{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T18:38:08Z","timestamp":1772908688582,"version":"3.50.1"},"reference-count":39,"publisher":"Informa UK Limited","issue":"1","license":[{"start":{"date-parts":[[2023,3,11]],"date-time":"2023-03-11T00:00:00Z","timestamp":1678492800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003593","name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","doi-asserted-by":"publisher","award":["40558\/2018-5"],"award-info":[{"award-number":["40558\/2018-5"]}],"id":[{"id":"10.13039\/501100003593","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003593","name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","doi-asserted-by":"publisher","award":["315298\/2020-0"],"award-info":[{"award-number":["315298\/2020-0"]}],"id":[{"id":"10.13039\/501100003593","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002322","name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","doi-asserted-by":"publisher","award":["001"],"award-info":[{"award-number":["001"]}],"id":[{"id":"10.13039\/501100002322","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004612","name":"Funda\u00e7\u00e3o Arauc\u00e1ria","doi-asserted-by":"publisher","award":["51497"],"award-info":[{"award-number":["51497"]}],"id":[{"id":"10.13039\/501100004612","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["Applied Artificial Intelligence"],"published-print":{"date-parts":[[2023,12,31]]},"DOI":"10.1080\/08839514.2023.2185849","type":"journal-article","created":{"date-parts":[[2023,3,11]],"date-time":"2023-03-11T08:16:20Z","timestamp":1678522580000},"update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":4,"title":["Neural Networks And Ensemble Based Architectures To Automatic Musical Harmonization: A Performance Comparison"],"prefix":"10.1080","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4314-6697","authenticated-orcid":false,"given":"Lucas F. P.","family":"Costa","sequence":"first","affiliation":[{"name":"Graduate Program in Computer Sciences (PPGCC), Federal University of Technology - Paran\u00e1 (UTFPR), Ponta Grossa, Brazil"}]},{"given":"Tathiana M.","family":"Barchi","sequence":"additional","affiliation":[{"name":"Graduate Program in Computer Sciences (PPGCC), Federal University of Technology - Paran\u00e1 (UTFPR), Ponta Grossa, Brazil"}]},{"given":"Erikson F.","family":"de Morais","sequence":"additional","affiliation":[{"name":"Graduate Program in Computer Sciences (PPGCC), Federal University of Technology - Paran\u00e1 (UTFPR), Ponta Grossa, Brazil"}]},{"given":"Andr\u00e9s E.","family":"Coca","sequence":"additional","affiliation":[{"name":"Coordination in Computer Engineering (COENC), Federal University of Technology - Paran\u00e1 (UTFPR), Toledo, Brazil"}]},{"given":"Elder E.","family":"Schemberger","sequence":"additional","affiliation":[{"name":"Coordination in Computer Engineering (COENC), Federal University of Technology - Paran\u00e1 (UTFPR), Toledo, Brazil"}]},{"given":"Marcella S. R.","family":"Martins","sequence":"additional","affiliation":[{"name":"Department of Electronics Engineering (DAELE), Federal University of Technology - Paran\u00e1 (UTFPR), Ponta Grossa, Brazil"}]},{"given":"Hugo Valadares","family":"Siqueira","sequence":"additional","affiliation":[{"name":"Graduate Program in Computer Sciences (PPGCC), Federal University of Technology - Paran\u00e1 (UTFPR), Ponta Grossa, Brazil"},{"name":"Department of Electronics Engineering (DAELE), Federal University of Technology - Paran\u00e1 (UTFPR), Ponta Grossa, Brazil"}]}],"member":"301","published-online":{"date-parts":[[2023,3,11]]},"reference":[{"key":"e_1_3_5_2_1","doi-asserted-by":"publisher","DOI":"10.1162\/coli.07-034-R2"},{"key":"e_1_3_5_3_1","doi-asserted-by":"publisher","DOI":"10.3390\/en13184769"},{"key":"e_1_3_5_4_1","unstructured":"Branco P. L. Torgo and R. Ribeiro (2015 may). A survey of predictive modelling under imbalanced distributions. Retrieved from http:\/\/arxiv.org\/abs\/1505.01658"},{"key":"e_1_3_5_5_1","first-page":"221","volume-title":"International Society for Music Information Retrieval Conference","author":"Chuan C.","year":"2011","unstructured":"Chuan, C. (2011). A comparison of statistical and rule-based models for style-specific harmonization. In International Society for Music Information Retrieval Conference, Miami, Florida, USA, (pp. 221\u201326)."