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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
Q1
, view journal ranking details
OA
, Green Open Access Journal
IEEE Transactions on Computers
OA classification
Green Open Access Journal
IEEE Transactions on Computers (2021)
SJR
1.2430
H-index
148
Publisher
IEEE Computer Society
ISSN
00189340, 15579956
Coverage
1968-2026
Journal quartile details
Discipline
Overall Quartile
Not reported
Q1
A discipline-specific ranking was unavailable; the title-level overall quartile is shown.
Cited by 23
Electrical and Computer Engineering
GREW Fellow
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
Electrical and Computer Engineering
GREW Fellow
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
Electrical and Computer Engineering
GREW Fellow
Computer science
Ensemble learning (Machine learning)
Exploration of outer space