{"id":"https://openalex.org/W4205694852","doi":"https://doi.org/10.1109/jstars.2021.3132993","title":"Hyperspectral Imagery Classification via Random Multigraphs Ensemble Learning","display_name":"Hyperspectral Imagery Classification via Random Multigraphs Ensemble Learning","publication_year":2021,"publication_date":"2021-12-09","ids":{"openalex":"https://openalex.org/W4205694852","doi":"https://doi.org/10.1109/jstars.2021.3132993"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2021.3132993","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2021.3132993","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9656571/09645331.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/9656571/09645331.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085486147","display_name":"Yanling Miao","orcid":"https://orcid.org/0000-0001-6037-5726"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanling Miao","raw_affiliation_strings":["School of Computer Science and the School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and the School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087975803","display_name":"Mulin Chen","orcid":"https://orcid.org/0000-0003-4634-3802"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mulin Chen","raw_affiliation_strings":["School of Artificial Intelligence Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100334733","display_name":"Yuan Yuan","orcid":"https://orcid.org/0000-0001-7964-6514"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Yuan","raw_affiliation_strings":["School of Artificial Intelligence Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106124934","display_name":"Jocelyn Chanussot","orcid":"https://orcid.org/0000-0003-4817-2875"},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210124956","display_name":"GIPSA-Lab","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jocelyn Chanussot","raw_affiliation_strings":["Univ. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-Lab, Grenoble, France"],"affiliations":[{"raw_affiliation_string":"Univ. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-Lab, Grenoble, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100341321","display_name":"Qi Wang","orcid":"https://orcid.org/0000-0002-7028-4956"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Wang","raw_affiliation_strings":["School of Artificial Intelligence Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5085486147"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":1.7689,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.86788195,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"15","issue":null,"first_page":"641","last_page":"653"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9682000279426575,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8905348181724548},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7127283811569214},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6758203506469727},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.647247314453125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6395058631896973},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5806047320365906},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5755083560943604},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5248613357543945},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5123707056045532},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.46455568075180054},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4541780352592468},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4471304416656494},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4430793523788452},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.41800305247306824},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3366742730140686},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2383352816104889},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13311466574668884},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.09144726395606995}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8905348181724548},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7127283811569214},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6758203506469727},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.647247314453125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6395058631896973},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5806047320365906},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5755083560943604},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5248613357543945},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5123707056045532},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.46455568075180054},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4541780352592468},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4471304416656494},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4430793523788452},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.41800305247306824},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3366742730140686},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2383352816104889},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13311466574668884},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.09144726395606995},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2021.3132993","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2021.3132993","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9656571/09645331.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d41b5e37edb248f6b1e18258689b9f14","is_oa":true,"landing_page_url":"https://doaj.org/article/d41b5e37edb248f6b1e18258689b9f14","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":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 641-653 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2021.3132993","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2021.3132993","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9656571/09645331.