• Graph representation learning for images 

  Avelar, Pedro Henrique da Costa (2025) [Tesis]

  While a plurality of developments in AI still focus largely on Convolutional Neural Networks and Transformers, there has been frequent calls in the community towards building models with symbolic and relational processing ...
• Enhancing weakly supervised object detection via long-term self-supervised instance mining 

  Zeni, Luis Felipe de Araujo (2025) [Tesis]

  Object detection is a fundamental computer vision task that aims to localise and recognise objects within images. However, fully supervised object detection (FSOD) methods re- quire expensive bounding box annotations, which ...
• Scalable and efficient deep learning for diabetic retinopathy classification on ARM-based architectures 

  Araújo, Thiago da Silva (2026) [Tesis de maestría]

  Efficient and scalable deep learning (DL) is critical for practical and sustainable analysis of medical imaging. This study investigates model selection, optimization, and scalability of convolutional neural networks (CNNs) ...
• Convolutional and attention mechanisms for 3D object classification using panoramas and beyond 

  Stringhini, Rômulo Marconato (2025) [Tesis]

  Advancements in 3D data acquisition technologies and CAD software have increased the availability of three-dimensional (3D) data, which provides detailed geometric, shape, and scale information with applications in fields ...
• Desenvolvimento e avaliação de um ambiente de realidade virtual para treinamento de atletas de futebol 

  Secco, Otávio Augusto Dellay (2026) [Tesis de maestría]

  A realidade virtual (RV) se destaca por sua capacidade de simular ambientes reais que reproduzem sensações e percepções do mundo real. Essa característica encoraja o uso da RV para a visualização de dados capturados do ...
• Generating reliable computational data through the Lattice boltzmann method : a simulation of the lauric acid melting process 

  Tacques Filho, Alexandre de Quadro (2026) [Tesis de maestría]

  Latent Heat Energy Storage Systems (LHESS) using Phase Change Materials (PCMs) offer high thermal energy storage density and stable temperature regulation, yet accurately modeling phase change remains challenging. This ...
• Multilingual structured sentiment analysis via machine reading comprehension 

  Pessutto, Lucas Rafael Costella (2025) [Tesis]

  Sentiment Analysis has gained significant attention with the rise of e-commerce plat- forms. Initially, this field focused on classifying the overall sentiment of entire reviews or single sentences. However, Aspect-based ...
• Exploração de técnica de visualização de dados aplicada à dinâmica molecular : análise de mapas de correlação cruzada dinâmica como redes dinâmicas 

  Graeff, Guilherme Rafael (2026) [Tesis de maestría]

  A Bioinformática é uma área multidisciplinar que faz uso de ferramentas computacionais para a análise de dados biológicos. Uma das áreas de aplicação da Bioinformática é a Biologia Estrutural, a qual estuda o funcionamento ...
• Integer programming with Gröbner bases and applications to multiobjective integer programming 

  Langeloh, Gabriel Mattos (2025) [Tesis]

  Integer programming and its multiobjective variants are important NP-hard problems with applications in graph theory, scheduling, logistics and decision making, among others. One approach to solving these classes of ...
• AI vision identification for ISO 7010 safety standards and signs 

  Feiten, Ricardo Beck (2025) [Tesis de maestría]

  The International Organization for Standardization (ISO) 7010 standard is a critical component in maintaining safety and health in various environments, including workplaces, public areas and where heavy machinery is ...

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