A Regularized Nonlinear Diffusion Approach for Texture Image Denoising. - Wallace Correa de Oliveira Casaca; Maurílio Boaventura (SIBGRAPI, 2009)

Spectral Segmentation Using Cartoon-Texture Decomposition and Inner Product-Based Metric. - Wallace Casaca; Afonso Paiva 001; Luis Gustavo Nonato (SIBGRAPI, 2011)

Colorization by Multidimensional Projection. - Wallace Casaca; Erick Gomez Nieto; Cynthia de Oliveira Lage Ferreira; Geovan Tavares; Paulo A. Pagliosa; Fernando Vieira Paulovich; Luis Gustavo Nonato; Afonso Paiva 001 (SIBGRAPI, 2012)

Class-specific metrics for multidimensional data projection applied to CBIR. - Paulo Joia; Erick Gomez Nieto; João Batista Neto; Wallace Casaca; Glenda Botelho; Afonso Paiva 001; Luis Gustavo Nonato (Vis. Comput., 2012)

Mixed Integer Optimization for Layout Arrangement. - Erick Gomez Nieto; Wallace Casaca; Luis Gustavo Nonato; Gabriel Taubin (SIBGRAPI, 2013)

Spectral Image Segmentation Using Image Decomposition and Inner Product-Based Metric. - Wallace Casaca; Afonso Paiva 001; Erick Gomez Nieto; Paulo Joia; Luis Gustavo Nonato (J. Math. Imaging Vis., 2013)

Laplacian Coordinates for Seeded Image Segmentation. - Wallace Casaca; Luis Gustavo Nonato; Gabriel Taubin (CVPR, 2014)

Combining anisotropic diffusion, transport equation and texture synthesis for inpainting textured images. - Wallace Casaca; Maurílio Boaventura; Marcos Proença de Almeida; Luis Gustavo Nonato (Pattern Recognit. Lett., 2014)

Similarity Preserving Snippet-Based Visualization of Web Search Results. - Erick Gomez Nieto; Frizzi San Roman; Paulo A. Pagliosa; Wallace Casaca; Elias S. Helou; Maria Cristina Ferreira de Oliveira; Luis Gustavo Nonato (IEEE Trans. Vis. Comput. Graph., 2014)

Estudo do Laplaciano do grafo para o problema de clusterização espectral e segmentação interativa de imagens. - Wallace Correa de Oliveira Casaca (2014)

Interactive Image Colorization Using Laplacian Coordinates. - Wallace Casaca; Marilaine Colnago; Luis Gustavo Nonato (CAIP (2), 2015)

A user-friendly interactive image inpainting framework using Laplacian coordinates. - Wallace Casaca; Danilo Motta; Gabriel Taubin; Luis Gustavo Nonato (ICIP, 2015)

Dealing with Multiple Requirements in Geometric Arrangements. - Erick Gomez Nieto; Wallace Casaca; Danilo Motta; Ivar A. Hartmann; Gabriel Taubin; Luis Gustavo Nonato (IEEE Trans. Vis. Comput. Graph., 2016)

Region-Based Classification of PolSAR Data Through Kernel Methods and Stochastic Distances. - Rogério Galante Negri; Wallace C. O. Casaca; Erivaldo Antonio da Silva (CIARP, 2017)

Fundus Image Transformation Revisited: Towards Determining More Accurate Registrations. - Danilo Motta; Wallace Casaca; Afonso Paiva 001 (CBMS, 2018)

A user-friendly interactive framework for unsteady fluid flow segmentation and visualization. - Danilo Motta; Wallace Casaca; Paulo A. Pagliosa; Afonso Paiva 001 (J. Vis., 2018)

Inducing Contextual Classifications With Kernel Functions Into Support Vector Machines. - Rogério Galante Negri; Erivaldo Antonio da Silva; Wallace Casaca (IEEE Geosci. Remote. Sens. Lett., 2018)

