Publicaciones (78) Publicaciones de MARCELINO MARTINEZ SOBER

2024

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

    Computer Methods and Programs in Biomedicine, Vol. 246

  2. Fast Bayesian gravitational wave parameter estimation using convolutional neural networks

    Monthly Notices of the Royal Astronomical Society, Vol. 527, Núm. 2, pp. 2887-2894

2023

  1. Comparison between Machine Learning and Deep Learning Approaches for the Detection of Toxic Comments on Social Networks

    Applied Sciences (Switzerland), Vol. 13, Núm. 10

  2. Deep Learning Architectures for Diagnosis of Diabetic Retinopathy

    Applied Sciences (Switzerland), Vol. 13, Núm. 7

  3. Development of a stand-alone device to simultaneously record cardiotocography biosignals in an open format for testing methods of assessing fetal heart rate variability

    CASEIB 2023. Libro de Actas del XLI Congreso Anual de la Sociedad Española de Ingeniería Biomédica: Contribuyendo a la salud basada en valor

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

    Engineering Applications of Artificial Intelligence, Vol. 120

  5. Estimación de los niveles nutricionales de hojas de cítricos mediante análisis no destructivo aplicando técnicas de aprendizaje automático

    XII Congreso ibérico de agroingeniería.: Libro de actas

  6. Estimación de los niveles nutricionales de hojas de cítricos mediante análisis no destructivos aplicando técnicas de aprendizaje automático

    XII Congreso ibérico de agroingeniería.: Libro de actas

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

2018

  1. Modeling the mechanical behavior of the breast tissues under compression in real time

    Lecture Notes in Computational Vision and Biomechanics, Vol. 27, pp. 583-592

  2. Towards Detecting Structures in Computational Astrophysics Plasma Simulations: Using Machine Learning for Shock Front Classification

    Frontiers in Artificial Intelligence and Applications

2017

  1. A finite element-based machine learning approach for modeling the mechanical behavior of the breast tissues under compression in real-time

    Computers in Biology and Medicine, Vol. 90, pp. 116-124

  2. A framework for modelling the biomechanical behaviour of the human liver during breathing in real time using machine learning

    Expert Systems with Applications, Vol. 71, pp. 342-357

2016

  1. Machine Learning for Modeling the Biomechanical Behavior of Human Soft Tissue

    IEEE International Conference on Data Mining Workshops, ICDMW

  2. Machine Learning for modeling the biomechanical behavior of human soft tissue

    2016 IEEE 16TH INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW)

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

    ESANN 2016 - 24th European Symposium on Artificial Neural Networks

2015

  1. Pedal multiefectos de guitarra eléctrica con núcleo DSP

    Revista española de electrónica, Núm. 730, pp. 106-108

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