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Wallace Casaca

Professor of Computer Science

Universidade Estadual Paulista

Brazil

Research Interests

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Professors in Epidemiology

Articles (17)

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2027

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2026

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2023

Collaborators (5)

Tatiana Sussel Gonçalves Mendes

Assistant Professor

Universidade Estadual Paulista

BRAZIL

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José Nuno Moura Marques Fidalgo

Associate professor

Universidade do Porto Faculdade de Engenharia

PORTUGAL

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Eduardo Soares Nascimento

Pesquisador

Universidade Estadual Paulista

BRAZIL

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Alejandro Frery

Professor of Statistics and Data Science

NEW ZEALAND

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Rogério Negri

Assistant Professor

Universidade Estadual Paulista

BRAZIL

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Wallace Casaca

Research Interests

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Articles (17)

From Random to Pre-trained ViT Backbones for Improved Feature Extraction: Application to Diagnosis with Sensor Images

Forecasting and Explaining Ethanol Price Through Shapley Additive Explanations: Evidence From Two Decades of Panel Agroeconomic Data in Brazil

Deep Laplacian Coordinates: End-to-end deeply guided anisotropic diffusion for COVID-19 pulmonary lesion segmentation

Precision Meets Speed: An Attention Encoder–Decoder Network for Deforestation Segmentation

A Study of COVID-19 Diagnosis Applying Artificial Intelligence to X-Rays Images

Predictive and interpretable machine learning for COVID-19 resurgences: the role of SARS-CoV-2 variants in the post-pandemic era

Unsupervised Change Detection Approach via Pseudo-Labeling, Machine Learning, and Spectral Index Time Series

Artificial Intelligence for Forensic Image Analysis in Bullet Hole Comparison: A Preliminary Study

Epidemic Modeling in Satellite Towns and Interconnected Cities: Data-Driven Simulation and Real-World Lockdown Validation

Conditional Generative Adversarial Networks and Deep Learning Data Augmentation: A Multi-Perspective Data-Driven Survey Across Multiple Application Fields and Classification Architectures

A Robust Dual-Mode Machine Learning Framework for Classifying Deforestation Patterns in Amazon Native Lands

Unsupervised Multitemporal Triclass Change Detection

Integrating Unsupervised Machine Intelligence and Anomaly Detection for Spatio-Temporal Dynamic Mapping Using Remote Sensing Image Series

Associating Anomaly Detection Strategy Based on Kittler’s Taxonomy with Image Editing to Extend the Mapping of Polluted Water Bodies

Predicting Energy Generation in Large Wind Farms: A Data-Driven Study with Open Data and Machine Learning

Dimensionality Reduction and Anomaly Detection Based on Kittler’s Taxonomy: Analyzing Water Bodies in Two Dimensional Spaces

Robust Seeded Image Segmentation Using Adaptive Label Propagation and Deep Learning-Based Contour Orientation

Collaborators (5)

Tatiana Sussel Gonçalves Mendes

José Nuno Moura Marques Fidalgo

Eduardo Soares Nascimento

Alejandro Frery

Rogério Negri

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