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20092026
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147 citations

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cs.CR2022★ 4 cited

Partially Oblivious Neural Network Inference

Panagiotis Rizomiliotis, Christos Diou, Aikaterini Triakosia +2

Oblivious inference is the task of outsourcing a ML model, like neural-networks, without disclosing critical and sensitive information, like the model's parameters. One of the most…

cs.LG2022★ 7 cited

A Domain Generalization Approach for Out-Of-Distribution 12-lead ECG Classification with Convolutional Neural Networks

Aristotelis Ballas, Christos Diou

Deep Learning systems have achieved great success in the past few years, even surpassing human intelligence in several cases. As of late, they have also established themselves in t…

cs.CV2022★ 7 cited

Multi-layer Representation Learning for Robust OOD Image Classification

Aristotelis Ballas, Christos Diou

Convolutional Neural Networks have become the norm in image classification. Nevertheless, their difficulty to maintain high accuracy across datasets has become apparent in the past…

cs.HC2022★ 5 cited

Intake Monitoring in Free-Living Conditions: Overview and Lessons we Have Learned

Christos Diou, Konstantinos Kyritsis, Vasileios Papapanagiotou +1

The progress in artificial intelligence and machine learning algorithms over the past decade has enabled the development of new methods for the objective measurement of eating, inc…

cs.CV2022★ 29 cited

Self-supervised Contrastive Learning for Volcanic Unrest Detection

Nikolaos Ioannis Bountos, Ioannis Papoutsis, Dimitrios Michail +1

Ground deformation measured from Interferometric Synthetic Aperture Radar (InSAR) data is considered a sign of volcanic unrest, statistically linked to a volcanic eruption. Recent…