Publications (18) MARIO FERNANDO JOJOA ACOSTA publications

2024

  1. Application of Machine Learning Techniques to Help in the Feature Selection Related to Hospital Readmissions of Suicidal Behavior

    International Journal of Mental Health and Addiction, Vol. 22, Núm. 1, pp. 216-237

2021

  1. Deep Learning for Heart Sounds Classification Using Scalograms and Automatic Segmentation of PCG Signals

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Executive functioning in adults with down syndrome: Machine-learning-based prediction of inhibitory capacity

    International Journal of Environmental Research and Public Health, Vol. 18, Núm. 20

  3. Melanoma diagnosis using deep learning techniques on dermatoscopic images

    BMC Medical Imaging, Vol. 21, Núm. 1

  4. The impact of covid 19 on university staff and students from iberoamerica: Online learning and teaching experience

    International Journal of Environmental Research and Public Health, Vol. 18, Núm. 11

2020

  1. Deep Learning Applied to Forest Fire Detection

    2020 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY (ISSPIT 2020)

  2. Machine Learning Algorithms for Forecasting COVID 19 Confirmed Cases in America

    2020 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2020

  3. Optimized neural networks in industrial data analysis

    SN APPLIED SCIENCES, Vol. 2, Núm. 2

2018

  1. Classification of Hosts in a WLAN Based on Support Vector Machine

    2018 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2018 - Proceedings

  2. Classification of Hosts in a WLAN based on Support Vector Machine

    2018 CONGRESO INTERNACIONAL DE INNOVACION Y TENDENCIAS EN INGENIERIA (CONIITI)

  3. Optimized artificial neural network system to select an exploration algorithm for robots on bi-dimensional grids

    Communications in Computer and Information Science

2016

  1. Clasificador basado en el coeficiente de correlación de sonidos cardíacos

    Avances y aplicaciones de sistemas inteligentes y nuevas tecnologías (Universidad de Los Andes (ULA) Venezuela), pp. 243-250