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.75,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1023919524","display_name":null,"funder_award_id":", Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G11847706","display_name":null,"funder_award_id":"61632018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1964179093","display_name":null,"funder_award_id":"U21B2041","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2513133394","display_name":null,"funder_award_id":"61825603","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3196644182","display_name":null,"funder_award_id":"U1864204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7110923200","display_name":null,"funder_award_id":"U1864204,","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4205694852.pdf","grobid_xml":"https://content.openalex.org/works/W4205694852.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W1966580635","https://openalex.org/W1981080484","https://openalex.org/W2019188302","https://openalex.org/W2031510368","https://openalex.org/W2054022051","https://openalex.org/W2072187267","https://openalex.org/W2109836508","https://openalex.org/W2129652905","https://openalex.org/W2271716409","https://openalex.org/W2313771561","https://openalex.org/W2319892480","https://openalex.org/W2344430579","https://openalex.org/W2345059010","https://openalex.org/W2522078899","https://openalex.org/W2574557462","https://openalex.org/W2589840226","https://openalex.org/W2605100742","https://openalex.org/W2620264943","https://openalex.org/W2620830647","https://openalex.org/W2754064832","https://openalex.org/W2762468750","https://openalex.org/W2766988636","https://openalex.org/W2801324747","https://openalex.org/W2884276099","https://openalex.org/W2885260938","https://openalex.org/W2887596409","https://openalex.org/W2889192935","https://openalex.org/W2908349615","https://openalex.org/W2915658286","https://openalex.org/W2945696115","https://openalex.org/W2946643086","https://openalex.org/W2962702700","https://openalex.org/W2964072855","https://openalex.org/W2976324021","https://openalex.org/W2981394989","https://openalex.org/W2985868110","https://openalex.org/W3001401628","https://openalex.org/W3012401683","https://openalex.org/W3015746332","https://openalex.org/W3046819794","https://openalex.org/W3047443805","https://openalex.org/W3091200196","https://openalex.org/W3099831940","https://openalex.org/W3100958491","https://openalex.org/W3102208898","https://openalex.org/W3103695279","https://openalex.org/W3129293716","https://openalex.org/W3134057914","https://openalex.org/W3135770503","https://openalex.org/W3165209762","https://openalex.org/W3172902538","https://openalex.org/W3207014535","https://openalex.org/W6629858893"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2404757046","https://openalex.org/W2070598848","https://openalex.org/W2019190440","https://openalex.org/W2761785940","https://openalex.org/W2129933262"],"abstract_inverted_index":{"Hyperspectral":[0],"imagery":[1],"(HSI)":[2],"classification,":[3],"which":[4,73,100,121],"attempts":[5],"to":[6,32,47,54,75,143,168,185],"assign":[7],"hyperspectral":[8,59,193],"pixels":[9],"with":[10,118],"proper":[11],"labels,":[12],"has":[13],"drawn":[14],"significant":[15],"attention":[16],"in":[17],"various":[18],"applications.":[19],"Recently,":[20],"the":[21,29,34,49,55,62,78,112,123,145,149,153,156,170,178,197],"graph-based":[22,63,94],"semisupervised":[23],"learning":[24],"(SSL)":[25],"approaches":[26],"have":[27],"shown":[28],"outstanding":[30],"ability":[31],"handle":[33],"situation":[35],"of":[36,58,84,138,148,172,205],"limited":[37],"labeled":[38],"data":[39,174],"for":[40,98],"classification":[41,96],"task.":[42],"However,":[43],"it":[44],"is":[45,101,116,160],"hard":[46],"construct":[48],"pairwise":[50],"adjacent":[51,163],"graph":[52,114],"due":[53],"high":[56],"dimensionality":[57],"data.":[60],"Besides,":[61],"SSL":[64,95],"models":[65],"are":[66],"usually":[67],"decided":[68],"by":[69,127,181],"a":[70,92],"single":[71],"classifier,":[72],"fail":[74],"effectively":[76],"learn":[77,186],"complex":[79],"structures":[80,137],"and":[81,107,151],"intrinsic":[82],"properties":[83],"HSI.":[85],"To":[86],"address":[87],"these":[88],"problems,":[89],"we":[90,176],"propose":[91],"novel":[93],"model":[97],"HSI,":[99],"based":[102],"on":[103,131,191],"random":[104],"multigraphs":[105],"construction":[106],"ensemble":[108,179],"strategy":[109],"(RMGE).":[110],"Specifically,":[111],"anchor":[113],"(AG)":[115],"constructed":[117],"spatial\u2013spectral":[119],"features,":[120],"integrates":[122],"spatial":[124],"characteristics":[125],"extracted":[126],"local":[128,139],"binary":[129],"pattern":[130],"each":[132],"selected":[133],"spectrum,":[134],"preserving":[135],"fine":[136],"region.":[140],"In":[141,166],"order":[142],"enhance":[144],"discriminative":[146],"capability":[147],"classifier":[150],"avoid":[152],"trivial":[154],"solution,":[155],"maximum":[157],"entropy":[158],"regularization":[159],"added":[161],"into":[162],"AG":[164],"model.":[165],"addition,":[167],"capture":[169],"diversity":[171],"HSI":[173,187],"effectively,":[175],"design":[177],"framework":[180],"employing":[182],"multiple":[183],"AGs":[184],"features.":[188],"Experiments":[189],"conducted":[190],"real":[192],"datasets":[194],"indicate":[195],"that":[196,204],"proposed":[198],"RMGE":[199],"shows":[200],"better":[201],"performance":[202],"than":[203],"state-of-the-art":[206],"approaches.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":7}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
