| Denoising of heart sound signals using discrete wavelet transform MN Ali, ELSA El-Dahshan, AH Yahia Circuits, Systems, and Signal Processing 36, 4482-4497, 2017 | 90 | 2017 |
| A review of intelligent systems for heart sound signal analysis M Nabih-Ali, ELSA El-Dahshan, AS Yahia Journal of medical engineering & technology 41 (7), 553-563, 2017 | 78 | 2017 |
| Heart diseases diagnosis using intelligent algorithm based on PCG signal analysis M Nabih-Ali, ESA El-Dahshan, AS Yahia Circuits and Systems 8 (7), 184-190, 2017 | 41 | 2017 |
| A wavelet-based method for MRI liver image denoising MN Ali Biomedical Engineering/Biomedizinische Technik 64 (6), 699-709, 2019 | 15 | 2019 |
| Speech enhancement using dilated wave-u-net: an experimental analysis MN Ali, A Brutti, D Falavigna 2020 27th Conference of Open Innovations Association (FRUCT), 3-9, 2020 | 10 | 2020 |
| A Speech Enhancement Front-End for Intent Classification in Noisy Environments MN Ali, VJ Schmalz, A Brutti, D Falavigna European Signal Processing Conference (EUSIPCO), 2021 | 8 | 2021 |
| Time-domain joint training strategies of speech enhancement and intent classification neural models MN Ali, D Falavigna, A Brutti Sensors 22 (1), 374, 2022 | 6 | 2022 |
| Time-frequency analysis of different types of signals MN Nawar MS Thesis, 2018 | 5* | 2018 |
| Scaling strategies for on-device low-complexity source separation with conv-tasnet MN Ali, F Paissan, D Falavigna, A Brutti arXiv preprint arXiv:2303.03005, 2023 | 3 | 2023 |
| Enhancing Embeddings for Speech Classification in Noisy Conditions MN Ali, A Brutti, F Daniele Proc. Interspeech 2022, 2933-2937, 2022 | 3 | 2022 |
| Direct enhancement of pre-trained speech embeddings for speech processing in noisy conditions MN Ali, A Brutti, D Falavigna Computer Speech & Language 81, 101501, 2023 | 2 | 2023 |
| Fed-EE: Federating Heterogeneous ASR Models using Early-Exit Architectures MNAM Nawar, D Falavigna, A Brutti Proceedings of 3rd Neurips Workshop on Efficient Natural Language and Speech …, 2023 | 2 | 2023 |
| Training Early-Exit Architectures for Automatic Speech Recognition: Fine-Tuning Pre-Trained Models or Training from Scratch GA Wright, U Cappellazzo, S Zaiem, D Raj, LO Yang, D Falavigna, MN Ali, ... 2024 IEEE International Conference on Acoustics, Speech, and Signal …, 2024 | 1 | 2024 |
| Training dynamic models using early exits for automatic speech recognition on resource-constrained devices GA Wright, U Cappellazzo, S Zaiem, D Raj, LO Yang, D Falavigna, MN Ali, ... arXiv preprint arXiv:2309.09546, 2023 | 1 | 2023 |
| An Efficient Computational Approach for Phonocardiogram Signals Analysis and Normal/Abnormal heart sounds diagnosis ESA El-Dahshan, MN Ali, A Yahiea Arab Journal of Nuclear Sciences and Applications 53 (3), 162-177, 2020 | 1 | 2020 |
| Federating Dynamic Models using Early-Exit Architectures for Automatic Speech Recognition on Heterogeneous Clients MN Ali, A Brutti, D Falavigna arXiv preprint arXiv:2405.17376, 2024 | | 2024 |
| Improving the Intent Classification accuracy in Noisy Environment MN Ali, A Brutti, D Falavigna arXiv preprint arXiv:2303.06585, 2023 | | 2023 |
| Neural Enhancement Strategies for Robust Speech Processing MNAM Nawar Università degli studi di Trento, 2023 | | 2023 |
Alessio BruttiFBK在 fbk.eu 的电子邮件经过验证
