• A hybrid CUDA, OpenMP, and MPI parallel TCA-based domain adaptation for classification of very high-resolution remote sensing images 

  Suárez Garea, Jorge Alberto; Blanco Heras, Dora; Argüello Pedreira, Francisco Santiago; Demir, Begüm (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 

  Aller Domínguez, Martín; Cotos Yáñez, José Manuel; Villarroya Fernández, Sebastián (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 

  García Polo, Francisco Javier; Visús, Álvaro; Fernández Rebollo, Fernando (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 

  Stepin, Ilia; Alonso Moral, Jose María; Catalá Bolos, Alejandro; Pereira Fariña, Martín (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 

  Vaquero Otal, Lorenzo; Brea Sánchez, Víctor Manuel; Mucientes Molina, Manuel Felipe (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 ...

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