This project address the challenges for the effective use of supervised learning in dense pixel labeling in real-world applications by increasing the robustness of the… Read More »Dense Labeling of Remote Sensing Images in the Wild
This research project aims to develop methodologies in the selection process of audit objects related to the environmental area of interest of audition institutions in… Read More »AI Methodologies For Environmental Monitoring
The CADCOVID-19 project aims to develop an online system to assist in the diagnosis of COVID-19 using artificial intelligence and computer vision techniques. This is… Read More »Diagnosis Aid Using Chest X-Ray and Deep Learning
Geographic Information Systems (GIS) are automated systems whose purpose is to store, analyze and manipulate geographic data. They help decision-making on various issues related to… Read More »Automatic Thematic Maps Using Multiple Sensors
This project proposes the development of new approaches to deal with pattern recognition in applications that require the processing of large sets of images but… Read More »Pattern recognition using small annotated data sets
This project aims to address the problem of pattern recognition for the creation of thematic maps via supervised learning in large sets of images from… Read More »Deep Representations for Large-Scale Geo-Mapping