{"id":"https://openalex.org/W7163066683","doi":"https://doi.org/10.1016/j.engappai.2026.115266","title":"Deep time-series methods to enhance company earnings prediction performance","display_name":"Deep time-series methods to enhance company earnings prediction performance","publication_year":2026,"publication_date":"2026-06-01","ids":{"openalex":"https://openalex.org/W7163066683","doi":"https://doi.org/10.1016/j.engappai.2026.115266"},"language":"en","primary_location":{"id":"doi:10.1016/j.engappai.2026.115266","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.engappai.2026.115266","pdf_url":null,"source":{"id":"https://openalex.org/S900972176","display_name":"Engineering Applications of Artificial Intelligence","issn_l":"0952-1976","issn":["0952-1976","1873-6769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Applications of Artificial Intelligence","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/A5137573401","display_name":"Deniz Ozbakir","orcid":null},"institutions":[{"id":"https://openalex.org/I44925452","display_name":"\u00d6zye\u011fin University","ror":"https://ror.org/01jjhfr75","country_code":"TR","type":"education","lineage":["https://openalex.org/I44925452"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Deniz Ozbakir","raw_affiliation_strings":["Ozyegin University Computer Science Department, Nisantepe, Orman Sk. No:13, 34794, Istanbul, T\u00fcrkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ozyegin University Computer Science Department, Nisantepe, Orman Sk. No:13, 34794, Istanbul, T\u00fcrkiye","institution_ids":["https://openalex.org/I44925452"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137600151","display_name":"Arda Erdogan","orcid":null},"institutions":[{"id":"https://openalex.org/I44925452","display_name":"\u00d6zye\u011fin University","ror":"https://ror.org/01jjhfr75","country_code":"TR","type":"education","lineage":["https://openalex.org/I44925452"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Arda Erdogan","raw_affiliation_strings":["Ozyegin University Computer Science Department, Nisantepe, Orman Sk. No:13, 34794, Istanbul, T\u00fcrkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ozyegin University Computer Science Department, Nisantepe, Orman Sk. No:13, 34794, Istanbul, T\u00fcrkiye","institution_ids":["https://openalex.org/I44925452"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137571854","display_name":"Uygar Gun","orcid":null},"institutions":[{"id":"https://openalex.org/I44925452","display_name":"\u00d6zye\u011fin University","ror":"https://ror.org/01jjhfr75","country_code":"TR","type":"education","lineage":["https://openalex.org/I44925452"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Uygar Gun","raw_affiliation_strings":["Ozyegin University Computer Science Department, Nisantepe, Orman Sk. No:13, 34794, Istanbul, T\u00fcrkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ozyegin University Computer Science Department, Nisantepe, Orman Sk. No:13, 34794, Istanbul, T\u00fcrkiye","institution_ids":["https://openalex.org/I44925452"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005523015","display_name":"Emre Sefer","orcid":"https://orcid.org/0000-0002-9186-0270"},"institutions":[{"id":"https://openalex.org/I44925452","display_name":"\u00d6zye\u011fin University","ror":"https://ror.org/01jjhfr75","country_code":"TR","type":"education","lineage":["https://openalex.org/I44925452"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Emre Sefer","raw_affiliation_strings":["Ozyegin University Artificial Intelligence and Data Engineering Department, Nisantepe, Orman Sk. No:13, 34794, Istanbul, T\u00fcrkiye"],"raw_orcid":"https://orcid.org/0000-0002-9186-0270","affiliations":[{"raw_affiliation_string":"Ozyegin University Artificial Intelligence and Data Engineering Department, Nisantepe, Orman Sk. No:13, 34794, Istanbul, T\u00fcrkiye","institution_ids":["https://openalex.org/I44925452"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5005523015"],"corresponding_institution_ids":["https://openalex.org/I44925452"],"apc_list":{"value":3170,"currency":"USD","value_usd":3170},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.94522276,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":"179","issue":null,"first_page":"115266","last_page":"115266"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.5679000020027161,"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"}},"topics":[{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.5679000020027161,"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"}},{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.2935999929904938,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10081","display_name":"Auditing, Earnings Management, Governance","score":0.022600000724196434,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/earnings","display_name":"Earnings","score":0.6182000041007996},{"id":"https://openalex.org/keywords/inflation","display_name":"Inflation (cosmology)","score":0.5830000042915344},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5544000267982483},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.5034000277519226},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4754999876022339},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4641000032424927},{"id":"https://openalex.org/keywords/investment","display_name":"Investment (military)","score":0.3873000144958496},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3837999999523163},{"id":"https://openalex.org/keywords/earnings-per-share","display_name":"Earnings per share","score":0.3643999993801117}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8190000057220459},{"id":"https://openalex.org/C2781426361","wikidata":"https://www.wikidata.org/wiki/Q5326940","display_name":"Earnings","level":2,"score":0.6182000041007996},{"id":"https://openalex.org/C200941418","wikidata":"https://www.wikidata.org/wiki/Q273508","display_name":"Inflation (cosmology)","level":2,"score":0.5830000042915344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5641999840736389},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5555999875068665},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5544000267982483},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.5034000277519226},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4754999876022339},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4641000032424927},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.39419999718666077},{"id":"https://openalex.org/C27548731","wikidata":"https://www.wikidata.org/wiki/Q88272","display_name":"Investment (military)","level":3,"score":0.3873000144958496},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3837999999523163},{"id":"https://openalex.org/C206217203","wikidata":"https://www.wikidata.org/wiki/Q1134378","display_name":"Earnings per share","level":3,"score":0.3643999993801117},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.35839998722076416},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.35690000653266907},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.3537999987602234},{"id":"https://openalex.org/C19244329","wikidata":"https://www.wikidata.org/wiki/Q208697","display_name":"Financial market","level":2,"score":0.3352000117301941},{"id":"https://openalex.org/C2777115002","wikidata":"https://www.wikidata.org/wiki/Q7168246","display_name":"Performance prediction","level":2,"score":0.31520000100135803},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.30979999899864197},{"id":"https://openalex.org/C98014903","wikidata":"https://www.wikidata.org/wiki/Q832161","display_name":"Financial ratio","level":2,"score":0.3068000078201294},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30550000071525574},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.29330000281333923},{"id":"https://openalex.org/C103144560","wikidata":"https://www.wikidata.org/wiki/Q2670999","display_name":"Investment strategy","level":3,"score":0.2919999957084656},{"id":"https://openalex.org/C2778865806","wikidata":"https://www.wikidata.org/wiki/Q6060850","display_name":"Investment decisions","level":3,"score":0.28839999437332153},{"id":"https://openalex.org/C117245426","wikidata":"https://www.wikidata.org/wiki/Q235038","display_name":"Technical analysis","level":2,"score":0.2806999981403351},{"id":"https://openalex.org/C163068380","wikidata":"https://www.wikidata.org/wiki/Q3409313","display_name":"Economic forecasting","level":2,"score":0.27459999918937683},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.2685000002384186},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C26584437","wikidata":"https://www.wikidata.org/wiki/Q6060874","display_name":"Investment performance","level":4,"score":0.2522999942302704},{"id":"https://openalex.org/C202353208","wikidata":"https://www.wikidata.org/wiki/Q1167393","display_name":"Economic indicator","level":2,"score":0.251800000667572}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.engappai.2026.115266","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.engappai.2026.115266","pdf_url":null,"source":{"id":"https://openalex.org/S900972176","display_name":"Engineering Applications of Artificial Intelligence","issn_l":"0952-1976","issn":["0952-1976","1873-6769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Applications of Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1963826206","https://openalex.org/W1992115306","https://openalex.org/W2064186732","https://openalex.org/W2064675550","https://openalex.org/W2550143307","https://openalex.org/W2613328025","https://openalex.org/W2624385633","https://openalex.org/W2747599906","https://openalex.org/W2911964244","https://openalex.org/W2919115771","https://openalex.org/W2946921030","https://openalex.org/W2980628834","https://openalex.org/W2980994438","https://openalex.org/W3007066689","https://openalex.org/W3122263515","https://openalex.org/W3122656306","https://openalex.org/W3123336671","https://openalex.org/W3124738474","https://openalex.org/W3125062974","https://openalex.org/W3125336712","https://openalex.org/W3125694509","https://openalex.org/W3171884590","https://openalex.org/W3177318507","https://openalex.org/W4306962664","https://openalex.org/W4386629727","https://openalex.org/W4388994448","https://openalex.org/W4391695459","https://openalex.org/W4404421588","https://openalex.org/W4414166478","https://openalex.org/W4416195063","https://openalex.org/W4416232957"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-06-03T06:16:58.514037","created_date":"2026-06-02T00:00:00"}
