MARIA PANTELI
Queen Mary University of London
PhD Researcher

See also my Google Scholar profile.

Journal Articles (peer-reviewed)
  • Panteli, M., Benetos, E., Dixon, S. (2017). A computational study on outliers in world music. PLOS ONE, 12(12): e0189399, https://doi.org/10.1371/journal.pone.0189399.
  • Panteli, M., Benetos, E., Dixon, S. (2017). A review of manual and computational approaches for the study of world music corpora. Journal of New Music Research, https://doi.org/10.1080/09298215.2017.1418896.
  • Panteli, M., Rocha, B., Bogaards, N., & Honingh, A. (2016). A model for rhythm and timbre similarity in electronic dance music. Musicae Scientiae, 21(3), 338-361. [pdf]
  • Honingh, A., Panteli, M., Brockmeier, T., López Mejía, D. I., & Sadakata, M. (2015). Perception of timbre and rhythm similarity in Electronic Dance Music. Journal of New Music Research, 44(4), 373-390. [pdf]
  • Panteli, M., & Purwins, H. (2013). A quantitative comparison of Chrysanthine theory and performance practice of scale tuning, steps, and prominence of the Octoechos in Byzantine chant. Journal of New Music Research, 42(3), 205-221. [pdf]
Conference Papers (peer-reviewed)
  • Kedyte, V., Panteli, M., Weyde, T., & Dixon, S. (2017). Geographical orogin prediction of folk music recordings from the United Kingdom. In Proceedings of the International Society for Music Information Retrieval Conference (pp. 664-670). [pdf] [poster]
  • Panteli, M., Benetos, E., Dixon, S. (2017). Towards the characterization of singing styles in world music. In IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 636-640). [pdf] [poster] [code]
  • Panteli, M., Benetos, E., Dixon, S. (2016). Learning a feature space for similarity in world music. In 17th International Society for Music Information Retrieval Conference (pp. 538-544). [Best student paper award] [pdf] [slides] [code]
  • Panteli, M., Dixon, S. (2016). On the evaluation of rhythmic and melodic descriptors for music similarity. In 17th International Society for Music Information Retrieval Conference (pp. 468-474). [pdf] [poster] [code]
  • Panteli, M., Bogaards, N., & Honingh, A. (2014). Modeling rhythm similarity for Electronic Dance Music. In 15th International Society for Music Information Retrieval Conference (pp. 537-542). [pdf] [poster]
  • Panteli, M., & Hadjicostis, C. N. (2013). Intersection based decentralized diagnosis: Implementation and verification. In IEEE 52nd Annual Conference on Decision and Control (CDC) (pp. 6311-6316). [pdf]
  • Panteli, M., & Purwins, H. (2013). A computational comparison of theory and practice of scale intonation in Byzantine chant. In 14th International Society for Music Information Retrieval Conference (pp. 169-174). [pdf]
Extented abstracts
  • Kumar, A., Bittner, R. M., Montecchio, N., Jansson, A., Panteli, M., Humphrey, E. J., & Jehan, T. (2017). Learning a Large-Scale Vocal Similarity Embedding for Music. In Machine Learning for Music Discovery Workshop, International Conference on Machine Learning (ICML). [pdf]
  • Panteli, M. (2016). Automatic tagging in world music collections. In 11th Women in Machine Learning Workshop. [pdf] [poster]
  • Panteli, M., Benetos, E., Dixon, S. (2016). Automatic detection of outliers in world music collections. In 4th International Conference on Analytical Approaches to World Music. [pdf] [slides]
  • Leroi, A., Mauch, M., Savage, P., Benetos, E., Bello, J., Six, J., Panteli, M., Weyde, T. (2015). The deep history of music project. In 5th International Workshop On Folk Music Analysis (pp. 83-84). [pdf]
  • Panteli, M., Rocha, B., Bogaards, N., & Honingh, A. (2014). Development of a rhythm similarity model for Electronic Dance Music. In 53rd International Conference: Semantic Audio. [pdf] [poster]
Theses
  • Panteli, M. (2011). Pitch patterns of Cypriot folk music between Byzantine and Ottoman influence. Master thesis. Universitat Pompeu Fabra. [pdf]
  • Panteli, M. (2018). Computational analysis of world music corpora. PhD thesis. Queen Mary University of London. [pdf]