Listar por autor "Morán-Fernández, Laura"

Mostrando ítems 1-10 de 10

    • CUDA acceleration of MI-based feature selection methods 

      Beceiro, Bieito; González-Domínguez, Jorge; Morán-Fernández, Laura; Bolón-Canedo, Verónica; Touriño, Juan (Elsevier, 2024-08)
      [Abstract]: Feature selection algorithms are necessary nowadays for machine learning as they are capable of removing irrelevant and redundant information to reduce the dimensionality of the data and improve the quality of ...

    • Distributed classification based on distances between probability distributions in feature space 

      Montero Manso, Pablo; Morán-Fernández, Laura; Bolón-Canedo, Verónica; Vilar, José; Alonso-Betanzos, Amparo (Elsevier, 2019-09)
      [Abstract]: We consider a distributed framework where training and test samples drawn from the same distribution are available, with the training instances spread across disjoint nodes. In this setting, a novel learning ...

    • Feature Selection With Limited Bit Depth Mutual Information for Embedded Systems 

      Morán-Fernández, Laura; Bolón-Canedo, Verónica; Alonso-Betanzos, Amparo (MDPI AG, 2018-09-17)
      [Abstract] Data is growing at an unprecedented pace. With the variety, speed and volume of data flowing through networks and databases, newer approaches based on machine learning are required. But what is really big in Big ...

    • Feature selection with limited bit depth mutual information for portable embedded systems 

      Morán-Fernández, Laura; Sechidis, Konstantinos; Bolón-Canedo, Verónica; Alonso-Betanzos, Amparo; Brown, Gavin (Elsevier, 2020-06)
      [Abstract]: Since wearable computing systems have grown in importance in the last years, there is an increased interest in implementing machine learning algorithms with reduced precision parameters/computations. Not only ...

    • How Important Is Data Quality? Best Classifiers vs Best Features 

      Morán-Fernández, Laura; Bolón-Canedo, Verónica; Alonso-Betanzos, Amparo (Elsevier, 2021)
      [Abstract] The task of choosing the appropriate classifier for a given scenario is not an easy-to-solve question. First, there is an increasingly high number of algorithms available belonging to different families. And ...

    • Incidence and prognosis of colorectal cancer after heart transplantation: data from the spanish post-heart transplant tumor registry 

      Sagastagoitia-Fornie, Marta; Morán-Fernández, Laura; Blázquez-Bermejo, Zorba; Díaz-Molina, Beatriz; Gómez-Bueno, Manuel; Almenar-Bonet, Luis; López Granados, Amador; González-Vílchez, Francisco; Mirabet-Pérez, Sonia; García-Romero, Elena; Sobrino-Márquez, José Manuel; Rábago Juan-Aracil, Gregorio; Castel-Lavilla, María Ángeles; Blasco-Peiró, Teresa; Garrido-Bravo, Iris P.; De la Fuente-Galán, Luis; Muñiz, Javier; Crespo-Leiro, María Generosa (Frontiers, 2023-05)
      [Abstract] In this observational and multicenter study, that included all patients who underwent a heart transplantation (HT) in Spain from 1984 to 2018, we analyzed the incidence, management, and prognosis of colorectal ...

    • Low-Precision Feature Selection on Microarray Data: An Information Theoretic Approach 

      Morán-Fernández, Laura; Bolón-Canedo, Verónica; Alonso-Betanzos, Amparo (Springer, 2022)
      [Abstract] The number of interconnected devices, such as personal wearables, cars, and smart-homes, surrounding us every day has recently increased. The Internet of Things devices monitor many processes, and have the ...

    • Reduced precision discretization based on information theory 

      Ares, Brais; Morán-Fernández, Laura; Bolón-Canedo, Verónica (Elsevier, 2022-01)
      [Abstract] In recent years, new technological areas have emerged and proliferated, such as the Internet of Things or embedded systems in drones, which are usually characterized by making use of devices with strict requirements ...

    • Serum Potassium Dynamics During Acute Heart Failure Hospitalization 

      Caravaca Pérez, Pedro; González-Juanatey, J.R.; Nuche, Jorge; Morán-Fernández, Laura; Lora Pablos, David; Álvarez-García, Jesús; Bascompte Claret, Ramón; Martínez-Sellés, Manuel; Vázquez García, Rafael; Martínez Dolz, Luis; Cobo-Marcos, Marta; Pascual Figal, Domingo A.; Crespo-Leiro, María Generosa; Núñez Villota, Julio; Cinca Cuscullola, Juan; Delgado-Jiménez, Juan F. (Springer, 2020-10-17)
      [Abstract] Background. Available information about prognostic implications of potassium levels alteration in the setting of acute heart failure (AHF) is scarce. Objectives. We aim to describe the prevalence of ...

    • Simple but Not Simplistic: Reducing the Complexity of Machine Learning Methods 

      Morán-Fernández, Laura (2020)
      [Resumo] A chegada do Big Data e a explosión do Internet das cousas supuxeron un gran reto para os investigadores en Aprendizaxe Automática, facendo que o proceso de aprendizaxe sexa mesmo roáis complexo. No mundo real, ...