{"id":"https://openalex.org/W4296499376","doi":"https://doi.org/10.1007/978-3-031-16210-7_15","title":"SSTop3: Sole-Top-Three and Sum-Top-Three Class Prediction Ensemble Method Using Deep Learning Classification Models","display_name":"SSTop3: Sole-Top-Three and Sum-Top-Three Class Prediction Ensemble Method Using Deep Learning Classification Models","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4296499376","doi":"https://doi.org/10.1007/978-3-031-16210-7_15"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-16210-7_15","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-16210-7_15","pdf_url":null,"source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5084255344","display_name":"Abdulaziz Anorboev","orcid":"https://orcid.org/0000-0003-1416-7138"},"institutions":[{"id":"https://openalex.org/I55240360","display_name":"Yeungnam University","ror":"https://ror.org/05yc6p159","country_code":"KR","type":"education","lineage":["https://openalex.org/I55240360"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Abdulaziz Anorboev","raw_affiliation_strings":["Yeungnam University, Daegu, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-1416-7138","affiliations":[{"raw_affiliation_string":"Yeungnam University, Daegu, Republic of Korea","institution_ids":["https://openalex.org/I55240360"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091106383","display_name":"Javokhir Musaev","orcid":"https://orcid.org/0000-0003-4656-0479"},"institutions":[{"id":"https://openalex.org/I55240360","display_name":"Yeungnam University","ror":"https://ror.org/05yc6p159","country_code":"KR","type":"education","lineage":["https://openalex.org/I55240360"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Javokhir Musaev","raw_affiliation_strings":["Yeungnam University, Daegu, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-4656-0479","affiliations":[{"raw_affiliation_string":"Yeungnam University, Daegu, Republic of Korea","institution_ids":["https://openalex.org/I55240360"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019410243","display_name":"Jeongkyu Hong","orcid":"https://orcid.org/0000-0003-4541-2255"},"institutions":[{"id":"https://openalex.org/I55240360","display_name":"Yeungnam University","ror":"https://ror.org/05yc6p159","country_code":"KR","type":"education","lineage":["https://openalex.org/I55240360"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jeongkyu Hong","raw_affiliation_strings":["Yeungnam University, Daegu, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-4541-2255","affiliations":[{"raw_affiliation_string":"Yeungnam University, Daegu, Republic of Korea","institution_ids":["https://openalex.org/I55240360"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047517734","display_name":"Ngoc Thanh Nguy\u00ean","orcid":"https://orcid.org/0000-0002-3247-2948"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Ngoc Thanh Nguyen","raw_affiliation_strings":["Wroclaw University of Science and Technology, Wroclaw, Poland"],"raw_orcid":"https://orcid.org/0000-0002-3247-2948","affiliations":[{"raw_affiliation_string":"Wroclaw University of Science and Technology, Wroclaw, Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032265881","display_name":"Dosam Hwang","orcid":"https://orcid.org/0000-0001-7851-7323"},"institutions":[{"id":"https://openalex.org/I55240360","display_name":"Yeungnam University","ror":"https://ror.org/05yc6p159","country_code":"KR","type":"education","lineage":["https://openalex.org/I55240360"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dosam Hwang","raw_affiliation_strings":["Yeungnam University, Daegu, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-7851-7323","affiliations":[{"raw_affiliation_string":"Yeungnam University, Daegu, Republic of Korea","institution_ids":["https://openalex.org/I55240360"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1289,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.88411838,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"193","last_page":"199"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9980000257492065,"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":0.9980000257492065,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9957000017166138,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7302600145339966},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7087146043777466},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6660913228988647},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.6437845230102539},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6322027444839478},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5304650068283081},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5245630741119385},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4976086914539337},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4917807877063751},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.46032941341400146},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.4287707805633545},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33727067708969116},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.325758695602417},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2194051444530487}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7302600145339966},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7087146043777466},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6660913228988647},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.6437845230102539},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6322027444839478},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5304650068283081},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5245630741119385},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4976086914539337},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4917807877063751},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.46032941341400146},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.4287707805633545},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33727067708969116},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.325758695602417},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2194051444530487},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-16210-7_15","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-16210-7_15","pdf_url":null,"source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W14929449","https://openalex.org/W1550585437","https://openalex.org/W2031243162","https://openalex.org/W2069909052","https://openalex.org/W2531409750","https://openalex.org/W2768275492","https://openalex.org/W2945989246","https://openalex.org/W3047276250","https://openalex.org/W4312612636"],"related_works":["https://openalex.org/W2039904248","https://openalex.org/W2107825199","https://openalex.org/W3167448336","https://openalex.org/W2369035542","https://openalex.org/W1964437537","https://openalex.org/W2181549195","https://openalex.org/W2269705005","https://openalex.org/W3208883981","https://openalex.org/W2111471640","https://openalex.org/W2134672608"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
