{"id":"https://openalex.org/W3215544058","doi":"https://doi.org/10.3390/s21238009","title":"Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting","display_name":"Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting","publication_year":2021,"publication_date":"2021-11-30","ids":{"openalex":"https://openalex.org/W3215544058","doi":"https://doi.org/10.3390/s21238009","mag":"3215544058","pmid":"https://pubmed.ncbi.nlm.nih.gov/34884011"},"language":"en","primary_location":{"id":"doi:10.3390/s21238009","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21238009","pdf_url":"https://www.mdpi.com/1424-8220/21/23/8009/pdf?version=1638946867","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/23/8009/pdf?version=1638946867","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040264478","display_name":"Abdulmajid Murad","orcid":"https://orcid.org/0000-0003-0774-0741"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Abdulmajid Murad","raw_affiliation_strings":["Department of Information Security and Communication Technology, Norwegian University of Science and Technology, 7491 Trondheim, Norway"],"raw_orcid":"https://orcid.org/0000-0003-0774-0741","affiliations":[{"raw_affiliation_string":"Department of Information Security and Communication Technology, Norwegian University of Science and Technology, 7491 Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071988834","display_name":"Frank Alexander Kraemer","orcid":"https://orcid.org/0000-0002-8657-5379"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Frank Alexander Kraemer","raw_affiliation_strings":["Department of Information Security and Communication Technology, Norwegian University of Science and Technology, 7491 Trondheim, Norway"],"raw_orcid":"https://orcid.org/0000-0002-8657-5379","affiliations":[{"raw_affiliation_string":"Department of Information Security and Communication Technology, Norwegian University of Science and Technology, 7491 Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kerstin Bach","orcid":"https://orcid.org/0000-0002-6167-3079"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Kerstin Bach","raw_affiliation_strings":["Department of Computer Science, Norwegian University of Science and Technology, 7491 Trondheim, Norway"],"raw_orcid":"https://orcid.org/0000-0002-6167-3079","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Norwegian University of Science and Technology, 7491 Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043788981","display_name":"Gavin Taylor","orcid":"https://orcid.org/0000-0002-3455-9430"},"institutions":[{"id":"https://openalex.org/I189158971","display_name":"United States Naval Academy","ror":"https://ror.org/00znex860","country_code":"US","type":"education","lineage":["https://openalex.org/I1330347796","https://openalex.org/I189158971","https://openalex.org/I3130687028"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gavin Taylor","raw_affiliation_strings":["Department of Computer Science, United States Naval Academy, Annapolis, MD 21402, USA"],"raw_orcid":"https://orcid.org/0000-0002-3455-9430","affiliations":[{"raw_affiliation_string":"Department of Computer Science, United States Naval Academy, Annapolis, MD 21402, USA","institution_ids":["https://openalex.org/I189158971"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5040264478"],"corresponding_institution_ids":["https://openalex.org/I204778367"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.0066,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.7289641,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"21","issue":"23","first_page":"8009","last_page":"8009"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10190","display_name":"Air Quality and Health Impacts","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.7335435748100281},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6754608750343323},{"id":"https://openalex.org/keywords/uncertainty-quantification","display_name":"Uncertainty quantification","score":0.5916432738304138},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5859369039535522},{"id":"https://openalex.org/keywords/air-quality-index","display_name":"Air quality index","score":0.5558310747146606},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4804496467113495},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.47072306275367737},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.454984575510025},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4425998032093048},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4350523352622986},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42492181062698364},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12652119994163513},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09545555710792542}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7335435748100281},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6754608750343323},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.5916432738304138},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5859369039535522},{"id":"https://openalex.org/C126314574","wikidata":"https://www.wikidata.org/wiki/Q2364111","display_name":"Air