{"id":"https://openalex.org/W2498487280","doi":"https://doi.org/10.1007/978-3-319-41009-8_8","title":"An Empirical Evaluation of Machine Learning Algorithms for Image Classification","display_name":"An Empirical Evaluation of Machine Learning Algorithms for Image Classification","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2498487280","doi":"https://doi.org/10.1007/978-3-319-41009-8_8","mag":"2498487280"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-41009-8_8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-41009-8_8","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"Lecture Notes in Computer 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/A5063736065","display_name":"Thembinkosi Nkonyana","orcid":null},"institutions":[{"id":"https://openalex.org/I24027795","display_name":"University of Johannesburg","ror":"https://ror.org/04z6c2n17","country_code":"ZA","type":"education","lineage":["https://openalex.org/I24027795"]}],"countries":["ZA"],"is_corresponding":true,"raw_author_name":"Thembinkosi Nkonyana","raw_affiliation_strings":["Department of Electrical and Electronics Engineering Science, University of Johannesburg, P.O. Box 524, Auckland Park, Johannesburg, 2006, South Africa"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering Science, University of Johannesburg, P.O. Box 524, Auckland Park, Johannesburg, 2006, South Africa","institution_ids":["https://openalex.org/I24027795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073968263","display_name":"Bhekisipho Twala","orcid":"https://orcid.org/0000-0002-3452-9581"},"institutions":[{"id":"https://openalex.org/I24027795","display_name":"University of Johannesburg","ror":"https://ror.org/04z6c2n17","country_code":"ZA","type":"education","lineage":["https://openalex.org/I24027795"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Bhekisipho Twala","raw_affiliation_strings":["Department of Electrical and Electronics Engineering Science, University of Johannesburg, P.O. Box 524, Auckland Park, Johannesburg, 2006, South Africa"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering Science, University of Johannesburg, P.O. Box 524, Auckland Park, Johannesburg, 2006, South Africa","institution_ids":["https://openalex.org/I24027795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063736065"],"corresponding_institution_ids":["https://openalex.org/I24027795"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.7061,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67455197,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"79","last_page":"88"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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":0.9997000098228455,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.993399977684021,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9896000027656555,"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/computer-science","display_name":"Computer science","score":0.7853288054466248},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6648538112640381},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6200836896896362},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5914690494537354},{"id":"https://openalex.org/keywords/bayes-error-rate","display_name":"Bayes error rate","score":0.5645461082458496},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5615362524986267},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.5518345832824707},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5369079113006592},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5114116072654724},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5061327815055847},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.45655056834220886},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4524364471435547},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3827644884586334},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3760839104652405},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3687095642089844},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.20286881923675537},{"id":"https://openalex.org/keywords/bayes-classifier","display_name":"Bayes classifier","score":0.1272900402545929},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12089225649833679},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11808371543884277}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7853288054466248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6648538112640381},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6200836896896362},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5914690494537354},{"id":"https://openalex.org/C143809311","wikidata":"https://www.wikidata.org/wiki/Q4874458","display_name":"Bayes error rate","level":5,"score":0.5645461082458496},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5615362524986267},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5518345832824707},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5369079113006592},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5114116072654724},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5061327815055847},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.45655056834220886},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4524364471435547},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3827644884586334},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3760839104652405},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3687095642089844},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.20286881923675537},{"id":"https://openalex.org/C185207860","wikidata":"https://www.wikidata.org/wiki/Q17004744","display_name":"Bayes classifier","level":4,"score":0.1272900402545929},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12089225649833679},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11808371543884277}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-41009-8_8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-41009-8_8","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W38208812","https://openalex.org/W116344722","https://openalex.org/W166599602","https://openalex.org/W1967320999","https://openalex.org/W1982753270","https://openalex.org/W1984792953","https://openalex.org/W1991856651","https://openalex.org/W2029692013","https://openalex.org/W2032170990","https://openalex.org/W2050940063","https://openalex.org/W2057197127","https://openalex.org/W2059063187","https://openalex.org/W2074112114","https://openalex.org/W2098758111","https://openalex.org/W2101051003","https://openalex.org/W2111238879","https://openalex.org/W2133990480","https://openalex.org/W2146831490","https://openalex.org/W2150426748","https://openalex.org/W2162480849","https://openalex.org/W2175881508","https://openalex.org/W2187809481","https://openalex.org/W2508087514","https://openalex.org/W4214564766"],"related_works":["https://openalex.org/W2374047926","https://openalex.org/W179179905","https://openalex.org/W2394466068","https://openalex.org/W2360982908","https://openalex.org/W2086147528","https://openalex.org/W2393473353","https://openalex.org/W145653800","https://openalex.org/W4312309445","https://openalex.org/W2104404136","https://openalex.org/W1577823635"],"abstract_inverted_index":null,"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
