Voice Command Recognition with Dynamic Time Warping (DTW) using Graphics Processing Units (GPU) with Compute Unified Device Architecture (CUDA). - Gustavo Poli; João F. Mari; José Hiroki Saito; Alexandre L. M. Levada (SBAC-PAD, 2007)

Stabilizing and Improving the Learning Speed of 2-Layered LSTM Network. - Débora C. Corrêa; Alexandre L. M. Levada; José Hiroki Saito (CSE, 2008)

A Novel Model for Combining Projection and Image Filtering Using Kalman and Discrete Wavelet Transform in Computerized Tomography. - Marcos Antonio de Matos Laia; Alexandre L. M. Levada; Leonardo C. Botega; Maurício Fernando Lima Pereira; Paulo Estevão Cruvinel; Álvaro Macedo (CSE, 2008)

Improving Potts MRF Model Parameter Estimation in Image Analysis. - Alexandre L. M. Levada; Nelson D. A. Mascarenhas; Alberto Tannús (CSE, 2008)

Improving the Learning Speed in 2-Layered LSTM Network by Estimating the Configuration of Hidden Units and Optimizing Weights Initialization. - Débora C. Corrêa; Alexandre L. M. Levada; José Hiroki Saito (ICANN (1), 2008)

A novel pseudo-likelihood equation for Potts MRF model parameter estimation in image analysis. - Alexandre L. M. Levada; Nelson D. A. Mascarenhas; Alberto Tannús (ICIP, 2008)

On the asymptotic variances of Gaussian Markov Random Field model hyperparameters in stochastic image modeling. - Alexandre L. M. Levada; Nelson D. A. Mascarenhas; Alberto Tannús (ICPR, 2008)

Neural network based systems for computer-aided musical composition: supervised x unsupervised learning. - Débora C. Corrêa; Alexandre L. M. Levada; José Hiroki Saito; João F. Mari (SAC, 2008)

Spatially non-homogeneous potts model parameter estimation on higher-order neighborhood systems by maximum pseudo-likelihood. - Alexandre L. M. Levada; Nelson D. A. Mascarenhas; Alberto Tannús; Denis H. P. Salvadeo (SAC, 2008)

Improving the neural meshes algorithm for 3D surface reconstruction with edge swap operations. - João F. Mari; José Hiroki Saito; Gustavo Poli; Marcelo R. Zorzan; Alexandre L. M. Levada (SAC, 2008)

Pseudolikelihood Equations for Potts MRF Model Parameter Estimation on Higher Order Neighborhood Systems. - Alexandre L. M. Levada; Nelson D. A. Mascarenhas; Alberto Tannús (IEEE Geosci. Remote. Sens. Lett., 2008)

Fast and accurate holistic face recognition using Optimum-Path Forest. - João P. Papa; Alexandre X. Falcão; Alexandre L. M. Levada; Débora C. Corrêa; Denis H. P. Salvadeo; Nelson D. A. Mascarenhas (DPS, 2009)

Map-MRF Super-Resolution Image Reconstruction using Maximum Pseudo-Likelihood parameter estimation. - Ana Luísa Dine Martins; Alexandre L. M. Levada; Murillo R. P. Homem; Nelson D. A. Mascarenhas (ICIP, 2009)

GSAShrink: A Novel Iterative Approach for Wavelet-Based Image Denoising. - Alexandre L. M. Levada; Alberto Tannús; Nelson D. A. Mascarenhas (SIBGRAPI, 2009)

A novel MAP-MRF approach for multispectral image contextual classification using combination of suboptimal iterative algorithms. - Alexandre L. M. Levada; Nelson D. A. Mascarenhas; Alberto Tannús (Pattern Recognit. Lett., 2010)

A Markov Random Field Model for Combining Optimum-Path Forest Classifiers Using Decision Graphs and Game Strategy Approach. - Moacir P. Ponti Jr.; João Paulo Papa; Alexandre L. M. Levada (CIARP, 2011)

An adaptive approach for contextual audio denoising using local Fisher information. - Alexandre L. M. Levada; Débora C. Corrêa (ISCAS, 2011)

Finding Community Structure in Music Genres Networks. - Débora C. Corrêa; Alexandre L. M. Levada; Luciano da F. Costa (ISMIR, 2011)

On the Spatial Dependence Structure of Isotropic Pairwise Gaussian-Markov Random Field Models - Alexandre L. M. Levada (CoRR, 2011)

