{"id":"https://openalex.org/W4294266246","doi":"https://doi.org/10.3233/jifs-221389","title":"A new end-to-end semi-supervised deep learning framework for mastering robot-written character identification","display_name":"A new end-to-end semi-supervised deep learning framework for mastering robot-written character identification","publication_year":2022,"publication_date":"2022-09-02","ids":{"openalex":"https://openalex.org/W4294266246","doi":"https://doi.org/10.3233/jifs-221389"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-221389","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-221389","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-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/A5033804324","display_name":"Qilong Jia","orcid":"https://orcid.org/0000-0002-3256-8202"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qilong Jia","raw_affiliation_strings":["Navigation College, Dalian Maritime University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Navigation College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072886997","display_name":"Song Fan","orcid":"https://orcid.org/0000-0003-3131-6238"},"institutions":[{"id":"https://openalex.org/I114117164","display_name":"University of Science and Technology Liaoning","ror":"https://ror.org/03grx7119","country_code":"CN","type":"education","lineage":["https://openalex.org/I114117164"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Song Fan","raw_affiliation_strings":["School of Electronic and Information Engineering, University of Science and Technology Liaoning, AnShan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, University of Science and Technology Liaoning, AnShan, China","institution_ids":["https://openalex.org/I114117164"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5072886997"],"corresponding_institution_ids":["https://openalex.org/I114117164"],"apc_list":null,"apc_paid":null,"fwci":0.1007,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.37842673,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"43","issue":"6","first_page":"7833","last_page":"7846"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9994000196456909,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9994000196456909,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9965000152587891,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9944999814033508,"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/deep-learning","display_name":"Deep learning","score":0.880675733089447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8455280065536499},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7475279569625854},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.735787570476532},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.5613484382629395},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5523392558097839},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.48098742961883545},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.47594189643859863},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4481632709503174},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4399421513080597},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33375978469848633},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09035053849220276}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.880675733089447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8455280065536499},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7475279569625854},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.735787570476532},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.5613484382629395},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5523392558097839},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.48098742961883545},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.47594189643859863},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4481632709503174},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4399421513080597},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33375978469848633},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09035053849220276},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-221389","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-221389","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W100985474","https://openalex.org/W1498436455","https://openalex.org/W1983582488","https://openalex.org/W2027688623","https://openalex.org/W2041406732","https://openalex.org/W2076063813","https://openalex.org/W2095705004","https://openalex.org/W2097308346","https://openalex.org/W2100495367","https://openalex.org/W2102978615","https://openalex.org/W2106053110","https://openalex.org/W2132046011","https://openalex.org/W2137664016","https://openalex.org/W2147898188","https://openalex.org/W2161920802","https://openalex.org/W2165888424","https://openalex.org/W2187089797","https://openalex.org/W2207374674","https://openalex.org/W2412782625","https://openalex.org/W2463319845","https://openalex.org/W2590822257","https://openalex.org/W2618530766","https://openalex.org/W2619304139","https://openalex.org/W2622826443","https://openalex.org/W2919115771","https://openalex.org/W2940605507","https://openalex.org/W2940740645","https://openalex.org/W2963521811","https://openalex.org/W2979156612","https://openalex.org/W3030221510","https://openalex.org/W6674330103","https://openalex.org/W6675751002"],"related_works":["https://openalex.org/W4225394202","https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W2393609567","https://openalex.org/W3032952384","https://openalex.org/W4377865163","https://openalex.org/W2799384463","https://openalex.org/W3193857078","https://openalex.org/W3208304128","https://openalex.org/W3000197790"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"the":[3,44,50,57,60,70,75,90,120,129,137,143,150],"robot-written":[4,157],"character":[5,158],"identification":[6,159],"problem":[7],"under":[8,142],"an":[9],"end-to-end":[10],"semi-supervised":[11,17,51],"deep":[12,20,28,71,86,91,113,125,138,152],"learning":[13,18,21,24,52,61,145],"framework":[14,25,146],"consisting":[15],"of":[16,59,123,131],"and":[19,36],"modules.":[22],"The":[23],"allows":[26],"a":[27,63,85,103,112,124,156],"neural":[29,72,87,92,114,126,139,153],"network":[30,93,127],"to":[31,43,55,83,119],"be":[32,108],"trained":[33,141],"on":[34],"labeled":[35,97,133],"pseudo-labeled":[37,40,80],"samples":[38,41,45,81,98,106],"where":[39],"refer":[42],"with":[46],"labels":[47],"predicted":[48],"by":[49],"module.":[53],"Moreover,":[54],"guarantee":[56],"feasibility":[58],"framework,":[62],"two-stage":[64,76],"strategy":[65,78],"is":[66,94,117],"proposed":[67,144],"for":[68,110],"training":[69,77,111],"network.":[73],"Specifically,":[74],"adopts":[79],"firstly":[82],"train":[84],"network,":[88,115],"then":[89],"refined":[95],"using":[96],"one":[99],"more":[100,105],"time.":[101],"As":[102],"result,":[104],"can":[107],"used":[109],"which":[116],"significant":[118],"performance":[121],"improvement":[122],"in":[128,155],"case":[130],"inadequate":[132],"samples.":[134],"More":[135],"importantly,":[136],"networks":[140,154],"perform":[147],"better":[148],"than":[149],"famous":[151],"experiment.":[160]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
