WANT A PROFILE LIKE THIS?
Create my FREE Plan Or learn about other options
Dan Stowell
PeerJ Editor, Author & Reviewer
1,515 Points

Contributions by role

Author 405
Reviewer 75
Editor 1,035

Contributions by subject area

Ecology
Computational Science
Bioinformatics
Computational Biology
Data Mining and Machine Learning
Databases
Multimedia
Animal Behavior
Climate Change Biology
Entomology
Zoology
Computer Vision
Neural Networks
Environmental Contamination and Remediation
Artificial Intelligence
Mobile and Ubiquitous Computing
Graphics
Visual Analytics
Algorithms and Analysis of Algorithms
Natural Language and Speech
Spatial and Geographic Information Systems
Human-Computer Interaction
Autonomous Systems

Dan Stowell

PeerJ Editor, Author & Reviewer

Summary

EPSRC Research Fellowship in "Machine listening for soundscapes with multiple birds". Specialist in machine learning for audio: birdsong, music, everyday sound, natural sound.

Biosphere Interactions Computational Science Data Mining & Machine Learning Ecology Multimedia Neural Networks

Editorial Board Member

PeerJ Computer Science

Past or current institution affiliations

University of Tilburg
Queen Mary University of London

Work details

Associate Professor of AI & Biodiversity

University of Tilburg
Cognitive Science and AI

Associate Professor of AI & Biodiversity

Naturalis Biodiversity Center

Websites

  • www.mcld.co.uk

PeerJ Contributions

  • Articles 3
  • Edited 6
March 21, 2022
Computational bioacoustics with deep learning: a review and roadmap
Dan Stowell
https://doi.org/10.7717/peerj.13152 PubMed 35341043
October 7, 2019
NIPS4Bplus: a richly annotated birdsong audio dataset
Veronica Morfi, Yves Bas, Hanna Pamuła, Hervé Glotin, Dan Stowell
https://doi.org/10.7717/peerj-cs.223
July 17, 2014
Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning
Dan Stowell, Mark D. Plumbley
https://doi.org/10.7717/peerj.488 PubMed 25083350

Academic Editor on

June 19, 2023
A transformers-based approach for fine and coarse-grained classification and generation of MIDI songs and soundtracks
Simone Angioni, Nathan Lincoln-DeCusatis, Andrea Ibba, Diego Reforgiato Recupero
https://doi.org/10.7717/peerj-cs.1410
May 15, 2023
Automated composition of Galician Xota—tuning RNN-based composers for specific musical styles using deep Q-learning
Rodrigo Mira, Eduardo Coutinho, Emilia Parada-Cabaleiro, Björn W. Schuller
https://doi.org/10.7717/peerj-cs.1356
May 9, 2023
A dynamic graph Hawkes process based on linear complexity self-attention for dynamic recommender systems
Zhiwen Hou, Xiaojun Lv, Yuchen Zhou, Lingbin Bu, Qiming Ma, Yifan Wang, Fanliang Bu
https://doi.org/10.7717/peerj-cs.1368
August 19, 2021
Estimation of deracinated trees area in temperate forest with satellite images employing machine learning methods
Hideyuki Doi, Tomoki Hirai
https://doi.org/10.7717/peerj-cs.648
July 8, 2019
Sample-level sound synthesis with recurrent neural networks and conceptors
Chris Kiefer
https://doi.org/10.7717/peerj-cs.205
August 19, 2015
Auditory interfaces in automated driving: an international survey
Pavlo Bazilinskyy, Joost de Winter
https://doi.org/10.7717/peerj-cs.13