Vessel Optimal Transport for Automated Alignment of Retinal Fundus Images. - Danilo Motta; Wallace Casaca; Afonso Paiva 001 (IEEE Trans. Image Process., 2019)

Comparing the Performance of Mathematical Morphology and Bhattacharyya Distance for Airport Extraction. - Wallace Casaca; Daniel P. Ederli; Erivaldo Antonio da Silva; Fernando P. Baixo; Thamires G. Godoy; Marilaine Colnago (IGARSS, 2020)

A high-order immersed interface method free of derivative jump conditions for Poisson equations on irregular domains. - Marilaine Colnago; Wallace Casaca; Leandro Franco de Souza (J. Comput. Phys., 2020)

An Incongruence-Based Anomaly Detection Strategy for Analyzing Water Pollution in Images from Remote Sensing. - Maurício Araújo Dias; Erivaldo Antônio da Silva; Samara Calçado de Azevedo; Wallace Casaca; Thiago Statella; Rogério Galante Negri (Remote. Sens., 2020)

Exploratory Analysis and Visualization of Brazilian Forest Data from the Forest Document System of the Brazilian Institute of the Environment. - Matias Emir Luemba; Nsiamfumu Kunzayila; Wallace Casaca (ICCSA (5), 2021)

Automatically Detecting Textual Content in High-Resolution Images. - Dayara Basso; Marilaine Colnago; Samara Calçado de Azevedo; Rogério Galante Negri; Wallace Casaca (IGARSS, 2021)

Simulating Immunization Campaigns and Vaccine Protection Against COVID-19 Pandemic in Brazil. - Fabio Amaral; Wallace Casaca; Cassio M. Oishi; José Alberto Cuminato (IEEE Access, 2021)

Combining morphological filtering, anisotropic diffusion and block-based data replication for automatically detecting and recovering unscanned gaps in remote sensing images. - Dayara Basso; Marilaine Colnago; Samara Calçado de Azevedo; Erivaldo Antonio da Silva; Pedro Pina; Wallace Casaca (Earth Sci. Informatics, 2021)

Laplacian Coordinates: Theory and Methods for Seeded Image Segmentation. - Wallace Casaca; João Paulo Gois; Harlen Costa Batagelo; Gabriel Taubin; Luis Gustavo Nonato (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Towards Providing Effective Data-Driven Responses to Predict the Covid-19 in São Paulo and Brazil. - Fabio Amaral; Wallace Casaca; Cassio M. Oishi; José Alberto Cuminato (Sensors, 2021)

Spectral-Spatial-Aware Unsupervised Change Detection With Stochastic Distances and Support Vector Machines. - Rogério Galante Negri; Alejandro C. Frery; Wallace Casaca; Samara Calçado de Azevedo; Maurício Araújo Dias; Erivaldo Antônio da Silva; Enner H. Alcântara (IEEE Trans. Geosci. Remote. Sens., 2021)

Unsupervised Deep Learning Network for Deformable Fundus Image Registration. - Giovana Augusta Benvenuto; Marilaine Colnago; Wallace Casaca (ICASSP, 2022)

A Fully Unsupervised Machine Learning Framework for Algal Bloom Forecasting in Inland Waters Using MODIS Time Series and Climatic Products. - Pedro Henrique Moraes Ananias; Rogério Galante Negri; Maurício Araújo Dias; Erivaldo Antonio da Silva; Wallace Casaca (Remote. Sens., 2022)

A Machine Learning Strategy Based on Kittler's Taxonomy to Detect Anomalies and Recognize Contexts Applied to Monitor Water Bodies in Environments. - Maurício Araújo Dias; Giovanna Carreira Marinho; Rogério Galante Negri; Wallace Casaca; Ignacio Bravo Muñoz; Danilo Medeiros Eler (Remote. Sens., 2022)

