{"id":"https://openalex.org/W2997088363","doi":"https://doi.org/10.1109/access.2019.2962202","title":"Precious Metal Price Prediction Based on Deep Regularization Self-Attention Regression","display_name":"Precious Metal Price Prediction Based on Deep Regularization Self-Attention Regression","publication_year":2019,"publication_date":"2019-12-25","ids":{"openalex":"https://openalex.org/W2997088363","doi":"https://doi.org/10.1109/access.2019.2962202","mag":"2997088363"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2962202","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2962202","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08943215.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08943215.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025284744","display_name":"Junhao Zhou","orcid":"https://orcid.org/0000-0001-9309-8315"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Junhao Zhou","raw_affiliation_strings":["Faculty of Information Technology, Macau University of Science and Technology, Macao, China","ORCiD"],"raw_orcid":"https://orcid.org/0000-0001-9309-8315","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Macau University of Science and Technology, Macao, China","institution_ids":["https://openalex.org/I111950717"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046576795","display_name":"Zhanhong He","orcid":"https://orcid.org/0000-0001-8806-7135"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhanhong He","raw_affiliation_strings":["Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong","ORCiD"],"raw_orcid":"https://orcid.org/0000-0001-8806-7135","affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045012406","display_name":"Yanan Song","orcid":"https://orcid.org/0000-0002-5092-0329"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Ya Nan Song","raw_affiliation_strings":["School of Business, Macau University of Science and Technology, Macao, China","ORCiD"],"raw_orcid":"https://orcid.org/0000-0002-5092-0329","affiliations":[{"raw_affiliation_string":"School of Business, Macau University of Science and Technology, Macao, China","institution_ids":["https://openalex.org/I111950717"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100446064","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0001-9301-5989"},"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":"Hao Wang","raw_affiliation_strings":["Department of Computer Science, Norwegian University of Science and Technology, Gj\u00f8vik, Norway","Department of Computer Science, Norwegian University of Science and Technology, Gj&#x00F8;vik, Norway","ORCiD"],"raw_orcid":"https://orcid.org/0000-0001-9301-5989","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Norwegian University of Science and Technology, Gj\u00f8vik, Norway","institution_ids":["https://openalex.org/I204778367"]},{"raw_affiliation_string":"Department of Computer Science, Norwegian University of Science and Technology, Gj&#x00F8;vik, Norway","institution_ids":["https://openalex.org/I204778367"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443392","display_name":"Xiaoping Yang","orcid":"https://orcid.org/0000-0002-7030-7046"},"institutions":[{"id":"https://openalex.org/I4394709108","display_name":"Zhejiang Yuexiu University","ror":"https://ror.org/00scnsb87","country_code":null,"type":"education","lineage":["https://openalex.org/I4394709108"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoping Yang","raw_affiliation_strings":["Institute of Modern Economics and Management, Zhejiang Yuexiu University of Foreign Languages, Shaoxing, China","ORCiD"],"raw_orcid":"https://orcid.org/0000-0002-7030-7046","affiliations":[{"raw_affiliation_string":"Institute of Modern Economics and Management, Zhejiang Yuexiu University of Foreign Languages, Shaoxing, China","institution_ids":["https://openalex.org/I4394709108"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022783715","display_name":"Wenjuan Lian","orcid":"https://orcid.org/0000-0002-5339-1303"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjuan Lian","raw_affiliation_strings":["College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China","ORCiD"],"raw_orcid":"https://orcid.org/0000-0002-5339-1303","affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072659343","display_name":"Hong\u2010Ning Dai","orcid":"https://orcid.org/0000-0001-6165-4196"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Hong-Ning Dai","raw_affiliation_strings":["Faculty of Information Technology, Macau University of Science and Technology, Macao, China","ORCiD"],"raw_orcid":"https://orcid.org/0000-0001-6165-4196","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Macau University of Science and Technology, Macao, China","institution_ids":["https://openalex.org/I111950717"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":5.0788,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.95714754,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"2178","last_page":"2187"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11059","display_name":"Market Dynamics and Volatility","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11059","display_name":"Market Dynamics and Volatility","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14319","display_name":"Currency Recognition and Detection","score":0.9939000010490417,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9767000079154968,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7829587459564209},{"id":"https://openalex.org/keywords/precious-metal","display_name":"Precious metal","score":0.7452962398529053},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7371155023574829},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6990149021148682},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6735692024230957},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.647396445274353},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5616273880004883},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5107154846191406},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4965115189552307},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4932865500450134},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.453381210565567},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.43485406041145325},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.4206421375274658},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10349392890930176},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0916338860988617},{"id":"https://openalex.org/keywords/metal","display_name":"Metal","score":0.07496494054794312}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7829587459564209},{"id":"https://openalex.org/C2778146478","wikidata":"https://www.wikidata.org/wiki/Q271449","display_name":"Precious metal","level":3,"score":0.7452962398529053},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7371155023574829},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6990149021148682},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6735692024230957},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.647396445274353},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5616273880004883},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5107154846191406},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4965115189552307},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4932865500450134},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.453381210565567},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.43485406041145325},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4206421375274658},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10349392890930176},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0916338860988617},{"id":"https://openalex.org/C544153396","wikidata":"https://www.wikidata.org/wiki/Q11426","display_name":"Metal","level":2,"score":0.07496494054794312},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/access.2019.2962202","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2962202","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08943215.