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07/09/2023
Ensemble learning for blending gridded satellite and gauge-measured precipitation data
Regression algorithms are regularly used for improving the accuracy of s...
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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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12/31/2022
Comparison of tree-based ensemble algorithms for merging satellite and earth-observed precipitation data at the daily time scale
Merging satellite products and ground-based measurements is often requir...
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12/17/2022
Comparison of machine learning algorithms for merging gridded satellite and earth-observed precipitation data
Gridded satellite precipitation datasets are useful in hydrological appl...
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11/17/2022
Solar Power driven EV Charging Optimization with Deep Reinforcement Learning
Power sector decarbonization plays a vital role in the upcoming energy t...
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09/20/2022
Diabetic foot ulcers monitoring by employing super resolution and noise reduction deep learning techniques
Diabetic foot ulcers (DFUs) constitute a serious complication for people...
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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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05/24/2022
TraCon: A novel dataset for real-time traffic cones detection using deep learning
Substantial progress has been made in the field of object detection in r...
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05/09/2022
Robotic Maintenance of Road Infrastructures: The HERON Project
Of all public assets, road infrastructure tops the list. Roads are cruci...
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07/02/2021
Evaluating the Usefulness of Unsupervised monitoring in Cultural Heritage Monuments
In this paper, we scrutinize the effectiveness of various clustering tec...
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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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05/30/2020
Semi-Supervised Fine-Tuning for Deep Learning Models in Remote Sensing Applications
A combinatory approach of two well-known fields: deep learning and semi ...
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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
Tensor-based Nonlinear Classifier for High-Order Data Analysis
In this paper we propose a tensor-based nonlinear model for high-order d...
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09/24/2017
Tensor-Based Classifiers for Hyperspectral Data Analysis
In this work, we present tensor-based linear and nonlinear models for hy...
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07/31/2016
Data-Driven Background Subtraction Algorithm for in-Camera Acceleration in Thermal Imagery
Detection of moving objects in videos is a crucial step towards successf...
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06/29/2015