Mapping Fire Susceptibility in the Brazilian Amazon Forests Using Multitemporal Remote Sensing and Time-Varying Unsupervised Anomaly Detection. - Andréa Eliza O. Luz; Rogério Galante Negri; Klécia G. Massi; Marilaine Colnago; Erivaldo Antonio da Silva; Wallace Casaca (Remote. Sens., 2022)

Mapping Burned Areas with Multitemporal-Multispectral Data and Probabilistic Unsupervised Learning. - Rogério Galante Negri; Andréa Eliza O. Luz; Alejandro C. Frery; Wallace Casaca (Remote. Sens., 2022)

Robust Seeded Image Segmentation Using Adaptive Label Propagation and Deep Learning-Based Contour Orientation. - Aldimir Bruzadin; Marilaine Colnago; Rogério Galante Negri; Wallace Casaca (ICCSA (2), 2023)

Learning label diffusion maps for semi-automatic segmentation of lung CT images with COVID-19. - Aldimir Bruzadin; Maurílio Boaventura; Marilaine Colnago; Rogério Galante Negri; Wallace Casaca (Neurocomputing, 2023)

ABD: A machine intelligent-based algal bloom detector for remote sensing images. - Pedro Henrique Moraes Ananias; Rogério Galante Negri; Adriano Bressane; Marilaine Colnago; Wallace Casaca (Softw. Impacts, 2023)

Dimensionality Reduction and Anomaly Detection Based on Kittler's Taxonomy: Analyzing Water Bodies in Two Dimensional Spaces. - Giovanna Carreira Marinho; Wilson Estécio Marcílio Júnior; Maurício Araújo Dias; Danilo Medeiros Eler; Rogério Galante Negri; Wallace Casaca (Remote. Sens., 2023)

ABF: A data-driven approach for algal bloom forecasting using machine intelligence and remotely sensed data series. - Pedro Henrique Moraes Ananias; Rogério Galante Negri; Adriano Bressane; Maurício Araújo Dias; Erivaldo Antonio da Silva; Wallace Casaca (Softw. Impacts, 2023)

Assessing the impacts of catastrophic 2020 wildfires in the Brazilian Pantanal using MODIS data and Google Earth Engine: A case study in the world's largest sanctuary for Jaguars. - Larissa M. P. Parra; Fabrícia C. Santos; Rogério Galante Negri; Marilaine Colnago; Adriano Bressane; Maurício Araújo Dias; Wallace Casaca (Earth Sci. Informatics, 2023)

Associating Anomaly Detection Strategy Based on Kittler's Taxonomy with Image Editing to Extend the Mapping of Polluted Water Bodies. - Giovanna Carreira Marinho; Wilson Estécio Marcílio Júnior; Maurício Araújo Dias; Danilo Medeiros Eler; Almir Olivette Artero; Wallace Casaca; Rogério Galante Negri (Remote. Sens., 2023)

Unsupervised Multitemporal Triclass Change Detection. - Rogério Galante Negri; Alejandro C. Frery; Wallace Casaca; Paolo Gamba; Avik Bhattacharya (IEEE Trans. Geosci. Remote. Sens., 2024)

Machine Learning-Based Solar Radiation Forecasting for Green Hydrogen Production. - Mateus Vasconcelos Albuquerque; Wallace Casaca (ICCSA (3), 2025)

Precision Meets Speed: An Attention Encoder-Decoder Network for Deforestation Segmentation. - Giovana Augusta Benvenuto; Rogério Galante Negri; Marilaine Colnago; Alejandro C. Frery; Wallace Casaca (IEEE Geosci. Remote. Sens. Lett., 2025)

Assessing Machine Learning Models on Temporal and Multi-Sensor Data for Mapping Flooded Areas. - Rogério Galante Negri; Fernanda Dácio da Costa; Bruna da Silva Andrade Ferreira; Matheus Wesley Rodrigues; Abayomi O. Bankole; Wallace Casaca (Trans. GIS, 2025)