},{"key":"e_1_3_5_6_1","doi-asserted-by":"publisher","DOI":"10.1177\/001316446002000104"},{"key":"e_1_3_5_7_1","volume-title":"Music encoding conference.","author":"Costa L. F. P.","year":"2022","unstructured":"Costa, L. F. P., A. Y. C. Ogoshi, M. S. R. Martins, and H. V. Siqueira (2022). Developing a measure image and applying to deep learning. In Music encoding conference. Halifax, CA: Music Encoding Initiative."},{"key":"e_1_3_5_8_1","volume-title":"Mathematical methods of statistics","author":"Cramer H.","year":"1962","unstructured":"Cramer, H. 1962. Mathematical methods of statistics. 1st ed. Bombay: Asia Publishing House.","edition":"1"},{"key":"e_1_3_5_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/LA-CCI.2016.7885699"},{"key":"e_1_3_5_10_1","first-page":"34","volume-title":"AAAI conference on artificial intelligence","author":"Dong H. -W.","year":"2017","unstructured":"Dong, H. -W., W. -Y. Hsiao, L. -C. Yang, and Y. -H. Yang (2017). MuseGAN: Multi-track sequential generative adversarial networks for symbolic music generation and accompaniment. In AAAI conference on artificial intelligence, San Francisco, California, USA, (pp. 34\u201341)."},{"key":"e_1_3_5_11_1","doi-asserted-by":"publisher","DOI":"10.2307\/3680335"},{"key":"e_1_3_5_12_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1937.10503522"},{"key":"e_1_3_5_13_1","unstructured":"G\u00f3mez R. (2018). Understanding Categorical Cross-Entropy Loss Binary Cross-Entropy Loss Softmax Loss Logistic Loss Focal Loss and all those confusing names. Retrieved 2021-11-02 from https:\/\/gombru.github.io\/2018\/05\/23\/cross entropy loss\/"},{"key":"e_1_3_5_14_1","volume-title":"Neural Networks and learning machines","author":"Haykin S.","year":"2008","unstructured":"Haykin, S. 2008. Neural Networks and learning machines. 3rd ed. Hamilton, ON: Prentice Hall.","edition":"3"},{"key":"e_1_3_5_15_1","first-page":"473","volume-title":"Proceedings of the 9th international conference on neural information processing systems","author":"Hochreiter S.","year":"1996","unstructured":"Hochreiter, S., and J. Schmidhuber (1996). Lstm can solve hard long time lag problems. In Proceedings of the 9th international conference on neural information processing systems (p. 473\u201379). Cambridge, MA, USA: MIT Press."},{"key":"e_1_3_5_16_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_3_5_17_1","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1606.04930"},{"key":"e_1_3_5_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2005.12.126"},{"key":"e_1_3_5_20_1","doi-asserted-by":"publisher","DOI":"10.3390\/su12072621"},{"key":"e_1_3_5_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/2505341.2505343"},{"key":"e_1_3_5_22_1","first-page":"621","volume-title":"International society for music information retrieval conference","author":"Lim H.","year":"2017","unstructured":"Lim, H., and K. Lee (2017). Chord generation from symbolic melody using BLSTM networks. In International society for music information retrieval conference, Suzhou, China, (pp. 621\u201327)."},{"key":"e_1_3_5_23_1","unstructured":"Lim H. S. Rhyu and K. Lee (2017). CSV Leadsheet Database. Retrieved 2019-06-08 from http:\/\/marg.snu.ac.kr\/chordgeneration\/"},{"key":"e_1_3_5_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2018.00114"},{"key":"e_1_3_5_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/3PGCIC.2010.76"},{"key":"e_1_3_5_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3050437"},{"key":"e_1_3_5_28_1","doi-asserted-by":"publisher","DOI":"10.3390\/en15041252"},{"key":"e_1_3_5_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3155467"},{"key":"e_1_3_5_31_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2020.103910"},{"key":"e_1_3_5_32_1","volume-title":"Harmony in Context","author":"Roig-Francol\u00ed M.","year":"2010","unstructured":"Roig-Francol\u00ed, M. 2010. Harmony in Context. 