An Evolutionary Multi-Objective Feature Selection Approach for Detecting Music Segment Boundaries of Specific Types

Vatolkin I, Ostermann F, Müller M (2021)

Publication Type: Conference contribution

Publication year: 2021

Publisher: ASSOC COMPUTING MACHINERY

City/Town: NEW YORK

Pages Range: 1061-1069

Conference Proceedings Title: PROCEEDINGS OF THE 2021 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO'21)

Event location: , ELECTR NETWORK

DOI: 10.1145/3449639.3459374

Authors with CRIS profile

Meinard Müller International Audio Laboratories Erlangen (AudioLabs)

Involved external institutions

Technische Universität Dortmund DE Germany (DE)

How to cite

APA:

Vatolkin, I., Ostermann, F., & Müller, M. (2021). An Evolutionary Multi-Objective Feature Selection Approach for Detecting Music Segment Boundaries of Specific Types. In PROCEEDINGS OF THE 2021 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO'21) (pp. 1061-1069). , ELECTR NETWORK: NEW YORK: ASSOC COMPUTING MACHINERY.

MLA:

Vatolkin, Igor, Fabian Ostermann, and Meinard Müller. "An Evolutionary Multi-Objective Feature Selection Approach for Detecting Music Segment Boundaries of Specific Types." Proceedings of the 2nd Genetic and Evolutionary Computation Conference (GECCO), , ELECTR NETWORK NEW YORK: ASSOC COMPUTING MACHINERY, 2021. 1061-1069.

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