Improving Face Recognition Performance Using RBPCA MaxLike and Information Fusion. - Denis H. P. Salvadeo; Nelson D. A. Mascarenhas; Jander Moreira; Alexandre L. M. Levada; Débora C. Corrêa (Comput. Sci. Eng., 2011)

Contextual Filtering of CT Images Using Markovian Wiener Filters with a Non Local Means Approach for Statistical Estimation. - Denis H. P. Salvadeo; Nelson D. A. Mascarenhas; Alexandre L. M. Levada (SIBGRAPI, 2012)

Optimizing Contextual-Based Optimum-Forest Classification through Swarm Intelligence. - Daniel Osaku; Rodrigo Nakamura; João Paulo Papa; Alexandre L. M. Levada; Fabio A. M. Cappabianco; Alexandre X. Falcão (ACIVS, 2013)

OPF-MRF: Optimum-Path Forest and Markov Random Fields for Contextual-Based Image Classification. - Rodrigo Nakamura; Daniel Osaku; Alexandre L. M. Levada; Fabio Augusto Cappabianco; Alexandre X. Falcão; João Paulo Papa (CAIP (2), 2013)

On the Influence of Markovian Models for Contextual-Based Optimum-Path Forest Classification. - Daniel Osaku; Alexandre L. M. Levada; João P. Papa (CIARP, 2014)

Denoising based on non local means for ultrasound images with simultaneous multiple noise distributions. - Denis H. P. Salvadeo; Isabelle Bloch; Florence Tupin; Nelson D. A. Mascarenhas; Alexandre L. M. Levada; Charles-Alban Deledalle; Sonia Dahdouh (ICIP, 2014)

Learning from Complex Systems: On the Roles of Entropy and Fisher Information in Pairwise Isotropic Gaussian Markov Random Fields. - Alexandre L. M. Levada (Entropy, 2014)

Double Noise Filtering in CT: Pre- and Post-Reconstruction. - Vinicius C. Assis; Denis H. P. Salvadeo; Nelson D. A. Mascarenhas; Alexandre L. M. Levada (SIBGRAPI, 2015)

Improving land cover classification through contextual-based optimum-path forest. - Daniel Osaku; Rodrigo Y. M. Nakamura; Luís A. M. Pereira; Rodrigo Jose Pisani; Alexandre L. M. Levada; Fabio A. M. Cappabianco; Alexandre X. Falcão; João Paulo Papa (Inf. Sci., 2015)

A block-based Markov random field model estimation for contextual classification using Optimum-Path Forest. - Daniel Osaku; Alexandre L. M. Levada; João Paulo Papa (ISCAS, 2016)

A Graph-Based Approach for Contextual Image Segmentation. - Gustavo Botelho de Souza; Gabriel M. Alves; Alexandre L. M. Levada; Paulo Estevão Cruvinel; Aparecido Nilceu Marana (SIBGRAPI, 2016)

Nonlocal Markovian models for image denoising. - Denis H. P. Salvadeo; Nelson D. A. Mascarenhas; Alexandre L. M. Levada (J. Electronic Imaging, 2016)

Fine-Tuning Contextual-Based Optimum-Path Forest for Land-Cover Classification. - Daniel Osaku; Danillo Roberto Pereira; Alexandre L. M. Levada; João Paulo Papa (IEEE Geosci. Remote. Sens. Lett., 2016)

Information geometry, simulation and complexity in Gaussian random fields. - Alexandre L. M. Levada (Monte Carlo Methods Appl., 2016)

A Deep Boltzmann Machine-Based Approach for Robust Image Denoising. - Rafael Goncalves Pires; Daniel F. S. Santos; Gustavo Botelho de Souza; Aparecido Nilceu Marana; Alexandre L. M. Levada; João Paulo Papa (CIARP, 2017)

A Robust Restricted Boltzmann Machine for Binary Image Denoising. - Rafael Goncalves Pires; Daniel Felipe Silva Santos; Luís A. M. Pereira; Gustavo Botelho de Souza; Alexandre Luis Magalhaes Levada; João Paulo Papa (SIBGRAPI, 2017)

A Sparse Filtering-Based Approach for Non-blind Deep Image Denoising. - Rafael Goncalves Pires; Daniel Felipe Silva Santos; Gustavo Botelho de Souza; Alexandre L. M. Levada; João Paulo Papa (ICANN (Workshop), 2019)

