Dan Stowell - RankMe

104 papers A* 1A 1Misc 8Journal 67Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Torus embeddings. CoRR Dan Stowell
2025	Misc	`conf`	Acoustic Identification of Individual Animals with Hierarchical Contrastive Learning. ICASSP Inês Nolasco, Ilyass Moummad, Dan Stowell, Emmanouil Benetos
2025	J	`jnl`	Clustering and novel class recognition: evaluating bioacoustic deep learning feature extractors. CoRR Vincent S. Kather, Burooj Ghani, Dan Stowell
2025	J	`jnl`	Enhanced Load Forecasting with GAT-LSTM: Leveraging Grid and Temporal Features. CoRR Ugochukwu Orji, Çiçek Güven, Dan Stowell
2025	J	`jnl`	InsectSet459: an open dataset of insect sounds for bioacoustic machine learning. CoRR Marius Faiß, Burooj Ghani, Dan Stowell
2025	Misc	`conf`	LHGNN: Local-Higher Order Graph Neural Networks For Audio Classification and Tagging. ICASSP Shubhr Singh, Emmanouil Benetos, Huy Phan, Dan Stowell
2025	J	`jnl`	LHGNN: Local-Higher Order Graph Neural Networks For Audio Classification and Tagging. CoRR Shubhr Singh, Emmanouil Benetos, Huy Phan, Dan Stowell
2025	J	`jnl`	Performance of Computer Vision Algorithms for Fine-Grained Classification Using Crowdsourced Insect Images. IET Comput. Vis. Rita Pucci, Vincent J. Kalkman, Dan Stowell
2024	J	`jnl`	ATGNN: Audio Tagging Graph Neural Network. IEEE Signal Process. Lett. Shubhr Singh, Christian J. Steinmetz, Emmanouil Benetos, Huy Phan, Dan Stowell
2024	J	`jnl`	Acoustic identification of individual animals with hierarchical contrastive learning. CoRR Inês Nolasco, Ilyass Moummad, Dan Stowell, Emmanouil Benetos
2024	J	`jnl`	Bird song comparison using deep learning trained from avian perceptual judgments. PLoS Comput. Biol. Lies Zandberg, Veronica Morfi, Julia M. George, David Clayton, Dan Stowell, Robert F. Lachlan
2024	J	`jnl`	Efficient Speech Detection in Environmental Audio Using Acoustic Recognition and Knowledge Distillation. Sensors Drew Priebe, Burooj Ghani, Dan Stowell
2024	J	`jnl`	Generalization in birdsong classification: impact of transfer learning methods and dataset characteristics. CoRR Burooj Ghani, Vincent J. Kalkman, Bob Planqué, Willem-Pier Vellinga, Lisa F. Gill, Dan Stowell
2024	—	`conf`	Mind the Domain Gap: A Systematic Analysis on Bioacoustic Sound Event Detection. EUSIPCO Jinhua Liang, Inês Nolasco, Burooj Ghani, Huy Phan, Emmanouil Benetos, Dan Stowell
2024	J	`jnl`	Performance of computer vision algorithms for fine-grained classification using crowdsourced insect images. CoRR Rita Pucci, Vincent J. Kalkman, Dan Stowell
2024	J	`jnl`	animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics. CoRR 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
2023	J	`jnl`	ATGNN: Audio Tagging Graph Neural Network. CoRR Shubhr Singh, Christian J. Steinmetz, Emmanouil Benetos, Huy Phan, Dan Stowell
2023	J	`jnl`	Adaptive Representations of Sound for Automatic Insect Recognition. CoRR Marius Faiß, Dan Stowell
2023	J	`jnl`	Adaptive representations of sound for automatic insect recognition. PLoS Comput. Biol. Marius Faiß, Dan Stowell
2023	J	`jnl`	Auto deep learning for bioacoustic signals. CoRR Giulio Tosato, Abdelrahman Shehata, Joshua Janssen, Kees Kamp, Pramatya Jati, Dan Stowell
