{"id":"https://openalex.org/W2548023092","doi":"https://doi.org/10.1109/igarss.2016.7729677","title":"A modified class-specific weighted soft voting for bagging ensemble","display_name":"A modified class-specific weighted soft voting for bagging ensemble","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2548023092","doi":"https://doi.org/10.1109/igarss.2016.7729677","mag":"2548023092"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2016.7729677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-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/A5083289658","display_name":"Laxmi Narayana Eeti","orcid":null},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Laxmi Narayana Eeti","raw_affiliation_strings":["Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, Mumbai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059951735","display_name":"Krishna Mohan Buddhiraju","orcid":"https://orcid.org/0000-0001-6815-8988"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Krishna Mohan Buddhiraju","raw_affiliation_strings":["Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, Mumbai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.11583399,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2622","last_page":"2625"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9912999868392944,"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/T10057","display_name":"Face and Expression Recognition","score":0.9912999868392944,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9879000186920166,"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/voting","display_name":"Voting","score":0.7073214054107666},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6290004849433899},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6015194654464722},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5755395293235779},{"id":"https://openalex.org/keywords/weighted-voting","display_name":"Weighted voting","score":0.5404875874519348},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5396788716316223},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5392630696296692},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5138659477233887},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.479867160320282},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4194844365119934},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41941338777542114}],"concepts":[{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.7073214054107666},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6290004849433899},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6015194654464722},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5755395293235779},{"id":"https://openalex.org/C132778050","wikidata":"https://www.wikidata.org/wiki/Q2065430","display_name":"Weighted voting","level":4,"score":0.5404875874519348},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5396788716316223},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5392630696296692},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5138659477233887},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.479867160320282},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4194844365119934},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41941338777542114},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2016.7729677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W127599202","https://openalex.org/W605727707","https://openalex.org/W2052984131","https://openalex.org/W2102734279","https://openalex.org/W2124868070","https://openalex.org/W2164568552","https://openalex.org/W2165491713","https://openalex.org/W4212883601","https://openalex.org/W4232478844","https://openalex.org/W4248018214"],"related_works":["https://openalex.org/W2008876309","https://openalex.org/W3121841074","https://openalex.org/W2055572829","https://openalex.org/W2010932316","https://openalex.org/W1497951756","https://openalex.org/W3036613766","https://openalex.org/W2997514867","https://openalex.org/W2973321216","https://openalex.org/W4243868241","https://openalex.org/W2121434426"],"abstract_inverted_index":{"In":[0],"ensemble":[1,16,41],"methods":[2],"applied":[3],"to":[4,87,103],"base":[5],"classifiers":[6],"that":[7,31],"generate":[8],"class":[9],"probabilities,":[10],"such":[11,47],"classification":[12],"outputs":[13],"from":[14,117],"individual":[15],"members":[17],"are":[18,25,53,130],"combined":[19],"using":[20,27,113],"soft":[21,111],"voting":[22,112],"method.":[23],"Weights":[24],"computed":[26],"an":[28,101],"optimization":[29],"function":[30],"is":[32,57,100],"based":[33],"upon":[34],"the":[35,73,105,133],"test":[36],"performance":[37],"of":[38,59,61,65,75,107,124,135],"all":[39],"trained":[40],"members.":[42,76],"However,":[43],"in":[44,132,143],"special":[45],"case":[46],"as":[48],"bagging":[49],"method":[50],"where":[51],"samples":[52,69,83],"chosen":[54],"randomly,":[55],"there":[56],"chance":[58],"repetition":[60,118],"same":[62],"samples,":[63],"lacking":[64],"class-specific":[66,109,128],"global":[67],"representative":[68,82],"which":[70],"could":[71,84],"influence":[72],"behavior":[74],"Aforementioned":[77],"a":[78,94],"priori":[79],"information":[80,115],"on":[81],"be":[85],"used":[86],"reinforce":[88],"or":[89],"dilute":[90],"weightage":[91],"values":[92],"for":[93],"particular":[95],"class.":[96],"The":[97],"present":[98],"paper":[99],"attempt":[102],"explore":[104],"possibility":[106],"improving":[108],"weighted":[110],"proportionality":[114],"derived":[116],"and":[119],"intra-class":[120],"variability":[121],"(global":[122],"representation)":[123],"training":[125],"samples.":[126],"Additional":[127],"weights":[129],"assigned":[131],"computation":[134],"final":[136],"decision.":[137],"Preliminary":[138],"results":[139],"show":[140],"slight":[141],"improvement":[142],"accuracies.":[144]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}