2nd ed. Cincinnati, OH: McGraw-Hill.","edition":"2"},{"key":"e_1_3_5_33_1","volume-title":"Theory of Harmony","author":"Schoenberg A.","year":"1978","unstructured":"Schoenberg, A. 1978. Theory of Harmony. 1st ed. Berkeley, CA: University of California Press.","edition":"1"},{"key":"e_1_3_5_34_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-32639-4_28"},{"key":"e_1_3_5_35_1","doi-asserted-by":"publisher","DOI":"10.21528\/LNLM-vol10-no3-art5"},{"issue":"1","key":"e_1_3_5_36_1","first-page":"41","article-title":"Performance comparison of feedforward neural networks applied to streamflow series forecasting","volume":"10","author":"Siqueira H.","year":"2019","unstructured":"Siqueira, H., and I. Luna. 2019. Performance comparison of feedforward neural networks applied to streamflow series forecasting. Mathematics in Engineering Science and Aerospace 10 (1):41\u201353.","journal-title":"Mathematics in Engineering Science and Aerospace"},{"key":"e_1_3_5_37_1","doi-asserted-by":"publisher","DOI":"10.3390\/en13164236"},{"key":"e_1_3_5_38_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.envpol.2020.115920"},{"key":"e_1_3_5_39_1","doi-asserted-by":"publisher","DOI":"10.4324\/9780203380000"},{"key":"e_1_3_5_40_1","first-page":"1625","volume-title":"International joint conference on neural networks","volume":"2","author":"Wichard J. D.","year":"2004","unstructured":"Wichard, J. D., and M. Ogorzalek (2004). Time series prediction with ensemble models. In International joint conference on neural networks, Shenzhen, China, (Vol. 2, pp. 1625\u201330). IEEE."},{"key":"e_1_3_5_41_1","first-page":"10","article-title":"Evolutionary methods for musical composition","volume":"2","author":"Wiggins G.","year":"1998","unstructured":"Wiggins, G., G. Papadopoulos, and S. Phon-Amnuaisuk. 1998. Evolutionary methods for musical composition. International Journal of Computing Anticipatory Systems 2:10\u201314.","journal-title":"International Journal of Computing Anticipatory Systems"},{"key":"e_1_3_5_42_1","unstructured":"Yao K.N.A.I.N. T. Cohn K. Vylomova K. Duh and C. Dyer (2015). Depth-gated LSTM. CoRR abs\/1508.03790 <publisher-name\/>. Retrieved from http:\/\/arxiv.org\/abs\/1508.03790"},{"key":"e_1_3_5_43_1","unstructured":"Yeh Y. -C. W. -Y. Hsiao S. Fukayama T. Kitahara B. Genchel H. -M. Liu H. -W. Dong Y. Chen T. Leong and Y. -H. Yang (2020). Automatic melody harmonization with triad chords: A comparative study. arXiv. Retrieved from https:\/\/arxiv.org\/abs\/2001.02360"}],"container-title":["Applied Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/08839514.2023.2185849","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,8]],"date-time":"2024-04-08T09:12:58Z","timestamp":1712567578000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/08839514.2023.2185849"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,11]]},"references-count":39,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2023,12,31]]}},"alternative-id":["10.1080\/08839514.2023.2185849"],"URL":"https:\/\/doi.org\/10.1080\/08839514.2023.2185849","relation":{},"ISSN":["0883-9514","1087-6545"],"issn-type":[{"value":"0883-9514","type":"print"},{"value":"1087-6545","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,3,11]]},"assertion":[{"value":"The publishing and review policy for this title is described in its Aims & Scope.","order":1,"name":"peerreview_statement","label":"Peer Review Statement"},{"value":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=uaai20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=uaai20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2023-03-11","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"2185849"}}