2023	J	`jnl`	Comparison between transformers and convolutional models for fine-grained classification of insects. CoRR Rita Pucci, Vincent J. Kalkman, Dan Stowell
2023	J	`jnl`	Efficient speech detection in environmental audio using acoustic recognition and knowledge distillation. CoRR Drew Priebe, Burooj Ghani, Dan Stowell
2023	J	`jnl`	Few-shot bioacoustic event detection at the DCASE 2023 challenge. CoRR 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, Hanna Pamula, Vincent Lostanlen, Dan Stowell
2023	J	`jnl`	Learning to detect an animal sound from five examples. CoRR 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, Michael G. Emmerson, Elisabetta Versace, Emily Grout, Haohe Liu, Dan Stowell
2023	J	`jnl`	Learning to detect an animal sound from five examples. Ecol. Informatics 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, Michael G. Emmerson, Elisabetta Versace, Emily Grout, Haohe Liu, Burooj Ghani, Dan Stowell
2023	—	`conf`	Perceptual Musical Similarity Metric Learning with Graph Neural Networks. WASPAA Cyrus Vahidi, Shubhr Singh, Emmanouil Benetos, Huy Phan, Dan Stowell, György Fazekas, Mathieu Lagrange
2022	—	`conf`	Few-Shot Bioacoustic Event Detection at the DCASE 2022 Challenge. DCASE 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, Vincent Lostanlen, Veronica Morfi, Dan Stowell
2022	J	`jnl`	Few-shot bioacoustic event detection at the DCASE 2022 challenge. CoRR Inês Nolasco, Shubhr Singh, E. Vidaña-Villa, Emily Grout, J. Morford, Michael G. Emmerson, Frants H. Jensen, Helen Whitehead, Ivan Kiskin, Ariana Strandburg-Peshkin, Lisa F. Gill, Hanna Pamula, Vincent Lostanlen, Veronica Morfi, Dan Stowell
2022	J	`jnl`	Full-Stack Bioacoustics: Field Kit to AI to Action (Workshop report). CoRR Dan Stowell, Caitlin Black, Florencia Noriega, Sarab S. Sethi
2022	—	`conf`	Polyphonic Sound Event Detection for Highly Dense Birdsong Scenes. DCASE Alberto García Arroba Parrilla, Dan Stowell
2022	J	`jnl`	Polyphonic sound event detection for highly dense birdsong scenes. CoRR Alberto García Arroba Parrilla, Dan Stowell
2022	—	`ed.`	Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, DCASE 2022, Nancy, France, November 3-4, 2022 DCASE Mathieu Lagrange, Annamaria Mesaros, Thomas Pellegrini, Gaël Richard, Romain Serizel, Dan Stowell
2022	Misc	`conf`	Rank-Based Loss For Learning Hierarchical Representations. ICASSP Inês Nolasco, Dan Stowell
2021	J	`jnl`	Acoustic traits of bat-pollinated flowers compared to flowers of other pollination syndromes and their echo-based classification using convolutional neural networks. PLoS Comput. Biol. Ralph Simon, Karol Bakunowski, Angel Eduardo Reyes-Vasques, Marco Tschapka, Mirjam Knörnschild, Jan Steckel, Dan Stowell
2021	J	`jnl`	Computational bioacoustics with deep learning: a review and roadmap. CoRR Dan Stowell
2021	—	`conf`	Few-Shot Bioacoustic Event Detection: A New Task at the DCASE 2021 Challenge. DCASE Veronica Morfi, Inês Nolasco, Vincent Lostanlen, Shubhr Singh, Ariana Strandburg-Peshkin, Lisa F. Gill, Hanna Pamula, David Benvent, Dan Stowell
2021	J	`jnl`	Multilabel Acoustic Event Classification Using Real-World Urban Data and Physical Redundancy of Sensors. Sensors Ester Vidaña-Vila, Joan Navarro, Dan Stowell, Rosa Maria Alsina Pages
