{"id":"https://openalex.org/W2295914713","doi":"https://doi.org/10.1007/978-3-319-27926-8_13","title":"An Efficient Many-Core Implementation for Semi-Supervised Support Vector Machines","display_name":"An Efficient Many-Core Implementation for Semi-Supervised Support Vector Machines","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2295914713","doi":"https://doi.org/10.1007/978-3-319-27926-8_13","mag":"2295914713"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-27926-8_13","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-27926-8_13","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":"conference-paper","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/A5023532714","display_name":"Fabian Gieseke","orcid":"https://orcid.org/0000-0001-7093-5803"},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Fabian Gieseke","raw_affiliation_strings":["Institute for Computing and Information Sciences, Radboud University Nijmegen, Toernooiveld 212, 6525 EC, Nijmegen, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Computing and Information Sciences, Radboud University Nijmegen, Toernooiveld 212, 6525 EC, Nijmegen, The Netherlands","institution_ids":["https://openalex.org/I145872427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5023532714"],"corresponding_institution_ids":["https://openalex.org/I145872427"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.2057,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50080267,"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":"145","last_page":"157"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9976999759674072,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9976999759674072,"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":0.9973000288009644,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9958000183105469,"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/computer-science","display_name":"Computer science","score":0.8570611476898193},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7445709109306335},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5646419525146484},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.5343821048736572},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5251069664955139},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5240899920463562},{"id":"https://openalex.org/keywords/massively-parallel","display_name":"Massively parallel","score":0.5022215843200684},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4788348972797394},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4742790162563324},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.4574609696865082},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.41579926013946533},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.364946186542511},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.2527843117713928},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.16972291469573975}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8570611476898193},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7445709109306335},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5646419525146484},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.5343821048736572},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5251069664955139},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5240899920463562},{"id":"https://openalex.org/C190475519","wikidata":"https://www.wikidata.org/wiki/Q544384","display_name":"Massively parallel","level":2,"score":0.5022215843200684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4788348972797394},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4742790162563324},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.4574609696865082},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.41579926013946533},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.364946186542511},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.2527843117713928},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.16972291469573975},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-319-27926-8_13","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-27926-8_13","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"},{"id":"pmh:oai:repository.ubn.ru.nl:2066/151130","is_oa":false,"landing_page_url":"http://hdl.handle.net/2066/151130","pdf_url":null,"source":{"id":"https://openalex.org/S4306401067","display_name":"Radboud Repository (Radboud University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I145872427","host_organization_name":"Radboud University Nijmegen","host_organization_lineage":["https://openalex.org/I145872427"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Pardalos, P.; Pavone, M. (ed.), Machine Learning, Optimization, and Big Data, pp. 145-157","raw_type":"Part of book or chapter of book"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W92894758","https://openalex.org/W158976495","https://openalex.org/W629538245","https://openalex.org/W645173616","https://openalex.org/W1524688041","https://openalex.org/W1540155273","https://openalex.org/W1560724230","https://openalex.org/W1698155719","https://openalex.org/W1985462363","https://openalex.org/W1990334093","https://openalex.org/W2008056655","https://openalex.org/W2037495825","https://openalex.org/W2049488676","https://openalex.org/W2057407817","https://openalex.org/W2087347434","https://openalex.org/W2107008379","https://openalex.org/W2107968230","https://openalex.org/W2109501666","https://openalex.org/W2109982174","https://openalex.org/W2111034147","https://openalex.org/W2112338564","https://openalex.org/W2117708047","https://openalex.org/W2122565017","https://openalex.org/W2128097790","https://openalex.org/W2159350554","https://openalex.org/W2162390675","https://openalex.org/W2501948295","https://openalex.org/W2607928667","https://openalex.org/W3141455185","https://openalex.org/W3195149063","https://openalex.org/W4285719527","https://openalex.org/W4293775970","https://openalex.org/W6628746421"],"related_works":["https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2910064364","https://openalex.org/W4255224757","https://openalex.org/W2499527417","https://openalex.org/W2218513093","https://openalex.org/W4200136508"],"abstract_inverted_index":null,"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2016-06-24T00:00:00"}
