Reducing the Computation Load of Convolutional Neural Networks through Gate Classification. - Simone Disabato; Manuel Roveri (IJCNN, 2018)

Moving convolutional neural networks to embedded systems: the alexnet and VGG-16 case. - Cesare Alippi; Simone Disabato; Manuel Roveri (IPSN, 2018)

Learning Convolutional Neural Networks in presence of Concept Drift. - Simone Disabato; Manuel Roveri (IJCNN, 2019)

A Privacy-Preserving Distributed Architecture for Deep-Learning-as-a-Service. - Simone Disabato; Alessandro Falcetta; Alessio Mongelluzzo; Manuel Roveri (IJCNN, 2020)

A Computational Intelligence Characterization of Solar Magnetograms. - Julio J. Valdés; Ljubomir Nikolic; Simone Disabato; Manuel Roveri (IJCNN, 2020)

Incremental On-Device Tiny Machine Learning. - Simone Disabato; Manuel Roveri (AIChallengeIoT@SenSys, 2020)

An energy harvesting solution for computation offloading in Fog Computing networks. - Arash Bozorgchenani; Simone Disabato; Daniele Tarchi; Manuel Roveri (Comput. Commun., 2020)

Birdsong Detection at the Edge with Deep Learning. - Simone Disabato; Giuseppe Canonaco; Paul G. Flikkema; Manuel Roveri; Cesare Alippi (SMARTCOMP, 2021)

Distributed Deep Convolutional Neural Networks for the Internet-of-Things. - Simone Disabato; Manuel Roveri; Cesare Alippi (IEEE Trans. Computers, 2021)

Deep and wide tiny machine learning. - Simone Disabato (2022)

Tiny Machine Learning for Concept Drift. - Simone Disabato; Manuel Roveri (IEEE Trans. Neural Networks Learn. Syst., 2024)