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Subject: Ensemble learning (Machine learning)
Subject: Ensemble learning (Machine learning)
FAST ID: 2023707 |
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Academic Publications
E2CNNs: Ensembles of Convolutional Neural Networks to Improve Robustness Against Memory Errors in Edge-Computing Devices
Flavio Ponzina
; Miguel Peon-Quiros; Andreas Burg; David Atienza
IEEE Transactions on Computers
, 2021,
journal article
,
Grants Research and Enterprise Writing (GREW) Fellows
Edge computing
Ensemble learning (Machine learning)
Robust control
Conference Presentations
Multi-Model Inference Composition of Hyperdimensional Computing Ensembles
Flavio Ponzina
; Rishikanth Chandrasekaran; Anya Wang; Seiji Minowada; Siddharth Sharma; Tajana Rosing
2024 IEEE 42Nd International Conference on Computer Design (Iccd)
, 2024,
conference paper
,
Grants Research and Enterprise Writing (GREW) Fellows
Artificial intelligence
Ensemble learning (Machine learning)
Heterogeneous distributed computing systems
Neural networks (Computer science)
Using ensemble learning to improve radiation tolerance of CNNs in space applications
Flavio Ponzina
; et al.
Spaice
, 2024,
conference paper
,
Grants Research and Enterprise Writing (GREW) Fellows
Computer science
Ensemble learning (Machine learning)
Exploration of outer space