Ribas, Lucas C.; Casaca, Wallace; Fares, Ricardo T. Conditional Generative Adversarial Networks and Deep Learning Data Augmentation: A Multi-Perspective Data-Driven Survey Across Multiple Application Fields and Classification Architectures. Ai, v. 6, p. 32, 2025.
Negri, Rogério G.; Da Costa, Fernanda D.; Ferreira, Bruna S. A.; Rodrigues, Matheus W.; Bankole, Abayomi; Casaca, Wallace. Assessing Machine Learning Models on Temporal and Multi-Sensor Data for Mapping Flooded Areas. Transactions in GIS, v. 29, p. 1-20, 2025.
Ferreira, Rafaella S. ; Casaca, Wallace ; Meyer, João F. C. A. ; Colnago, Marilaine; Dias, Maurício A.; Negri, Rogério G. Epidemic Modeling in Satellite Towns and Interconnected Cities: Data-Driven Simulation and Real-World Lockdown Validation. Information, v. 16, p. 299, 2025.
Cardim, Guilherme P. ; Reis Neto, Claudio B. ; Nascimento, Eduardo S. ; Cardim, Henrique P. ; Casaca, Wallace ; Negri, Rogério G.; Cabrera, Flávio C. ; Dos Santos, Renivaldo J. ; Silva, Erivaldo A.; Dias, Maurício A.. A Study of COVID-19 Diagnosis Applying Artificial Intelligence to X-Rays Images. Computers, v. 14, p. 163, 2025.
Negri, Rogério G.; Frery, Alejandro C. ; Casaca, Wallace ; Gamba, Paolo; Bhattacharya, A. Unsupervised Multitemporal Triclass Change Detection. IEEE Transactions on Geoscience and Remote Sensing, v. 62, p. 1-17, 2024.
Rodrigues, Júlia; Dias, Maurício A.; Negri, Rogério G.; Hussain, Sardar M.; Casaca, Wallace . A Robust Dual-Mode Machine Learning Framework for Classifying Deforestation Patterns in Amazon Native Lands. LAND, v. 13, p. 1427, 2024.
Bruzadin, Aldimir; Boaventura, Maurílio; Colnago, Marilaine ; Negri, Rogério G.; Casaca, Wallace . Learning label diffusion maps for semi-automatic segmentation of lung CT images with COVID-19. Neurocomputing, v. 522, p. 24-38, 2023.
Gino, Vinícius L. S. ; Negri, Rogério G.; Souza, Felipe N. ; Silva, Erivaldo A.; Bressane, A.; Mendes, Tatiana S. G. ; Casaca, Wallace . Integrating Unsupervised Machine Intelligence and Anomaly Detection for Spatio-Temporal Dynamic Mapping Using Remote Sensing Image Series. Sustainability, v. 15, p. 4725, 2023.
Parra, Larissa M. P. ; Santos, Fabrícia C. ; Negri, Rogério G.; Colnago, Marilaine ; Bressane, A.; Dias, Maurício A.; Casaca, Wallace . 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. Earth Science Informatics, v. 1, p. 1-10, 2023.
Casaca, Wallace et al. Leak Detection in Hermetic Compressors using Computer Vision and Artificial Intelligence. Mathematics in Industy Reports (Cambridge), v. 2023, p. 1-11, 2023.
Paula, Matheus P.; Casaca, Wallace ; Colnago, Marilaine ; Da Silva, José R. ; Oliveira, Kleber; Dias, Maurício A.; Negri, Rogério G. Predicting Energy Generation in Large Wind Farms: A Data-Driven Study with Open Data and Machine Learning. Inventions, v. 8, p. 126, 2023.
Fontoura Júnior, C. F. M. ; Cardim, G. P. ; Nascimento, E. S. ; Colnago, Marilaine; Casaca, Wallace; Silva, Erivaldo A. . Assessing the Effectiveness of Inpainting Techniques for Enhancing Feature Extraction Quality in Remote Sensing Imagery. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. X-1/W1-2023, p. 65-72, 2023.
Marinho, Giovanna C; Júnior, Wilson E. M.; Dias, Maurício A.; Eler, Danilo M.; Artero, Almir O.; Casaca, Wallace ; Negri, Rogério G. . Associating Anomaly Detection Strategy Based on Kittler's Taxonomy with Image Editing to Extend the Mapping of Polluted Water Bodies. Remote Sensing, v. 15, p. 5760, 2023.
