{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T14:20:42Z","timestamp":1742998842959,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031164736"},{"type":"electronic","value":"9783031164743"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-16474-3_34","type":"book-chapter","created":{"date-parts":[[2022,9,12]],"date-time":"2022-09-12T14:16:28Z","timestamp":1662992188000},"page":"415-426","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["PAUL: An Algorithmic Composer for\u00a0Classical Piano Music Supporting Multiple Complexity Levels"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0616-3081","authenticated-orcid":false,"given":"Felix","family":"Sch\u00f6n","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5673-2460","authenticated-orcid":false,"given":"Hans","family":"Tompits","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,9,13]]},"reference":[{"issue":"1","key":"34_CR1","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1162\/106454602753694774","volume":"8","author":"E Bilotta","year":"2002","unstructured":"Bilotta, E., Miranda, E.R., Pantano, P.S., Todd, P.M.: Artificial life models for musical applications: workshop report. Artif. Life 8(1), 83\u201386 (2002). https:\/\/doi.org\/10.1162\/106454602753694774","journal-title":"Artif. Life"},{"issue":"2\u20133","key":"34_CR2","doi-asserted-by":"publisher","first-page":"397","DOI":"10.1017\/S1471068410000530","volume":"11","author":"G Boenn","year":"2011","unstructured":"Boenn, G., Brain, M., Vos, M.D., Fitch, J.P.: Automatic music composition using answer set programming. Theory Pract. Logic Program. 11(2\u20133), 397\u2013427 (2011). https:\/\/doi.org\/10.1017\/S1471068410000530","journal-title":"Theory Pract. Logic Program."},{"key":"34_CR3","unstructured":"Boone, B., Schonbrun, M.: Music Theory 101. Adams Media (2017)"},{"issue":"4","key":"34_CR4","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1162\/014892699560001","volume":"23","author":"AR Burton","year":"1999","unstructured":"Burton, A.R., Vladimirova, T.: Generation of musical sequences with genetic techniques. Comput. Music J. 23(4), 59\u201373 (1999). https:\/\/doi.org\/10.1162\/014892699560001","journal-title":"Comput. Music J."},{"issue":"2","key":"34_CR5","doi-asserted-by":"publisher","first-page":"69","DOI":"10.2307\/3680717","volume":"16","author":"D Cope","year":"1992","unstructured":"Cope, D.: Computer modeling of musical intelligence in EMI. Comput. Music J. 16(2), 69\u201383 (1992). https:\/\/doi.org\/10.2307\/3680717","journal-title":"Comput. Music J."},{"key":"34_CR6","doi-asserted-by":"crossref","unstructured":"Dong, H., Hsiao, W., Yang, L., Yang, Y.: Musegan: multi-track sequential generative adversarial networks for symbolic music generation and accompaniment. In: McIlraith, S.A., Weinberger, K.Q. (eds.) Proceedings of AAAI, 2018, pp. 34\u201341. AAAI Press (2018)","DOI":"10.1609\/aaai.v32i1.11312"},{"key":"34_CR7","doi-asserted-by":"publisher","unstructured":"Eck, D., Schmidhuber, J.: Finding temporal structure in music: blues improvisation with LSTM recurrent networks. In: Bourlard, H., Adali, T., Bengio, S., Larsen, J., Douglas, S. (eds.) Proceedings of NNSP 2002, pp. 747\u2013756. IEEE Press (2002). https:\/\/doi.org\/10.1109\/NNSP.2002.1030094","DOI":"10.1109\/NNSP.2002.1030094"},{"issue":"3","key":"34_CR8","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1162\/COMJ\\_a_00006","volume":"34","author":"J Gillick","year":"2010","unstructured":"Gillick, J., Tang, K., Keller, R.M.: Machine learning of jazz grammars. Comput. Music J. 34(3), 56\u201366 (2010). https:\/\/doi.org\/10.1162\/COMJ_a_00006","journal-title":"Comput. Music J."