-9747"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]},{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["BR","US"],"is_corresponding":false,"raw_author_name":"Cleber Zanchettin","raw_affiliation_strings":["Centro de Informática, Universidade Federal de Pernambuco,Recife,Brasil","Department of Chemical and Biological Engineering, Northwestern University, Evanston, United States of America"],"affiliations":[{"raw_affiliation_string":"Centro de Informática, Universidade Federal de Pernambuco,Recife,Brasil","institution_ids":["https://openalex.org/I25112270"]},{"raw_affiliation_string":"Department of Chemical and Biological Engineering, Northwestern University, Evanston, United States of America","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100615438","display_name":"Adriano L. I. Oliveira","orcid":"https://orcid.org/0000-0002-5614-229X"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Adriano L. I. Oliveira","raw_affiliation_strings":["Centro de Informática, Universidade Federal de Pernambuco,Recife,Brasil"],"affiliations":[{"raw_affiliation_string":"Centro de Informática, Universidade Federal de Pernambuco,Recife,Brasil","institution_ids":["https://openalex.org/I25112270"]}]}],"institution_assertions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":60},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9999,"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":0.9999,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9995,"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/T12676","display_name":"Machine Learning and ELM","score":0.9956,"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":0.8142915},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness","score":0.6152576},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.60487676},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.49751905}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.8142915},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.77823234},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.7530178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.64862525},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6152576},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.60487676},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.60140383},{"id":"https://openalex.org/C123370116","wikidata":"https://www.wikidata.org/wiki/Q1424540","display_name":"Tabu search","level":2,"score":0.56950474},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5072617},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.49751905},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46706447},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37774107},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892288","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":36,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1678356000","https://openalex.org/W1820259117","https://openalex.org/W1967029759","https://openalex.org/W2021309800","https://openalex.org/W2028438572","https://openalex.org/W2061521613","https://openalex.org/W2084792706","https://openalex.org/W2090275183","https://openalex.org/W2094485034","https://openalex.org/W2131241448","https://openalex.org/W2295598076","https://openalex.org/W2337727499","https://openalex.org/W2768348081","https://openalex.org/W2804073516","https://openalex.org/W2887651422","https://openalex.org/W2901129754","https://openalex.org/W2913194878","https://openalex.org/W2950277768","https://openalex.org/W2952389999","https://openalex.org/W2954080456","https://openalex.org/W2963844355","https://openalex.org/W2996715881","https://openalex.org/W3046034197","https://openalex.org/W3092255774","https://openalex.org/W3120740533","https://openalex.org/W3128426437","https://openalex.org/W3174086521","https://openalex.org/W3177089955","https://openalex.org/W3202428668","https://openalex.org/W3212202572","https://openalex.org/W3216660278","https://openalex.org/W4287591554","https://openalex.org/W4288108355","https://openalex.org/W4288296172","https://openalex.org/W4295312788"],"related_works":["https://openalex.org/W2743859443","https://openalex.org/W2389739210","https://openalex.org/W2387399993","https://openalex.org/W2365736347","https://openalex.org/W2357124094","https://openalex.org/W2348924972","https://openalex.org/W2326995835","https://openalex.org/W2163296013","https://openalex.org/W2070040999","https://openalex.org/W2047454415"],"abstract_inverted_index":{"The":[0],"robustness":[1],"and":[2,11,22,30,40,78,108],"resilience":[3],"of":[4,24,66,102],"the":[5,20,25,33,45,64,67,71,81,99,103,113,121],"deep":[6,58,122],"learning":[7],"models":[8,72,123],"offer":[9],"consistent":[10],"competitive":[12],"results":[13],"in":[14,88,124],"real-world":[15],"applications.":[16],"Despite":[17],"its":[18],"adaptability,":[19],"training":[21],"adjustment":[23],"hyperparameters":[26],"still":[27],"demand":[28],"knowledge":[29],"time":[31],"from":[32],"designer.":[34],"This":[35],"paper":[36],"proposes":[37],"a":[38,86],"simple":[39],"effective":[41],"approach":[42,69,116],"based":[43],"on":[44],"Greedy":[46],"Randomized":[47],"Adaptive":[48],"Search":[49,83],"Procedure":[50],"(GRASP)":[51],"algorithm":[52,84],"that":[53],"we":[54],"adapt":[55],"to":[56],"optimize":[57],"neural":[59],"networks":[60],"models.":[61],"We":[62],"evaluated":[63],"performance":[65,97],"proposed":[68],"using":[70],"Deep":[73],"Feedforward":[74],"Neural":[75],"Network":[76],"(DFNN)":[77],"TabNet,":[79],"considering":[80],"Tabu":[82],"as":[85],"baseline":[87],"five":[89],"tabular":[90],"datasets.":[91],"Both":[92],"optimization":[93],"algorithms":[94],"showed":[95,117],"high":[96],"regarding":[98],"(i)":[100],"quality":[101],"best":[104],"solution,":[105],"(ii)":[106],"convergence,":[107],"(iii)":[109],"local":[110],"search.":[111],"However,":[112],"adapted":[114],"GRASP":[115],"better":[118],"results,":[119],"optimizing":[120],"all":[125],"datasets":[126],"with":[127],"statistical":[128],"significance.":[129]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4312833395","counts_by_year":[],"updated_date":"2024-12-16T01:56:28.301889","created_date":"2023-01-05"}