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Eduardo Fonseca
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2020 – today
- 2023
- [c20]R. Channing Moore, Daniel P. W. Ellis, Eduardo Fonseca, Shawn Hershey, Aren Jansen, Manoj Plakal:
Dataset Balancing Can Hurt Model Performance. ICASSP 2023: 1-5 - [c19]Mariana-Iuliana Georgescu, Eduardo Fonseca, Radu Tudor Ionescu, Mario Lucic, Cordelia Schmid, Anurag Arnab:
Audiovisual Masked Autoencoders. ICCV 2023: 16098-16108 - [i20]R. Channing Moore, Daniel P. W. Ellis, Eduardo Fonseca, Shawn Hershey, Aren Jansen, Manoj Plakal:
Dataset balancing can hurt model performance. CoRR abs/2307.00079 (2023) - 2022
- [j2]Eduardo Fonseca
, Xavier Favory, Jordi Pons
FSD50K: An Open Dataset of Human-Labeled Sound Events. IEEE ACM Trans. Audio Speech Lang. Process. 30: 829-852 (2022) - [c18]Francesca Ronchini, Samuele Cornell, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Daniel P. W. Ellis:
Description and Analysis of Novelties Introduced in DCASE Task 4 2022 on the Baseline System. DCASE 2022 - [i19]Joseph Turian, Jordie Shier, Humair Raj Khan, Bhiksha Raj, Björn W. Schuller, Christian J. Steinmetz, Colin Malloy, George Tzanetakis, Gissel Velarde, Kirk McNally
HEAR 2021: Holistic Evaluation of Audio Representations. CoRR abs/2203.03022 (2022) - [i18]Francesca Ronchini, Samuele Cornell, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Daniel P. W. Ellis:
Description and analysis of novelties introduced in DCASE Task 4 2022 on the baseline system. CoRR abs/2210.07856 (2022) - [i17]Mariana-Iuliana Georgescu, Eduardo Fonseca, Radu Tudor Ionescu, Mario Lucic, Cordelia Schmid, Anurag Arnab:
Audiovisual Masked Autoencoders. CoRR abs/2212.05922 (2022) - 2021
- [b1]Eduardo Fonseca:
Training sound event classifiers using different types of supervision. Pompeu Fabra University, Spain, 2021 - [c17]Pablo Zinemanas, Martín Rocamora, Eduardo Fonseca, Frederic Font, Xavier Serra:
Toward Interpretable Polyphonic Sound Event Detection with Attention Maps Based on Local Prototypes. DCASE 2021: 50-54 - [c16]Scott Wisdom, Hakan Erdogan, Daniel P. W. Ellis, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Justin Salamon, Prem Seetharaman, John R. Hershey:
What's all the Fuss about Free Universal Sound Separation Data? ICASSP 2021: 186-190 - [c15]Shawn Hershey, Daniel P. W. Ellis, Eduardo Fonseca, Aren Jansen, Caroline Liu, R. Channing Moore, Manoj Plakal:
The Benefit of Temporally-Strong Labels in Audio Event Classification. ICASSP 2021: 366-370 - [c14]Eduardo Fonseca, Diego Ortego, Kevin McGuinness
Unsupervised Contrastive Learning of Sound Event Representations. ICASSP 2021: 371-375 - [c13]Nicolas Turpault, Romain Serizel, Scott Wisdom, Hakan Erdogan, John R. Hershey, Eduardo Fonseca, Prem Seetharaman, Justin Salamon:
Sound Event Detection and Separation: A Benchmark on Desed Synthetic Soundscapes. ICASSP 2021: 840-844 - [c12]Joseph Turian, Jordie Shier, Humair Raj Khan, Bhiksha Raj, Björn W. Schuller, Christian J. Steinmetz, Colin Malloy, George Tzanetakis, Gissel Velarde, Kirk McNally, Max Henry, Nicolas Pinto, Camille Noufi, Christian Clough, Dorien Herremans, Eduardo Fonseca, Jesse H. Engel, Justin Salamon, Philippe Esling, Pranay Manocha, Shinji Watanabe, Zeyu Jin, Yonatan Bisk:
