| 2022 | ICPR | A Curvature based Isometric Feature Mapping. | Alexandre L. M. Levada |
| 2021 | ICCSA | Improving Parametric PCA Using KL-divergence Between Gaussian-Markov Random Field Models. | Alexandre L. M. Levada |
| 2020 | ICCSA | Unsupervised Learning and Feature Extraction in Hyperspectral Imagery. | Eduardo K. Nakao, Alexandre L. M. Levada |
| 2019 | ICANN | 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, Joo Paulo Papa |
| 2019 | ICCS | Nonlinear Dimensionality Reduction in Texture Classification: Is Manifold Learning Better Than PCA? | Cdrick Bamba Nsimba, Alexandre L. M. Levada |
| 2017 | CIARP | 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, Joo Paulo Papa |
| 2016 | ISCAS | A block-based Markov random field model estimation for contextual classification using Optimum-Path Forest. | Daniel Osaku, Alexandre L. M. Levada, Joo Paulo Papa |
| 2014 | CIARP | On the Influence of Markovian Models for Contextual-Based Optimum-Path Forest Classification. | Daniel Osaku, Alexandre L. M. Levada, Joo P. Papa |
| 2014 | ICIP | 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 |
| 2013 | ACIVS | Optimizing Contextual-Based Optimum-Forest Classification through Swarm Intelligence. | Daniel Osaku, Rodrigo Nakamura, Joo Paulo Papa, Alexandre L. M. Levada, Fabio A. M. Cappabianco, Alexandre X. Falco |
| 2013 | CAIP | 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. Falco, Joo Paulo Papa |
| 2011 | CIARP | A Markov Random Field Model for Combining Optimum-Path Forest Classifiers Using Decision Graphs and Game Strategy Approach. | Moacir P. Ponti Jr., Joo Paulo Papa, Alexandre L. M. Levada |
| 2011 | ISCAS | An adaptive approach for contextual audio denoising using local Fisher information. | Alexandre L. M. Levada, Dbora C. Corra |
| 2009 | ICIP | Map-MRF Super-Resolution Image Reconstruction using Maximum Pseudo-Likelihood parameter estimation. | Ana Lusa Dine Martins, Alexandre L. M. Levada, Murillo R. P. Homem, Nelson D. A. Mascarenhas |
| 2008 | ICANN | Improving the Learning Speed in 2-Layered LSTM Network by Estimating the Configuration of Hidden Units and Optimizing Weights Initialization. | Dbora C. Corra, Alexandre L. M. Levada, Jos Hiroki Saito |
| 2008 | ICIP | A novel pseudo-likelihood equation for Potts MRF model parameter estimation in image analysis. | Alexandre L. M. Levada, Nelson D. A. Mascarenhas, Alberto Tanns |
| 2008 | ICPR | On the asymptotic variances of Gaussian Markov Random Field model hyperparameters in stochastic image modeling. | Alexandre L. M. Levada, Nelson D. A. Mascarenhas, Alberto Tanns |
| 2008 | SAC | Neural network based systems for computer-aided musical composition: supervised x unsupervised learning. | Dbora C. Corra, Alexandre L. M. Levada, Jos Hiroki Saito, Joo F. Mari |
| 2008 | SAC | 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 Tanns, Denis H. P. Salvadeo |
| 2008 | SAC | Improving the neural meshes algorithm for 3D surface reconstruction with edge swap operations. | Joo F. Mari, Jos Hiroki Saito, Gustavo Poli, Marcelo R. Zorzan, Alexandre L. M. Levada |
| 2007 | SBAC-PAD | Voice Command Recognition with Dynamic Time Warping (DTW) using Graphics Processing Units (GPU) with Compute Unified Device Architecture (CUDA). | Gustavo Poli, Joo F. Mari, Jos Hiroki Saito, Alexandre L. M. Levada |