{"id":"https://openalex.org/W2734737025","doi":"https://doi.org/10.1109/ijcnn.2017.7966322","title":"Marker selection for the detection of trisomy 21 using generalized matrix learning vector quantization","display_name":"Marker selection for the detection of trisomy 21 using generalized matrix learning vector quantization","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2734737025","doi":"https://doi.org/10.1109/ijcnn.2017.7966322","mag":"2734737025"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2017.7966322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966322","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.rug.nl/en/publications/a3d302b6-27e3-4318-8b29-f54d337afad3","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066723163","display_name":"Andreas Neocleous","orcid":"https://orcid.org/0000-0002-0730-2314"},"institutions":[{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]},{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY","NL"],"is_corresponding":true,"raw_author_name":"Andreas C. Neocleous","raw_affiliation_strings":["Department of Computer Science, University of Cyprus, Cyprus","Johann Bernoulli Institute for Mathematics and Computer Science, University of Groningen, Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Cyprus, Cyprus","institution_ids":["https://openalex.org/I34771391"]},{"raw_affiliation_string":"Johann Bernoulli Institute for Mathematics and Computer Science, University of Groningen, Netherlands","institution_ids":["https://openalex.org/I169381384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110268947","display_name":"Costas Neocleous","orcid":null},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":false,"raw_author_name":"Costas Neocleous","raw_affiliation_strings":["University of Cyprus, Cyprus"],"affiliations":[{"raw_affiliation_string":"University of Cyprus, Cyprus","institution_ids":["https://openalex.org/I34771391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000914515","display_name":"Christos N. Schizas","orcid":"https://orcid.org/0000-0001-6548-4980"},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":false,"raw_author_name":"Christos N. Schizas","raw_affiliation_strings":["Department of Computer Science, University of Cyprus, Cyprus"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Cyprus, Cyprus","institution_ids":["https://openalex.org/I34771391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083548477","display_name":"Michael Biehl","orcid":"https://orcid.org/0000-0001-5148-4568"},"institutions":[{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Michael Biehl","raw_affiliation_strings":["Johann Bernoulli Institute for Mathematics and Computer Science, University of Groningen, Netherlands"],"affiliations":[{"raw_affiliation_string":"Johann Bernoulli Institute for Mathematics and Computer Science, University of Groningen, Netherlands","institution_ids":["https://openalex.org/I169381384"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065962800","display_name":"Nicolai Petkov","orcid":"https://orcid.org/0000-0003-2163-8647"},"institutions":[{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Nicolai Petkov","raw_affiliation_strings":["Johann Bernoulli Institute for Mathematics and Computer Science, University of Groningen, Netherlands"],"affiliations":[{"raw_affiliation_string":"Johann Bernoulli Institute for Mathematics and Computer Science, University of Groningen, Netherlands","institution_ids":["https://openalex.org/I169381384"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5066723163"],"corresponding_institution_ids":["https://openalex.org/I169381384","https://openalex.org/I34771391"],"apc_list":null,"apc_paid":null,"fwci":0.7977,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78727551,"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":"3704","last_page":"3708"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10978","display_name":"Prenatal Screening and Diagnostics","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10978","display_name":"Prenatal Screening and Diagnostics","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11213","display_name":"Genomic variations and chromosomal abnormalities","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.9821000099182129,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"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":0.5321062803268433},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5184378623962402},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.488457590341568},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4671202301979065},{"id":"https://openalex.org/keywords/learning-vector-quantization","display_name":"Learning vector quantization","score":0.4577144682407379},{"id":"https://openalex.org/keywords/trisomy","display_name":"Trisomy","score":0.4504585266113281},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4442254602909088},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.202345609664917},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.1990816295146942}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5321062803268433},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5184378623962402},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.488457590341568},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4671202301979065},{"id":"https://openalex.org/C40567965","wikidata":"https://www.wikidata.org/wiki/Q1820283","display_name":"Learning vector