HEAR: Holistic Evaluation of Audio Representations. NeurIPS (Competition and Demos) 2021: 125-145 - [c11]Eduardo Fonseca, Aren Jansen, Daniel P. W. Ellis, Scott Wisdom, Marco Tagliasacchi, John R. Hershey, Manoj Plakal, Shawn Hershey, R. Channing Moore, Xavier Serra:
Self-Supervised Learning from Automatically Separated Sound Scenes. WASPAA 2021: 251-255 - [e1]Frederic Font, Annamaria Mesaros
Proceedings of the 6th Workshop on Detection and Classification of Acoustic Scenes and Events 2021 (DCASE 2021), Online, November 15-19, 2021. 2021, ISBN 978-84-09-36072-7 [contents] - [i16]Eduardo Fonseca, Aren Jansen, Daniel P. W. Ellis, Scott Wisdom, Marco Tagliasacchi, John R. Hershey, Manoj Plakal, Shawn Hershey, R. Channing Moore, Xavier Serra:
Self-Supervised Learning from Automatically Separated Sound Scenes. CoRR abs/2105.02132 (2021) - [i15]Shawn Hershey, Daniel P. W. Ellis, Eduardo Fonseca, Aren Jansen, Caroline Liu, R. Channing Moore, Manoj Plakal:
The Benefit Of Temporally-Strong Labels In Audio Event Classification. CoRR abs/2105.07031 (2021) - [i14]Eduardo Fonseca, Andres Ferraro
Improving Sound Event Classification by Increasing Shift Invariance in Convolutional Neural Networks. CoRR abs/2107.00623 (2021) - 2020
- [j1]Eduardo Fonseca
Addressing Missing Labels in Large-Scale Sound Event Recognition Using a Teacher-Student Framework With Loss Masking. IEEE Signal Process. Lett. 27: 1235-1239 (2020) - [c10]Nicolas Turpault, Scott Wisdom, Hakan Erdogan, John R. Hershey, Romain Serizel, Eduardo Fonseca, Prem Seetharaman, Justin Salamon:
Improving Sound Event Detection in Domestic Environments using Sound Separation. DCASE 2020: 205-209 - [d4]Eduardo Fonseca
FSD50K. Zenodo, 2020 - [d3]Eduardo Fonseca
FSDKaggle2019. Zenodo, 2020 - [i13]Eduardo Fonseca, Shawn Hershey, Manoj Plakal, Daniel P. W. Ellis, Aren Jansen, R. Channing Moore, Xavier Serra:
Addressing Missing Labels in Large-scale Sound Event Recognition using a Teacher-student Framework with Loss Masking. CoRR abs/2005.00878 (2020) - [i12]Nicolas Turpault, Scott Wisdom, Hakan Erdogan, John R. Hershey, Romain Serizel, Eduardo Fonseca, Prem Seetharaman, Justin Salamon:
Improving Sound Event Detection In Domestic Environments Using Sound Separation. CoRR abs/2007.03932 (2020) - [i11]Eduardo Fonseca, Xavier Favory, Jordi Pons, Frederic Font, Xavier Serra:
FSD50K: an Open Dataset of Human-Labeled Sound Events. CoRR abs/2010.00475 (2020) - [i10]Nicolas Turpault, Romain Serizel, Scott Wisdom, Hakan Erdogan, John R. Hershey, Eduardo Fonseca, Prem Seetharaman, Justin Salamon:
Sound Event Detection and Separation: a Benchmark on Desed Synthetic Soundscapes. CoRR abs/2011.00801 (2020) - [i9]Scott Wisdom, Hakan Erdogan, Daniel P. W. Ellis, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Justin Salamon, Prem Seetharaman, John R. Hershey:
What's All the FUSS About Free Universal Sound Separation Data? CoRR abs/2011.00803 (2020) - [i8]Eduardo Fonseca, Diego Ortego, Kevin McGuinness, Noel E. O'Connor, Xavier Serra:
Unsupervised Contrastive Learning of Sound Event Representations. CoRR abs/2011.07616 (2020)
