{"id":"https://openalex.org/W2930586974","doi":"https://doi.org/10.1109/access.2019.2915544","title":"Probabilistic Forecasting of Sensory Data With Generative Adversarial Networks \u2013 ForGAN","display_name":"Probabilistic Forecasting of Sensory Data With Generative Adversarial Networks \u2013 ForGAN","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2930586974","doi":"https://doi.org/10.1109/access.2019.2915544","mag":"2930586974"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2915544","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2915544","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08717640.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08717640.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027568373","display_name":"Alireza Koochali","orcid":"https://orcid.org/0000-0001-7370-9369"},"institutions":[{"id":"https://openalex.org/I137230718","display_name":"Ingenieurgesellschaft Auto und Verkehr (Germany)","ror":"https://ror.org/00j4h9q86","country_code":"DE","type":"company","lineage":["https://openalex.org/I137230718"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Alireza Koochali","raw_affiliation_strings":["Ingenieurgesellschaft Auto und Verkehr (IAV), Kaiserslautern, Germany"],"affiliations":[{"raw_affiliation_string":"Ingenieurgesellschaft Auto und Verkehr (IAV), Kaiserslautern, Germany","institution_ids":["https://openalex.org/I137230718"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034356107","display_name":"Peter Schichtel","orcid":"https://orcid.org/0000-0002-7634-4964"},"institutions":[{"id":"https://openalex.org/I137230718","display_name":"Ingenieurgesellschaft Auto und Verkehr (Germany)","ror":"https://ror.org/00j4h9q86","country_code":"DE","type":"company","lineage":["https://openalex.org/I137230718"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Peter Schichtel","raw_affiliation_strings":["Ingenieurgesellschaft Auto und Verkehr (IAV), Kaiserslautern, Germany"],"affiliations":[{"raw_affiliation_string":"Ingenieurgesellschaft Auto und Verkehr (IAV), Kaiserslautern, Germany","institution_ids":["https://openalex.org/I137230718"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101904182","display_name":"Andreas Dengel","orcid":"https://orcid.org/0000-0002-6100-8255"},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Dengel","raw_affiliation_strings":["Department of Computer Science, University of Kaiserslautern, Kaiserslautern, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Kaiserslautern, Kaiserslautern, Germany","institution_ids":["https://openalex.org/I153267046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058813180","display_name":"Sheraz Ahmed","orcid":"https://orcid.org/0000-0002-4239-6520"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sheraz Ahmed","raw_affiliation_strings":["German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany"],"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany","institution_ids":["https://openalex.org/I33256026"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5027568373"],"corresponding_institution_ids":["https://openalex.org/I137230718"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":7.8474,"has_fulltext":true,"cited_by_count":93,"citation_normalized_percentile":{"value":0.98052343,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"7","issue":null,"first_page":"63868","last_page":"63880"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9865999817848206,"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/probabilistic-forecasting","display_name":"Probabilistic forecasting","score":0.8032771944999695},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7984187602996826},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7382669448852539},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5804282426834106},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5615783333778381},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4805341362953186},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.4415775239467621},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4218709170818329},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.41965818405151367},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4152047038078308}],"concepts":[{"id":"https://openalex.org/C122282355","wikidata":"https://www.wikidata.org/wiki/Q7246855","display_name":"Probabilistic