{"id":"https://openalex.org/W2917692483","doi":"https://doi.org/10.1109/access.2019.2900327","title":"Classification of Canker on Small Datasets Using Improved Deep Convolutional Generative Adversarial Networks","display_name":"Classification of Canker on Small Datasets Using Improved Deep Convolutional Generative Adversarial Networks","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2917692483","doi":"https://doi.org/10.1109/access.2019.2900327","mag":"2917692483"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2900327","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2900327","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08648422.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/ielx7/6287639/8600701/08648422.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101975644","display_name":"Min Zhang","orcid":"https://orcid.org/0000-0003-3890-2942"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Zhang","raw_affiliation_strings":["Chongqing Key Laboratory of Software Theory and Technology, College of Computer Science, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0003-3890-2942","affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Software Theory and Technology, College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048293052","display_name":"Shuheng Liu","orcid":"https://orcid.org/0000-0001-7130-1888"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuheng Liu","raw_affiliation_strings":["Department of Automation, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102306794","display_name":"Fangyun Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]},{"id":"https://openalex.org/I4210100403","display_name":"Citrus Research Institute","ror":"https://ror.org/00mc9zb90","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210100403","https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangyun Yang","raw_affiliation_strings":["Citrus Research Institute, Southwest University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Citrus Research Institute, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I4210100403","https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100689700","display_name":"Ji Liu","orcid":"https://orcid.org/0000-0002-0059-4588"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji Liu","raw_affiliation_strings":["Chongqing Key Laboratory of Software Theory and Technology, College of Computer Science, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-0059-4588","affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Software Theory and Technology, College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.9152,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.78624404,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"49680","last_page":"49690"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9987999796867371,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9987999796867371,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9969000220298767,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9962999820709229,"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":0.7401493787765503},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6401381492614746},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.595163106918335},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.5887318849563599},{"id":"https://openalex.org/keywords/canker","display_name":"Canker","score":0.5011844635009766},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4885929226875305},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4839325547218323},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38693130016326904},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.38690119981765747},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.05401182174682617}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7401493787765503},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6401381492614746},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.595163106918335},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.5887318849563599},{"id":"https://openalex.org/C2777247689","wikidata":"https://www.wikidata.org/wiki/Q811596","display_name":"Canker","level":2,"score":0.5011844635009766},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4885929226875305},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4839325547218323},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38693130016326904},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.38690119981765747},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.05401182174682617},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2900327","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2900327","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08648422.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:fc7556e38faa46f1b719d227844723a6","is_oa":true,"landing_page_url":"https://doaj.org/article/fc7556e38faa46f1b719d227844723a6","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 7, Pp 49680-49690 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2900327","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2900327","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08648422.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":[],"awards":[{"id":"https://openalex.org/G2145911439","display_name":null,"funder_award_id":"61701051","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2917692483.pdf","grobid_xml":"https://content.openalex.org/works/W2917692483.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1943545547","https://openalex.org/W2021354639","https://openalex.org/W2044097773","https://openalex.org/W2073677295","https://openalex.org/W2163605009","https://openalex.org/W2346062110","https://openalex.org/W2404400986","https://openalex.org/W2470394683","https://openalex.org/W2521028896","https://openalex.org/W2738945019","https://openalex.org/W2796484570","https://openalex.org/W2811076186","https://openalex.org/W2962734576","https://openalex.org/W2963226019","https://openalex.org/W2963373786","https://openalex.org/W2964201867","https://openalex.org/W4295521014","https://openalex.org/W4320013936","https://openalex.org/W6684191040","https://openalex.org/W6713658583","https://openalex.org/W6718140377","https://openalex.org/W6718379498","https://openalex.org/W6735913928"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2888032422","https://openalex.org/W2996316059","https://openalex.org/W4385421777","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W2845413374","https://openalex.org/W3005996785","https://openalex.org/W4297411772","https://openalex.org/W4235873501"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,78,160,166,188],"deep":[4,83,190],"learning":[5,191],"model":[6,63,80,96,170,192],"for":[7,27,110,187],"the":[8,15,21,34,39,46,62,72,95,107,115,124,139,147,179],"classification":[9,148],"of":[10,17,24,74,94,126,149,153,181],"citrus":[11],"canker":[12],"that":[13,138],"overcomes":[14],"shortcomings":[16],"traditional":[18,144],"approaches,":[19,44,117],"and":[20,49,56,60,129,134,151],"scarce":[22],"number":[23],"available":[25],"images":[26],"training,":[28],"which":[29],"have":[30],"been":[31],"subject":[32],"to":[33,53,122,136,164,174,193],"overfitting":[35,65],"limitation.":[36],"To":[37,113],"address":[38],"issues,":[40],"we":[41,118],"propose":[42],"two":[43],"namely,":[45],"feature":[47],"magnification":[48],"objective":[50],"breakdown":[51],"optimization,":[52],"augment":[54],"datasets,":[55],"emphasizes":[57],"meaningful":[58],"features":[59],"prevent":[61],"from":[64],"noise":[66],"signals.":[67],"The":[68,88,169],"first":[69],"approach":[70,90],"mimics":[71],"distribution":[73],"positive":[75],"samples":[76,183],"with":[77,97],"generative":[79,85],"based":[81],"on":[82,146],"convolutional":[84],"adversarial":[86],"networks.":[87],"second":[89],"updates":[91],"different":[92],"parts":[93],"optimization":[98],"objectives,":[99],"whereby":[100],"back-propagated":[101],"error":[102],"signals":[103],"are":[104],"no":[105],"longer":[106],"only":[108],"signal":[109],"updating":[111],"parameters.":[112],"validate":[114],"proposed":[116,140,163],"present":[119],"theoretical":[120],"proofs":[121],"justify":[123],"correctness":[125],"our":[127],"methods":[128],"conduct":[130],"extensive":[131],"case":[132],"studies":[133],"experiments":[135],"show":[137],"approaches":[141,145],"clearly":[142],"outperform":[143],"accuracy":[150],"efficiency":[152],"small":[154],"training":[155],"sets.":[156],"In":[157],"this":[158],"paper,":[159],"methodology":[161],"is":[162],"generate":[165],"general":[167],"model.":[168],"can":[171],"be":[172],"applied":[173],"other":[175],"bio-medical":[176],"applications,":[177],"where":[178],"scarcity":[180],"visual":[182],"makes":[184],"it":[185],"difficult":[186],"normal":[189],"work":[194],"without":[195],"overfitting.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}