2010 – 2019
- 2019
- [c9]Eduardo Fonseca, Manoj Plakal, Frederic Font, Daniel P. W. Ellis, Xavier Serra:
Audio Tagging with Noisy Labels and Minimal Supervision. DCASE 2019: 69-73 - [c8]Andrés Pérez-López, Eduardo Fonseca, Xavier Serra:
A Hybrid Parametric-Deep Learning Approach for Sound Event Localization and Detection. DCASE 2019: 189-193 - [c7]Eduardo Fonseca, Manoj Plakal, Daniel P. W. Ellis, Frederic Font, Xavier Favory, Xavier Serra
Learning Sound Event Classifiers from Web Audio with Noisy Labels. ICASSP 2019: 21-25 - [c6]Eduardo Fonseca, Frederic Font, Xavier Serra
Model-Agnostic Approaches To Handling Noisy Labels When Training Sound Event Classifiers. WASPAA 2019: 16-20 - [d2]Eduardo Fonseca
FSDnoisy18k. Zenodo, 2019 - [d1]Eduardo Fonseca
FSDKaggle2018. Zenodo, 2019 - [i7]Eduardo Fonseca, Manoj Plakal, Daniel P. W. Ellis, Frederic Font, Xavier Favory, Xavier Serra:
Learning Sound Event Classifiers from Web Audio with Noisy Labels. CoRR abs/1901.01189 (2019) - [i6]Eduardo Fonseca, Manoj Plakal, Frederic Font, Daniel P. W. Ellis, Xavier Serra:
Audio tagging with noisy labels and minimal supervision. CoRR abs/1906.02975 (2019) - [i5]Andrés Pérez-López, Eduardo Fonseca, Xavier Serra:
A hybrid parametric-deep learning approach for sound event localization and detection. CoRR abs/1908.10133 (2019) - [i4]Eduardo Fonseca, Frederic Font, Xavier Serra:
Model-agnostic Approaches to Handling Noisy Labels When Training Sound Event Classifiers. CoRR abs/1910.12004 (2019) - 2018
- [c5]Eduardo Fonseca, Manoj Plakal, Frederic Font, Daniel P. W. Ellis, Xavier Favory, Jordi Pons, Xavier Serra:
General-purpose tagging of Freesound audio with AudioSet labels: task description, dataset, and baseline. DCASE 2018: 69-73 - [i3]Eduardo Fonseca, Rong Gong, Xavier Serra:
A Simple Fusion of Deep and Shallow Learning for Acoustic Scene Classification. CoRR abs/1806.07506 (2018) - [i2]Eduardo Fonseca, Manoj Plakal, Frederic Font, Daniel P. W. Ellis, Xavier Favory, Jordi Pons, Xavier Serra:
General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline. CoRR abs/1807.09902 (2018) - [i1]Xavier Favory, Eduardo Fonseca, Frederic Font, Xavier Serra:
Facilitating the Manual Annotation of Sounds When Using Large Taxonomies. CoRR abs/1811.10988 (2018) - 2017
- [c4]Eduardo Fonseca, Rong Gong, Dmitry Bogdanov, Olga Slizovskaia, Emilia Gómez, Xavier Serra:
Acoustic Scene Classification by Ensembling Gradient Boosting Machine and Convolutional Neural Networks. DCASE 2017: 37-41 - [c3]Eduardo Fonseca, Jordi Pons, Xavier Favory, Frederic Font, Dmitry Bogdanov, Andres Ferraro, Sergio Oramas, Alastair Porter, Xavier Serra:
Freesound Datasets: A Platform for the Creation of Open Audio Datasets. ISMIR 2017: 486-493
2000 – 2009
- 2008
- [c2]Sand Correa, Eduardo Fonseca, Renato Cerqueira:
A self-diagnosis approach for performance problem localization in component-based applications. NOMS 2008: 931-934 - [c1]Eduardo Fonseca, Sand Correa, Renato Cerqueira:
Experimenting Middleware-Level Monitoring Facilities to Observe Component-based Applications. SBCARS 2008: 96-106
Coauthor Index
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