Staff profile

Summary

Brian Bemman is an assistant professor in computer science specializing in applications of artificial intelligence to digital humanities and health. 

• Artificial Intelligence; Computational Creativity; Algorithms; Music Information Retrieval

Conference Paper

• Inner Metric Analysis as a Measure of Rhythmic Syncopation
  
  Bemman, B., & Christensen, J. (in press). Inner Metric Analysis as a Measure of Rhythmic Syncopation. In Proceedings of the 25th International Society for Music Information Retrieval Conference.
• Backtracking search heuristics for solving the all-partition array problem
  
  Bemman, B., & Meredith, D. (2019, November 4). Backtracking search heuristics for solving the all-partition array problem. Presented at ISMIR 2019: International Society for Music Information Retrieval Conference, Delft University of Technology, Delft, Netherlands.

Journal Article

• Ultrasonics and urban greening: an exploratory study on ultrasound presence in urban spaces
  
  Grimshaw-Aagaard, M., & Bemman, B. (2024). Ultrasonics and urban greening: an exploratory study on ultrasound presence in urban spaces. Personal and Ubiquitous Computing, 28(5), 677-692. https://doi.org/10.1007/s00779-024-01798-5
• Inter-rater Agreement in Classifying Music According to a Guided Imagery and Music Taxonomy
  
  Bemman, B., Bertelsen, L. R., Wärja, M., & Bonde, L. O. (2023). Inter-rater Agreement in Classifying Music According to a Guided Imagery and Music Taxonomy. Journal of Music Therapy, 60(3), 282–313. https://doi.org/10.1093/jmt/thad014
• Machine learning in general practice: scoping review of administrative task support and automation
  
  Sørensen, N. L., Bemman, B., Jensen, M. B., Moeslund, T. B., & Thomsen, J. L. (2023). Machine learning in general practice: scoping review of administrative task support and automation. BMC Primary Care, 24, Article 14. https://doi.org/10.1186/s12875-023-01969-y