{"id":"https://openalex.org/W3199132933","doi":"https://doi.org/10.1007/s00521-021-06483-9","title":"A Bayesian sampling framework for asymmetric generalized Gaussian mixture models learning","display_name":"A Bayesian sampling framework for asymmetric generalized Gaussian mixture models learning","publication_year":2021,"publication_date":"2021-09-10","ids":{"openalex":"https://openalex.org/W3199132933","doi":"https://doi.org/10.1007/s00521-021-06483-9","mag":"3199132933"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-021-06483-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-021-06483-9","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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":"Neural Computing and Applications","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/A5030921132","display_name":"Ravi Teja Vemuri","orcid":null},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ravi Teja Vemuri","raw_affiliation_strings":["Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101773294","display_name":"Muhammad Azam","orcid":"https://orcid.org/0000-0003-1904-7338"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Muhammad Azam","raw_affiliation_strings":["Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090600716","display_name":"Nizar Bouguila","orcid":"https://orcid.org/0000-0001-7224-7940"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nizar Bouguila","raw_affiliation_strings":["Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022678420","display_name":"Zachary Patterson","orcid":"https://orcid.org/0000-0001-8878-7845"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Zachary Patterson","raw_affiliation_strings":["Department of Geography, Planning and Environment, Concordia University, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Geography, Planning and Environment, Concordia University, Montreal, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101773294"],"corresponding_institution_ids":["https://openalex.org/I60158472"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.5592,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.73525992,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"34","issue":"17","first_page":"14123","last_page":"14134"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9991999864578247,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9991999864578247,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9697999954223633,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9695000052452087,"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/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.7534613609313965},{"id":"https://openalex.org/keywords/gibbs-sampling","display_name":"Gibbs sampling","score":0.7172062993049622},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.605513870716095},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.599733293056488},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5400863289833069},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.5328346490859985},{"id":"https://openalex.org/keywords/variable-order-bayesian-network","display_name":"Variable-order Bayesian network","score":0.5230734944343567},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4611729383468628},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4512752592563629},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.44302546977996826},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4330301284790039},{"id":"https://openalex.org/keywords/importance-sampling","display_name":"Importance sampling","score":0.4234161376953125},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4121001064777374},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.41001346707344055},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.37235474586486816},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34871163964271545},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33374279737472534},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.25604715943336487}],"concepts":[{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.7534613609313965},{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.7172062993049622},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.605513870716095},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.599733293056488},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5400863289833069},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.5328346490859985},{"id":"https://openalex.org/C71983512","wikidata":"https://www.wikidata.org/wiki/Q7915687","display_name":"Variable-order Bayesian network","level":4,"score":0.5230734944343567},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4611729383468628},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4512752592563629},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.44302546977996826},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4330301284790039},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.4234161376953125},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4121001064777374},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.41001346707344055},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.37235474586486816},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34871163964271545},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33374279737472534},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25604715943336487},{"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00521-021-06483-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-021-06483-9","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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":"Neural Computing and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W66185676","https://openalex.org/W112116702","https://openalex.org/W118824240","https://openalex.org/W1480487340","https://openalex.org/W1507901999","https://openalex.org/W1546503963","https://openalex.org/W1579271636","https://openalex.org/W1969733464","https://openalex.org/W1976543534","https://openalex.org/W1980038761","https://openalex.org/W1980867644","https://openalex.org/W1981706894","https://openalex.org/W1991848923","https://openalex.org/W2002002766","https://openalex.org/W2005750530","https://openalex.org/W2017236761","https://openalex.org/W2020999234","https://openalex.org/W2034328688","https://openalex.org/W2045925085","https://openalex.org/W2051071899","https://openalex.org/W2052085418","https://openalex.org/W2058367787","https://openalex.org/W2060556149","https://openalex.org/W2086391483","https://openalex.org/W2108207895","https://openalex.org/W2117853077","https://openalex.org/W2119018277","https://openalex.org/W2135194391","https://openalex.org/W2135346934","https://openalex.org/W2138309709","https://openalex.org/W2154740476","https://openalex.org/W2156273867","https://openalex.org/W2268212270","https://openalex.org/W2279341026","https://openalex.org/W2488678869","https://openalex.org/W2602159283","https://openalex.org/W2799742832","https://openalex.org/W2888728157","https://openalex.org/W2889359843","https://openalex.org/W2903574267","https://openalex.org/W2909724110","https://openalex.org/W2962818688","https://openalex.org/W2963335963","https://openalex.org/W2963471079","https://openalex.org/W3038620866","https://openalex.org/W3042615550","https://openalex.org/W3099193570","https://openalex.org/W3149365120","https://openalex.org/W3149802657","https://openalex.org/W4205431832","https://openalex.org/W4231665431","https://openalex.org/W4232188727","https://openalex.org/W4239048948","https://openalex.org/W4249279051","https://openalex.org/W4250042253","https://openalex.org/W4253779515"],"related_works":["https://openalex.org/W3125971950","https://openalex.org/W1580681286","https://openalex.org/W2175355783","https://openalex.org/W2622204791","https://openalex.org/W1579866848","https://openalex.org/W2066716418","https://openalex.org/W2905524938","https://openalex.org/W1546022168","https://openalex.org/W3198356641","https://openalex.org/W2071668645"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
