Some statistical properties of tonality, 1650– 1900 (Doctoral dissertation). Investigating style evolution of Western classical music: A computational approach. Weiss, C., Mauch, M., Dixon, S., & Müller, M.Computational methods for tonality- based style analysis of classical music audio recordings (Doctoral dissertation). Boca Raton, FL: CRC Press, Francis & Taylor Group. Multivariate analysis for the behavioral sciences. Chapter 7: The Chamber Music of Mendelssohn. New York, Oxford: Oxford University Press. Five-volume edition, Oxford, New York: Oxford University Press. Domenico Scarlatti and the Florentine piano. The Journal of Interdisciplinary History., 36(4), 629–648. The politics and aesthetics of operatic modernism. Journal of General Microbiology, 54, 1–11. Statistical tests for ‘related records’ search results. Empirical Studies of the Arts, 33(1), 61–94. Similarity indices for 500 classical music composers: Inferences from personal musical influences and ‘ecological’ measures. Composer similarities through ‘the Classical Music Navigator’: Similarity inference from composer influences. Logical and statistical derivation of the regions. Journal of the American Musicological Society, 33(1), 42–87. Journal of Musicological Research, 9(2–3), 89–108. Annals of Library and Information Studies, 30(2), 78–823. A mathematical extension of the idea of bibliographic coupling and its applications. Foundations and Trends in Information Retrieval, 8(2–3), 127–261. Music information retrieval: recent developments and applications. University of California Press, Oakland, CA. Modern composition and culture since 1989. Proceedings of the National Academy of Sciences, 110(24), 10034–10038. Perceptual basis of evolving Western musical styles. The binomial and multinomial distributions. thesis, Rostock University of Music and Theatre. Musical Romanticism and the twentieth century. In Proceedings of the international symposium on music information retrieval. Audio-based music similarity and retrieval: Combining a spectral similarity model with information extracted from fluctuation patterns. In Proceedings of the 1st international conference on web delivering of music, Florence, Italy. Music data mining for electronic music distribution. Pachet, F.,Westerman, G., & Laigre, D.Foundations and Trends in Information Retrieval, 1(1), 1–90. The evolution of popular music: USA 1960–2010. Mauch, M., MacCallum, R., Levy, M., & Leroi, A.Bulletin International de l’Académie Polonaise des Sciences et des Lettres. Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis. de la Societé Vaudoise de la Science Naturelle, 37, 547–579. Étude comparative de la distribution florale dans une portion des Alpes et du Jura. A concise history of modern music: From Debussy to Boulez. The classical nature of Schubert’s lieder. A new methodological approach to bibliographic coupling and its application to the national, regional, and institutional level. The statistical properties of random bitstreams and the sampling distribution of cosine similarity. Visualizing music similarity: Clustering and mapping 500 classical music composers. Western classical music development: A statistical analysis of composers similarity, differentiation and evolution. In MULTIMEDIA ’99 Proceedings of the seventh ACM international conference on Multimedia (Part 1) (pp. Visualising music and audio using self-similarity. Proceedings of the Royal Musical Association, 110(1), 79–90. Weber’s Freischütz: conception and misconceptions. Measures of the amount of ecologic association between species. de Saint-Foix, G., & Herter Norton, M.Journal of the History of Ideas., 71(1), 1–37. Beethoven the Romantic: How ETA Hoffmann got it right. In Proceedings of the 9th international conference on music information retrieval, Philadelphia, PA, USA. Uncovering affinity of artists to multiple genres from social behaviour data. Baccigalupo, C., Plaza, E., & Donaldson, J.XLSTAT statistical and data analysis solution.
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