2021	J	`jnl`	Rank-based loss for learning hierarchical representations. CoRR Inês Nolasco, Dan Stowell
2020	Misc	`conf`	Efficient Bird Sound Detection on the Bela Embedded System. ICASSP Alexandru-Marius Solomes, Dan Stowell
2020	J	`jnl`	Guitar Effects Recognition and Parameter Estimation with Convolutional Neural Networks. CoRR Marco Comunità, Dan Stowell, Joshua D. Reiss
2020	J	`jnl`	Short-term prediction of photovoltaic power generation using Gaussian process regression. CoRR Yahya Al Lawati, Jack Kelly, Dan Stowell
2019	J	`jnl`	Efficient On-line Computation of Visibility Graphs. CoRR Delia Fano Yela, Florian Thalmann, Vincenzo Nicosia, Dan Stowell, Mark B. Sandler
2019	A*	`conf`	End-to-End Probabilistic Inference for Nonstationary Audio Analysis. ICML William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin
2019	J	`jnl`	End-to-End Probabilistic Inference for Nonstationary Audio Analysis. CoRR William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin
2019	—	`conf`	Estimating & Mitigating the Impact of Acoustic Environments on Machine-to-Machine Signalling. EUSIPCO Amogh Matt, Dan Stowell
2019	J	`jnl`	Estimating & Mitigating the Impact of Acoustic Environments on Machine-to-Machine Signalling. CoRR Amogh Matt, Dan Stowell
2019	J	`jnl`	NIPS4Bplus: a richly annotated birdsong audio dataset. PeerJ Comput. Sci. Veronica Morfi, Yves Bas, Hanna Pamula, Hervé Glotin, Dan Stowell
2019	Misc	`conf`	Sparse Gaussian Process Audio Source Separation Using Spectrum Priors in the Time-domain. ICASSP Pablo A. Alvarado, Mauricio A. Álvarez, Dan Stowell
2019	—	`conf`	Spectral Visibility Graphs: Application to Similarity of Harmonic Signals. EUSIPCO Delia Fano Yela, Dan Stowell, Mark B. Sandler
2019	Misc	`conf`	Unifying Probabilistic Models for Time-frequency Analysis. ICASSP William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin
2019	J	`jnl`	Visibility graphs for robust harmonic similarity measures between audio spectra. CoRR Delia Fano Yela, Dan Stowell, Mark B. Sandler
2018	—	`conf`	A Generative Model for Natural Sounds Based on Latent Force Modelling. LVA/ICA William J. Wilkinson, Joshua D. Reiss, Dan Stowell
2018	J	`jnl`	A Generative Model for Natural Sounds Based on Latent Force Modelling. CoRR William J. Wilkinson, Joshua D. Reiss, Dan Stowell
2018	J	`jnl`	Automatic acoustic detection of birds through deep learning: the first Bird Audio Detection challenge. CoRR Dan Stowell, Yannis Stylianou, Mike Wood, Hanna Pamula, Hervé Glotin
2018	J	`jnl`	Automatic acoustic identification of individual animals: Improving generalisation across species and recording conditions. CoRR Dan Stowell, Tereza Petrusková, Martin Sálek, Pavel Linhart
2018	J	`jnl`	Data-Efficient Weakly Supervised Learning for Low-Resource Audio Event Detection Using Deep Learning. CoRR Veronica Morfi, Dan Stowell
2018	—	`conf`	Data-efficient weakly supervised learning for low-resource audio event detection using deep learning. DCASE Veronica Morfi, Dan Stowell
2018	J	`jnl`	Deep Learning for Audio Transcription on Low-Resource Datasets. CoRR Veronica Morfi, Dan Stowell
2018	—	`conf`	Does k Matter? k-NN Hubness Analysis for Kernel Additive Modelling Vocal Separation. LVA/ICA Delia Fano Yela, Dan Stowell, Mark B. Sandler
