{"id":"https://openalex.org/W4317506509","doi":"https://doi.org/10.3390/a16020065","title":"Online Batch Selection for Enhanced Generalization in Imbalanced Datasets","display_name":"Online Batch Selection for Enhanced Generalization in Imbalanced Datasets","publication_year":2023,"publication_date":"2023-01-18","ids":{"openalex":"https://openalex.org/W4317506509","doi":"https://doi.org/10.3390/a16020065"},"language":"en","primary_location":{"id":"doi:10.3390/a16020065","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a16020065","pdf_url":"https://www.mdpi.com/1999-4893/16/2/65/pdf?version=1674090546","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/16/2/65/pdf?version=1674090546","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090518366","display_name":"George Ioannou","orcid":"https://orcid.org/0000-0002-6153-7712"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"George Ioannou","raw_affiliation_strings":["Artificial Intelligence & Learning Systems Laboratory, School of Electrical & Computer Engineering, National Technical University of Athens, 157 80 Zografou, Greece"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence & Learning Systems Laboratory, School of Electrical & Computer Engineering, National Technical University of Athens, 157 80 Zografou, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036405671","display_name":"Georgios Alexandridis","orcid":"https://orcid.org/0000-0002-3611-8292"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Georgios Alexandridis","raw_affiliation_strings":["Artificial Intelligence & Learning Systems Laboratory, School of Electrical & Computer Engineering, National Technical University of Athens, 157 80 Zografou, Greece"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence & Learning Systems Laboratory, School of Electrical & Computer Engineering, National Technical University of Athens, 157 80 Zografou, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108612969","display_name":"Andreas Stafylopatis","orcid":null},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Andreas Stafylopatis","raw_affiliation_strings":["Artificial Intelligence & Learning Systems Laboratory, School of Electrical & Computer Engineering, National Technical University of Athens, 157 80 Zografou, Greece"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence & Learning Systems Laboratory, School of Electrical & Computer Engineering, National Technical University of Athens, 157 80 Zografou, Greece","institution_ids":["https://openalex.org/I174458059"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5108612969"],"corresponding_institution_ids":["https://openalex.org/I174458059"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.3497,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62011611,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"16","issue":"2","first_page":"65","last_page":"65"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9998999834060669,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9998999834060669,"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/T10057","display_name":"Face and Expression Recognition","score":0.9983999729156494,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9980999827384949,"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/computer-science","display_name":"Computer science","score":0.8022482395172119},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6903725862503052},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6838383674621582},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6225399971008301},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5925793051719666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5529018640518188},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5024740695953369},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4614172875881195},{"id":"https://openalex.org/keywords/generalization-error","display_name":"Generalization error","score":0.4611731767654419},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.46077483892440796},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.45725956559181213},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42758437991142273},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4243502616882324},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3947077989578247},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1380816400051117}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8022482395172119},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6903725862503052},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6838383674621582},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6225399971008301},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5925793051719666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5529018640518188},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5024740695953369},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4614172875881195},{"id":"https://openalex.org/C117765406","wikidata":"https://www.wikidata.org/wiki/Q5362437","display_name":"Generalization