Simone Disabato

Orcid: 0000-0001-5991-2651

According to our database1, Simone Disabato authored at least 11 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Bibliography

2024
Tiny Machine Learning for Concept Drift.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

2022
Deep and wide tiny machine learning.
PhD thesis, 2022

2021
Distributed Deep Convolutional Neural Networks for the Internet-of-Things.
IEEE Trans. Computers, 2021

Birdsong Detection at the Edge with Deep Learning.
Proceedings of the IEEE International Conference on Smart Computing, 2021

2020
An energy harvesting solution for computation offloading in Fog Computing networks.
Comput. Commun., 2020

Incremental On-Device Tiny Machine Learning.
Proceedings of the AIChallengeIoT@SenSys 2020: Proceedings of the 2nd International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things, 2020

A Computational Intelligence Characterization of Solar Magnetograms.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Privacy-Preserving Distributed Architecture for Deep-Learning-as-a-Service.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Learning Convolutional Neural Networks in presence of Concept Drift.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Moving convolutional neural networks to embedded systems: the alexnet and VGG-16 case.
Proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2018

Reducing the Computation Load of Convolutional Neural Networks through Gate Classification.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018


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