{"id":"https://openalex.org/W3174236562","doi":"https://doi.org/10.1109/tgrs.2021.3087186","title":"3-D Gabor Convolutional Neural Network for Hyperspectral Image Classification","display_name":"3-D Gabor Convolutional Neural Network for Hyperspectral Image Classification","publication_year":2021,"publication_date":"2021-06-18","ids":{"openalex":"https://openalex.org/W3174236562","doi":"https://doi.org/10.1109/tgrs.2021.3087186","mag":"3174236562"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2021.3087186","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3087186","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","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/A5035753061","display_name":"Sen Jia","orcid":"https://orcid.org/0000-0001-9742-5037"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"funder","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sen Jia","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the Ministry of Natural Resources, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the Ministry of Natural Resources, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961","https://openalex.org/I211433327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076333504","display_name":"Jianhui Liao","orcid":"https://orcid.org/0000-0001-5443-0397"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"funder","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhui Liao","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the Ministry of Natural Resources, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the Ministry of Natural Resources, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961","https://openalex.org/I211433327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038002446","display_name":"Meng Xu","orcid":"https://orcid.org/0000-0002-4056-7787"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"funder","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Xu","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the Ministry of Natural Resources, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the Ministry of Natural Resources, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961","https://openalex.org/I211433327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115076755","display_name":"Yan Li","orcid":"https://orcid.org/0000-0002-7048-3314"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Li","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051616840","display_name":"Jiasong Zhu","orcid":"https://orcid.org/0000-0001-6177-3363"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"funder","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiasong Zhu","raw_affiliation_strings":["Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the Ministry of Natural Resources, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the Ministry of Natural Resources, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961","https://openalex.org/I211433327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050009113","display_name":"Weiwei Sun","orcid":"https://orcid.org/0000-0003-3399-7858"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Sun","raw_affiliation_strings":["College of Architectural Engineering, Civil Engineering and Environment, Ningbo University, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"College of Architectural Engineering, Civil Engineering and Environment, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024631382","display_name":"Xiuping Jia","orcid":"https://orcid.org/0000-0001-9916-6382"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]},{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiuping Jia","raw_affiliation_strings":["School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100404067","display_name":"Qingquan Li","orcid":"https://orcid.org/0000-0002-2438-6046"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"funder","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingquan Li","raw_affiliation_strings":["Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the Ministry of Natural Resources, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the Ministry of Natural Resources, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961","https://openalex.org/I211433327"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5035753061"],"corresponding_institution_ids":["https://openalex.org/I180726961","https://openalex.org/I211433327"],"apc_list":null,"apc_paid":null,"fwci":4.789,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.95486752,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7873784899711609},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7716176509857178},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7654380798339844},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7212474346160889},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.701174795627594},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6396342515945435},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5013573169708252},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4399409592151642},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.4392293393611908},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4171975255012512},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3359520435333252},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.31872305274009705},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22198882699012756},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1545916199684143}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7873784899711609},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7716176509857178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7654380798339844},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7212474346160889},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.701174795627594},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6396342515945435},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5013573169708252},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4399409592151642},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.4392293393611908},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4171975255012512},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3359520435333252},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.31872305274009705},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22198882699012756},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1545916199684143},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2021.3087186","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3087186","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2264764757","display_name":null,"funder_award_id":"61901278","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3638989402","display_name":null,"funder_award_id":"41971300","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6222615510","display_name":null,"funder_award_id":"2020ZDZX3045","funder_id":"https://openalex.org/F4320326279","funder_display_name":"Department