error","level":3,"score":0.4611731767654419},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.46077483892440796},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.45725956559181213},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42758437991142273},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4243502616882324},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3947077989578247},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1380816400051117},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/a16020065","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a16020065","pdf_url":"https://www.mdpi.com/1999-4893/16/2/65/pdf?version=1674090546","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:26a4e20863144ecc83e36f3f86a9a795","is_oa":true,"landing_page_url":"https://doaj.org/article/26a4e20863144ecc83e36f3f86a9a795","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms, Vol 16, Iss 2, p 65 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1999-4893/16/2/65/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/a16020065","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/a16020065","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a16020065","pdf_url":"https://www.mdpi.com/1999-4893/16/2/65/pdf?version=1674090546","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4317506509.pdf"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1563938718","https://openalex.org/W1576442155","https://openalex.org/W1591261915","https://openalex.org/W1665214252","https://openalex.org/W1941659294","https://openalex.org/W1966648469","https://openalex.org/W1967320885","https://openalex.org/W1993220166","https://openalex.org/W2096945460","https://openalex.org/W2104167780","https://openalex.org/W2104933073","https://openalex.org/W2107686700","https://openalex.org/W2128965734","https://openalex.org/W2132791018","https://openalex.org/W2148143831","https://openalex.org/W2149308034","https://openalex.org/W2152808281","https://openalex.org/W2396908641","https://openalex.org/W2609701267","https://openalex.org/W2618530766","https://openalex.org/W2767106145","https://openalex.org/W2794302998","https://openalex.org/W2949736877","https://openalex.org/W2954996726","https://openalex.org/W2963516811","https://openalex.org/W2964928445","https://openalex.org/W3001471657","https://openalex.org/W3084261808","https://openalex.org/W3088624649","https://openalex.org/W3109522940","https://openalex.org/W3176886376","https://openalex.org/W4251658412","https://openalex.org/W6606837198","https://openalex.org/W6631190155","https://openalex.org/W6680919041","https://openalex.org/W6682141768","https://openalex.org/W6736021936","https://openalex.org/W6787245701"],"related_works":["https://openalex.org/W2381411913","https://openalex.org/W2087331387","https://openalex.org/W4321151660","https://openalex.org/W4367000426","https://openalex.org/W2006060538","https://openalex.org/W4386047771","https://openalex.org/W2107708607","https://openalex.org/W3127908425","https://openalex.org/W4287332487","https://openalex.org/W3128926488"],"abstract_inverted_index":{"Importance":[0],"sampling,":[1,6],"a":[2,34,61],"variant":[3],"of":[4,25,33,36,48,60,66,81,94,97,108,148,181],"online":[5,41],"is":[7,55,90],"often":[8],"used":[9],"in":[10,20,79,92,136,155,179,195],"neural":[11],"network":[12],"training":[13,146,157],"to":[14,118,142,152],"improve":[15],"the":[16,22,26,31,49,58,64,72,109,121,127,139,149,177,182,186],"learning":[17,65],"process,":[18],"and,":[19],"particular,":[21],"convergence":[23,82,122,180],"speed":[24,83,123],"model.":[27],"We":[28,69],"study,":[29],"here,":[30],"performance":[32,78,194],"set":[35],"batch":[37],"selection":[38],"algorithms,":[39],"namely,":[40],"sampling":[42],"algorithms":[43],"that":[44,111],"process":[45],"small":[46],"parts":[47],"dataset":[50],"at":[51],"each":[52],"iteration.":[53],"Convergence":[54],"accelerated":[56],"through":[57],"creation":[59],"bias":[62],"towards":[63],"hard":[67],"samples.":[68],"first":[70],"consider":[71],"baseline":[73],"algorithm":[74,110,184],"and":[75,84,115,151,169],"investigate":[76],"its":[77],"terms":[80],"generalization":[85,114,193],"efficiency.":[86],"The":[87,174],"latter,":[88],"however,":[89],"limited":[91],"case":[93],"poor":[95],"balancing":[96],"data":[98,131,197],"sets.":[99],"To":[100],"alleviate":[101],"this":[102],"shortcoming,":[103],"we":[104],"propose":[105],"two":[106],"variations":[107],"achieve":[112],"better":[113,192],"also":[116],"manage":[117],"not":[119],"undermine":[120],"boost":[124],"offered":[125],"by":[126],"original":[128],"algorithm.":[129],"Various":[130],"transformation":[132],"techniques":[133],"were":[134],"tested":[135],"conjunction":[137],"with":[138],"proposed":[140],"scheme":[141],"develop":[143],"an":[144],"overall":[145],"method":[147],"model":[150],"ensure":[153],"robustness":[154],"different":[156],"environments.":[158,198],"An":[159],"experimental":[160],"framework":[161],"was":[162],"constructed":[163],"using":[164],"three":[165],"naturally":[166],"imbalanced":[167,172,196],"datasets":[168],"one":[170],"artificially":[171],"one.":[173],"results":[175],"assess":[176],"advantage":[178],"extended":[183],"over":[185],"vanilla":[187],"one,":[188],"but,":[189],"mostly,":[190],"show":[191]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2026-01-24T23:23:39.755997","created_date":"2025-10-10T00:00:00"}
