{"id":"https://openalex.org/W3036944649","doi":"https://doi.org/10.1109/saci49304.2020.9118836","title":"Modeling of mixed data for Poisson prediction","display_name":"Modeling of mixed data for Poisson prediction","publication_year":2020,"publication_date":"2020-05-01","ids":{"openalex":"https://openalex.org/W3036944649","doi":"https://doi.org/10.1109/saci49304.2020.9118836","mag":"3036944649"},"language":"en","primary_location":{"id":"doi:10.1109/saci49304.2020.9118836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/saci49304.2020.9118836","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 14th International Symposium on Applied Computational Intelligence and Informatics (SACI)","raw_type":"proceedings-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/A5051079396","display_name":"Matej Petrou\u0161","orcid":null},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Matej Petrous","raw_affiliation_strings":["Faculty of Transportation Sciences, Czech Technical University, Prague"],"affiliations":[{"raw_affiliation_string":"Faculty of Transportation Sciences, Czech Technical University, Prague","institution_ids":["https://openalex.org/I44504214"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008406294","display_name":"Ev\u017eenie Uglickich","orcid":"https://orcid.org/0000-0003-1764-5924"},"institutions":[{"id":"https://openalex.org/I4210119419","display_name":"Czech Academy of Sciences, Institute of Information Theory and Automation","ror":"https://ror.org/03h1hsz49","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I202391551","https://openalex.org/I4210119419"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Evzenie Uglickich","raw_affiliation_strings":["Department of Signal Processing, Institute of Information Theory and Automation, Prague, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Department of Signal Processing, Institute of Information Theory and Automation, Prague, Czech Republic","institution_ids":["https://openalex.org/I4210119419"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5051079396"],"corresponding_institution_ids":["https://openalex.org/I44504214"],"apc_list":null,"apc_paid":null,"fwci":0.3977,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68027159,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"000077","last_page":"000082"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.98580002784729,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.98580002784729,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9796000123023987,"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":0.6443628072738647},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.47228366136550903},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.46703216433525085},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.26427161693573},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18482336401939392},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.12058869004249573}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6443628072738647},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.47228366136550903},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.46703216433525085},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.26427161693573},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18482336401939392},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12058869004249573}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/saci49304.2020.9118836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/saci49304.2020.9118836","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 14th International Symposium on Applied Computational Intelligence and Informatics (SACI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W158520387","https://openalex.org/W605692607","https://openalex.org/W637775391","https://openalex.org/W1257151683","https://openalex.org/W1581344423","https://openalex.org/W1982945285","https://openalex.org/W2018302799","https://openalex.org/W2039723583","https://openalex.org/W2059787748","https://openalex.org/W2075657928","https://openalex.org/W2164077590","https://openalex.org/W2181733643","https://openalex.org/W2295773027","https://openalex.org/W2399991609","https://openalex.org/W2488983277","https://openalex.org/W2493932113","https://openalex.org/W2516654762","https://openalex.org/W2524681876","https://openalex.org/W2531854518","https://openalex.org/W2564856973","https://openalex.org/W2576742013","https://openalex.org/W2746691464","https://openalex.org/W2750425604","https://openalex.org/W2766894548","https://openalex.org/W2771057782","https://openalex.org/W2789659576","https://openalex.org/W2791614259","https://openalex.org/W2806863919","https://openalex.org/W2968064268","https://openalex.org/W2997864133","https://openalex.org/W3099285884","https://openalex.org/W4252675828","https://openalex.org/W6731432198"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"The":[0,20,32],"paper":[1],"deals":[2],"with":[3,74],"the":[4,36,40,43,50,59,66,69],"task":[5],"of":[6,28,35,42,46,52,68],"modeling":[7],"mixed":[8],"continuous":[9],"Gaussian":[10],"and":[11,64,76],"discrete":[12],"Poisson":[13,71],"data":[14,78],"observed":[15],"on":[16,25],"a":[17],"multimodal":[18,70],"system.":[19],"proposed":[21],"solution":[22],"is":[23],"based":[24],"recursive":[26,61],"algorithms":[27],"Bayesian":[29],"mixture":[30],"estimation.":[31],"main":[33],"contributions":[34],"approach":[37],"are:":[38],"(i)":[39],"use":[41],"discretized":[44],"information":[45],"normal":[47],"variables":[48],"in":[49,55],"form":[51],"their":[53],"clusters":[54],"order":[56],"to":[57],"keep":[58],"one-pass":[60],"estimation":[62],"methodology":[63],"(ii)":[65],"prediction":[67],"variable.":[72],"Experiments":[73],"simulated":[75],"real":[77],"are":[79],"presented.":[80]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}