Search Results - "Fernandez, Laura Morán"

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    The development of chronic diuretic resistance can be predicted during a heart-failure hospitalization. Results from the REDIHF registry by Blázquez-Bermejo, Zorba, Farré, Nuria, Llagostera, Marc, Caravaca Perez, Pedro, Morán-Fernández, Laura, Fort, Aleix, De-Juan, Javier, Ruiz, Sonia, Delgado, Juan F

    Published in PloS one (02-10-2020)
    “…Introduction Diuretic resistance (DR) is a common condition during a heart failure (HF) hospitalization, and is related to worse prognosis. Although the risk…”
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    Journal Article
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    Dose of furosemide before admission predicts diuretic efficiency and long‐term prognosis in acute heart failure by Blázquez‐Bermejo, Zorba, Farré, Nuria, Caravaca Perez, Pedro, Llagostera, Marc, MoránFernández, Laura, Fort, Aleix, Juan Bagudá, Javier, García‐Cosio, María Dolores, Ruiz‐Bustillo, Sonia, Delgado, Juan F.

    Published in ESC Heart Failure (01-02-2022)
    “…Aims The outpatient diuretic dose is a marker of diuretic resistance and prognosis in chronic heart failure (HF). Still, the impact of the preadmission dose on…”
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    Journal Article
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    A review of green artificial intelligence: Towards a more sustainable future by Bolón-Canedo, Verónica, Morán-Fernández, Laura, Cancela, Brais, Alonso-Betanzos, Amparo

    Published in Neurocomputing (Amsterdam) (28-09-2024)
    “…Green artificial intelligence (AI) is more environmentally friendly and inclusive than conventional AI, as it not only produces accurate results without…”
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    Do all roads lead to Rome? Studying distance measures in the context of machine learning by Blanco-Mallo, Eva, Morán-Fernández, Laura, Remeseiro, Beatriz, Bolón-Canedo, Verónica

    Published in Pattern recognition (01-09-2023)
    “…•Review of the most commonly used distance measures in machine learning•Analysis of their main properties, applications and key aspects to consider•The…”
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    How important is data quality? Best classifiers vs best features by Morán-Fernández, Laura, Bólon-Canedo, Verónica, Alonso-Betanzos, Amparo

    Published in Neurocomputing (Amsterdam) (22-01-2022)
    “…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…”
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    Towards federated feature selection: Logarithmic division for resource-conscious methods by Suárez-Marcote, Samuel, Morán-Fernández, Laura, Bolón-Canedo, Verónica

    Published in Neurocomputing (Amsterdam) (01-09-2024)
    “…Feature selection is a popular preprocessing step to reduce the dimensionality of the data while preserving the important information. In this paper, we…”
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    Finding a needle in a haystack: insights on feature selection for classification tasks by Morán-Fernández, Laura, Bolón-Canedo, Verónica

    Published in Journal of intelligent information systems (01-04-2024)
    “…The growth of Big Data has resulted in an overwhelming increase in the volume of data available, including the number of features. Feature selection, the…”
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    Inoperable chronic thromboembolic pulmonary hypertension treated with riociguat: A case study by Ortiz-Bautista, Carlos, Ochoa-Parra, Nuria, Navas-Tejedor, Paula, Morán-Fernández, Laura, Gómez-Sánchez, Miguel Ángel

    Published in Revista portuguesa de cardiologia (01-12-2015)
    “…A 51-year-old woman presented with a one-year history of progressive dyspnea, WHO functional class III-IV and exercise-related syncope. Transthoracic…”
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    CUDA acceleration of MI-based feature selection methods by Beceiro, Bieito, González-Domínguez, Jorge, Morán-Fernández, Laura, Bolón-Canedo, Verónica, Touriño, Juan

    “…Feature selection algorithms are necessary nowadays for machine learning as they are capable of removing irrelevant and redundant information to reduce the…”
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    A Review of Microarray Datasets: Where to Find Them and Specific Characteristics by Alonso-Betanzos, Amparo, Bolón-Canedo, Verónica, Morán-Fernández, Laura, Sánchez-Maroño, Noelia

    “…The advent of DNA microarray datasets has stimulated a new line of research both in bioinformatics and in machine learning. This type of data is used to…”
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    Feature selection with limited bit depth mutual information for portable embedded systems by Morán-Fernández, Laura, Sechidis, Konstantinos, Bolón-Canedo, Verónica, Alonso-Betanzos, Amparo, Brown, Gavin

    Published in Knowledge-based systems (07-06-2020)
    “…Since wearable computing systems have grown in importance in the last years, there is an increased interest in implementing machine learning algorithms with…”
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    Low-precision feature selection on microarray data: an information theoretic approach by Morán-Fernández, Laura, Bolón-Canedo, Verónica, Alonso-Betanzos, Amparo

    “…The number of interconnected devices, such as personal wearables, cars, and smart-homes, surrounding us every day has recently increased. The Internet of…”
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    Feature Selection Applied to Microarray Data by Alonso-Betanzos, Amparo, Bolón-Canedo, Verónica, Morán-Fernández, Laura, Seijo-Pardo, Borja

    “…A typical characteristic of microarray data is that it has a very high number of features (in the order of thousands) while the number of examples is usually…”
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    Distributed classification based on distances between probability distributions in feature space by Montero-Manso, Pablo, Morán-Fernández, Laura, Bolón-Canedo, Verónica, Vilar, José A., Alonso-Betanzos, Amparo

    Published in Information sciences (01-09-2019)
    “…We consider a distributed framework where training and test samples drawn from the same distribution are available, with the training instances spread across…”
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    Machine Learning Methods for Predicting League of Legends Game Outcome by Hitar-Garcia, Juan Agustin, Moran-Fernandez, Laura, Bolon-Canedo, Veronica

    Published in IEEE transactions on games (01-06-2023)
    “…The video game League of Legends has several professional leagues and tournaments that offer prizes reaching several million dollars, making it one of the most…”
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