Ananias, Pedro H. M.; Negri, Rogério G.; Bressane, A.; Colnago, Marilaine ; Casaca, Wallace . ABD: A machine intelligent-based algal bloom detector for remote sensing images. Software Impacts, v. 15, p. 100482, 2023.
Ananias, Pedro H. M.; Negri, Rogério G.; Bressane, A.; Dias, Maurício A.;Silva, Erivaldo A.; Casaca, Wallace . ABF: A data-driven approach for algal bloom forecasting using machine intelligence and remotely sensed data series. Software Impacts, v. 17, p. 100518, 2023.
Marinho, Giovanna C.; Júnior, Wilson E. M.; Dias, Maurício A.; Eler, Danilo M.; Negri, Rogério G.; Casaca, Wallace . Dimensionality Reduction and Anomaly Detection Based on Kittler's Taxonomy: Analyzing Water Bodies in Two Dimensional Spaces. Remote Sensing, v. 15, p. 4085, 2023.
Dias, Maurício A.; Marinho, Giovanna C.; Negri, Rogério G.; Casaca, Wallace ; Muñoz, Ignácio B.; Eler, Danilo M. A Machine Learning Strategy Based on Kittler's Taxonomy to Detect Anomalies and Recognize Contexts Applied to Monitor Water Bodies in Environments. Remote Sensing, v. 14, p. 2222, 2022.
Luz, Andréa E. O. ; Negri, Rogério G. ; MASSI, KLÉCIA G. ; Colnago, Marilaine ; Silva, Erivaldo A.; Casaca, Wallace . Mapping Fire Susceptibility in the Brazilian Amazon Forests Using Multitemporal Remote Sensing and Time-Varying Unsupervised Anomaly Detection. Remote Sensing, v. 14, p. 2429, 2022. Citações:
Ananias, Pedro H. M.; Negri, Rogério G.; Dias, Maurício A.; Silva, Erivaldo A. ; Casaca, Wallace . A Fully Unsupervised Machine Learning Framework for Algal Bloom Forecasting in Inland Waters Using MODIS Time Series and Climatic Products. Remote Sensing, v. 14, p. 4283, 2022.
Colnago, Marilaine; Benvenuto, Giovana A.; Casaca, Wallace ; Negri, Rogério G.; Fernandes, Eder G.; Cuminato, José A. Risk Factors Associated with Mortality in Hospitalized Patients with COVID-19 during the Omicron Wave in Brazil. Bioengineering-Basel, v. 9, p. 584, 2022.
Negri, Rogério G.; Luz, Andréa E. O. ; Alejandro C.; Casaca, Wallace . Mapping Burned Areas with Multitemporal-Multispectral Data and Probabilistic Unsupervised Learning. Remote Sensing, v. 14, p. 5413, 2022.
Benvenuto, Giovana A.; Colnago, Marilaine; Dias, Maurício A.; Negri, Rogério G.; Silva, Erivaldo A.; Casaca, Wallace. A Fully Unsupervised Deep Learning Framework for Non-Rigid Fundus Image Registration. Bioengineering, v. 9, p. 369, 2022.
Ramos, Lucas; Colnago, Marilaine; Casaca, Wallace. Data-driven Analysis and Machine Learning for Energy Prediction in Distributed Photovoltaic Generation Plants: A Case Study in Queensland, Australia. Energy Reports, v. 9(1), p. 745-751, 2022.
Amaral, Fabio; Casaca, Wallace; Oishi, Cássio; Cuminato, José Alberto. Simulating Immunization Campaigns and Vaccine Protection Against COVID-19 Pandemic in Brazil. IEEE Access, v. 9, p. 126011-126022, 2021.
Basso, Dayara; Colnago, Marilaine; Azevedo, Samara; Silva, Erivaldo; Pina, Pedro; Casaca, Wallace. Combining Morphological Filtering, Anisotropic Diffusion and Block-based Data Replication for Automatically Detecting and Recovering Unscanned Gaps in Remote Sensing Images. Earth Science Informatics, v. 14, p. 1145-1158, 2021.
