Sergi Perez-Castanos
Orcid: 0000-0002-8241-9459
According to our database1,
Sergi Perez-Castanos
authored at least 17 papers
between 2019 and 2023.
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Bibliography
2023
Proceedings of the IEEE International Conference on Engineering, Technology and Innovation, 2023
Towards Explainable AI Validation in Industry 4.0: A Fuzzy Cognitive Map-based Evaluation Framework for Assessing Business Value.
Proceedings of the IEEE International Conference on Engineering, Technology and Innovation, 2023
2022
An Open-Set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic Environments.
Pattern Recognit. Lett., 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