ResearchTrend.AI

Mateus Roder

    Following

    Papers

    14 / 14 papers shown
    Title
    Feature Selection and Hyperparameter Fine-tuning in Artificial Neural Networks for Wood Quality Classification
    Feature Selection and Hyperparameter Fine-tuning in Artificial Neural Networks for Wood Quality Classification
    Mateus Roder
    Leandro A. Passos
    João Paulo Papa
    André Luis Debiaso Rossi
    17
    0
    0
    20 Oct 2023
    Facial Point Graphs for Amyotrophic Lateral Sclerosis Identification
    Facial Point Graphs for Amyotrophic Lateral Sclerosis Identification
    N. Gomes
    Arissa Yoshida
    Mateus Roder
    Guilherme C. Oliveira
    João Paulo Papa
    CVBM
    69
    3
    0
    22 Jul 2023
    Enhancing Hyper-To-Real Space Projections Through Euclidean Norm Meta-Heuristic Optimization
    Enhancing Hyper-To-Real Space Projections Through Euclidean Norm Meta-Heuristic OptimizationIberoamerican Congress on Pattern Recognition (CIARP), 2023
    L. C. Ribeiro
    Mateus Roder
    Gustavo de Rosa
    L. A. Passos
    João Paulo Papa
    43
    0
    0
    31 Jan 2023
    Improving Pre-Trained Weights Through Meta-Heuristics Fine-Tuning
    Improving Pre-Trained Weights Through Meta-Heuristics Fine-TuningIEEE Symposium Series on Computational Intelligence (SSCI), 2021
    Gustavo de Rosa
    Mateus Roder
    João Paulo Papa
    C. F. G. Santos
    65
    2
    0
    19 Dec 2022
    From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks
    From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief NetworksIEEE Symposium Series on Computational Intelligence (SSCI), 2021
    Mateus Roder
    Jurandy Almeida
    Gustavo de Rosa
    L. A. Passos
    André Luis Debiaso Rossi
    João Paulo Papa
    68
    3
    0
    30 Nov 2022
    MaxDropoutV2: An Improved Method to Drop out Neurons in Convolutional Neural Networks
    MaxDropoutV2: An Improved Method to Drop out Neurons in Convolutional Neural NetworksIberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2022
    C. F. G. Santos
    Mateus Roder
    L. A. Passos
    João Paulo Papa
    128
    1
    0
    05 Mar 2022
    Comparative Study Between Distance Measures On Supervised Optimum-Path Forest Classification
    Comparative Study Between Distance Measures On Supervised Optimum-Path Forest Classification
    Gustavo de Rosa
    Mateus Roder
    João Paulo Papa
    67
    1
    0
    08 Feb 2022
    Gait Recognition Based on Deep Learning: A Survey
    Gait Recognition Based on Deep Learning: A SurveyACM Computing Surveys (ACM CSUR), 2022
    Claudio Filipi Gonçalves dos Santos
    Diego de Souza Oliveira
    Leandro A. Passos
    Rafael Gonçalves Pires
    Daniel Felipe Silva Santos
    ...
    Thierry Pinheiro Moreira
    Marcos Cleison S. Santana
    Mateus Roder
    Jo Paulo Papa
    Danilo Colombo
    CVBM
    110
    87
    0
    10 Jan 2022
    A Layer-Wise Information Reinforcement Approach to Improve Learning in Deep Belief Networks
    A Layer-Wise Information Reinforcement Approach to Improve Learning in Deep Belief NetworksInternational Conference on Artificial Intelligence and Soft Computing (ICAISC), 2020
    Mateus Roder
    L. A. Passos
    L. C. Ribeiro
    C. R. Pereira
    João Paulo Papa
    83
    1
    0
    17 Jan 2021
    Intestinal Parasites Classification Using Deep Belief Networks
    Intestinal Parasites Classification Using Deep Belief NetworksInternational Conference on Artificial Intelligence and Soft Computing (ICAISC), 2021
    Mateus Roder
    L. A. Passos
    L. C. Ribeiro
    B. C. Benato
    A. X. Falcão
    João Paulo Papa
    70
    13
    0
    17 Jan 2021
    Energy-based Dropout in Restricted Boltzmann Machines: Why not go random
    Energy-based Dropout in Restricted Boltzmann Machines: Why not go randomIEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2021
    Mateus Roder
    Gustavo de Rosa
    V. H. C. de Albuquerque
    André Luis Debiaso Rossi
    João Paulo Papa
    AI4CE
    127
    4
    0
    17 Jan 2021
    Fast Ensemble Learning Using Adversarially-Generated Restricted Boltzmann Machines
    Fast Ensemble Learning Using Adversarially-Generated Restricted Boltzmann Machines
    Gustavo de Rosa
    Mateus Roder
    João Paulo Papa
    OOD
    54
    1
    0
    04 Jan 2021
    MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values
    MaxDropout: Deep Neural Network Regularization Based on Maximum Output ValuesInternational Conference on Pattern Recognition (ICPR), 2020
    C. F. G. Santos
    Danilo Colombo
    Mateus Roder
    João Paulo Papa
    74
    16
    0
    27 Jul 2020
    Learnergy: Energy-based Machine Learners
    Learnergy: Energy-based Machine Learners
    Mateus Roder
    Gustavo de Rosa
    João Paulo Papa
    42
    5
    0
    16 Mar 2020

    # Citations on arXiv papers

    # arXiv papers

    We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.