Francesco Paissan
Orcid: 0000-0002-5553-7935
According to our database1,
Francesco Paissan
authored at least 28 papers
between 2019 and 2024.
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Bibliography
2024
ACM Trans. Embed. Comput. Syst., May, 2024
CoRR, 2024
SpeechBrain-MOABB: An open-source Python library for benchmarking deep neural networks applied to EEG signals.
Comput. Biol. Medicine, 2024
An empirical evaluation of tinyML architectures for Class-Incremental Continual Learning.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024
Proceedings of the 2024 IEEE 5th International Symposium on the Internet of Sounds (IS2), Erlangen, Germany, September 30, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024
Structured Sparse Back-propagation for Lightweight On-Device Continual Learning on Microcontroller Units.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
CoRR, 2023
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023
Improving latency performance trade-off in keyword spotting applications at the edge.
Proceedings of the 9th International Workshop on Advances in Sensors and Interfaces, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
ACM Trans. Embed. Comput. Syst., September, 2022
Proceedings of the IEEE Sensors Applications Symposium, 2022
Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Optimizing PhiNet architectures for the detection of urban sounds on low-end devices.
Proceedings of the 30th European Signal Processing Conference, 2022
Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022
2021
Enabling energy efficient machine learning on a Ultra-Low-Power vision sensor for IoT.
CoRR, 2021
2019
Proceedings of the IEEE 8th International Workshop on Advances in Sensors and Interfaces, 2019