quality index","level":2,"score":0.5558310747146606},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4804496467113495},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.47072306275367737},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.454984575510025},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4425998032093048},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4350523352622986},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42492181062698364},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12652119994163513},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09545555710792542},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000397","descriptor_name":"Air Pollution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000397","descriptor_name":"Air Pollution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000397","descriptor_name":"Air Pollution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":7,"locations":[{"id":"doi:10.3390/s21238009","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21238009","pdf_url":"https://www.mdpi.com/1424-8220/21/23/8009/pdf?version=1638946867","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:34884011","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34884011","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:arXiv.org:2112.02622","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2112.02622","pdf_url":"https://arxiv.org/pdf/2112.02622","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:cb0b7588fe124369bf19fc1cd16b2f85","is_oa":true,"landing_page_url":"https://doaj.org/article/cb0b7588fe124369bf19fc1cd16b2f85","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 21, Iss 23, p 8009 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/23/8009/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21238009","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 21; Issue 23; Pages: 8009","raw_type":"Text"},{"id":"pmh:oai:ntnuopen.ntnu.no:11250/3053202","is_oa":true,"landing_page_url":"https://hdl.handle.net/11250/3053202","pdf_url":null,"source":{"id":"https://openalex.org/S4306401716","display_name":"Duo Research Archive (University of Oslo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184942183","host_organization_name":"University of Oslo","host_organization_lineage":["https://openalex.org/I184942183"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"21","raw_type":"info:eu-repo/semantics/other"},{"id":"pmh:oai:pubmedcentral.nih.gov:8659533","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8659533","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21238009","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21238009","pdf_url":"https://www.mdpi.com/1424-8220/21/23/8009/pdf?version=1638946867","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3215544058.pdf","grobid_xml":"https://content.openalex.org/works/W3215544058.grobid-xml"},"referenced_works_count":94,"referenced_works":["https://openalex.org/W582134693","https://openalex.org/W816427403","https://openalex.org/W1494192115","https://openalex.org/W1534477342","https://openalex.org/W1560021816","https://openalex.org/W1567512734","https://openalex.org/W1678356000","https://openalex.org/W1821462560","https://openalex.org/W1826234144","https://openalex.org/W1945616565","https://openalex.org/W2025720061","https://openalex.org/W2073241381","https://openalex.org/W2095705004","https://openalex.org/W2108677974","https://openalex.org/W2111051539","https://openalex.org/W2122129901","https://openalex.org/W2128718622","https://openalex.org/W2135948793","https://openalex.org/W2144193737","https://openalex.org/W2154087390","https://openalex.org/W2164411961","https://openalex.org/W2167433878","https://openalex.org/W2170505850","https://openalex.org/W2183341477","https://openalex.org/W2212703438","https://openalex.org/W2242047860","https://openalex.org/W2259472270","https://openalex.org/W2295598076","https://openalex.org/W2299309329","https://openalex.org/W2519887557","https://openalex.org/W2560321925","https://openalex.org/W2567070169","https://openalex.org/W2592505114","https://openalex.org/W2600383743","https://openalex.org/W2618011341","https://openalex.org/W2621627245","https://openalex.org/W2751802138","https://openalex.org/W2767979715","https://openalex.org/W2768008502","https://openalex.org/W2786857698","https://openalex.org/W2789613182","https://openalex.org/W2792287754","https://openalex.org/W2796137474","https://openalex.org/W2893995718","https://