Research Summary

Research Subjects

• Music Information Science
• Drone
• Drug discovery

Research Subjects

• Music Information Science
• Drone
• Drug discovery

Selected Publications

Papers with an asterisk(*) are based on research conducted outside of RIKEN.

• 1.Hamanaka, M., Hirata, K., and Tojo, S.:
  "deepGTTM-III: Simultaneous Learning of Grouping and Metrical Structures"
  13th International Symposium on Computer Music Multidisciplinary Research (CMMR2017), 2017.
• 2.Hamanaka, M., Hirata, K., and Tojo, S.:
  "Polyphonic Music Analysis Database based on GTTM"
  2nd Conference on Computer Simulation of Musical Creativity (CSMC2017), 2017.
• 3.*Hamanaka, M., Taneishi, K., Iwata, H., Ye, J., Pei, J., Hou, J., and Okuno, Y.:
  "CGBVS-DNN: Prediction of Compound-protein Interactions Based on Deep Learning"
  Molecular Informatics, Volume 36, Issue 1-2, 2017.
• 4.*Hamanaka, M., Hirata, K., and Tojo, S.:
  "Implementing Methods for Analyzing Music Based on Lerdahl and Jackendoff’s Generative Theory of Tonal Music"
  In Computational Music Analysis, David Meredith (Ed.), pp.221-249, Springer, 2016.
• 5.*Hamanaka, M., Hirata, K., and Tojo, S.:
  "deepGTTM-II: Automatic Generation of Metrical Structure based on Deep Learning Technique"
  13th Sound and Music Conference (SMC2016), pp.221-249, 2016.
• 6.*Hamanaka, M., Hirata, K., and Tojo, S.:
  "deepGTTM-I: Local Boundaries Analyzer based on Deep Learning Technique"
  13th International Symposium on Computer Music Multidisciplinary Research (CMMR2016), pp.8-20, 2016.
• 7.*Hamanaka, M., Taneishi, K., Iwata, H., and Okuno, Y.:
  "Prediction of Compound-Protein Interactions based on Deep Learning"
  Proceeding of The 6th French-Japanese Workshop on Computational Methods in Chemistry, March 2016.
• 8.*Hamanaka, M., Hirata, K., and Tojo, S.:
  "Sigma GTTM III: Learning based Time-span Tree Generator based on PCFG"
  Proceedings of The 11th International Symposium on Computer Music Multidisciplinary Research (CMMR 2015), pp.303-317, 2015.
• 9.*Hamanaka, M., Hirata, K., and Tojo, S.:
  "Structural Similarity based on Time-span Sub-trees"
  Proceedings of The 5th International Conference on Mathematics and Computation in Music (MCM2015), pp. 187-192, 2015.
• 10.*Hamanaka, M., Hirata, K., and Tojo, S.:
  "Musical Structural Analysis Database Based on GTTM"
  Proceedings of the 15^th International Society for Music Information Retrieval Conference (ISMIR 2014), pp.325-330, 2014.

Related Links

Lab Members

Contact Information