Publicaciones en las que colabora con EMILIO SORIA OLIVAS (47)

2024

  1. A machine learning approach to identify groups of patients with hematological malignant disorders

    Computer Methods and Programs in Biomedicine, Vol. 246

2023

  1. Empirical study of the modulus as activation function in computer vision applications

    Engineering Applications of Artificial Intelligence, Vol. 120

2022

  1. Approaching sales forecasting using recurrent neural networks and transformers

    Expert Systems with Applications, Vol. 201

2021

  1. Analysis of the pre and post-covid-19 lockdown use of smartphone apps in Spain

    Applied Sciences (Switzerland), Vol. 11, Núm. 13

  2. End-to-end Keyword Spotting using Xception-1d

    ESANN 2021 Proceedings - 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

2016

  1. Multi-step strategy for mortality assessment in cardiovascular risk patients with imbalanced data

    ESANN 2016 - 24th European Symposium on Artificial Neural Networks

2014

  1. Prediction of the hemoglobin level in hemodialysis patients using machine learning techniques

    Computer Methods and Programs in Biomedicine, Vol. 117, Núm. 2, pp. 208-217

2013

  1. Expert system for predicting unstable angina based on Bayesian networks

    Expert Systems with Applications, Vol. 40, Núm. 12, pp. 5004-5010

  2. Hyperspectral LCTF-based system for classification of decay in mandarins caused by Penicillium digitatum and Penicillium italicum using the most relevant bands and non-linear classifiers

    Postharvest Biology and Technology, Vol. 82, pp. 76-86

  3. Matlab-based interface for the simultaneous acquisition of force measures and Doppler ultrasound muscular images

    Computer Methods and Programs in Biomedicine, Vol. 110, Núm. 1, pp. 76-81

2012

  1. Detecting rottenness caused by Penicillium genus fungi in citrus fruits using machine learning techniques

    Expert Systems with Applications, Vol. 39, Núm. 1, pp. 780-785

  2. Regularized committee of extreme learning machine for regression problems

    ESANN 2012 proceedings, 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

  3. Self-Organising Maps: A new way to screen the level of satisfaction of dialysis patients

    Expert Systems with Applications, Vol. 39, Núm. 10, pp. 8793-8798

2011

  1. BELM: Bayesian extreme learning machine

    IEEE Transactions on Neural Networks, Vol. 22, Núm. 3, pp. 505-509

  2. Sectors on sectors (SonS): A new hierarchical clustering visualization tool

    IEEE SSCI 2011: Symposium Series on Computational Intelligence - CIDM 2011: 2011 IEEE Symposium on Computational Intelligence and Data Mining

  3. Unificación de enseñanzas relacionadas con el Tratamiento Digital de Señales en la Universitat de València

    @tic. revista d'innovació educativa, Núm. 6, pp. 71-76

  4. Usual difficulties in the application of Reinforcement Learning to real-life problems: Proposals of solving

    Progress in Education. Volume 21 (Nova Science Publishers, Inc.), pp. 145-160

2010

  1. Application of machine learning techniques in the study of the relevance of environmental factors in prediction of tropospheric ozone

    Soft Computing Methods for Practical Environment Solutions: Techniques and Studies (IGI Global), pp. 278-292

  2. Description and evaluation of an introductory course to Matlab for a heterogeneous group of university students

    Computer Applications in Engineering Education, Vol. 18, Núm. 4, pp. 750-756

2009

  1. Adaptive algorithms robust to impulsive noise with low computational cost using order statistic

    IFAC Proceedings Volumes (IFAC-PapersOnline)