Nonlinear Dimensionality Reduction in Texture Classification: Is Manifold Learning Better Than PCA? - Cédrick Bamba Nsimba; Alexandre L. M. Levada (ICCS (5), 2019)

An information-theoretic wavelet-based texture descriptor using Gaussian Markov random field models. - Cédrick Bamba Nsimba; Alexandre L. M. Levada (Multim. Tools Appl., 2019)

Combining Deep and Manifold Learning For Nonlinear Feature Extraction in Texture Images. - Cédrick Bamba Nsimba; Alexandre L. M. Levada (EUSIPCO, 2020)

Unsupervised Learning and Feature Extraction in Hyperspectral Imagery. - Eduardo K. Nakao; Alexandre L. M. Levada (ICCSA (1), 2020)

Exploring Information Theory and Gaussian Markov Random Fields for Color Texture Classification. - Cédrick Bamba Nsimba; Alexandre L. M. Levada (ICIAR (2), 2020)

ISOMAP-KL: a parametric approach for unsupervised metric learning. - Alaor Cervati Neto; Alexandre L. M. Levada (SIBGRAPI, 2020)

Parametric PCA for unsupervised metric learning. - Alexandre L. M. Levada (Pattern Recognit. Lett., 2020)

A Kullback-Leibler Divergence-Based Locally Linear Embedding Method: A Novel Parametric Approach for Cluster Analysis. - Alexandre L. M. Levada; Michel Ferreira Cardia Haddad (BRACIS (1), 2021)

Improving Parametric PCA Using KL-divergence Between Gaussian-Markov Random Field Models. - Alexandre L. M. Levada (ICCSA (2), 2021)

Non-local medians filter for joint Gaussian and impulsive image denoising. - Alexandre L. M. Levada (SIBGRAPI, 2021)

Entropic Laplacian eigenmaps for unsupervised metric learning. - Alexandre Luis Magalhaes Levada; Michel Ferreira Cardia Haddad (SIBGRAPI, 2021)

PCA-KL: a parametric dimensionality reduction approach for unsupervised metric learning. - Alexandre L. M. Levada (Adv. Data Anal. Classif., 2021)

On the curvatures of Gaussian random field manifolds. - Alexandre L. M. Levada (CoRR, 2021)

Geodesic curves in Gaussian random field manifolds. - Alexandre L. M. Levada (CoRR, 2021)

Closed-form Bayesian image denoising: improving the adaptive Wiener filter through pairwise Gaussian-Markov random fields. - Alexandre L. M. Levada (Commun. Stat. Simul. Comput., 2021)

A Curvature based Isometric Feature Mapping. - Alexandre L. M. Levada (ICPR, 2022)

The Curvature Effect in Gaussian Random Fields. - Alexandre L. M. Levada (CoRR, 2022)

On the Kullback-Leibler divergence between pairwise isotropic Gaussian-Markov random fields. - Alexandre L. M. Levada (CoRR, 2022)

On the numerical computation of Fisher-Rao based distances and KL-divergences between Gaussian random fields. - Alexandre L. M. Levada (J. Comput. Sci., 2022)

Entropic principal component analysis using Cauchy-Schwarz divergence. - Eduardo K. Nakao; Alexandre L. M. Levada (Knowl. Inf. Syst., 2023)

The geodesic dispersion phenomenon in random fields dynamics. - Alexandre L. M. Levada (CoRR, 2024)

An information-geometric approach for network decomposition using the q-state Potts model. - Alexandre L. M. Levada (CoRR, 2024)

Adaptive k-nearest neighbor classifier based on the local estimation of the shape operator. - Alexandre Luis Magalhaes Levada; Frank Nielsen; Michel Ferreira Cardia Haddad (CoRR, 2024)

Probabilistic Nearest Neighbors Based Locality Preserving Projections for Unsupervised Metric Learning. - Alaor Cervati Neto; Alexandre L. M. Levada (J. Univers. Comput. Sci., 2024)

Dual Non-Local Means: a two-stage information-theoretic filter for image denoising. - André R. de Brito; Alexandre L. M. Levada (Multim. Tools Appl., 2024)

Information theory divergences in principal component analysis. - Eduardo K. Nakao; Alexandre L. M. Levada (Pattern Anal. Appl., 2024)

Minimum Information Trees for High Dimensional Data Visualization in Clustering. - Alexandre L. M. Levada (IEEE Access, 2025)

Entropic Semi-Supervised Dimensionality Reduction for Distance Metric Learning. - Alexandre L. M. Levada (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2025)