2018	J	`jnl`	Does k Matter? k-NN Hubness Analysis for Kernel Additive Modelling Vocal Separation. CoRR Delia Fano Yela, Dan Stowell, Mark B. Sandler
2018	J	`jnl`	NIPS4Bplus: a richly annotated birdsong audio dataset. CoRR Veronica Morfi, Yves Bas, Hanna Pamula, Hervé Glotin, Dan Stowell
2018	J	`jnl`	Sparse Gaussian process Audio Source Separation Using Spectrum Priors in the Time-Domain. CoRR Pablo A. Alvarado, Mauricio A. Álvarez, Dan Stowell
2018	J	`jnl`	Unifying Probabilistic Models for Time-Frequency Analysis. CoRR William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin
2017	Misc	`conf`	Deductive refinement of species labelling in weakly labelled birdsong recordings. ICASSP Veronica Morfi, Dan Stowell
2017	J	`jnl`	Efficient Learning of Harmonic Priors for Pitch Detection in Polyphonic Music. CoRR Pablo A. Alvarado, Dan Stowell
2017	J	`jnl`	On-Bird Sound Recordings: Automatic Acoustic Recognition of Activities and Contexts. IEEE ACM Trans. Audio Speech Lang. Process. Dan Stowell, Emmanouil Benetos, Lisa F. Gill
2016	—	`conf`	Bird detection in audio: A survey and a challenge. MLSP Dan Stowell, Mike Wood, Yannis Stylianou, Hervé Glotin
2016	J	`jnl`	Bird detection in audio: a survey and a challenge. CoRR Dan Stowell, Mike Wood, Yannis Stylianou, Hervé Glotin
2016	J	`jnl`	Deductive Refinement of Species Labelling in Weakly Labelled Birdsong Recordings. CoRR Veronica Morfi, Dan Stowell
2016	J	`jnl`	Detailed temporal structure of communication networks in groups of songbirds. CoRR Dan Stowell, Lisa F. Gill, David Clayton
2016	J	`jnl`	Gaussian Processes for Music Audio Modelling and Content Analysis. CoRR Pablo A. Alvarado, Dan Stowell
2016	—	`conf`	Gaussian processes for music audio modelling and content analysis. MLSP Pablo A. Alvarado, Dan Stowell
2016	A	`conf`	Individual Identity in Songbirds: Signal Representations and Metric Learning for Locating the Information in Complex Corvid Calls. INTERSPEECH Dan Stowell, Veronica Morfi, Lisa F. Gill
2016	J	`jnl`	Individual identity in songbirds: signal representations and metric learning for locating the information in complex corvid calls. CoRR Dan Stowell, Veronica Morfi, Lisa F. Gill
2016	J	`jnl`	On-bird Sound Recordings: Automatic Acoustic Recognition of Activities and Contexts. CoRR Dan Stowell, Emmanouil Benetos, Lisa F. Gill
2015	J	`jnl`	Acoustic Scene Classification: Classifying environments from the sounds they produce. IEEE Signal Process. Mag. Daniele Barchiesi, Dimitrios Giannoulis, Dan Stowell, Mark D. Plumbley
2015	—	`conf`	Acoustic event detection for multiple overlapping similar sources. WASPAA Dan Stowell, David Clayton
2015	J	`jnl`	Acoustic event detection for multiple overlapping similar sources. CoRR Dan Stowell, David Clayton
2015	—	`conf`	BirdCLEF 2015 Submission: Unsupervised Feature Learning from Audio. CLEF (Working Notes) Dan Stowell
2015	J	`jnl`	Denoising without access to clean data using a partitioned autoencoder. CoRR Dan Stowell, Richard E. Turner
2015	J	`jnl`	Detection and Classification of Acoustic Scenes and Events. IEEE Trans. Multim. Dan Stowell, Dimitrios Giannoulis, Emmanouil Benetos, Mathieu Lagrange, Mark D. Plumbley
