Leonardo Gabrielli
Orcid: 0000-0002-3812-0900
According to our database1,
Leonardo Gabrielli
authored at least 36 papers
between 2011 and 2022.
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Bibliography
2022
IEEE ACM Trans. Audio Speech Lang. Process., 2022
IEEE ACM Trans. Audio Speech Lang. Process., 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the AM '22: AudioMostly 2022, St. Pölten, 2022
AII, 2022
2021
Audio Metric Learning by Using Siamese Autoencoders for One-Shot Human Fall Detection.
IEEE Trans. Emerg. Top. Comput. Intell., 2021
Acoustic Features for Deep Learning-Based Models for Emergency Siren Detection: An Evaluation Study.
Proceedings of the 12th International Symposium on Image and Signal Processing and Analysis, 2021
Proceedings of the 24th International Conference on Digital Audio Effects, 2021
2020
Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020
Proceedings of the 22nd IEEE International Workshop on Multimedia Signal Processing, 2020
Who Cried When: Infant Cry Diarization with Dilated Fully-Convolutional Neural Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Emergency Siren Recognition in Urban Scenarios: Synthetic Dataset and Deep Learning Models.
Proceedings of the Intelligent Computing Theories and Application, 2020
Proceedings of the 28th European Signal Processing Conference, 2020
Task-Aware Separation for the DCASE 2020 Task 4 Sound Event Detection and Separation Challenge.
Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020
Domain-Adversarial Training and Trainable Parallel Front-End for the DCASE 2020 Task 4 Sound Event Detection Challenge.
Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020
2019
IEEE ACM Trans. Audio Speech Lang. Process., 2019
IEEE J. Sel. Top. Signal Process., 2019
Towards the Design of a Machine Learning-based Consumer Healthcare Platform powered by Electronic Health Records and measurement of Lifestyle through Smartphone Data.
Proceedings of the IEEE 23rd International Symposium on Consumer Technologies, 2019
Processing Acoustic Data with Siamese Neural Networks for Enhanced Road Roughness Classification.
Proceedings of the International Joint Conference on Neural Networks, 2019
2018
IEEE Trans. Emerg. Top. Comput. Intell., 2018
Snore Sounds Excitation Localization by Using Scattering Transform and Deep Neural Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 26th European Signal Processing Conference, 2018
2017
Road Type Classification Using Acoustic Signals: Deep Learning Models and Real-Time Implementation.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017
2015
Domestic Water and Natural Gas Demand Forecasting by Using Heterogeneous Data: A Preliminary Study.
Proceedings of the Advances in Neural Networks: Computational and Theoretical Issues, 2015
A review of datasets and load forecasting techniques for smart natural gas and water grids: Analysis and experiments.
Neurocomputing, 2015
Proceedings of the 23rd European Signal Processing Conference, 2015
2014
Int. J. Distributed Sens. Networks, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Multi-resolution linear prediction based features for audio onset detection with bidirectional LSTM neural networks.
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the European Conference on Networks and Communications, 2014
2013
EURASIP J. Adv. Signal Process., 2013
2012
Proceedings of the Non-Cochlear Sound: Proceedings of the 38th International Computer Music Conference, 2012
2011
Adaptive Linear Prediction Filtering in DWT Domain for Real-Time Musical Onset Detection.
EURASIP J. Adv. Signal Process., 2011
Proceedings of the 2011 International Computer Music Conference, 2011