{"id":"https://openalex.org/W3185198948","doi":"https://doi.org/10.5220/0010604605740582","title":"Extending DEAP with Active Sampling for Evolutionary Supervised Learning","display_name":"Extending DEAP with Active Sampling for Evolutionary Supervised Learning","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3185198948","doi":"https://doi.org/10.5220/0010604605740582","mag":"3185198948"},"language":"en","primary_location":{"id":"doi:10.5220/0010604605740582","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0010604605740582","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th International Conference on Software Technologies","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.parisnanterre.fr/hal-03363085/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049372818","display_name":"Sana Ben Hamida","orcid":"https://orcid.org/0000-0003-4202-613X"},"institutions":[{"id":"https://openalex.org/I56435720","display_name":"Universit\u00e9 Paris Dauphine-PSL","ror":"https://ror.org/052bz7812","country_code":"FR","type":"education","lineage":["https://openalex.org/I2746051580","https://openalex.org/I56435720"]},{"id":"https://openalex.org/I2746051580","display_name":"Universit\u00e9 Paris Sciences et Lettres","ror":"https://ror.org/013cjyk83","country_code":"FR","type":"education","lineage":["https://openalex.org/I2746051580"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Sana Ben Hamida","raw_affiliation_strings":["Paris Dauphine University, PSL Research University, CNRS, UMR7243, LAMSADE, 75016 Paris, France, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Paris Dauphine University, PSL Research University, CNRS, UMR7243, LAMSADE, 75016 Paris, France, --- Select a Country ---","institution_ids":["https://openalex.org/I56435720","https://openalex.org/I2746051580","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080067320","display_name":"Ghita Benjelloun","orcid":"https://orcid.org/0009-0001-1106-3010"},"institutions":[{"id":"https://openalex.org/I56435720","display_name":"Universit\u00e9 Paris Dauphine-PSL","ror":"https://ror.org/052bz7812","country_code":"FR","type":"education","lineage":["https://openalex.org/I2746051580","https://openalex.org/I56435720"]},{"id":"https://openalex.org/I2746051580","display_name":"Universit\u00e9 Paris Sciences et Lettres","ror":"https://ror.org/013cjyk83","country_code":"FR","type":"education","lineage":["https://openalex.org/I2746051580"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ghita Benjelloun","raw_affiliation_strings":["Paris Dauphine University, PSL Research University, 75016 Paris, France, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Paris Dauphine University, PSL Research University, 75016 Paris, France, --- Select a Country ---","institution_ids":["https://openalex.org/I56435720","https://openalex.org/I2746051580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5049372818"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I2746051580","https://openalex.org/I56435720"],"apc_list":null,"apc_paid":null,"fwci":0.14,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54826423,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"574","last_page":"582"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.987500011920929,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.987500011920929,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9478999972343445,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9422000050544739,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7377001047134399},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5378818511962891},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4915965497493744},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4566899240016937},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.07691887021064758}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7377001047134399},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5378818511962891},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4915965497493744},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4566899240016937},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07691887021064758},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5220/0010604605740582","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0010604605740582","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th International Conference on Software Technologies","raw_type":"proceedings-article"},{"id":"pmh:oai:basepub.dauphine.psl.eu:123456789/23995","is_oa":true,"landing_page_url":"https://hal.science/hal-03363085v1","pdf_url":"https://hal.parisnanterre.fr/hal-03363085/document","source":{"id":"https://openalex.org/S4306401007","display_name":"Base Institutionnelle de Recherche de l'universit\u00e9 Paris-Dauphine (BIRD) (University Paris-Dauphine)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I102197404","host_organization_name":"Universit\u00e9 Paris-Sud","host_organization_lineage":["https://openalex.org/I102197404"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Communication / Conf\u00e9rence"}],"best_oa_location":{"id":"pmh:oai:basepub.dauphine.psl.eu:123456789/23995","is_oa":true,"landing_page_url":"https://hal.science/hal-03363085v1","pdf_url":"https://hal.parisnanterre.fr/hal-03363085/document","source":{"id":"https://openalex.org/S4306401007","display_name":"Base Institutionnelle de Recherche de l'universit\u00e9 Paris-Dauphine (BIRD) (University Paris-Dauphine)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I102197404","host_organization_name":"Universit\u00e9 Paris-Sud","host_organization_lineage":["https://openalex.org/I102197404"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Communication / Conf\u00e9rence"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3185198948.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Complexity,":[0],"variety":[1],"and":[2,54,88,133],"large":[3],"sizes":[4],"of":[5,46],"data":[6,128],"bases":[7,129],"make":[8],"the":[9,44,47,52,60,123],"Knowledge":[10],"extraction":[11],"a":[12,95,109],"difficult":[13],"task":[14],"for":[15,71,85,112,130],"supervised":[16],"machine":[17],"learning":[18,61,73,87,121,125],"techniques.":[19],"It":[20],"is":[21,41,69],"important":[22],"to":[23,29,42,55],"provide":[24],"these":[25,102],"techniques":[26,84,103],"additional":[27],"tools":[28],"improve":[30,122],"their":[31],"efficiency":[32],"when":[33],"dealing":[34],"with":[35],"such":[36,75],"data.":[37],"A":[38,115],"promising":[39],"strategy":[40,64],"reduce":[43],"size":[45],"training":[48],"sample":[49],"seen":[50],"by":[51],"learner":[53],"change":[56],"it":[57,99],"regularly":[58],"along":[59],"process.":[62],"Such":[63],"known":[65],"as":[66,76],"active":[67,86,120],"learning,":[68],"suitable":[70],"iterative":[72],"algorithms":[74],"Evolutionary":[77,113],"Algorithms.":[78,114],"This":[79],"paper":[80],"presents":[81],"some":[82],"sampling":[83],"how":[89,101,119],"they":[90],"can":[91],"be":[92,105],"applied":[93],"in":[94,135],"hierarchical":[96],"way.":[97],"Then,":[98],"details":[100],"could":[104],"implemented":[106],"into":[107],"DEAP,":[108],"Python":[110],"framework":[111],"comparative":[116],"study":[117],"demonstrates":[118],"evolutionary":[124],"on":[126],"two":[127],"detecting":[131],"pulsars":[132],"occupancy":[134],"buildings.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
