Adaptive whitening for Improved Real-Time audio onset Detection. - Dan Stowell; Mark D. Plumbley (ICMC, 2007)

Discourse Analysis Evaluation Method for Expressive Musical Interfaces. - Dan Stowell; Mark D. Plumbley; Nick Bryan-Kinns (NIME, 2008)

Evaluation of live human-computer music-making: Quantitative and qualitative approaches. - Dan Stowell; Andrew Robertson; Nick Bryan-Kinns; Mark D. Plumbley (Int. J. Hum. Comput. Stud., 2009)

Fast Multidimensional Entropy Estimation by k -d Partitioning. - Dan Stowell; Mark D. Plumbley (IEEE Signal Process. Lett., 2009)

Cross-associating unlabelled timbre distributions to create expressive musical mappings. - Dan Stowell; Mark D. Plumbley (WAPA, 2010)

Scheduling and composing with Risset eternal accelerando rhythms. - Dan Stowell (ICMC, 2011)

MIR in School? Lessons from Ethnographic Observation of Secondary School Music Classes. - Dan Stowell; Simon Dixon (ISMIR, 2011)

Maximum a Posteriori Estimation of Piecewise Arcs in Tempo Time-Series. - Dan Stowell; Elaine Chew (CMMR, 2012)

Framewise heterodyne chirp analysis of birdsong. - Dan Stowell; Mark D. Plumbley (EUSIPCO, 2012)

Live Music-Making: A Rich Open Task Requires a Rich Open Interface. - Dan Stowell; Alex McLean (Music and Human-Computer Interaction, 2013)

A database and challenge for acoustic scene classification and event detection. - Dimitrios Giannoulis; Dan Stowell; Emmanouil Benetos; Mathias Rossignol; Mathieu Lagrange; Mark D. Plumbley (EUSIPCO, 2013)

Improved multiple birdsong tracking with distribution derivative method and Markov renewal process clustering. - Dan Stowell; Saso Musevic; Jordi Bonada; Mark D. Plumbley (ICASSP, 2013)

Detection and classification of acoustic scenes and events: An IEEE AASP challenge. - Dimitrios Giannoulis; Emmanouil Benetos; Dan Stowell; Mathias Rossignol; Mathieu Lagrange; Mark D. Plumbley (WASPAA, 2013)

Large-scale analysis of frequency modulation in birdsong databases. - Dan Stowell; Mark D. Plumbley (CoRR, 2013)

Segregating event streams and noise with a Markov renewal process model. - Dan Stowell; Mark D. Plumbley (J. Mach. Learn. Res., 2013)

Audio-only Bird Classification Using Unsupervised Feature Learning. - Dan Stowell; Mark D. Plumbley (CLEF (Working Notes), 2014)

An Open Dataset for Research on Audio Field Recording Archives: freefield1010. - Dan Stowell; Mark D. Plumbley (Semantic Audio, 2014)

Acoustic Scene Classification. - Daniele Barchiesi; Dimitrios Giannoulis; Dan Stowell; Mark D. Plumbley (CoRR, 2014)

Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning. - Dan Stowell; Mark D. Plumbley (CoRR, 2014)

BirdCLEF 2015 Submission: Unsupervised Feature Learning from Audio. - Dan Stowell (CLEF (Working Notes), 2015)

Acoustic event detection for multiple overlapping similar sources. - Dan Stowell; David Clayton (WASPAA, 2015)

Denoising without access to clean data using a partitioned autoencoder. - Dan Stowell; Richard E. Turner (CoRR, 2015)

Acoustic Scene Classification: Classifying environments from the sounds they produce. - Daniele Barchiesi; Dimitrios Giannoulis; Dan Stowell; Mark D. Plumbley (IEEE Signal Process. Mag., 2015)

Detection and Classification of Acoustic Scenes and Events. - Dan Stowell; Dimitrios Giannoulis; Emmanouil Benetos; Mathieu Lagrange; Mark D. Plumbley (IEEE Trans. Multim., 2015)

Individual Identity in Songbirds: Signal Representations and Metric Learning for Locating the Information in Complex Corvid Calls. - Dan Stowell; Veronica Morfi; Lisa F. Gill (INTERSPEECH, 2016)

Gaussian processes for music audio modelling and content analysis. - Pablo A. Alvarado; Dan Stowell (MLSP, 2016)

Bird detection in audio: A survey and a challenge. - Dan Stowell; Mike Wood 001; Yannis Stylianou; Hervé Glotin (MLSP, 2016)

Detailed temporal structure of communication networks in groups of songbirds. - Dan Stowell; Lisa F. Gill; David Clayton (CoRR, 2016)

Deductive refinement of species labelling in weakly labelled birdsong recordings. - Veronica Morfi; Dan Stowell (ICASSP, 2017)

Efficient Learning of Harmonic Priors for Pitch Detection in Polyphonic Music. - Pablo A. Alvarado; Dan Stowell (CoRR, 2017)

