David Meredith

D.Phil.

Associate Professor, Department of Architecture, Design and Media Technology
Associate Professor, The Technical Faculty of IT and Design
Associate Professor, Section for Media Technology - Campus Aalborg
The Music Informatics and Cognition Group
AI for the People

https://orcid.org/0000-0002-9601-5017

Phone9940 8092, 9940 2671
Emaildave@create.aau.dk
Websitehttp://create.aau.dk/dave, http://personprofil.aau.dk/119171

Rendsburggade 14, 5-354
9000 Aalborg
Denmark

Research activity per year

If you made any changes in Pure these will be visible here soon.

Personal profile

Keywords

Computer Science
Machine Learning
Artificial Intelligence
Algorithms
Music
music information retrieval
computational music analysis
mathematical music theory
music technology

Fingerprint

The fingerprint consists of automatically generated concepts related to the associated persons. It is updated automatically, when new content is added.

1 Similar Profiles

Network

Dive into details by clicking on the dots.

1 Finished

Lrn2Cre8: Learning to Create
Meredith, D.
EU Seventh Framework Programme (FP7)
01/10/2013 → 30/09/2016
Project: Research

24 Article in proceeding
13 Journal article
7 Book chapter
7 Paper without publisher/journal
More

OPTISIA: An Evolutionary Approach to Parameter Optimisation in a Family of Point-Set Pattern-Discovery Algorithms
Schmuck, V. & Meredith, D., 2020, Machine Learning and Knowledge Discovery in Databases: International Workshops of ECML PKDD 2019 Würzburg, Germany, September 16–20, 2019 Proceedings, Part II. Cellier, P. & Driessens, K. (eds.). Cham, Switzerland: Springer, Vol. 1168. p. 509-516 8 p. (Communications in Computer and Information Science, Vol. 1168).
Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
RECURSIA-RRT: Recursive translatable point-set pattern discovery with removal of redundant translators
Meredith, D., 2020, Machin Learning and Knowledge Discovery in Databases: International Workshops of ECML PKDD 2019 Würzburg, Germany, September 16–20, 2019 Proceedings, Part II. Cellier, P. & Driessens, K. (eds.). Cham, Switzerland: Springer, Vol. 1168. p. 485-493 9 p. (Communications in Computer and Information Science, Vol. 1168).
Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
Sequence generative adversarial networks for music generation with maximum entropy reinforcement learning
Bjare, M. & Meredith, D., 2020, (Accepted/In press) The 2020 Joint Conference on AI Music Creativity (CSMC + MuMe 2020). Sturm, B. (ed.). Stockholm, Sweden
Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
Backtracking search heuristics for solving the all-partition array problem
Bemman, B. & Meredith, D., 2019, International Society for Music Information Retrieval Conference. International Society for Music Information Retrieval, p. 391-397 7 p. 46
Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

Open Access
File

33 Downloads (Pure)
Music analysis and data compression
Meredith, D., 26 Sep 2019, Oxford Handbook of Sound and Imagination. Grimshaw-Aagaard, M., Walther-Hansen, M. & Knakkegaard, M. (eds.). Oxford University Press, Vol. 2.
Research output: Contribution to book/anthology/report/conference proceeding › Book chapter › Research › peer-review

1 Talks and presentations in private or public companies

Geometric, compression-based pattern discovery in music
David Meredith (Lecturer)
18 Sep 2016 → 22 Sep 2016
Activity: Talks and presentations › Talks and presentations in private or public companies

File

Forskning i musiktemaer
Olivier Lartillot, David Meredith, Brian Bemman & Gissel Velarde
21/12/2014
1 item of Media coverage
Press/Media: Press / Media