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A. Kritikakou

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#artificial intelligence Preprint Sep 2026

TreeFI: Value-Aware Statistical Fault Injection for Deep Neural Networks

TreeFI, a value-aware statistical fault-injection methodology for FP32 single-bit faults in DNN activations and weights, is proposed and validated, providing more accurate estimates than state-of-the-art statistical FI baselines under the same campaign setting.

Noam Bires, Marcello Traiola, Angeliki Kritikakou et al. · 0 citations
Open access Jul 2026

Optimal and Energy Efficient Imprecise Computation Task Deployment on Heterogeneous Multicore Platforms Combining DVFS and DPM

A novel QoS-aware task deployment methodology to enhance the Quality of Service (QoS) under resource limitations is introduced and results demonstrate that the proposed method achieves superior system performance compared to existing approaches.

Haotong Zhu, Lei Mo, T. Al-Hasan et al. · 0 citations

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