214 citations · 382 across the 4 of their papers we have counts for
4 papers
Shifts 2.0: Extending The Dataset of Real Distributional Shifts
Andrey Malinin, Andreas Athanasopoulos, Muhamed Barakovic +15
Distributional shift, or the mismatch between training and deployment data, is a significant obstacle to the usage of machine learning in high-stakes industrial applications, such…
MAIN: Multihead-Attention Imputation Networks
Spyridon Mouselinos, Kyriakos Polymenakos, Antonis Nikitakis +1
The problem of missing data, usually absent incurated and competition-standard datasets, is an unfortunate reality for most machine learning models used in industry applications. R…
Tensor-based Nonlinear Classifier for High-Order Data Analysis
Konstantinos Makantasis, Anastasios Doulamis, Nikolaos Doulamis +2
In this paper we propose a tensor-based nonlinear model for high-order data classification. The advantages of the proposed scheme are that (i) it significantly reduces the number o…
Tensor-Based Classifiers for Hyperspectral Data Analysis
Konstantinos Makantasis, Anastasios Doulamis, Nikolaos Doulamis +1
In this work, we present tensor-based linear and nonlinear models for hyperspectral data classification and analysis. By exploiting principles of tensor algebra, we introduce new c…