forecasting","level":3,"score":0.8032771944999695},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7984187602996826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7382669448852539},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5804282426834106},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5615783333778381},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4805341362953186},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.4415775239467621},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4218709170818329},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.41965818405151367},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4152047038078308}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2019.2915544","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2915544","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08717640.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1903.12549","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1903.12549","pdf_url":"https://arxiv.org/pdf/1903.12549","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:doaj.org/article:d35bcecdba6b44c18b08e3111ef2365b","is_oa":true,"landing_page_url":"https://doaj.org/article/d35bcecdba6b44c18b08e3111ef2365b","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 63868-63880 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2915544","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2915544","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08717640.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2930586974.pdf","grobid_xml":"https://content.openalex.org/works/W2930586974.grobid-xml"},"referenced_works_count":147,"referenced_works":["https://openalex.org/W95577512","https://openalex.org/W195465510","https://openalex.org/W582134693","https://openalex.org/W1494192115","https://openalex.org/W1516111018","https://openalex.org/W1517620183","https://openalex.org/W1523480373","https://openalex.org/W1545465591","https://openalex.org/W1546652107","https://openalex.org/W1591887881","https://openalex.org/W1659842140","https://openalex.org/W1866206747","https://openalex.org/W1934021597","https://openalex.org/W1965555277","https://openalex.org/W1966501651","https://openalex.org/W1969574035","https://openalex.org/W1971619052","https://openalex.org/W1971889265","https://openalex.org/W1982129843","https://openalex.org/W1986555491","https://openalex.org/W1988827820","https://openalex.org/W1989097268","https://openalex.org/W1995461802","https://openalex.org/W1996102080","https://openalex.org/W1999933124","https://openalex.org/W2009009684","https://openalex.org/W2010275421","https://openalex.org/W2013182691","https://openalex.org/W2016301458","https://openalex.org/W2020355555","https://openalex.org/W2022637272","https://openalex.org/W2029897006","https://openalex.org/W2035530476","https://openalex.org/W2042590947","https://openalex.org/W2055931342","https://openalex.org/W2071932886","https://openalex.org/W2074991691","https://openalex.org/W2079898917","https://openalex.org/W2080265874","https://openalex.org/W2081876825","https://openalex.org/W2086851361","https://openalex.org/W2094631910","https://openalex.org/W2095705004","https://openalex.org/W2096904991","https://openalex.org/W2106423389","https://openalex.org/W2115514302","https://openalex.org/W2120933360","https://openalex.org/W2123636872","https://openalex.org/W2125389028","https://openalex.org/W2148603752","https://openalex.org/W2148927104","https://openalex.org/W2151650659","https://openalex.org/W2154427588","https://openalex.org/W2156967175","https://openalex.org/W2158840489","https://openalex.org/W2165231911","https://openalex.org/W2168633861","https://openalex.org/W2170555811","https://openalex.org/W2173520492","https://openalex.org/W2331199375","https://openalex.org/W2412320034","https://openalex.org/W2434741482","https://openalex.org/W2501645184","https://openalex.org/W2529731305","https://openalex.org/W2559110679","https://openalex.org/W2560752178","https://openalex.org/W2581637843","https://openalex.org/W2622068151","https://openalex.org/W2622385665","https://openalex.org/W2739824434","https://openalex.org/W2746457594","https://openalex.org/W2769265955","https://openalex.org/W2786254735","https://openalex.org/W2788830260","https://openalex.org/W2793451412","https://openalex.org/W2798058877","https://openalex.org/W2810986024","https://openalex.org/W2887146413","https://openalex.org/W2891273344","https://openalex.org/W2891299419","https://openalex.org/W2895546528","https://openalex.org/W2902235347","https://openalex.org/W2902258787","https://openalex.org