Fabrizio De Vita

28 papers B 11C 1Journal 11Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On-device Artificial Intelligence solutions with applications to smart environments. Future Gener. Comput. Syst. Fabrizio De Vita, Dario Bruneo, Sajal K. Das
2025	B	`conf`	Exploiting Synaptic Traces for Online Weight Adaptation in Spiking Autoencoder Networks. IJCNN Enrico Catalfamo, Fabrizio De Vita, Rawan M. A. Nawaiseh, Dario Bruneo
2025	J	`jnl`	Fault Diagnosis in IoT Applications: Advances, Challenges, and Future Directions. J. Sens. Actuator Networks Giovanni Cicceri, Fabrizio De Vita
2025	—	`conf`	Sparse-FF: Enhancing Forward-Forward Efficiency by Promoting Sparsity. WF-IoT Fabrizio De Vita, Enrico Catalfamo, Rawan M. A. Nawaiseh, Dario Bruneo
2025	B	`conf`	Spiking Networked System for Anomaly Detection in Vision-Guided Robots. IJCNN Antonino Maio, Enrico Catalfamo, Fabrizio De Vita, Luca Patanè, Dario Bruneo
2024	B	`conf`	A Numerical Comparison of Deeply Quantized Models for sEMG Hand Gesture Classification on Constrained Devices. SMARTCOMP Emanuele Giuseppe Siani, Laura Scigliano, Dario Bruneo, Fabrizio De Vita, Valeria Tomaselli, Danilo Pau
2024	B	`conf`	Leveraging Homeostatic Plasticity to Enable Anomaly Detection in Spiking Neural Networks. SMARTCOMP Rawan M. A. Nawaiseh, Fabrizio De Vita, Enrico Catalfamo, Dario Bruneo
2024	C	`ed.`	Proceedings of the 39th ECMS International Conference on Modelling and Simulation, ECMS 2025, Catania, Italy, June 2025. ECMS Marco Scarpa, Salvatore Cavalieri, Salvatore Serrano, Fabrizio De Vita
2023	J	`jnl`	A Novel Echo State Network Autoencoder for Anomaly Detection in Industrial IoT Systems. IEEE Trans. Ind. Informatics Fabrizio De Vita, Giorgio Nocera, Dario Bruneo, Sajal K. Das
2023	J	`jnl`	A Process Mining-based unsupervised Anomaly Detection technique for the Industrial Internet of Things. Internet Things Francesco Vitale, Fabrizio De Vita, Nicola Mazzocca, Dario Bruneo
2023	B	`conf`	µ-FF: On-Device Forward-Forward Training Algorithm for Microcontrollers. SMARTCOMP Fabrizio De Vita, Rawan M. A. Nawaiseh, Dario Bruneo, Valeria Tomaselli, Marco Lattuada, Mirko Falchetto
2022	J	`jnl`	A fog-assisted system to defend against Sybils in vehicular crowdsourcing. Pervasive Mob. Comput. Federico Concone, Fabrizio De Vita, Ajay Pratap, Dario Bruneo, Giuseppe Lo Re, Sajal K. Das
2022	J	`jnl`	Detecting Faults at the Edge via Sensor Data Fusion Echo State Networks. Sensors Dario Bruneo, Fabrizio De Vita
2022	—	`conf`	On-Device Training of Deep Learning Models on Edge Microcontrollers. iThings/GreenCom/CPSCom/SmartData/Cybermatics Fabrizio De Vita, Giorgio Nocera, Dario Bruneo, Valeria Tomaselli, Mirko Falchetto
2022	—	`conf`	Traffic Condition Estimation at the Smart City Edge using Deep Learning: A Ro-Pax Terminal Case Study. ISC2 Fabrizio De Vita, Giorgio Nocera, Orlando Marco Belcore, Antonio Polimeni, Francesco Longo, Dario Bruneo, Massimo Di Gangi
2021	B	`conf`	A Cloud Platform for Collecting and Processing Road Pavement Multi Sensor Data. SMARTCOMP Fabrizio De Vita, Giuseppe Sollazzo, Dario Bruneo, Orazio Pellegrino, Gaetano Bosurgi
2021	B	`conf`	A Novel Recruitment Policy to Defend against Sybils in Vehicular Crowdsourcing. SMARTCOMP Federico Concone, Fabrizio De Vita, Ajay Pratap, Dario Bruneo, Giuseppe Lo Re, Sajal K. Das
2021	B	`conf`	A Semi-Supervised Bayesian Anomaly Detection Technique for Diagnosing Faults in Industrial IoT Systems. SMARTCOMP Fabrizio De Vita, Dario Bruneo, Sajal K. Das
2021	J	`jnl`	Porting deep neural networks on the edge via dynamic K-means compression: A case study of plant disease detection. Pervasive Mob. Comput. Fabrizio De Vita, Giorgio Nocera, Dario Bruneo, Valeria Tomaselli, Davide Giacalone, Sajal K. Das
2020	—	`conf`	A Novel Data Collection Framework for Telemetry and Anomaly Detection in Industrial IoT Systems. IoTDI Fabrizio De Vita, Dario Bruneo, Sajal K. Das
2020	J	`jnl`	A deep learning approach for pressure ulcer prevention using wearable computing. Hum. centric Comput. Inf. Sci. Giovanni Cicceri, Fabrizio De Vita, Dario Bruneo, Giovanni Merlino, Antonio Puliafito
2020	J	`jnl`	Leveraging Stack4Things for Federated Learning in Intelligent Cyber Physical Systems. J. Sens. Actuator Networks Fabrizio De Vita, Dario Bruneo
2020	J	`jnl`	On the use of a full stack hardware/software infrastructure for sensor data fusion and fault prediction in industry 4.0. Pattern Recognit. Lett. Fabrizio De Vita, Dario Bruneo, Sajal K. Das
2020	B	`conf`	Quantitative Analysis of Deep Leaf: a Plant Disease Detector on the Smart Edge. SMARTCOMP Fabrizio De Vita, Giorgio Nocera, Dario Bruneo, Valeria Tomaselli, Davide Giacalone, Sajal K. Das
2019	B	`conf`	On the Use of LSTM Networks for Predictive Maintenance in Smart Industries. SMARTCOMP Dario Bruneo, Fabrizio De Vita
2019	J	`jnl`	Using Deep Reinforcement Learning for Application Relocation in Multi-Access Edge Computing. IEEE Commun. Stand. Mag. Fabrizio De Vita, Giovanni Nardini, Antonio Virdis, Dario Bruneo, Antonio Puliafito, Giovanni Stea
2018	B	`conf`	A Deep Learning Approach for Indoor User Localization in Smart Environments. SMARTCOMP Fabrizio De Vita, Dario Bruneo
2018	—	`conf`	A Deep Reinforcement Learning Approach For Data Migration in Multi-Access Edge Computing. Kaleidoscope Fabrizio De Vita, Dario Bruneo, Antonio Puliafito, Giovanni Nardini, Antonio Virdis, Giovanni Stea