{"id":"https://openalex.org/W2914875898","doi":"https://doi.org/10.1007/s13042-019-00924-7","title":"Sensitive time series prediction using extreme learning machine","display_name":"Sensitive time series prediction using extreme learning machine","publication_year":2019,"publication_date":"2019-01-25","ids":{"openalex":"https://openalex.org/W2914875898","doi":"https://doi.org/10.1007/s13042-019-00924-7","mag":"2914875898"},"language":"en","primary_location":{"id":"doi:10.1007/s13042-019-00924-7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s13042-019-00924-7","pdf_url":null,"source":{"id":"https://openalex.org/S2764999920","display_name":"International Journal of Machine Learning and Cybernetics","issn_l":"1868-8071","issn":["1868-8071","1868-808X"],"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":"International Journal of Machine Learning and Cybernetics","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/A5100395762","display_name":"Hongbo Wang","orcid":"https://orcid.org/0000-0002-4765-4584"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hong-Bo Wang","raw_affiliation_strings":["School of Computer and Communication Engineering; Beijing Key Laboratory of Knowledge Engineering for Materials Science, University of Science and Technology Beijing, No.30 Xueyuan Road, Haidian Zone, Beijing, 100083, China","Beijing Key Laboratory of Knowledge Engineering for Materials Science, University of Science and Technology Beijing, No.30 Xueyuan Road, Haidian Zone, Beijing, 100083, China","School of Computer and Communication Engineering"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering; Beijing Key Laboratory of Knowledge Engineering for Materials Science, University of Science and Technology Beijing, No.30 Xueyuan Road, Haidian Zone, Beijing, 100083, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, University of Science and Technology Beijing, No.30 Xueyuan Road, Haidian Zone, Beijing, 100083, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"School of Computer and Communication Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100450813","display_name":"Xi Liu","orcid":"https://orcid.org/0000-0002-8654-0774"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Liu","raw_affiliation_strings":["School of Computer and Communication Engineering; Beijing Key Laboratory of Knowledge Engineering for Materials Science, University of Science and Technology Beijing, No.30 Xueyuan Road, Haidian Zone, Beijing, 100083, China","Beijing Key Laboratory of Knowledge Engineering for Materials Science, University of Science and Technology Beijing, No.30 Xueyuan Road, Haidian Zone, Beijing, 100083, China","School of Computer and Communication Engineering"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering; Beijing Key Laboratory of Knowledge Engineering for Materials Science, University of Science and Technology Beijing, No.30 Xueyuan Road, Haidian Zone, Beijing, 100083, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, University of Science and Technology Beijing, No.30 Xueyuan Road, Haidian Zone, Beijing, 100083, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"School of Computer and Communication Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102957508","display_name":"Peng Song","orcid":"https://orcid.org/0009-0006-5798-3740"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Song","raw_affiliation_strings":["School of Computer and Communication Engineering; Beijing Key Laboratory of Knowledge Engineering for Materials Science, University of Science and Technology Beijing, No.30 Xueyuan Road, Haidian Zone, Beijing, 100083, China","School of Computer and Communication Engineering","Beijing Key Laboratory of Knowledge Engineering for Materials Science, University of Science and Technology Beijing, No.30 Xueyuan Road, Haidian Zone, Beijing, 100083, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering; Beijing Key Laboratory of Knowledge Engineering for Materials Science, University of Science and Technology Beijing, No.30 Xueyuan Road, Haidian Zone, Beijing, 100083, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"School of Computer and Communication Engineering","institution_ids":[]},{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, University of Science and Technology Beijing, No.30 Xueyuan Road, Haidian Zone, Beijing, 100083, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110632975","display_name":"Xuyan Tu","orcid":null},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu-Yan Tu","raw_affiliation_strings":["School of Computer and Communication Engineering; Beijing Key Laboratory of Knowledge Engineering for Materials Science, University of Science and Technology Beijing, No.30 Xueyuan Road, Haidian Zone, Beijing, 100083, China","Beijing Key Laboratory of Knowledge Engineering for Materials Science, University of Science and Technology Beijing, No.30 Xueyuan Road, Haidian Zone, Beijing, 100083, China","School of Computer and Communication Engineering"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering; Beijing Key Laboratory of Knowledge Engineering for Materials Science, University of Science and Technology Beijing, No.30 Xueyuan Road, Haidian Zone, Beijing, 100083, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, University of Science and Technology Beijing, No.30 Xueyuan Road, Haidian Zone, Beijing, 