On-Bird Sound Recordings: Automatic Acoustic Recognition of Activities and Contexts. - Dan Stowell; Emmanouil Benetos; Lisa F. Gill (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Data-efficient weakly supervised learning for low-resource audio event detection using deep learning. - Veronica Morfi; Dan Stowell (DCASE, 2018)

A Generative Model for Natural Sounds Based on Latent Force Modelling. - William J. Wilkinson; Joshua D. Reiss; Dan Stowell (LVA/ICA, 2018)

Does k Matter? k-NN Hubness Analysis for Kernel Additive Modelling Vocal Separation. - Delia Fano Yela; Dan Stowell; Mark B. Sandler (LVA/ICA, 2018)

Deep Learning for Audio Transcription on Low-Resource Datasets. - Veronica Morfi; Dan Stowell (CoRR, 2018)

Automatic acoustic detection of birds through deep learning: the first Bird Audio Detection challenge. - Dan Stowell; Yannis Stylianou; Mike Wood 001; Hanna Pamula; Hervé Glotin (CoRR, 2018)

Automatic acoustic identification of individual animals: Improving generalisation across species and recording conditions. - Dan Stowell; Tereza Petrusková; Martin Sálek; Pavel Linhart (CoRR, 2018)

Estimating & Mitigating the Impact of Acoustic Environments on Machine-to-Machine Signalling. - Amogh Matt; Dan Stowell (EUSIPCO, 2019)

Spectral Visibility Graphs: Application to Similarity of Harmonic Signals. - Delia Fano Yela; Dan Stowell; Mark B. Sandler (EUSIPCO, 2019)

Sparse Gaussian Process Audio Source Separation Using Spectrum Priors in the Time-domain. - Pablo A. Alvarado; Mauricio A. Álvarez; Dan Stowell (ICASSP, 2019)

Unifying Probabilistic Models for Time-frequency Analysis. - William J. Wilkinson; Michael Riis Andersen; Joshua D. Reiss; Dan Stowell; Arno Solin (ICASSP, 2019)

End-to-End Probabilistic Inference for Nonstationary Audio Analysis. - William J. Wilkinson; Michael Riis Andersen; Joshua D. Reiss; Dan Stowell; Arno Solin (ICML, 2019)

Visibility graphs for robust harmonic similarity measures between audio spectra. - Delia Fano Yela; Dan Stowell; Mark B. Sandler (CoRR, 2019)

Efficient On-line Computation of Visibility Graphs. - Delia Fano Yela; Florian Thalmann; Vincenzo Nicosia; Dan Stowell; Mark B. Sandler (CoRR, 2019)

NIPS4Bplus: a richly annotated birdsong audio dataset. - Veronica Morfi; Yves Bas; Hanna Pamula; Hervé Glotin; Dan Stowell (PeerJ Comput. Sci., 2019)

Efficient Bird Sound Detection on the Bela Embedded System. - Alexandru-Marius Solomes; Dan Stowell (ICASSP, 2020)

Short-term prediction of photovoltaic power generation using Gaussian process regression. - Yahya Al Lawati; Jack Kelly; Dan Stowell (CoRR, 2020)

Guitar Effects Recognition and Parameter Estimation with Convolutional Neural Networks. - Marco Comunità; Dan Stowell; Joshua D. Reiss (CoRR, 2020)

Few-Shot Bioacoustic Event Detection: A New Task at the DCASE 2021 Challenge. - Veronica Morfi; Inês Nolasco; Vincent Lostanlen; Shubhr Singh; Ariana Strandburg-Peshkin; Lisa F. Gill; Hanna Pamula; David Benvent; Dan Stowell (DCASE, 2021)

Computational bioacoustics with deep learning: a review and roadmap. - Dan Stowell (CoRR, 2021)

Acoustic traits of bat-pollinated flowers compared to flowers of other pollination syndromes and their echo-based classification using convolutional neural networks. - Ralph Simon; Karol Bakunowski; Angel Eduardo Reyes-Vasques; Marco Tschapka; Mirjam Knörnschild; Jan Steckel; Dan Stowell (PLoS Comput. Biol., 2021)

Multilabel Acoustic Event Classification Using Real-World Urban Data and Physical Redundancy of Sensors. - Ester Vidaña-Vila; Joan Navarro; Dan Stowell; Rosa Maria Alsina Pages (Sensors, 2021)

Few-Shot Bioacoustic Event Detection at the DCASE 2022 Challenge. - Inês Nolasco; Shubhr Singh; E. Vidaña-Villa; Emily Grout; J. Morford; Michael G. Emmerson; Frants H. Jensen; Ivan Kiskin; Helen Whitehead; Ariana Strandburg-Peshkin; Lisa F. Gill; Hanna Pamula; et al. (DCASE, 2022)

Polyphonic Sound Event Detection for Highly Dense Birdsong Scenes. - Alberto García Arroba Parrilla; Dan Stowell (DCASE, 2022)

