{"id":"https://openalex.org/W2039727141","doi":"https://doi.org/10.1109/ccis.2012.6664309","title":"A semi-supervised ensemble learning algorithm","display_name":"A semi-supervised ensemble learning algorithm","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W2039727141","doi":"https://doi.org/10.1109/ccis.2012.6664309","mag":"2039727141"},"language":"en","primary_location":{"id":"doi:10.1109/ccis.2012.6664309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2012.6664309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems","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/A5013789363","display_name":"Zhen Jiang","orcid":"https://orcid.org/0000-0001-6025-0333"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhen Jiang","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100622169","display_name":"Shiyong Zhang","orcid":"https://orcid.org/0000-0002-7255-9204"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyong Zhang","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5013789363"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.0968765,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"18","issue":null,"first_page":"913","last_page":"918"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9980000257492065,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.8258403539657593},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7228776812553406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6436780095100403},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6227125525474548},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6140887141227722},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5198227167129517},{"id":"https://openalex.org/keywords/co-training","display_name":"Co-training","score":0.5157935619354248},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5054776668548584},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43796882033348083},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.42715728282928467},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37593936920166016}],"concepts":[{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.8258403539657593},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7228776812553406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6436780095100403},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6227125525474548},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6140887141227722},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5198227167129517},{"id":"https://openalex.org/C2776959682","wikidata":"https://www.wikidata.org/wiki/Q17005296","display_name":"Co-training","level":3,"score":0.5157935619354248},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5054776668548584},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43796882033348083},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.42715728282928467},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37593936920166016},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccis.2012.6664309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2012.6664309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1483660231","https://openalex.org/W1551909886","https://openalex.org/W1576520375","https://openalex.org/W1756896031","https://openalex.org/W1998565453","https://openalex.org/W2037603696","https://openalex.org/W2048679005","https://openalex.org/W2071927551","https://openalex.org/W2100128988","https://openalex.org/W2104331347","https://openalex.org/W2104755048","https://openalex.org/W2111700528","https://openalex.org/W2112076978","https://openalex.org/W2126514932","https://openalex.org/W2128073546","https://openalex.org/W2130844314","https://openalex.org/W2133556223","https://openalex.org/W2140076625","https://openalex.org/W2145234365","https://openalex.org/W2145376937","https://openalex.org/W2153818524","https://openalex.org/W4212883601","https://openalex.org/W4244259635","https://openalex.org/W6628941266","https://openalex.org/W6633119224","https://openalex.org/W6637875599","https://openalex.org/W6676769703","https://openalex.org/W6679154154","https://openalex.org/W6679508800","https://openalex.org/W6680860788","https://openalex.org/W6681427677"],"related_works":["https://openalex.org/W2251208230","https://openalex.org/W2186473728","https://openalex.org/W2381566779","https://openalex.org/W264117909","https://openalex.org/W2133556223","https://openalex.org/W2382572377","https://openalex.org/W2215421138","https://openalex.org/W2098708659","https://openalex.org/W2165396616","https://openalex.org/W121244246"],"abstract_inverted_index":{"The":[0],"success":[1],"of":[2,74,81],"ensemble":[3,21,25,49,102],"learning":[4,26],"usually":[5],"depends":[6],"on":[7,92],"available":[8],"labeled":[9,37],"data.":[10],"We":[11,88],"present":[12],"a":[13,67],"new":[14,31],"and":[15,39,45,85,96],"more":[16],"general":[17],"co-training":[18,75,103],"style":[19,76],"framework,":[20],"co-training,":[22],"to":[23],"combine":[24],"with":[27],"semi-supervised":[28],"learning.":[29],"A":[30],"classifier":[32],"is":[33],"generated":[34],"using":[35],"both":[36,82],"data":[38],"the":[40,48,54,61,71,79,97,101],"most":[41,55],"confident":[42],"newly-predicted":[43],"data,":[44],"added":[46],"into":[47],"at":[50],"each":[51],"round.":[52],"Finally,":[53],"credible":[56],"classifiers":[57],"are":[58],"selected":[59],"for":[60,70],"final":[62],"prediction.":[63],"Furthermore,":[64],"we":[65],"provide":[66],"theoretical":[68],"analysis":[69],"learnable":[72],"ability":[73],"algorithms":[77,109],"in":[78,110],"presence":[80],"classification":[83],"noise":[84],"distribution":[86],"noise.":[87],"demonstrate":[89],"our":[90],"algorithm":[91],"six":[93],"text":[94],"datasets,":[95],"results":[98],"show":[99],"that":[100],"performs":[104],"better":[105],"than":[106],"other":[107],"state-of-the-art":[108],"practice.":[111]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}