2014	J	`jnl`	Acoustic Scene Classification. CoRR Daniele Barchiesi, Dimitrios Giannoulis, Dan Stowell, Mark D. Plumbley
2014	—	`conf`	An Open Dataset for Research on Audio Field Recording Archives: freefield1010. Semantic Audio Dan Stowell, Mark D. Plumbley
2014	—	`conf`	Audio-only Bird Classification Using Unsupervised Feature Learning. CLEF (Working Notes) Dan Stowell, Mark D. Plumbley
2014	J	`jnl`	Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning. CoRR Dan Stowell, Mark D. Plumbley
2013	—	`conf`	A database and challenge for acoustic scene classification and event detection. EUSIPCO Dimitrios Giannoulis, Dan Stowell, Emmanouil Benetos, Mathias Rossignol, Mathieu Lagrange, Mark D. Plumbley
2013	J	`jnl`	An open dataset for research on audio field recording archives: freefield1010. CoRR Dan Stowell, Mark D. Plumbley
2013	—	`conf`	Detection and classification of acoustic scenes and events: An IEEE AASP challenge. WASPAA Dimitrios Giannoulis, Emmanouil Benetos, Dan Stowell, Mathias Rossignol, Mathieu Lagrange, Mark D. Plumbley
2013	J	`jnl`	Improved multiple birdsong tracking with distribution derivative method and Markov renewal process clustering CoRR Dan Stowell, Saso Musevic, Jordi Bonada, Mark D. Plumbley
2013	Misc	`conf`	Improved multiple birdsong tracking with distribution derivative method and Markov renewal process clustering. ICASSP Dan Stowell, Saso Musevic, Jordi Bonada, Mark D. Plumbley
2013	J	`jnl`	Large-scale analysis of frequency modulation in birdsong databases. CoRR Dan Stowell, Mark D. Plumbley
2013	—	`ch.`	Live Music-Making: A Rich Open Task Requires a Rich Open Interface. Music and Human-Computer Interaction Dan Stowell, Alex McLean
2013	J	`jnl`	Maximum a posteriori estimation of piecewise arcs in tempo time-series CoRR Dan Stowell, Elaine Chew
2013	J	`jnl`	Segregating event streams and noise with a Markov renewal process model. J. Mach. Learn. Res. Dan Stowell, Mark D. Plumbley
2012	—	`conf`	Framewise heterodyne chirp analysis of birdsong. EUSIPCO Dan Stowell, Mark D. Plumbley
2012	—	`conf`	Maximum a Posteriori Estimation of Piecewise Arcs in Tempo Time-Series. CMMR Dan Stowell, Elaine Chew
2012	J	`jnl`	Segregating event streams and noise with a Markov renewal process model CoRR Dan Stowell, Mark D. Plumbley
2011	—	`conf`	MIR in School? Lessons from Ethnographic Observation of Secondary School Music Classes. ISMIR Dan Stowell, Simon Dixon
2011	—	`conf`	Scheduling and composing with Risset eternal accelerando rhythms. ICMC Dan Stowell
2010	—	`conf`	Cross-associating unlabelled timbre distributions to create expressive musical mappings. WAPA Dan Stowell, Mark D. Plumbley
2009	J	`jnl`	Evaluation of live human-computer music-making: Quantitative and qualitative approaches. Int. J. Hum. Comput. Stud. Dan Stowell, Andrew Robertson, Nick Bryan-Kinns, Mark D. Plumbley
2009	J	`jnl`	Fast Multidimensional Entropy Estimation by k -d Partitioning. IEEE Signal Process. Lett. Dan Stowell, Mark D. Plumbley
2008	—	`conf`	Discourse Analysis Evaluation Method for Expressive Musical Interfaces. NIME Dan Stowell, Mark D. Plumbley, Nick Bryan-Kinns
2007	—	`conf`	Adaptive whitening for Improved Real-Time audio onset Detection. ICMC Dan Stowell, Mark D. Plumbley