A self-diagnosis approach for performance problem localization in component-based applications. - Sand Correa; Eduardo Fonseca; Renato Cerqueira (NOMS, 2008)

Experimenting Middleware-Level Monitoring Facilities to Observe Component-based Applications. - Eduardo Fonseca; Sand Correa; Renato Cerqueira (SBCARS, 2008)

Acoustic Scene Classification by Ensembling Gradient Boosting Machine and Convolutional Neural Networks. - Eduardo Fonseca; Rong Gong; Dmitry Bogdanov; Olga Slizovskaia; Emilia Gómez; Xavier Serra (DCASE, 2017)

Freesound Datasets: A Platform for the Creation of Open Audio Datasets. - Eduardo Fonseca; Jordi Pons; Xavier Favory; Frederic Font; Dmitry Bogdanov; Andres Ferraro; Sergio Oramas; Alastair Porter; Xavier Serra (ISMIR, 2017)

General-purpose tagging of Freesound audio with AudioSet labels: task description, dataset, and baseline. - Eduardo Fonseca; Manoj Plakal; Frederic Font; Daniel P. W. Ellis; Xavier Favory; Jordi Pons; Xavier Serra (DCASE, 2018)

A Simple Fusion of Deep and Shallow Learning for Acoustic Scene Classification. - Eduardo Fonseca; Rong Gong; Xavier Serra (CoRR, 2018)

Facilitating the Manual Annotation of Sounds When Using Large Taxonomies. - Xavier Favory; Eduardo Fonseca; Frederic Font; Xavier Serra (CoRR, 2018)

Audio Tagging with Noisy Labels and Minimal Supervision. - Eduardo Fonseca; Manoj Plakal; Frederic Font; Daniel P. W. Ellis; Xavier Serra (DCASE, 2019)

A Hybrid Parametric-Deep Learning Approach for Sound Event Localization and Detection. - Andrés Pérez-López; Eduardo Fonseca; Xavier Serra (DCASE, 2019)

Learning Sound Event Classifiers from Web Audio with Noisy Labels. - Eduardo Fonseca; Manoj Plakal; Daniel P. W. Ellis; Frederic Font; Xavier Favory; Xavier Serra (ICASSP, 2019)

Model-Agnostic Approaches To Handling Noisy Labels When Training Sound Event Classifiers. - Eduardo Fonseca; Frederic Font; Xavier Serra (WASPAA, 2019)

FSDnoisy18k. - Eduardo Fonseca; Mercedes Collado; Manoj Plakal; Daniel P. W. Ellis; Frederic Font; Xavier Favory; Xavier Serra (Zenodo, 2019)

FSDKaggle2018. - Eduardo Fonseca; Xavier Favory; Jordi Pons; Frederic Font; Manoj Plakal; Daniel P. W. Ellis; Xavier Serra (Zenodo, 2019)

Improving Sound Event Detection in Domestic Environments using Sound Separation. - Nicolas Turpault; Scott Wisdom; Hakan Erdogan; John R. Hershey; Romain Serizel; Eduardo Fonseca; Prem Seetharaman; Justin Salamon (DCASE, 2020)

Addressing Missing Labels in Large-scale Sound Event Recognition using a Teacher-student Framework with Loss Masking. - Eduardo Fonseca; Shawn Hershey; Manoj Plakal; Daniel P. W. Ellis; Aren Jansen; R. Channing Moore; Xavier Serra (CoRR, 2020)

Addressing Missing Labels in Large-Scale Sound Event Recognition Using a Teacher-Student Framework With Loss Masking. - Eduardo Fonseca; Shawn Hershey; Manoj Plakal; Daniel P. W. Ellis; Aren Jansen; R. Channing Moore (IEEE Signal Process. Lett., 2020)

FSDKaggle2019. - Eduardo Fonseca; Manoj Plakal; Frederic Font; Daniel P. W. Ellis; Xavier Serra (Zenodo, 2020)

FSD50K. - Eduardo Fonseca; Xavier Favory; Jordi Pons; Frederic Font; Xavier Serra (Zenodo, 2020)

Toward Interpretable Polyphonic Sound Event Detection with Attention Maps Based on Local Prototypes. - Pablo Zinemanas; Martín Rocamora; Eduardo Fonseca; Frederic Font; Xavier Serra (DCASE, 2021)

Unsupervised Contrastive Learning of Sound Event Representations. - Eduardo Fonseca; Diego Ortego; Kevin McGuinness; Noel E. O'Connor; Xavier Serra (ICASSP, 2021)

The Benefit of Temporally-Strong Labels in Audio Event Classification. - Shawn Hershey; Daniel P. W. Ellis; Eduardo Fonseca; Aren Jansen; Caroline Liu; R. Channing Moore; Manoj Plakal (ICASSP, 2021)

Sound Event Detection and Separation: A Benchmark on Desed Synthetic Soundscapes. - Nicolas Turpault; Romain Serizel; Scott Wisdom; Hakan Erdogan; John R. Hershey; Eduardo Fonseca; Prem Seetharaman; Justin Salamon (ICASSP, 2021)

What's all the Fuss about Free Universal Sound Separation Data? - Scott Wisdom; Hakan Erdogan; Daniel P. W. Ellis; Romain Serizel; Nicolas Turpault; Eduardo Fonseca; Justin Salamon; Prem Seetharaman; John R. Hershey (ICASSP, 2021)

HEAR: Holistic Evaluation of Audio Representations. - 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; et al. (NeurIPS (Competition and Demos), 2021)

Self-Supervised Learning from Automatically Separated Sound Scenes. - Eduardo Fonseca; Aren Jansen; Daniel P. W. Ellis; Scott Wisdom; Marco Tagliasacchi; John R. Hershey; Manoj Plakal; Shawn Hershey; R. Channing Moore; Xavier Serra (WASPAA, 2021)

Improving Sound Event Classification by Increasing Shift Invariance in Convolutional Neural Networks. - Eduardo Fonseca; Andres Ferraro; Xavier Serra (CoRR, 2021)

Training sound event classifiers using different types of supervision. - Eduardo Fonseca (2021)

Description and Analysis of Novelties Introduced in DCASE Task 4 2022 on the Baseline System. - Francesca Ronchini; Samuele Cornell; Romain Serizel; Nicolas Turpault; Eduardo Fonseca; Daniel P. W. Ellis (DCASE, 2022)

HEAR 2021: Holistic Evaluation of Audio Representations. - 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; et al. (CoRR, 2022)

FSD50K: An Open Dataset of Human-Labeled Sound Events. - Eduardo Fonseca; Xavier Favory; Jordi Pons; Frederic Font; Xavier Serra (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Dataset Balancing Can Hurt Model Performance. - R. Channing Moore; Daniel P. W. Ellis; Eduardo Fonseca; Shawn Hershey; Aren Jansen; Manoj Plakal (ICASSP, 2023)

Audiovisual Masked Autoencoders. - Mariana-Iuliana Georgescu; Eduardo Fonseca; Radu Tudor Ionescu; Mario Lucic; Cordelia Schmid; Anurag Arnab (ICCV, 2023)