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2b3f4567faa540c6b992a03ffc20e0d0","is_oa":true,"landing_page_url":"https://doaj.org/article/2b3f4567faa540c6b992a03ffc20e0d0","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":"IEEE Access, Vol 8, Pp 2178-2187 (2020)","raw_type":"article"},{"id":"pmh:oai:ntnuopen.ntnu.no:11250/2635870","is_oa":true,"landing_page_url":"http://hdl.handle.net/11250/2635870","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":"2178-2187","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:repository.ust.hk:1783.1-101313","is_oa":false,"landing_page_url":"http://www.scopus.com/record/display.url?eid=2-s2.0-85077281060&origin=inward","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2962202","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2962202","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08943215.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G2525300429","display_name":null,"funder_award_id":"U1401251","funder_id":"https://openalex.org/F4320336213","funder_display_name":"National Natural Science Foundation of China-Guangdong Joint Fund"},{"id":"https://openalex.org/G2691292257","display_name":null,"funder_award_id":"U1401251","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3953555290","display_name":"\u667a\u80fd\u5236\u9020\u7269\u8054\u7f51\u7edc\u81ea\u7ec4\u7ec7\u5f39\u6027\u589e\u5f3a\u7b56\u7565\u7814\u7a76","funder_award_id":"61672170","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8694819188","display_name":null,"funder_award_id":"2017A050501035","funder_id":"https://openalex.org/F4320335795","funder_display_name":"Science and Technology Planning Project of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335795","display_name":"Science and Technology Planning Project of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320336213","display_name":"National Natural Science Foundation of China-Guangdong Joint Fund","ror":null},{"id":"https://openalex.org/F4320338409","display_name":"Northwest Fisheries Science Center","ror":"https://ror.org/05r7z1k40"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2997088363.pdf","grobid_xml":"https://content.openalex.org/works/W2997088363.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1532227133","https://openalex.org/W1538131130","https://openalex.org/W1575641806","https://openalex.org/W1914219707","https://openalex.org/W1980025918","https://openalex.org/W1995834279","https://openalex.org/W2012079387","https://openalex.org/W2015262594","https://openalex.org/W2064675550","https://openalex.org/W2106051978","https://openalex.org/W2143612262","https://openalex.org/W2161963926","https://openalex.org/W2162711739","https://openalex.org/W2163605009","https://openalex.org/W2191329106","https://openalex.org/W2346062110","https://openalex.org/W2623255916","https://openalex.org/W2741252866","https://openalex.org/W2765494056","https://openalex.org/W2776990447","https://openalex.org/W2793745122","https://openalex.org/W2809254203","https://openalex.org/W2810097917","https://openalex.org/W2832139998","https://openalex.org/W2899037356","https://openalex.org/W2912036663","https://openalex.org/W2920873208","https://openalex.org/W2940640769","https://openalex.org/W2951527505","https://openalex.org/W2969963693","https://openalex.org/W4237584660","https://openalex.org/W4239510810","https://openalex.org/W4385245566","https://openalex.org/W6634594672","https://openalex.org/W6640015359","https://openalex.org/W6682137061","https://openalex.org/W6684044122","https://openalex.org/W6684191040","https://openalex.org/W6738805318","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W4245793030","https://openalex.org/W1492248273","https://openalex.org/W4237453204","https://openalex.org/W1504133932","https://openalex.org/W4200189843","https://openalex.org/W2417575263","https://openalex.org/W4312901429","https://openalex.org/W2397325929","https://openalex.org/W4282583532","https://openalex.org/W4256076151"],"abstract_inverted_index":{"It":[0],"is":[1],"non-trivial":[2],"to":[3,74,147],"predict":[4],"the":[5,17,33,53,72,76,100,138,148],"prices":[6],"of":[7,13,19,55,78,105,141],"precious":[8,20,34,94,133,156],"metals":[9],"since":[10],"a":[11,88],"number":[12],"factors":[14],"can":[15,125,144],"affect":[16],"fluctuations":[18],"metal":[21,35,95,134,157],"prices.":[22,36],"Either":[23],"parametric":[24],"models":[25,29],"or":[26],"machine":[27,168],"learning":[28,39,56,80,169,172],"cannot":[30],"accurately":[31],"forecast":[32],"Though":[37],"deep":[38,79,171],"approaches":[40],"show":[41,160],"their":[42],"strengths":[43],"in":[44,68],"extracting":[45],"key":[46],"features":[47,131],"from":[48,132],"complicated":[49],"data,":[50],"they":[51],"have":[52],"limitations":[54],"localization":[57],"and":[58,62,111,129,170],"losing":[59],"some":[60],"temporal":[61,130],"spatial":[63,128],"features.":[64],"The":[65],"recent":[66],"advances":[67],"attention":[69],"mechanisms":[70],"bring":[71],"opportunities":[73],"overcome":[75],"limitation":[77],"models.":[81],"In":[82,98],"this":[83,123],"paper,":[84],"we":[85],"originally":[86],"propose":[87],"Regularization":[89],"Self-Attention":[90],"Regression":[91],"Model":[92],"for":[93],"price":[96,135,158],"prediction.":[97],"particular,":[99],"proposed":[101,163],"RSAR":[102],"model":[103,124],"consists":[104],"convolutional":[106],"neural":[107],"network":[108],"(CNN)":[109],"component":[110],"Long":[112],"Short-Term":[113],"Memory":[114],"Neural":[115],"Networks":[116],"(LSTM)":[117],"component.":[118],"Integrating":[119],"with":[120],"self-attention":[121],"mechanism,":[122],"extract":[126],"both":[127],"data.":[136],"Meanwhile,":[137],"proper":[139],"configuration":[140],"regularization":[142],"functions":[143],"also":[145],"lead":[146],"further":[149],"performance":[150],"improvement.":[151],"Extensive":[152],"experiments":[153],"on":[154],"realistic":[155],"dataset":[159],"that":[161],"our":[162],"approach":[164],"outperforms":[165],"other":[166],"conventional":[167],"methods.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2026-06-14T07:44:22.658603","created_date":"2025-10-10T00:00:00"}
