{"id":"https://openalex.org/W2919134030","doi":"https://doi.org/10.1007/978-3-030-13469-3_2","title":"An Automatic Approximate Bayesian Computation Approach Using Metric Learning","display_name":"An Automatic Approximate Bayesian Computation Approach Using Metric Learning","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2919134030","doi":"https://doi.org/10.1007/978-3-030-13469-3_2","mag":"2919134030"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-13469-3_2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-13469-3_2","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/A5074720983","display_name":"Wilson Gonz\u00e1lez-Vanegas","orcid":"https://orcid.org/0000-0003-0969-9287"},"institutions":[{"id":"https://openalex.org/I200183955","display_name":"Technological University of Pereira","ror":"https://ror.org/01d981710","country_code":"CO","type":"education","lineage":["https://openalex.org/I200183955"]}],"countries":["CO"],"is_corresponding":true,"raw_author_name":"W. Gonz\u00e1lez-Vanegas","raw_affiliation_strings":["Faculty of Engineerings, Automatic Research Group, Universidad Tecnol\u00f3gica de Pereira, Pereira, Colombia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineerings, Automatic Research Group, Universidad Tecnol\u00f3gica de Pereira, Pereira, Colombia","institution_ids":["https://openalex.org/I200183955"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051246446","display_name":"Andr\u00e9s Marino \u00c1lvarez-Meza","orcid":"https://orcid.org/0000-0003-0308-9576"},"institutions":[{"id":"https://openalex.org/I200183955","display_name":"Technological University of Pereira","ror":"https://ror.org/01d981710","country_code":"CO","type":"education","lineage":["https://openalex.org/I200183955"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"A. \u00c1lvarez-Meza","raw_affiliation_strings":["Faculty of Engineerings, Automatic Research Group, Universidad Tecnol\u00f3gica de Pereira, Pereira, Colombia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineerings, Automatic Research Group, Universidad Tecnol\u00f3gica de Pereira, Pereira, Colombia","institution_ids":["https://openalex.org/I200183955"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012268339","display_name":"\u00c1lvaro A. Orozco","orcid":"https://orcid.org/0000-0002-1167-1446"},"institutions":[{"id":"https://openalex.org/I200183955","display_name":"Technological University of Pereira","ror":"https://ror.org/01d981710","country_code":"CO","type":"education","lineage":["https://openalex.org/I200183955"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"A. Orozco-Guti\u00e9rrez","raw_affiliation_strings":["Faculty of Engineerings, Automatic Research Group, Universidad Tecnol\u00f3gica de Pereira, Pereira, Colombia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineerings, Automatic Research Group, Universidad Tecnol\u00f3gica de Pereira, Pereira, Colombia","institution_ids":["https://openalex.org/I200183955"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5074720983"],"corresponding_institution_ids":["https://openalex.org/I200183955"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.6284,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62842893,"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":"12","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9945999979972839,"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/T10683","display_name":"Mass Spectrometry Techniques and Applications","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/approximate-bayesian-computation","display_name":"Approximate Bayesian computation","score":0.9071263670921326},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.797631025314331},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5626804232597351},{"id":"https://openalex.org/keywords/likelihood-function","display_name":"Likelihood function","score":0.5141380429267883},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.506461501121521},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5015397071838379},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.49598178267478943},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4904899299144745},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.48512372374534607},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47362157702445984},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4680722951889038},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.42200979590415955},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.41191989183425903},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3730629086494446},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29624512791633606},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12289077043533325},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.11469811201095581}],"concepts":[{"id":"https://openalex.org/C2779377595","wikidata":"https://www.wikidata.org/wiki/Q21045424","display_name":"Approximate Bayesian computation","level":3,"score":0.9071263670921326},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.797631025314331},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5626804232597351},{"id":"https://openalex.org/C89106044","wikidata":"https://www.wikidata.org/wiki/Q45284","display_name":"Likelihood function","level":3,"score":0.5141380429267883},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.506461501121521},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5015397071838379},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.49598178267478943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4904899299144745},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.48512372374534607},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47362157702445984},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4680722951889038},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.42200979590415955},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.41191989183425903},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3730629086494446},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29624512791633606},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12289077043533325},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.11469811201095581},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-13469-3_2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-13469-3_2","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":14,"referenced_works":["https://openalex.org/W1546037769","https://openalex.org/W1594863551","https://openalex.org/W1882169997","https://openalex.org/W1920328734","https://openalex.org/W1971722701","https://openalex.org/W2068695566","https://openalex.org/W2092124742","https://openalex.org/W2119381787","https://openalex.org/W2278642510","https://openalex.org/W2763248804","https://openalex.org/W2788258866","https://openalex.org/W2951949147","https://openalex.org/W2964343051","https://openalex.org/W6604264706"],"related_works":["https://openalex.org/W2032616735","https://openalex.org/W2733224243","https://openalex.org/W3020078843","https://openalex.org/W3010690761","https://openalex.org/W68766333","https://openalex.org/W2124138033","https://openalex.org/W4299931562","https://openalex.org/W3012988968","https://openalex.org/W4287824571","https://openalex.org/W1546925913"],"abstract_inverted_index":null,"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}