/W2902455138","https://openalex.org/W2906805076","https://openalex.org/W2912906518","https://openalex.org/W2950299304","https://openalex.org/W2950850308","https://openalex.org/W2951520714","https://openalex.org/W2958406076","https://openalex.org/W2963204961","https://openalex.org/W2963226019","https://openalex.org/W2963321191","https://openalex.org/W2963345431","https://openalex.org/W2963578515","https://openalex.org/W2963684088","https://openalex.org/W2963711523","https://openalex.org/W2964059111","https://openalex.org/W2964135678","https://openalex.org/W2964268978","https://openalex.org/W2964291773","https://openalex.org/W3098110552","https://openalex.org/W3100672003","https://openalex.org/W3101538383","https://openalex.org/W3102943483","https://openalex.org/W3121902344","https://openalex.org/W3123434354","https://openalex.org/W4213041519","https://openalex.org/W4230715394","https://openalex.org/W4237366597","https://openalex.org/W4237840503","https://openalex.org/W4238671069","https://openalex.org/W4241635694","https://openalex.org/W4241653265","https://openalex.org/W4289238039","https://openalex.org/W4294568686","https://openalex.org/W4294583247","https://openalex.org/W4297817572","https://openalex.org/W4320013936","https://openalex.org/W4394670483","https://openalex.org/W6607884611","https://openalex.org/W6617145748","https://openalex.org/W6639216784","https://openalex.org/W6640231202","https://openalex.org/W6674330103","https://openalex.org/W6678815747","https://openalex.org/W6682170151","https://openalex.org/W6684772490","https://openalex.org/W6685352114","https://openalex.org/W6715501732","https://openalex.org/W6718140377","https://openalex.org/W6727862155","https://openalex.org/W6728050389","https://openalex.org/W6730424109","https://openalex.org/W6738960736","https://openalex.org/W6738966219","https://openalex.org/W6744040980","https://openalex.org/W6749919305","https://openalex.org/W6754355446","https://openalex.org/W6755257315","https://openalex.org/W6755284594","https://openalex.org/W6755761836","https://openalex.org/W6756178783","https://openalex.org/W6756558694","https://openalex.org/W6758941167","https://openalex.org/W6779669310","https://openalex.org/W6995493315"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4395044357","https://openalex.org/W4287117424","https://openalex.org/W4387506531","https://openalex.org/W2087346071","https://openalex.org/W2967848559","https://openalex.org/W4299831724"],"abstract_inverted_index":{"Time":[0],"series":[1],"forecasting":[2,13,76,117,169],"is":[3],"one":[4,72],"of":[5,51,65,85,118,162],"the":[6,48,63,66,83,86,93,159],"challenging":[7],"problems":[8],"for":[9,139],"humankind.":[10],"The":[11],"traditional":[12],"methods":[14,29],"using":[15],"mean":[16],"regression":[17,112],"models":[18],"have":[19],"severe":[20],"shortcomings":[21],"in":[22,109,168],"reflecting":[23],"real-world":[24],"fluctuations.":[25],"While":[26],"new":[27,123],"probabilistic":[28,75,99,116],"rush":[30],"to":[31,61,91,106,111],"rescue,":[32],"they":[33],"fight":[34],"with":[35,77],"technical":[36],"difficulties":[37],"like":[38],"quantile":[39],"crossing":[40],"or":[41],"selecting":[42],"a":[43,122],"prior":[44],"distribution.":[45],"To":[46,114],"meld":[47],"different":[49],"strengths":[50],"these":[52],"fields":[53],"while":[54],"avoiding":[55],"their":[56],"weaknesses,":[57],"as":[58],"well":[59],"as,":[60],"push":[62],"boundary":[64],"state-of-the-art,":[67],"we":[68,120,142],"introduce":[69],"ForGAN":[70,81,108,144,163],"-":[71],"step":[73],"ahead":[74],"generative":[78,88],"adversarial":[79,89],"networks.":[80],"utilizes":[82],"power":[84],"conditional":[87],"network":[90],"learn":[92],"data":[94],"generating":[95],"distribution":[96],"and":[97,125,153],"compute":[98],"forecasts":[100],"from":[101],"it.":[102,131],"We":[103],"argue":[104],"how":[105],"evaluate":[107],"opposition":[110],"methods.":[113],"investigate":[115],"ForGAN,":[119],"create":[121],"dataset":[124,133,152,156],"demonstrate":[126,164],"our":[127],"method":[128],"abilities":[129],"on":[130,145],"This":[132],"will":[134],"be":[135],"made":[136],"publicly":[137,147],"available":[138,148],"comparison.":[140],"Furthermore,":[141],"test":[143],"two":[146],"datasets,":[149],"namely":[150],"Mackey-Glass":[151],"Internet":[154],"traffic":[155],"(A5M),":[157],"where":[158],"impressive":[160],"performance":[161],"its":[165],"high":[166],"capability":[167],"future":[170],"values.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}