Quantitative Analysis of Deep Leaf: a Plant Disease Detector on the Smart Edge. - Fabrizio De Vita; Giorgio Nocera; Dario Bruneo; Valeria Tomaselli; Davide Giacalone; Sajal K. Das 001 (SMARTCOMP, 2020)

Porting deep neural networks on the edge via dynamic K-means compression: A case study of plant disease detection. - Fabrizio De Vita; Giorgio Nocera; Dario Bruneo; Valeria Tomaselli; Davide Giacalone; Sajal K. Das 001 (Pervasive Mob. Comput., 2021)

Traffic Condition Estimation at the Smart City Edge using Deep Learning: A Ro-Pax Terminal Case Study. - Fabrizio De Vita; Giorgio Nocera; Orlando Marco Belcore; Antonio Polimeni; Francesco Longo 001; Dario Bruneo; Massimo Di Gangi (ISC2, 2022)

On-Device Training of Deep Learning Models on Edge Microcontrollers. - Fabrizio De Vita; Giorgio Nocera; Dario Bruneo; Valeria Tomaselli; Mirko Falchetto (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2022)

A Novel Echo State Network Autoencoder for Anomaly Detection in Industrial IoT Systems. - Fabrizio De Vita; Giorgio Nocera; Dario Bruneo; Sajal K. Das 001 (IEEE Trans. Ind. Informatics, 2023)