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03/02/2023
A Few-Shot Attention Recurrent Residual U-Net for Crack Segmentation
Recent studies indicate that deep learning plays a crucial role in the a...
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07/05/2022
Automatic inspection of cultural monuments using deep and tensor-based learning on hyperspectral imagery
In Cultural Heritage, hyperspectral images are commonly used since they ...
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07/05/2022
Towards trustworthy Energy Disaggregation: A review of challenges, methods and perspectives for Non-Intrusive Load Monitoring
Non-intrusive load monitoring (NILM) is the task of disaggregating the t...
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04/11/2021
Rank-R FNN: A Tensor-Based Learning Model for High-Order Data Classification
An increasing number of emerging applications in data science and engine...
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08/12/2020
Pixel-level Corrosion Detection on Metal Constructions by Fusion of Deep Learning Semantic and Contour Segmentation
Corrosion detection on metal constructions is a major challenge in civil...
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04/17/2020
Space-Time Domain Tensor Neural Networks: An Application on Human Pose Recognition
Recent advances in sensing technologies require the design and developme...
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02/06/2019
Common Mode Patterns for Supervised Tensor Subspace Learning
In this work we propose a method for reducing the dimensionality of tens...
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02/15/2018
