Pedro Zuccarello
Orcid: 0000-0003-3494-9954
According to our database1,
Pedro Zuccarello
authored at least 30 papers
between 2006 and 2024.
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Bibliography
2024
Practical aspects for the creation of an audio dataset from field recordings with optimized labeling budget with AI-assisted strategy.
CoRR, 2024
Female Mosquito Detection by Means of AI Techniques Inside Release Containers in the Context of a Sterile Insect Technique Program.
Proceedings of the 32nd European Signal Processing Conference, 2024
2022
An Open-Set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic Environments.
Pattern Recognit. Lett., 2022
DCASE 2022: Comparative Analysis Of CNNs For Acoustic Scene Classification Under Low-Complexity Considerations.
CoRR, 2022
2021
Task 1A DCASE 2021: Acoustic Scene Classification with mismatch-devices using squeeze-excitation technique and low-complexity constraint.
CoRR, 2021
TASK3 DCASE2021 Challenge: Sound event localization and detection using squeeze-excitation residual CNNs.
CoRR, 2021
Squeeze-Excitation Convolutional Recurrent Neural Networks for Audio-Visual Scene Classification.
CoRR, 2021
Squeeze-Excitation Convolutional Recurrent Neural Networks for Audio-Visual Scene Classification.
Proceedings of the 6th Workshop on Detection and Classification of Acoustic Scenes and Events 2021 (DCASE 2021), 2021
2020
CoRR, 2020
On the performance of different excitation-residual blocks for Acoustic Scene Classification.
CoRR, 2020
An Open-set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic Environments.
CoRR, 2020
A Comparative Analysis of Residual Block Alternatives for End-to-End Audio Classification.
IEEE Access, 2020
IEEE Access, 2020
Listen Carefully and Tell: An Audio Captioning System Based on Residual Learning and Gammatone Audio Representation.
Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020
Anomalous Sound Detection using Unsupervised and Semi-Supervised Autoencoders and Gammatone Audio Representation.
Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020
2019
On the performance of residual block design alternatives in convolutional neural networks for end-to-end audio classification.
CoRR, 2019
DCASE 2019: CNN depth analysis with different channel inputs for Acoustic Scene Classification.
CoRR, 2019
2014
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014
2013
Sensors, 2013
2012
On the Design of Change-driven Data-flow Algorithms and Architectures for High-speed Motion Analysis.
Proceedings of the ICINCO 2012 - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics, Volume 1, Rome, Italy, 28, 2012
2011
IEEE Trans. Circuits Syst. Video Technol., 2011
2009
Proceedings of the Progress in Pattern Recognition, 2009
2008
On the Advantages of Asynchronous Pixel Reading and Processing for High-Speed Motion Estimation.
Proceedings of the Advances in Visual Computing, 4th International Symposium, 2008
2007
Pattern Recognit., 2007
A novel relevance feedback procedure based on logistic regression and owa operator for content-based image retrieval system.
Proceedings of the VISAPP 2007: Proceedings of the Second International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 8-11, 2007, 2007
2006
A novel Bayesian framework for relevance feedback in image content-based retrieval systems.
Pattern Recognit., 2006
Computation of common acoustical poles in subbands by means of a clustering technique.
Proceedings of the 14th European Signal Processing Conference, 2006