| Acoustic scene classification with squeeze-excitation residual networks J Naranjo-Alcazar, S Perez-Castanos, P Zuccarello, M Cobos IEEE Access 8, 112287-112296, 2020 | 48 | 2020 |
| A comparative analysis of residual block alternatives for end-to-end audio classification J Naranjo-Alcazar, S Perez-Castanos, I Martin-Morato, P Zuccarello, ... IEEE Access 8, 188875-188882, 2020 | 22* | 2020 |
| Open set audio classification using autoencoders trained on few data J Naranjo-Alcazar, S Perez-Castanos, P Zuccarello, F Antonacci, ... Sensors 20 (13), 3741, 2020 | 19 | 2020 |
| Anomalous Sound Detection using Unsupervised and Semi-Supervised Autoencoders and Gammatone Audio Representation S Perez-Castanos, J Naranjo-Alcazar, P Zuccarello, M Cobos Proceedings of the Detection and Classification of Acoustic Scenes and …, 2020 | 17 | 2020 |
| Cnn depth analysis with different channel inputs for acoustic scene classification S Perez-Castanos, J Naranjo-Alcazar, P Zuccarello, M Cobos, FJ Ferri arXiv preprint arXiv:1906.04591, 2019 | 15 | 2019 |
| An open-set recognition and few-shot learning dataset for audio event classification in domestic environments J Naranjo-Alcazar, S Perez-Castanos, P Zuccarello, AM Torres, JJ Lopez, ... Pattern Recognition Letters 164, 40-45, 2022 | 14 | 2022 |
| Listen carefully and tell: an audio captioning system based on residual learning and gammatone audio representation S Perez-Castanos, J Naranjo-Alcazar, P Zuccarello, M Cobos Proceedings of the Detection and Classification of Acoustic Scenes and …, 2020 | 14 | 2020 |
| Task 3 DCASE 2020: Sound Event Localization and Detection using Residual Squeeze-Excitation CNNs J Naranjo-Alcazar, S Perez-Castanos, J Ferrandis, P Zuccarello, M Cobos, ... | 14* | |
| Squeeze-excitation convolutional recurrent neural networks for audio-visual scene classification J Naranjo-Alcazar, S Perez-Castanos, A Lopez-Garcia, P Zuccarello, ... arXiv preprint arXiv:2107.13180, 2021 | 5 | 2021 |
| Task 6 DCASE 2020: Listen Carefully and Tell: An Audio Captioning System based on Residual Learning and Gammatone Audio Representation J Naranjo-Alcazar, S Perez-Castanos, P Zuccarello, M Cobos Tech. Rep., DCASE2020 Challenge, 2020 | 4 | 2020 |
| Task 1 DCASE 2020: ASC with Mismatch Devices and Reduced Size Model using Residual Squeeze-Excitation CNNs J Naranjo-Alcazar, S Perez-Castanos, P Zuccarello, M Cobos DCASE2020 Challenge, Tech. Rep, 2020 | 4 | 2020 |
| Task 1A DCASE 2021: Acoustic scene classification with mismatch-devices using squeeze-excitation technique and low-complexity constraint J Naranjo-Alcazar, S Perez-Castanos, M Cobos, FJ Ferri, P Zuccarello arXiv preprint arXiv:2107.14658, 2021 | 3 | 2021 |
| Task 1B DCASE 2021: Audio-visual scene classification with squeeze-excitation convolutional recurrent neural networks J Naranjo-Alcazar, S Perez-Castanos, M Cobos, FJ Ferri, P Zuccarello DCASE2021 Challenge, Tech. Rep, 2021 | 2 | 2021 |
| Holistic Production Overview: Using XAI for Production Optimization S Perez-Castanos, A Prieto-Roig, D Monzo, J Colomer-Barbera Artificial Intelligence in Manufacturing: Enabling Intelligent, Flexible and …, 2023 | 1 | 2023 |
| TASK3 DCASE2021 Challenge: sound event localization and detection using squeeze-excitation residual CNNs J Naranjo-Alcazar, S Perez-Castanos, P Zuccarello, FJ Ferri, M Cobos arXiv preprint arXiv:2107.14561, 2021 | 1 | 2021 |
| Industrial Asset Management and Secure Sharing for an XAI Manufacturing Platform S Reji, J Hetterich, S Pitsios, V Gkolemi, S Perez-Castanos, M Pertselakis 2023 IEEE International Conference on Engineering, Technology and Innovation …, 2023 | | 2023 |
| Towards Explainable AI Validation in Industry 4.0: A Fuzzy Cognitive Map-based Evaluation Framework for Assessing Business Value Z Dikopoulou, E Lavasa, S Perez-Castanos, D Monzo, S Moustakidis 2023 IEEE International Conference on Engineering, Technology and Innovation …, 2023 | | 2023 |
| Acoustic Scene Classification With Squeeze-Excitation Residual Networks S PEREZ-CASTANOS, P ZUCCARELLO | | |
| Task 2 DCASE 2020: Anomalous Sound Detection using Unsupervised and Semi-Supervised Autoencoders and Gammatone Audio Representation J Naranjo-Alcazar, S Perez-Castanos, P Zuccarello, M Cobos | | |
Maximo CobosFull Professor, Universitat de ValenciaVerified email at uv.es
