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Mark B. Sandler

Queen Mary University of London

28 papers hereh-index 4810.3k citations487 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author25

Across the 27 of 28 papers where every author was matched, so the position is known.

fields
  • cs.SD14
  • cs.AI3
  • cs.MM3
  • cs.CV2
  • cs.LG2
  • cs.DS1
affiliations
  • Queen Mary University of London

identity via Semantic Scholar / OpenAlex

activity
20152022
most citedAutomatic tagging using deep convolutional neural networks

224 citations · 650 across the 25 of their papers we have counts for

collaborators
Showing 2020Show all

2 papers · 1 filter

eess.AS2020★ 3 cited

A New Dataset for Amateur Vocal Percussion Analysis

Alejandro Delgado, SKoT McDonald, Ning Xu +1

The imitation of percussive instruments via the human voice is a natural way for us to communicate rhythmic ideas and, for this reason, it attracts the interest of music makers. Sp…

cs.AI2020

A Critical Look at the Applicability of Markov Logic Networks for Music Signal Analysis

Johan Pauwels, György Fazekas, Mark B. Sandler

In recent years, Markov logic networks (MLNs) have been proposed as a potentially useful paradigm for music signal analysis. Because all hidden Markov models can be reformulated as…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.