Sapucci, Gabriela; Negri, Rogério; Casaca, Wallace; Massi, Klécia. Analyzing Spatio-temporal Land Cover Dynamics in an Atlantic Forest Portion Using Unsupervised Change Detection Techniques. Environmental Modeling & Assessment, v. 26, p. 581-590, 2021.
Amaral, Fabio; Casaca, Wallace; Oishi, Cássio; Cuminato, José Alberto. Towards Providing Effective Data-Driven Responses to Predict the Covid-19 in São Paulo and Brazil. Sensors, 21(2), 540, 2021.
Casaca, Wallace; Gois, João Paulo; Batagelo, Harlen; Taubin, Gabriel; Nonato, Luis Gustavo. Laplacian Coordinates: Theory and Methods for Seeded Image Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 43(8), p. 2665-2681, 2021.
Negri, Rogério; Frery, Alejandro; Casaca, Wallace; Azevedo, Samara; Dias, Maurício; Silva, Erivaldo; Alcântara, Enner. Spectral-Spatial-Aware Unsupervised Change Detection With Stochastic Distances and Support Vector Machines. IEEE Transactions on Geoscience and Remote Sensing, v. 59, 2863-2876, 2021.
Colnago, Marilaine; Casaca, Wallace; Souza, Leandro Franco. A High-order Immersed Interface Method Free of Derivative Jump Conditions for Poisson Equations on Irregular Domains. Journal of Computational Physics, v. 423, p. 109791, 2020.
Paula, Matheus; Colnago, Marilaine; Fidalgo, José Nuno; Casaca, Wallace. Predicting Long-Term Wind Speed in Wind Farms of Northeast Brazil: A Comparative Analysis Through Machine Learning Models. IEEE Latin America Transactions, v. 18, p. 2011-2018, 2020.
Leme, João; Casaca, Wallace; Colnago, Marilaine; Dias, Maurício. Towards Assessing the Electricity Demand in Brazil: Data-Driven Analysis and Ensemble Learning Models. Energies, 13(6), p. 1407, 2020.
Berlandi, Leticia B.; Casaca, Wallace. Comparação entre Diferentes Métodos Numéricos na Solução da Equação de Poisson Bidimensional: Gauss-Seidel, FAS e SPH. Revista Eletrônica Paulista de Matemática. v. 17, p. 51-60, 2020.
Dias, Maurício; Silva, Erivaldo; Azevedo, Samara; Casaca, Wallace; Statella, Thiago; Negri, Rogério. An Incongruence-Based Anomaly Detection Strategy for Analyzing Water Pollution in Images from Remote Sensing. Remote Sensing, v. 12 (1), p. 43, 2020.
Souza, Raíssa; Azevedo, Samara; Cardim, Guilherme; Silva, Erivaldo. A Semi-automatic Method for Reconstruction of Road Network Detected from Satellites Images. IOSR Journal of Engineering, v. 10(4), p. 32-43, 2020.
Motta, Danilo; Casaca, Wallace; Paiva, Afonso. Vessel Optimal Transport for Automated Alignment of Retinal Fundus Images. IEEE Transactions on Image Processing, v. 28, n. 12, p. 6154-6168, 2019.
Azevedo, Samara; Silva, Erivaldo; Colnago, Marilaine; Negri, Rogério; Casaca, Wallace. Shadow Detection using Object Area-based and Morphological Filtering for Very High-resolution Satellite Imagery of Urban Areas. Journal of Applied Remote Sensing, v. 13, p. 1, 2019.
Azevedo, Samara; Oliveira, Renan Furlan; Casaca, Wallace; Silva, Erivaldo. Deshadowing of High Spatial Resolution Imagery Applied to Urban Area Detection. Boletim de Ciências Geodésicas, v. 25, p. 1, 2019.
Negri, Rogerio; da Silva, Erivaldo; Casaca, Wallace. Inducing Contextual Classifications with Kernel Functions into Support Vector Machines. IEEE Geoscience and Remote Sensing Letters, v. 15, p. 1-5, 2018.
Motta, Danilo; Casaca, Wallace; Pagliosa, Paulo; Paiva, Afonso. A User-friendly Interactive Framework for Unsteady Fluid Flow Segmentation and Visualization. Journal of Visualization, v. 21, p. 625-636, 2018.
Negri, Rogerio G.; Casaca, Wallace; Silva, Erivaldo. Region-based Classification of PolSAR Data through Kernel Methods and Stochastic Distances. Lecture Notes in Computer Science, v. 10657, p. 433-440, 2018.