100083, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"School of Computer and Communication Engineering","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100395762"],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":{"value":2790,"currency":"EUR","value_usd":3590},"apc_paid":null,"fwci":1.5899,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.87429561,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"10","issue":"12","first_page":"3371","last_page":"3386"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":1.0,"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/T12676","display_name":"Machine Learning and ELM","score":1.0,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9869999885559082,"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":0.8121676445007324},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.6913966536521912},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5896111130714417},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.5733044743537903},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5694093704223633},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5589343309402466},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5438055396080017},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.5169534087181091},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47558510303497314},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4722667932510376},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.460529625415802},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.43503594398498535},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.43229907751083374},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.10285720229148865}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8121676445007324},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.6913966536521912},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5896111130714417},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.5733044743537903},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5694093704223633},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5589343309402466},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5438055396080017},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.5169534087181091},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47558510303497314},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4722667932510376},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.460529625415802},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.43503594398498535},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.43229907751083374},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.10285720229148865},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/s13042-019-00924-7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s13042-019-00924-7","pdf_url":null,"source":{"id":"https://openalex.org/S2764999920","display_name":"International Journal of Machine Learning and Cybernetics","issn_l":"1868-8071","issn":["1868-8071","1868-808X"],"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":"International Journal of Machine Learning and Cybernetics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.47999998927116394}],"awards":[{"id":"https://openalex.org/G8654819145","display_name":null,"funder_award_id":"61572074","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1551946180","https://openalex.org/W1616772431","https://openalex.org/W1965895201","https://openalex.org/W1975787045","https://openalex.org/W1982705136","https://openalex.org/W2002728347","https://openalex.org/W2026131661","https://openalex.org/W2032764504","https://openalex.org/W2036785686","https://openalex.org/W2037072271","https://openalex.org/W2038860231","https://openalex.org/W2039389092","https://openalex.org/W2052437577","https://openalex.org/W2090758866","https://openalex.org/W2096987757","https://openalex.org/W2113619583","https://openalex.org/W2124428301","https://openalex.org/W2130378394","https://openalex.org/W2139287577","https://openalex.org/W2141695047","https://openalex.org/W2148925052","https://openalex.org/W2158054309","https://openalex.org/W2160188925","https://openalex.org/W2163572752","https://openalex.org/W2165967751","https://openalex.org/W2200331785","https://openalex.org/W2294849698","https://openalex.org/W2301541953","https://openalex.org/W2554114274","https://openalex.org/W2561829440","https://openalex.org/W2561964848","https://openalex.org/W2587056823","https://openalex.org/W2604842920","https://openalex.org/W2735629075","https://openalex.org/W2736087146","https://openalex.org/W2748696240","https://openalex.org/W2754045839","https://openalex.org/W2756072458","https://openalex.org/W2792300954","https://openalex.org/W2802958018","https://openalex.org/W2803563496","https://openalex.org/W2963910563","https://openalex.org/W2994602700","https://openalex.org/W6600231488","https://openalex.org/W6602415781"],"related_works":["https://openalex.org/W2067443264","https://openalex.org/W2931688134","https://openalex.org/W2377919138","https://openalex.org/W2378857091","https://openalex.org/W103652678","https://openalex.org/W4226090359","https://openalex.org/W2059697060","https://openalex.org/W936373746","https://openalex.org/W31566076","https://openalex.org/W1993717606"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}