{"id":"https://openalex.org/W4298110705","doi":"https://doi.org/10.1007/s10489-022-04187-8","title":"Cost-sensitive microbial data augmentation through matrix factorization","display_name":"Cost-sensitive microbial data augmentation through matrix factorization","publication_year":2022,"publication_date":"2022-09-30","ids":{"openalex":"https://openalex.org/W4298110705","doi":"https://doi.org/10.1007/s10489-022-04187-8"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-022-04187-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-022-04187-8","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-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/A5081507471","display_name":"Liu-Ying Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liu-Ying Wen","raw_affiliation_strings":["School of Computer Science, Southwest Petroleum University, Chengdu, 610500, China"],"raw_orcid":"https://orcid.org/0000-0001-9335-5158","affiliations":[{"raw_affiliation_string":"School of Computer Science, Southwest Petroleum University, Chengdu, 610500, China","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100442271","display_name":"Xi Wang","orcid":"https://orcid.org/0000-0002-7572-6354"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Wang","raw_affiliation_strings":["School of Computer Science, Southwest Petroleum University, Chengdu, 610500, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Southwest Petroleum University, Chengdu, 610500, China","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100740354","display_name":"Fan Min","orcid":"https://orcid.org/0000-0002-3290-1036"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Min","raw_affiliation_strings":["School of Computer Science, Southwest Petroleum University, Chengdu, 610500, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Southwest Petroleum University, Chengdu, 610500, China","institution_ids":["https://openalex.org/I165745306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081507471"],"corresponding_institution_ids":["https://openalex.org/I165745306"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.1736,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.48642864,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"53","issue":"10","first_page":"12684","last_page":"12700"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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"}},"topics":[{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9861000180244446,"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":0.757622480392456},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.6577979922294617},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6162763833999634},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6102250814437866},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5777556896209717},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5489537715911865},{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.4962835907936096},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4954456090927124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4878992736339569},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.48209384083747864},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40697938203811646},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18956691026687622},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.10811543464660645}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.757622480392456},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.6577979922294617},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6162763833999634},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6102250814437866},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5777556896209717},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5489537715911865},{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.4962835907936096},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4954456090927124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4878992736339569},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.48209384083747864},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40697938203811646},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18956691026687622},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.10811543464660645},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-022-04187-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-022-04187-8","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W2006465310","https://openalex.org/W2054141820","https://openalex.org/W2087240369","https://openalex.org/W2091007025","https://openalex.org/W2104933073","https://openalex.org/W2132791018","https://openalex.org/W2148143831","https://openalex.org/W2150046185","https://openalex.org/W2300921526","https://openalex.org/W2404441930","https://openalex.org/W2471991522","https://openalex.org/W2544509438","https://openalex.org/W2562319768","https://openalex.org/W2600610494","https://openalex.org/W2606464395","https://openalex.org/W2613462820","https://openalex.org/W2766296277","https://openalex.org/W2788570750","https://openalex.org/W2794970694","https://openalex.org/W2891426287","https://openalex.org/W2896480277","https://openalex.org/W2903362744","https://openalex.org/W2905236149","https://openalex.org/W2911964244","https://openalex.org/W2921789835","https://openalex.org/W2932067728","https://openalex.org/W2935505403","https://openalex.org/W2948219206","https://openalex.org/W2963351448","https://openalex.org/W2963596856","https://openalex.org/W2964050365","https://openalex.org/W3001069493","https://openalex.org/W3031232306","https://openalex.org/W3047251759","https://openalex.org/W4200122681","https://openalex.org/W4243367342"],"related_works":["https://openalex.org/W2766503024","https://openalex.org/W4206637278","https://openalex.org/W2781247653","https://openalex.org/W4386005305","https://openalex.org/W127528661","https://openalex.org/W123443654","https://openalex.org/W3055496383","https://openalex.org/W2903718012","https://openalex.org/W3139059142","https://openalex.org/W3092529864"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
