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Kernel alignment for identifying objective criteria from brain MEG recordings in schizophrenia
(Elsevier, 2016-08-02)
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Article.
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The current wide access to data from different neuroimaging techniques has permitted to obtain data to explore the possibility of finding objective criteria that can be used for diagnostic purposes. In order to decide which ...
“Dust in the wind...”, deep learning application to wind energy time series forecasting
(2019-06-21)
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Article.
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To balance electricity production and demand, it is required to use different prediction techniques extensively. Renewable energy, due to its intermittency, increases the complexity and uncertainty of forecasting, and the ...
Assessing spatiotemporal correlations from data for short-term traffic prediction using multi-task learning
(Elsevier, 2018-12-04)
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Article.
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Traffic flow prediction is a fundamental problem for efficient transportation control and management. However, most current data-driven traffic prediction work found in the literature have focused on predicting traffic ...
On the improvement of the mapping trustworthiness and continuity of a manifold learning model
(2008-11)
Article.
Accés restringit per política de l'editorial
Article.
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Manifold learningmethodsmodel high-dimensional data through low-dimensional manifolds embedded in the observed data space. This simplification implies that their are prone to trustworthiness and continuity errors. Generative ...
Ad-RuLer: A novel rule-driven data synthesis technique for imbalanced classification
(Multidisciplinary Digital Publishing Institute, 2023-11-23)
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Article.
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When classifiers face imbalanced class distributions, they often misclassify minority class samples, consequently diminishing the predictive performance of machine learning models. Existing oversampling techniques predominantly ...
Converses al voltant de la intel·ligència artificial en clau catalana
(2020-12)
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Article.
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La intel·ligència artificial mou milions d’euros i ocupa una part important de les agendes polítiques i estratègiques dels governs. En aquest article reflexionem sobre aquest concepte difús i ho fem a través de tres ...
Interpretable prediction of mortality in liver transplant recipients based on machine learning
(Elsevier, 2022-12)
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Article.
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Background: Accurate prediction of the mortality of post-liver transplantation is an important but challenging task. It relates to optimizing organ allocation and estimating the risk of possible dysfunction. Existing risk ...
Horn query learning with multiple refinement
(2008)
Article.
Accés restringit per política de l'editorial
Article.
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In this paper we try to understand the heuristics that underlie the decisions made by the Horn query learning algorithm proposed in [1]. We take advantage of our explicit representation of such heuristics
in order to ...
Societal issues concerning the application of artificial intelligence in medicine
(Karger, 2019-02)
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Article.
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Medicine is becoming an increasingly data-centred discipline and, beyond classical statistical approaches, artificial intelligence (AI) and, in particular, machine learning (ML) are attracting much interest for the analysis ...
Aprendizaje autómatico
(Asociación de Técnicos de Informática, 1998-01)
Article.
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Article.
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