activity
20202023
most citedResilience of Deep Learning applications: a systematic literature review of analysis and hardening techniques

3 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2023★ 3 cited

Resilience of Deep Learning applications: a systematic literature review of analysis and hardening techniques

Cristiana Bolchini, Luca Cassano, Antonio Miele

Machine Learning (ML) is currently being exploited in numerous applications being one of the most effective Artificial Intelligence (AI) technologies, used in diverse fields, such…

cs.AR2022★ 1 cited

Fast and Accurate Error Simulation for CNNs against Soft Errors

Cristiana Bolchini, Luca Cassano, Antonio Miele +1

The great quest for adopting AI-based computation for safety-/mission-critical applications motivates the interest towards methods for assessing the robustness of the application w…

cs.RO2021

Energy-Efficient Mobile Robot Control via Run-time Monitoring of Environmental Complexity and Computing Workload

Sherif A. S. Mohamed, Mohammad-Hashem Haghbayan, Antonio Miele +2

We propose an energy-efficient controller to minimize the energy consumption of a mobile robot by dynamically manipulating the mechanical and computational actuators of the robot.…

cs.CV2020

Asynchronous Corner Tracking Algorithm based on Lifetime of Events for DAVIS Cameras

Sherif A. S. Mohamed, Jawad N. Yasin, Mohammad-Hashem Haghbayan +4

Event cameras, i.e., the Dynamic and Active-pixel Vision Sensor (DAVIS) ones, capture the intensity changes in the scene and generates a stream of events in an asynchronous fashion…

cs.CV2020

Dynamic Resource-aware Corner Detection for Bio-inspired Vision Sensors

Sherif A. S. Mohamed, Jawad N. Yasin, Mohammad-hashem Haghbayan +4

Event-based cameras are vision devices that transmit only brightness changes with low latency and ultra-low power consumption. Such characteristics make event-based cameras attract…