Argitalpenak (86) ANTONIO JOSE SERRANO LOPEZ argitalpenak

2024

  1. PROFUGO study protocol: Predictive model for the early diagnosis of anastomotic leak after esophagectomy and gastrectomy

    Cirugia Espanola, Vol. 102, Núm. 11, pp. 624-629

2023

  1. BiomedChallenge: Enhancing Student Learning in Data Science

    Proceedings - JICV 2023: 13th International Conference on Virtual Campus

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

    Engineering Applications of Artificial Intelligence, Vol. 120

2022

  1. Applicability of probabilistic graphical models for early detection of SARS-CoV-2 reactive antibodies after SARS-CoV-2 vaccination in hematological patients

    Annals of Hematology, Vol. 101, Núm. 9, pp. 2053-2067

  2. Approaching sales forecasting using recurrent neural networks and transformers

    Expert Systems with Applications, Vol. 201

2020

  1. Machine learning for mortality analysis in patients with COVID-19

    International Journal of Environmental Research and Public Health, Vol. 17, Núm. 22, pp. 1-20

2019

  1. Analysis of computer user behavior, security incidents and fraud using Self-Organizing Maps

    Computers and Security, Vol. 83, pp. 38-51

  2. Vibration monitoring of the mechanical harvesting of citrus to improve fruit detachment efficiency

    Sensors (Switzerland), Vol. 19, Núm. 8

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

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

  3. Use of SOMs for footwear comfort evaluation

    Neural Computing and Applications, Vol. 28, Núm. 7, pp. 1763-1773

  4. Use of self-organizing maps for analyzing the behavior of canines displaced towards midline under interceptive treatment

    Medicina oral, patología oral y cirugía bucal. Ed. inglesa, Vol. 22, Núm. 2, pp. 14

2016

  1. A new visualization tool for data mining techniques

    Progress in Artificial Intelligence, Vol. 5, Núm. 2, pp. 137-154

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

    IEEE International Conference on Data Mining Workshops, ICDMW

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

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

2015

  1. Analysis of the modifications in the spectral and morphologic regularity during ventricular fibrillation produced by physical exercise and the use of glibenclamide

    IFMBE Proceedings

2014

  1. Application of machine learning techniques to analyse the effects of physical exercise in ventricular fibrillation

    Computers in Biology and Medicine, Vol. 45, Núm. 1, pp. 1-7

  2. 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

  3. Synchrony analysis of unipolar cardiac mapping during ventricular fibrillation

    IFMBE Proceedings