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A hybrid CUDA, OpenMP, and MPI parallel TCA-based domain adaptation for classification of very high-resolution remote sensing images
(Springer, 2022)Domain Adaptation (DA) is a technique that aims at extracting information from a labeled remote sensing image to allow classifying a different image obtained by the same sensor but at a different geographical location. ... -
Study and comparison of different Machine Learning-based approaches to solve the inverse problem in Electrical Impedance Tomographies
(Springer, 2022)Electrical Impedance Tomography (EIT) is a non-invasive technique used to obtain the electrical internal conductivity distribution from the interior of bodies. This is a promising method from the manufacturing viewpoint, ... -
A taxonomy for similarity metrics between Markov decision processes
(Springer, 2022)Although the notion of task similarity is potentially interesting in a wide range of areas such as curriculum learning or automated planning, it has mostly been tied to transfer learning. Transfer is based on the idea of ... -
An empirical study on how humans appreciate automated counterfactual explanations which embrace imprecise information
(Elsevier, 2022)The explanatory capacity of interpretable fuzzy rule-based classifiers is usually limited to offering explanations for the predicted class only. A lack of potentially useful explanations for non-predicted alternatives can ... -
Real-time siamese multiple object tracker with enhanced proposals
(Elsevier, 2023)Maintaining the identity of multiple objects in real-time video is a challenging task, as it is not always feasible to run a detector on every frame. Thus, motion estimation systems are often employed, which either do not ...