quantization","level":3,"score":0.4577144682407379},{"id":"https://openalex.org/C2776229224","wikidata":"https://www.wikidata.org/wiki/Q844903","display_name":"Trisomy","level":2,"score":0.4504585266113281},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4442254602909088},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.202345609664917},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.1990816295146942},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2017.7966322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966322","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.rug.nl:openaire/a3d302b6-27e3-4318-8b29-f54d337afad3","is_oa":true,"landing_page_url":"https://research.rug.nl/en/publications/a3d302b6-27e3-4318-8b29-f54d337afad3","pdf_url":null,"source":{"id":"https://openalex.org/S4306400420","display_name":"University of Groningen research database (University of Groningen / Centre for Information Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I169381384","host_organization_name":"University of Groningen","host_organization_lineage":["https://openalex.org/I169381384"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neocleous, A, Neocleous, C K, Schizas, C N, Biehl, M & Petkov, N 2017, Marker selection for the detection of trisomy 21 using generalized matrix learning vector quantization. in Neural Networks (IJCNN), 2017 International Joint Conference on. IEEEXplore, pp. 3704-3708, Special Session at the International Joint Conference on Neural Networks: Explainability and Interpretability in Machine Learning, Anchorage , United States, 17/05/2017. https://doi.org/10.1109/IJCNN.2017.7966322","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:pure.rug.nl:openaire/a3d302b6-27e3-4318-8b29-f54d337afad3","is_oa":true,"landing_page_url":"https://research.rug.nl/en/publications/a3d302b6-27e3-4318-8b29-f54d337afad3","pdf_url":null,"source":{"id":"https://openalex.org/S4306400420","display_name":"University of Groningen research database (University of Groningen / Centre for Information Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I169381384","host_organization_name":"University of Groningen","host_organization_lineage":["https://openalex.org/I169381384"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neocleous, A, Neocleous, C K, Schizas, C N, Biehl, M & Petkov, N 2017, Marker selection for the detection of trisomy 21 using generalized matrix learning vector quantization. in Neural Networks (IJCNN), 2017 International Joint Conference on. IEEEXplore, pp. 3704-3708, Special Session at the International Joint Conference on Neural Networks: Explainability and Interpretability in Machine Learning, Anchorage , United States, 17/05/2017. https://doi.org/10.1109/IJCNN.2017.7966322","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321724","display_name":"Fetal Medicine Foundation","ror":"https://ror.org/0261b7b91"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W25311418","https://openalex.org/W354079679","https://openalex.org/W1583962399","https://openalex.org/W2039434802","https://openalex.org/W2041709363","https://openalex.org/W2042292710","https://openalex.org/W2048071570","https://openalex.org/W2049706382","https://openalex.org/W2050461534","https://openalex.org/W2059254639","https://openalex.org/W2075791178","https://openalex.org/W2082988863","https://openalex.org/W2097523997","https://openalex.org/W2104910044","https://openalex.org/W2131037108","https://openalex.org/W2134164600","https://openalex.org/W2142091369","https://openalex.org/W2158513489","https://openalex.org/W2160730845","https://openalex.org/W2415201610","https://openalex.org/W2567207191","https://openalex.org/W2604539379","https://openalex.org/W2625967715","https://openalex.org/W6601025434","https://openalex.org/W6716334879","https://openalex.org/W6731586768"],"related_works":["https://openalex.org/W4243803532","https://openalex.org/W1530525041","https://openalex.org/W4244998381","https://openalex.org/W2352648934","https://openalex.org/W4230688072","https://openalex.org/W1915693853","https://openalex.org/W2378212145","https://openalex.org/W2798892016","https://openalex.org/W2100492357","https://openalex.org/W2202992072"],"abstract_inverted_index":{"In":[0],"this":[1],"work":[2,128],"we":[3,77,94,101],"explore":[4],"the":[5,13,28,36,44,54,88,108,115,133],"relevance":[6],"of":[7,16,30,38,61,84,118],"markers":[8,32,57,92,100],"that":[9,96,104,110,129],"are":[10,105,123],"used":[11,31],"for":[12],"early":[14],"detection":[15],"fetal":[17],"chromosomal":[18],"abnormalities.":[19],"For":[20],"medical":[21],"applications,":[22],"it":[23],"is":[24,130],"important":[25],"to":[26,35,52],"optimize":[27],"number":[29,37],"with":[33,97,107,114,126],"respect":[34],"necessary":[39],"clinical":[40,63],"examinations.":[41,64],"We":[42,65,86],"use":[43],"Generalized":[45],"Matrix":[46],"Learning":[47],"Vector":[48],"Quantization":[49],"(GMLVQ)":[50],"method":[51],"identify":[53],"most":[55,90],"relevant":[56,91],"from":[58],"a":[59],"set":[60,117],"18":[62,119],"cross-validated":[66],"our":[67,79],"results":[68,103,109,122],"using":[69,81],"ten":[70],"different":[71,82],"training":[72],"and":[73,76,93],"test":[74],"sets":[75],"repeated":[78],"experiments":[80],"parameters":[83],"GMLVQ.":[85],"identified":[87],"seven":[89,99],"found":[95,131],"these":[98],"obtain":[102],"comparable":[106],"can":[111],"be":[112],"achieved":[113],"full":[116],"markers.":[120],"The":[121],"in":[124,132],"line":[125],"previous":[127],"literature.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"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"}
