Students
Students (supervising or co-supervising), ordered by starting date.
D.Sc.
Language Models Abilities
Self-improved Agents
Adaptive Language Models
J. Pedro D'Assumpção
Interpretable LLMs for Ageing
Juan Garcia
Explainable Multilingual Post-training
Handling complex questions in long texts
Algorithmic Reasoning
Persuasion Detection
Camila Lopes
Federated Learning for Astronomy data
XAI Recommendation Systems
Model Merging and Workflows
Text Simplification
M.Sc.
Skewed data for classification
Reasoning for financial analysis
Undergraduate
Models for multilingual metaphor
Multilingual automated fact-checking
ESG Reports, metaphor resources
ESG Topics and Datasets
Women health Q&A
ESG Q&A
Women health Q&A
Alumni
D.Sc.
- Thais Luca Marques de Almeida - Similarity-Based Source Selection For Transfer Learning In Symbolic And Neural Relational Representations - 2026
- Vítor Nascimento Lourenço - "Towards Trustworthy and Explainable Automated Fact-Checking: from Multimodal Classification to Knowledge-Grounded Reasoning" - 2026
- Sidney Araújo Melo — Graph Representation Learning for Game Provenance — 2024
- Claudio Vasconcelos Ribeiro — A Collaborative Analysis of Anomalous Trajectories of Vessels Based on Clustering Algorithms — 2024
- Paulo Roberto Mann Marques Junior — "Automatic Screening for Depression Using Brazilian Portuguese Social Media Data: Multimodality, Sequential Information, and Topics" — 2023
- Jéssica Soares dos Santos — A Dataset Ranking Approach for Transfer Learning to Support Sentiment Analysis in Electoral Scenarios — 2023
- David Batista Carvalho — Social Behavior of Characters in Computational Story Generation — 2017
M.Sc.
- Gabriel Assis de Moraes - "On the Trail of a Green and Golden Generative AI: Assessing LLM Text Generation in Brazilian Portuguese" - 2026
- Gabriel Henrique Coelho Silva — Handwritten Text Recognition for Portuguese - 2025
- João Vítor Oliveira Ferreira — Metamorphic Testing for Fake News Detection in LLMs - 2025
- Osniel Lopes Teixeira — Graph Reinforcement Learning for Combinatorial Optimization - 2025
- Ronald Albert de Araújo Júnior — Spectral Graph Neural Networks for Algorithmic Reasoning - 2025
- Camila Eleutério Gusmão — Generalization of Fake News Classifiers in Portuguese - 2024
- João Victor Passeri Medeiros Amorim — Football Match Prediction with Graph Neural Networks - 2024
- Felipe dos Santos Ribeiro — Fact Checking and Misinformation in Brazilian Portuguese - 2023
- Ricardo de Souza Moura — Pruning BERT Models for Twitter Sentiment Analysis - 2023
- Elbe Alves Miranda — Natural Language Question Answering over Knowledge Graphs - 2023
- Fernando Pereira Carneiro — Portuguese Language Model for Tweets - 2023
- Annie Vianna Amorim — Topic Modeling Evaluation for Short Texts - 2023
- Luiza Cunha de Menezes — Data Augmentation for Readability Assessment - 2023
- Sidney Loyola de Sá — Predicting Streaming Video Popularity with Machine Learning - 2022
- Patrick Blackman Sphaier — User Intent Classification in Noisy Text - 2021
- Marcelo Andrade Rodrigues D'Almeida — Reinforcement Learning for Traffic Signal Control - 2021
- Vítor Nascimento Lourenço — Knowledge Graph Representation Learning - 2021
- Arthur Mariano Rocha de Azevedo Scalercio — Unsupervised Text Style Transfer - 2021
- Thais Luca Marques de Almeida — Transfer Learning for Relational Dependency Networks - 2021
- Letícia Freire Figueiredo — Genetic Algorithms for Relational Dependency Networks - 2021
- Sérgio de Melo Barreto Júnior — Sentiment Analysis in Tweets - 2021
- Eliseu Paz e Silva de Guimarães — Data Selection for Transfer Learning in Sentiment Analysis - 2021
- Daniel Pinheiro da Silva Junior — Parameter Recommendation in Scientific Workflows - 2019
- Paulo Roberto Mann Marques Junior — Depression Detection in Social Media - 2019
- Ícaro Goulart Faria Motta França — Reinforcement Learning for Game Playing - 2019
- Sidney Araújo Melo — Graph Representation Learning for Game Provenance - 2019
- Rodrigo Azevedo Santos — Transfer Learning for Relational Models - 2019
- Kid Yonatan Valeriano Valdez — Unsupervised Analysis of Political Speeches - 2019
- Ashey John Masi Noblega — Reinforcement Learning for Game Balancing - 2019
- Felipe Borda Carregosa — Differentiable Neural Virtual Machines - 2018
- Victor Augusto Lopes Guimarães — Probabilistic Theory Revision - 2018
- Breno William Santos Rezende de Carvalho — Semi-structured Linguistic Data for ML - 2018
- André Luís da Costa Nascimento — Reinforcement Learning for Cloud Workflow Scheduling - 2018
- Hugo Arraes Henley — Predicting University Dropout with Relational ML - 2018
- Rainier Augusto Ferreira Sales — Affective NPCs in Simulation Games - 2014
- Raphael Melo Thiago — Learning Multiple Concepts in Description Logics - 2014
Undergraduate
- Check my Lattes CV . There are too many ...