of Education of Guangdong Province"},{"id":"https://openalex.org/G8724390679","display_name":null,"funder_award_id":"62001303","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"},{"id":"https://openalex.org/F4320326279","display_name":"Department of Education of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1521436688","https://openalex.org/W1538725615","https://openalex.org/W1904365287","https://openalex.org/W1967649788","https://openalex.org/W1979743748","https://openalex.org/W2006500012","https://openalex.org/W2013251902","https://openalex.org/W2029316659","https://openalex.org/W2053154970","https://openalex.org/W2087263574","https://openalex.org/W2138100172","https://openalex.org/W2140991832","https://openalex.org/W2144966944","https://openalex.org/W2154624311","https://openalex.org/W2165573608","https://openalex.org/W2165731615","https://openalex.org/W2166056814","https://openalex.org/W2169856283","https://openalex.org/W2216125271","https://openalex.org/W2314785379","https://openalex.org/W2342652911","https://openalex.org/W2404926044","https://openalex.org/W2547018007","https://openalex.org/W2558098092","https://openalex.org/W2592962403","https://openalex.org/W2610691757","https://openalex.org/W2611655888","https://openalex.org/W2614286896","https://openalex.org/W2767651786","https://openalex.org/W2772452219","https://openalex.org/W2781745664","https://openalex.org/W2789436332","https://openalex.org/W2793941577","https://openalex.org/W2794905319","https://openalex.org/W2808098982","https://openalex.org/W2891059222","https://openalex.org/W2909491643","https://openalex.org/W2915281234","https://openalex.org/W2947295162","https://openalex.org/W2957810348","https://openalex.org/W2988006627","https://openalex.org/W2995099525","https://openalex.org/W3046027728","https://openalex.org/W3099211682","https://openalex.org/W3101446407","https://openalex.org/W3105357426","https://openalex.org/W3122774149","https://openalex.org/W6631190155","https://openalex.org/W6640036494","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W2132083814","https://openalex.org/W3128011703"],"abstract_inverted_index":{"Due":[0],"to":[1,22,78,160,175,209],"the":[2,33,45,66,79,85,97,129,142,152,162,167,173,178,186,192,200,210,217,223,241,246,263,267,270],"detailed":[3],"spectral":[4,10],"information":[5],"through":[6],"hundreds":[7],"of":[8,27,32,36,48,81,92,146,181,191,202,212,265,269],"narrow":[9],"bands":[11],"provided":[12],"by":[13],"hyperspectral":[14,37],"image":[15],"(HSI)":[16],"data,":[17],"it":[18],"can":[19,195,250],"be":[20,196],"employed":[21,159],"accurately":[23],"classify":[24],"diverse":[25],"materials":[26],"interest,":[28],"which":[29],"is":[30,73,121,205],"one":[31],"core":[34],"applications":[35],"remote":[38],"sensing":[39],"technology.":[40],"In":[41],"recent":[42],"years,":[43],"with":[44,111],"rapid":[46],"development":[47],"deep":[49,109],"learning,":[50],"convolutional":[51],"neural":[52],"networks":[53],"(CNNs)":[54],"have":[55,243],"been":[56],"successfully":[57],"applied":[58],"in":[59,104,134,240],"many":[60],"fields,":[61],"including":[62],"HSI":[63,93,124,147,233],"classification.":[64,125],"However,":[65],"random":[67,163],"gradient":[68],"descent-based":[69],"parameter":[70],"updating":[71],"scheme":[72],"too":[74],"general":[75],"and":[76,88,113,137,189,220,259],"leading":[77],"inefficiency":[80],"CNN":[82,119],"models.":[83],"Moreover,":[84,166],"high":[86],"dimensionality":[87],"limited":[89],"training":[90,218,224],"samples":[91],"data":[94,148],"also":[95,221],"exacerbate":[96],"overfitting":[98],"problem.":[99],"To":[100],"tackle":[101],"these":[102],"issues,":[103],"this":[105],"article,":[106],"a":[107],"novel":[108],"network":[110,174,203],"multilayer":[112],"multibranch":[114,170],"architecture,":[115],"named":[116],"3-D":[117,131,153,182,213],"Gabor":[118,132,183,214],"(3DG-CNN),":[120],"proposed":[122,247,271],"for":[123],"More":[126],"precisely,":[127],"since":[128],"predefined":[130],"filters":[133],"multiple":[135],"scales":[136],"orientations":[138],"could":[139],"well":[140],"characterize":[141],"internal":[143],"spatial\u2013spectral":[144],"structure":[145],"from":[149,226],"various":[150],"perspectives,":[151],"Gabor-modulated":[154],"kernels":[155],"(3-D":[156],"GMKs)":[157],"are":[158,274],"replace":[161],"initialization":[164],"kernels.":[165],"specially":[168],"designed":[169],"architecture":[171],"enables":[172],"better":[176,252],"integrating":[177],"scalable":[179],"property":[180],"filters;":[184],"thus,":[185],"representative":[187],"ability":[188],"robustness":[190],"extracted":[193],"features":[194],"greatly":[197],"improved.":[198],"Alternatively,":[199],"number":[201],"parameters":[204],"substantially":[206],"reduced":[207],"due":[208],"incorporation":[211],"modulation,":[215],"relieving":[216],"complexity":[219],"alleviating":[222],"process":[225],"overfitting.":[227],"Experimental":[228],"results":[229],"on":[230],"four":[231],"real":[232],"datasets":[234],"(including":[235],"two":[236],"newly":[237],"released":[238],"ones":[239],"literature)":[242],"demonstrated":[244],"that":[245],"3DG-CNN":[248,272],"model":[249,273],"achieve":[251],"performance":[253],"than":[254],"several":[255],"widely":[256],"used":[257],"machine-learning-based":[258],"deep-learning-based":[260],"approaches.":[261],"For":[262],"sake":[264],"reproducibility,":[266],"codes":[268],"available":[275],"at":[276],"<uri":[277],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[278],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">http://jiasen.tech/papers/</uri>":[279],".":[280]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":5}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