Rank-Based Loss For Learning Hierarchical Representations. - Inês Nolasco; Dan Stowell (ICASSP, 2022)

Full-Stack Bioacoustics: Field Kit to AI to Action (Workshop report). - Dan Stowell; Caitlin Black; Florencia Noriega; Sarab S. Sethi (CoRR, 2022)

Perceptual Musical Similarity Metric Learning with Graph Neural Networks. - Cyrus Vahidi; Shubhr Singh; Emmanouil Benetos; Huy Phan; Dan Stowell; György Fazekas; Mathieu Lagrange (WASPAA, 2023)

Learning to detect an animal sound from five examples. - Inês Nolasco; Shubhr Singh; Veronica Morfi; Vincent Lostanlen; Ariana Strandburg-Peshkin; Ester Vidaña-Vila; Lisa F. Gill; Hanna Pamula; Helen Whitehead; Ivan Kiskin; Frants H. Jensen; Joe Morford; et al. (CoRR, 2023)

Few-shot bioacoustic event detection at the DCASE 2023 challenge. - Inês Nolasco; Burooj Ghani; Shubhr Singh; Ester Vidaña-Vila; Helen Whitehead; Emily Grout; Michael G. Emmerson; Frants H. Jensen; Ivan Kiskin; Joe Morford; Ariana Strandburg-Peshkin; Lisa F. Gill; et al. (CoRR, 2023)

Comparison between transformers and convolutional models for fine-grained classification of insects. - Rita Pucci; Vincent J. Kalkman; Dan Stowell (CoRR, 2023)

Auto deep learning for bioacoustic signals. - Giulio Tosato; Abdelrahman Shehata; Joshua Janssen; Kees Kamp; Pramatya Jati; Dan Stowell (CoRR, 2023)

Adaptive representations of sound for automatic insect recognition. - Marius Faiß; Dan Stowell (PLoS Comput. Biol., 2023)

Learning to detect an animal sound from five examples. - Inês Nolasco; Shubhr Singh; Veronica Morfi; Vincent Lostanlen; Ariana Strandburg-Peshkin; Ester Vidaña-Vila; Lisa F. Gill; Hanna Pamula; Helen Whitehead; Ivan Kiskin; Frants H. Jensen; Joe Morford; et al. (Ecol. Informatics, 2023)

Mind the Domain Gap: A Systematic Analysis on Bioacoustic Sound Event Detection. - Jinhua Liang; Inês Nolasco; Burooj Ghani; Huy Phan; Emmanouil Benetos; Dan Stowell (EUSIPCO, 2024)

animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics. - Julian C. Schäfer-Zimmermann; Vlad Demartsev; Baptiste Averly; Kiran L. Dhanjal-Adams; Mathieu Duteil; Gabriella Gall; Marius Faiß; Lily Johnson-Ulrich; Dan Stowell; Marta B. Manser; Marie A. Roch; Ariana Strandburg-Peshkin (CoRR, 2024)

Generalization in birdsong classification: impact of transfer learning methods and dataset characteristics. - Burooj Ghani; Vincent J. Kalkman; Bob Planqué; Willem-Pier Vellinga; Lisa F. Gill; Dan Stowell (CoRR, 2024)

Bird song comparison using deep learning trained from avian perceptual judgments. - Lies Zandberg; Veronica Morfi; Julia M. George; David Clayton; Dan Stowell; Robert F. Lachlan (PLoS Comput. Biol., 2024)

ATGNN: Audio Tagging Graph Neural Network. - Shubhr Singh; Christian J. Steinmetz; Emmanouil Benetos; Huy Phan; Dan Stowell (IEEE Signal Process. Lett., 2024)

Efficient Speech Detection in Environmental Audio Using Acoustic Recognition and Knowledge Distillation. - Drew Priebe; Burooj Ghani; Dan Stowell (Sensors, 2024)

Acoustic Identification of Individual Animals with Hierarchical Contrastive Learning. - Inês Nolasco; Ilyass Moummad; Dan Stowell; Emmanouil Benetos (ICASSP, 2025)

LHGNN: Local-Higher Order Graph Neural Networks For Audio Classification and Tagging. - Shubhr Singh; Emmanouil Benetos; Huy Phan; Dan Stowell (ICASSP, 2025)

Performance of Computer Vision Algorithms for Fine-Grained Classification Using Crowdsourced Insect Images. - Rita Pucci; Vincent J. Kalkman; Dan Stowell (IET Comput. Vis., 2025)

Enhanced Load Forecasting with GAT-LSTM: Leveraging Grid and Temporal Features. - Ugochukwu Orji; Çiçek Güven; Dan Stowell (CoRR, 2025)

InsectSet459: an open dataset of insect sounds for bioacoustic machine learning. - Marius Faiß; Burooj Ghani; Dan Stowell (CoRR, 2025)

Clustering and novel class recognition: evaluating bioacoustic deep learning feature extractors. - Vincent S. Kather; Burooj Ghani; Dan Stowell (CoRR, 2025)