openalex.org/W2898461917","https://openalex.org/W2901499219","https://openalex.org/W2912168444","https://openalex.org/W2913266441","https://openalex.org/W2944681516","https://openalex.org/W2948210185","https://openalex.org/W2951595529","https://openalex.org/W2955613755","https://openalex.org/W2963173418","https://openalex.org/W2963238274","https://openalex.org/W2963358464","https://openalex.org/W2963677766","https://openalex.org/W2963807318","https://openalex.org/W2964015378","https://openalex.org/W2964030506","https://openalex.org/W2964059111","https://openalex.org/W2964159205","https://openalex.org/W2971130081","https://openalex.org/W3014339631","https://openalex.org/W3022787740","https://openalex.org/W3027742148","https://openalex.org/W3034140249","https://openalex.org/W3035029315","https://openalex.org/W3035711539","https://openalex.org/W3038897811","https://openalex.org/W3045822994","https://openalex.org/W3104302219","https://openalex.org/W3123637654","https://openalex.org/W3129901004","https://openalex.org/W3158729179","https://openalex.org/W3183598355","https://openalex.org/W4241996101","https://openalex.org/W4251264466","https://openalex.org/W4252475223","https://openalex.org/W4255108764","https://openalex.org/W4286984660","https://openalex.org/W4287270621","https://openalex.org/W4288363925","https://openalex.org/W4294562888","https://openalex.org/W4297801368","https://openalex.org/W4391602018","https://openalex.org/W6623242218","https://openalex.org/W6638523607","https://openalex.org/W6674330103","https://openalex.org/W6681286327","https://openalex.org/W6682631133","https://openalex.org/W6684488266","https://openalex.org/W6684578138","https://openalex.org/W6761100157","https://openalex.org/W6763342845"],"related_works":["https://openalex.org/W1991093342","https://openalex.org/W2389214306","https://openalex.org/W4375867731","https://openalex.org/W2965083567","https://openalex.org/W4235240664","https://openalex.org/W1838576100","https://openalex.org/W2095886385","https://openalex.org/W2889616422","https://openalex.org/W2089704382","https://openalex.org/W4376309286"],"abstract_inverted_index":{"Data-driven":[0],"forecasts":[1],"of":[2,17,25,60,66,76,83,105,209],"air":[3,67,84,129,149],"quality":[4,68,85,130,150],"have":[5,43,52],"recently":[6],"achieved":[7],"more":[8,158,219],"accurate":[9],"short-term":[10],"predictions.":[11],"However,":[12,50],"despite":[13],"their":[14,97],"success,":[15],"most":[16],"the":[18,34,64,136,206],"current":[19],"data-driven":[20,148],"solutions":[21],"lack":[22],"proper":[23],"quantifications":[24],"model":[26],"uncertainty":[27,42,77,146,160,210],"that":[28,135],"communicate":[29],"how":[30],"much":[31],"to":[32,40,166],"trust":[33],"forecasts.":[35,69,86,151],"Recently,":[36],"several":[37],"practical":[38,109,207],"tools":[39,62],"estimate":[41,161],"been":[44,54],"developed":[45],"in":[46,63,79,128,144,147,199],"probabilistic":[47,93,216],"deep":[48,175],"learning.":[49],"there":[51],"not":[53],"empirical":[55,102],"applications":[56],"and":[57,95,108,121,124,168,181,196,212],"extensive":[58,88],"comparisons":[59],"these":[61,115],"domain":[65],"Therefore,":[70],"this":[71],"work":[72],"applies":[73],"state-of-the-art":[74],"techniques":[75],"quantification":[78],"a":[80,157],"real-world":[81],"setting":[82],"Through":[87],"experiments,":[89],"we":[90],"describe":[91],"training":[92,120],"models":[94,116,138,217],"evaluate":[96],"predictive":[98],"uncertainties":[99],"based":[100],"on":[101],"performance,":[103],"reliability":[104],"confidence":[106],"estimate,":[107],"applicability.":[110],"We":[111],"also":[112],"propose":[113],"improving":[114],"using":[117],"\"free\"":[118],"adversarial":[119],"exploiting":[122],"temporal":[123],"spatial":[125],"correlation":[126],"inherent":[127],"data.":[131],"Our":[132],"experiments":[133],"demonstrate":[134,213],"proposed":[137],"perform":[139,187],"better":[140],"than":[141],"previous":[142],"works":[143],"quantifying":[145],"Overall,":[152],"Bayesian":[153],"neural":[154],"networks":[155],"provide":[156],"reliable":[159],"but":[162,192],"can":[163,186],"be":[164],"challenging":[165],"implement":[167],"scale.":[169],"Other":[170],"scalable":[171],"methods,":[172],"such":[173],"as":[174],"ensemble,":[176],"Monte":[177],"Carlo":[178],"(MC)":[179],"dropout,":[180],"stochastic":[182],"weight":[183],"averaging-Gaussian":[184],"(SWAG),":[185],"well":[188],"if":[189],"applied":[190],"correctly":[191],"with":[193],"different":[194],"tradeoffs":[195],"slight":[197],"variations":[198],"performance":[200],"metrics.":[201],"Finally,":[202],"our":[203],"results":[204],"show":[205],"impact":[208],"estimation":[211],"that,":[214],"indeed,":[215],"are":[218],"suitable":[220],"for":[221],"making":[222],"informed":[223],"decisions.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}