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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 cs.CVShow all

2 papers · 1 filter

cs.CV2017★ 73 cited

A Tutorial on Deep Learning for Music Information Retrieval

Keunwoo Choi, György Fazekas, Kyunghyun Cho +1

Following their success in Computer Vision and other areas, deep learning techniques have recently become widely adopted in Music Information Retrieval (MIR) research. However, the…

cs.CV2017★ 125 cited

Transfer learning for music classification and regression tasks

Keunwoo Choi, György Fazekas, Mark Sandler +1

In this paper, we present a transfer learning approach for music classification and regression tasks. We propose to use a pre-trained convnet feature, a concatenated feature vector…

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