},{"key":"34_CR9","series-title":"Adaptive Computation and Machine Learning","volume-title":"Deep Learning","author":"IJ Goodfellow","year":"2016","unstructured":"Goodfellow, I.J., Bengio, Y., Courville, A.C.: Deep Learning. Adaptive Computation and Machine Learning, MIT Press, Cambridge (2016)"},{"key":"34_CR10","unstructured":"Gottstein, B.: Gottfried Michael Koenig: Die Logik der Maschine. In: Gottstein, B. (ed.) Musik als Ars Scientia. Die Edgard-Var\u00e8se-Gastprofessoren des DAAD an der TU Berlin 2000\u20132006. Pfau Verlag, Saarbr\u00fccken (2006)"},{"issue":"8","key":"34_CR11","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997). https:\/\/doi.org\/10.1162\/neco.1997.9.8.1735","journal-title":"Neural Comput."},{"key":"34_CR12","unstructured":"Huang, C.A., et al.: Music transformer: generating music with long-term structure. In: Proceedings of ICLR 2019. OpenReview.net (2019)"},{"key":"34_CR13","unstructured":"Kitani, K.M., Koike, H.: Improvgenerator: online grammatical induction for on-the-fly improvisation accompaniment. In: Beilharz, K., Johnston, A., Ferguson, S., Chen, A.Y.C. (eds.) Proceedings of NIME 2010, pp. 469\u2013472. nime.org (2010)"},{"volume-title":"The Oxford Handbook of Algorithmic Music","year":"2018","key":"34_CR14","unstructured":"McLean, A., Dean, R.T. (eds.): The Oxford Handbook of Algorithmic Music. Oxford University Press, Oxford (2018)"},{"key":"34_CR15","unstructured":"MIDI manufacturers association incorporated: the complete MIDI 1.0 detailed specification. The MIDI Manufacturers Association (1983)"},{"key":"34_CR16","unstructured":"Opolka, S., Obermeier, P., Schaub, T.: Automatic genre-dependent composition using answer set programming. In: Proceedings of ISEA 2015, pp. 627\u2013632. ISEA International (2015)"},{"key":"34_CR17","unstructured":"Payne, C.M.: MuseNet (2019). https:\/\/openai.com\/blog\/musenet"},{"key":"34_CR18","unstructured":"Roberts, A., Engel, J.H., Raffel, C., Hawthorne, C., Eck, D.: A hierarchical latent vector model for learning long-term structure in music. In: Dy, J.G., Krause, A. (eds.) Proceedings of ICML 2018. Proceedings of Machine Learning Research, vol. 80, pp. 4361\u20134370. PMLR (2018)"},{"key":"34_CR19","unstructured":"Sch\u00f6n, F.: PAUL An algorithmic composer of two-track piano pieces using recurrent neural networks. Bachelor\u2019s Thesis, Technische Universit\u00e4t Wien, Institute of Information Systems, E192\u201303 (2019)"},{"key":"34_CR20","unstructured":"Sutskever, I., Vinyals, O., Le, Q.V.: Sequence to sequence learning with neural networks. In: Ghahramani, Z., Welling, M., Cortes, C., Lawrence, N.D., Weinberger, K.Q. (eds.) Proceedings of NIPS 2014, pp. 3104\u20133112. Curran Associates, Inc. (2014)"},{"key":"34_CR21","unstructured":"Vaswani, A., et al.: Attention is all you need. In: Guyon, I., von Luxburg, U., Bengio, S., Wallach, H.M., Fergus, R., Vishwanathan, S.V.N., Garnett, R. (eds.) Proceedings of NIPS 2017, pp. 5998\u20136008. Curran Associates, Inc. (2017)"}],"container-title":["Lecture Notes in Computer Science","Progress in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-16474-3_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,12]],"date-time":"2022-09-12T14:21:55Z","timestamp":1662992515000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-16474-3_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031164736","9783031164743"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-16474-3_34","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"13 September 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EPIA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"EPIA Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lisbon","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 August 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"epia2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/epia2022.inesc-id.pt\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"85","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"64","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"75% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3,7","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0,9","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}