{"id":"https://openalex.org/W4360584294","doi":"https://doi.org/10.1109/access.2023.3260771","title":"Active Learning Based on Transfer Learning Techniques for Text Classification","display_name":"Active Learning Based on Transfer Learning Techniques for Text Classification","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4360584294","doi":"https://doi.org/10.1109/access.2023.3260771"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3260771","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3260771","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10078385.pdf","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://ieeexplore.ieee.org/ielx7/6287639/6514899/10078385.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040104425","display_name":"Daniela Onita","orcid":"https://orcid.org/0000-0003-2474-7259"},"institutions":[{"id":"https://openalex.org/I141595442","display_name":"University of Bucharest","ror":"https://ror.org/02x2v6p15","country_code":"RO","type":"education","lineage":["https://openalex.org/I141595442"]},{"id":"https://openalex.org/I4210140223","display_name":"1 Decembrie 1918 University","ror":"https://ror.org/04577k168","country_code":"RO","type":"education","lineage":["https://openalex.org/I4210140223"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Daniela Onita","raw_affiliation_strings":["Department of Computer Science, University of Bucharest, Bucharest, Romania","Department of Computer Science, University of Bucharest, Panduri Street, Sector 5, Bucharest, Romania","Department of Computer Science, \"1 Decembrie 1918\" University of Alba Iulia, Gabriel Bethlen, Alba Iulia, Romania"],"raw_orcid":"https://orcid.org/0000-0003-2474-7259","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Bucharest, Bucharest, Romania","institution_ids":["https://openalex.org/I141595442"]},{"raw_affiliation_string":"Department of Computer Science, University of Bucharest, Panduri Street, Sector 5, Bucharest, Romania","institution_ids":["https://openalex.org/I141595442"]},{"raw_affiliation_string":"Department of Computer Science, \"1 Decembrie 1918\" University of Alba Iulia, Gabriel Bethlen, Alba Iulia, Romania","institution_ids":["https://openalex.org/I4210140223"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5040104425"],"corresponding_institution_ids":["https://openalex.org/I141595442","https://openalex.org/I4210140223"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.7072,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.94349034,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"28751","last_page":"28761"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9991999864578247,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9991999864578247,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9977999925613403,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9901000261306763,"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":0.8265966176986694},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7011144757270813},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6813603639602661},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6685278415679932},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6292534470558167},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.59546959400177},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.583525538444519},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.5505049228668213},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.4880312979221344},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.45262476801872253},{"id":"https://openalex.org/keywords/text-categorization","display_name":"Text categorization","score":0.44854727387428284},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.44609054923057556},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.44225844740867615},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4281061589717865}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8265966176986694},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7011144757270813},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6813603639602661},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6685278415679932},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6292534470558167},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.59546959400177},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.583525538444519},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.5505049228668213},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.4880312979221344},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.45262476801872253},{"id":"https://openalex.org/C2986744138","wikidata":"https://www.wikidata.org/wiki/Q302088","display_name":"Text categorization","level":3,"score":0.44854727387428284},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.44609054923057556},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.44225844740867615},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4281061589717865},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3260771","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3260771","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10078385.pdf","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:498342d1d1a74d4da881422da86f81c6","is_oa":true,"landing_page_url":"https://doaj.org/article/498342d1d1a74d4da881422da86f81c6","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 11, Pp 28751-28761 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3260771","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3260771","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10078385.pdf","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":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4360584294.pdf","grobid_xml":"https://content.openalex.org/works/W4360584294.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W2008205547","https://openalex.org/W2036166268","https://openalex.org/W2114524997","https://openalex.org/W2153718513","https://openalex.org/W2165698076","https://openalex.org/W2794129223","https://openalex.org/W2899747753","https://openalex.org/W2912664121","https://openalex.org/W2913347479","https://openalex.org/W2951147191","https://openalex.org/W2972422394","https://openalex.org/W2987769531","https://openalex.org/W2997591727","https://openalex.org/W3010212250","https://openalex.org/W3025656547","https://openalex.org/W3049254243","https://openalex.org/W3087118153","https://openalex.org/W3090986316","https://openalex.org/W3106294914","https://openalex.org/W3118792136","https://openalex.org/W3119497443","https://openalex.org/W3122886537","https://openalex.org/W3129213891","https://openalex.org/W3177702355","https://openalex.org/W3198848420","https://openalex.org/W3212264119","https://openalex.org/W4206723194","https://openalex.org/W4211223944","https://openalex.org/W4318570212","https://openalex.org/W6630882758","https://openalex.org/W6676984168","https://openalex.org/W6682095809","https://openalex.org/W6756319456"],"related_works":["https://openalex.org/W2821676139","https://openalex.org/W2056314584","https://openalex.org/W3043695725","https://openalex.org/W4382138864","https://openalex.org/W1492505081","https://openalex.org/W4387770285","https://openalex.org/W3022215768","https://openalex.org/W1986633584","https://openalex.org/W2584335068","https://openalex.org/W2976807053"],"abstract_inverted_index":{"Text":[0],"preprocessing":[1],"is":[2,22],"a":[3,23,39],"common":[4],"task":[5],"in":[6],"machine":[7],"learning":[8,40,63,80],"applications":[9],"that":[10,31,132],"involves":[11],"hand-labeling":[12],"sets.":[13],"Although":[14],"automatic":[15],"and":[16,61,85,111,136],"semi-automatic":[17],"annotation":[18],"of":[19,44,59,69,79,100,128,149],"text":[20,73],"data":[21,121],"growing":[24],"field,":[25],"researchers":[26],"need":[27],"to":[28,48,87],"develop":[29],"models":[30,90],"use":[32],"resources":[33],"as":[34,36],"efficiently":[35],"possible":[37],"for":[38,102],"task.":[41],"The":[42,126],"goal":[43],"this":[45,55],"work":[46],"was":[47,64,117],"learn":[49],"faster":[50],"with":[51,66,91,143],"fewer":[52,144],"resources.":[53],"In":[54],"paper,":[56],"the":[57,67,129,139],"combination":[58],"active":[60,112,135],"transfer":[62,113,137],"examined":[65],"purpose":[68],"developing":[70],"an":[71],"effective":[72],"categorization":[74],"method.":[75],"These":[76],"two":[77],"forms":[78],"have":[81],"proven":[82],"their":[83],"efficiency":[84],"capacity":[86],"train":[88],"correct":[89],"substantially":[92],"less":[93],"training":[94,104,150],"data.":[95],"We":[96],"considered":[97],"three":[98],"types":[99],"criteria":[101],"selecting":[103],"points:":[105],"random":[106,147],"selection,":[107],"uncertainty":[108],"sampling":[109],"criterion":[110],"selection.":[114],"Experimental":[115],"evaluation":[116],"performed":[118],"on":[119],"five":[120],"sets":[122],"from":[123],"different":[124],"domains.":[125],"findings":[127],"experiments":[130],"suggest":[131],"by":[133],"combining":[134],"learning,":[138],"algorithm":[140],"performs":[141],"better":[142],"labels":[145],"than":[146],"selection":[148],"points.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}