Argitalpenak (102) Federico Divina argitalpenak

2023

  1. Dataset of fundus images for the diagnosis of ocular toxoplasmosis

    Data in Brief

  2. Electric Energy Charge Biclustering A Genetic Algorithms Approach

    Proceedings - IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, ChileCon

  3. Evolutionary feature selection on high dimensional data using a search space reduction approach

    Engineering Applications of Artificial Intelligence, Vol. 117

  4. Explainable Artificial Intelligence for the Electric Vehicle Load Demand Forecasting Problem

    Lecture Notes in Networks and Systems

  5. Neuroevolutionary Transfer Learning for Time Series Forecasting

    Lecture Notes in Networks and Systems

2022

  1. Analysis of Electric Energy Consumption Profiles Using a Machine Learning Approach: A Paraguayan Case Study

    Electronics, Vol. 11, Núm. 2, pp. 267

  2. Data of transcriptional effects of the merbarone-mediated inhibition of TOP2

    Data in Brief

  3. Distribution level electric current consumption and meteorological data set of the east region of Paraguay

    Data in Brief

2021

  1. A multi-GPU biclustering algorithm for binary datasets

    Journal of Parallel and Distributed Computing, Vol. 147, pp. 209-219

  2. A trust-based methodology to evaluate deep learning models for automatic diagnosis of ocular toxoplasmosis from fundus images

    Diagnostics, Vol. 11, Núm. 11

  3. Adjacent Inputs with Different Labels and Hardness in Supervised Learning

    IEEE Access, Vol. 9, pp. 162487-162498

  4. Advanced optimization methods and big data applications in energy demand forecast

    Applied Sciences (Switzerland)

  5. Analysis of Student Achievement Scores via Cluster Analysis

    The 11th International Conference on EUropean Transnational Educational: (ICEUTE 2020)

  6. Analysis of student achievement scores via cluster analysis

    Advances in Intelligent Systems and Computing

  7. Automatic Diagnosis of Ocular Toxoplasmosis from Fundus Images with Residual Neural Networks

    Studies in health technology and informatics, Vol. 281, pp. 173-177

  8. EDITORIAL MESSAGE

    Proceedings of the ACM Symposium on Applied Computing

  9. Genome-wide prediction of topoisomerase IIβ binding by architectural factors and chromatin accessibility

    PLoS Computational Biology, Vol. 17, Núm. 1 January

  10. Scatter search for high-dimensional feature selection using feature grouping

    GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion

  11. Technical analysis strategy optimization using a machine learning approach in stock market indices[Formula presented]

    Knowledge-Based Systems, Vol. 225

2020

  1. A comparative study of supervised machine learning algorithms for the prediction of long-range chromatin interactions

    Genes, Vol. 11, Núm. 9, pp. 1-17