113 citations · 236 across the 18 of their papers we have counts for
3 papers · 1 filter
Tiny Classifier Circuits: Evolving Accelerators for Tabular Data
Konstantinos Iordanou, Timothy Atkinson, Emre Ozer +4
A typical machine learning (ML) development cycle for edge computing is to maximise the performance during model training and then minimise the memory/area footprint of the trained…
Single Event Effects Assessment of UltraScale+ MPSoC Systems under Atmospheric Radiation
Dimitris Agiakatsikas, Nikos Foutris, Aitzan Sari +9
The AMD UltraScale+ XCZU9EG device is a Multi-Processor System-on-Chip (MPSoC) with embedded Programmable Logic (PL) that excels in many Edge (e.g., automotive or avionics) and Clo…
A Unified Theory of Diversity in Ensemble Learning
Danny Wood, Tingting Mu, Andrew Webb +3
We present a theory of ensemble diversity, explaining the nature of diversity for a wide range of supervised learning scenarios. This challenge has been referred to as the holy gra…