Luemba, M. E; Kunzayila, N.; Casaca, W. Analysis and Visualization of Brazilian Forest Data from the Forest Document System of the Brazilian Institute of the Environment. International Conference on Computational Science and Its Applications (ICCSA 2021).
Basso, D.; Colnago, M.; Azevedo, S.; Negri, R.; Casaca, W. Automatically Detecting Textual Content in High-Resolution Images. IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2021), 2021.
Casaca, W.; Ederli, D. P.; Silva, E.; Baixo, F. P.; Godoy, T. G.; Colnago, M. Comparing the Performance of Mathematical Morphology and Bhattacharyya Distance for Airport Extraction. IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2020), 2020.
de Paula, M. P.; Colnago, M.; Casaca, W. Redes Neurais MLP e NARX Aplicadas na Previsão da Velocidade do Vento em Parques Eólicos do Estado da Bahia. Congresso Nacional de Matemática Aplicada e Computacional (CNMAC), 2019.
Basso, D. P.; Colnago, M.; Casaca, W. Um Método Não-Supervisionado de Detecção de Oclusões Textuais para Imagens de Sensoriamento Remoto. Congresso Nacional de Matemática Aplicada e Computacional (CNMAC), 2019.
Colnago, M.; Souza, B. G.; Casaca, Wallace . Discalculia: um estudo de práticas pedagógicas e formação docente. In: VI Encontro Regional de Matemática Aplicada e Computacional, 2019, Bauru, SP. Caderno de trabalhos completos e resumos do VI ERMAC, 2019.
Figueira, A. L. C.; Silva, E.A.; Cruz, B. S. M.; Cardim, G. P.; Casaca, W. C. O. Detecção de dark slope streaks em imagens digitais da superfície de Marte de forma automatizada. In: 18ª Conferencia Iberoamericana en Sistemas, Cibernética e Informática (CISCI 2019), 2019, Orlando. Anais da Décima Octava Conferencia Iberoamericana en Sistemas, Cibernética e Informática. Orlando: International Institute of Informatics and Systemics, p. 63-68, 2019.
Cruz, B. S. M.; Silva, E.A.; Figueira, A. L. C.; Santos, F. P.; Casaca, W. C. O. Aplicação de técnica de inpainting para reconstrução de feições curvilíneas parcialmente detectadas em processo de extração de feições cartográficas em imagens digitais. In: 18ª Conferencia Iberoamericana en Sistemas, Cibernética e Informática (CISCI 2019), 2019, Orlando. In: Décima Octava Conferencia Iberoamericana en Sistemas, Cibernética e Informática, Orlando. Anais da Décima Octava Conferencia Iberoamericana en Sistemas, Cibernética e Informática - CISCI 2019. Orlando: International Institute of Informatics and Systemics, p. 57-62, 2019.
Berlandi, L. B.; Casaca, W. Comparação entre diferentes esquemas numéricos na solução da equação de Poisson bidimensional: diferenças finitas, multigrid e partículas. In: VI Encontro Regional de Matemática Aplicada e Computacional, 2019, Bauru, SP. Caderno de trabalhos completos e resumos do VI ERMAC, 2019.
Motta, D.; Casaca, W.; Paiva, A. Fundus Image Transformation Revisited: Towards Determining More Accurate Registrations. IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS), Karlstad, p. 227-232, 2018.
Cruz, B. S. M.; Figueira, A. L. C.; Silva, E. A.; Carvalho, F. P. S.; Casaca, W. C. O. Desenvolvimento de metodologia para detecções de slope streaks na superficie de marte utilizando morfología matemática. In: XVIII Simposio Latiamericano de Percepción Remoto - SELPER, 2018, Havana. Anais do XVIII Simposio Latinoamericano de Percepción Remota - SELPER, p. 1-10, 2018.
Silva, E.A.; Aguiar, T. O.; Azevedo, S. C.; Cardim, G. P.; Casaca, W. C. O. Aplicação do índice espectral de vegetação (ratio vegetation index) implementado no software Cartomorph. In: XVIII Simposio Latinoamericano de Percepción Remoto - SELPER, 2018, Havana. Anais do XVIII Simposio Latinoamericano de Percepción Remoto - SELPER, p. 35-45, 2018.