Dissertations and Theses from my graduate students, sorted by year. This is both to serve as a coherent repository for my students regardless of my affiliation, but also to provide some guidance to current and future students. If you are a new student, please check out my checklists for both MSc and PhD dissertations. If you are interested in undergraduate final year projects, check this repo instead.
- Automatic Reasoning over Contract Clauses - João Paulo Aires, 2019
- Goal Recognition over Imperfect Domain Models - Ramon Fraga Pereira, 2020
- Symbolic-geometric Planning - Maurício Cecílio Magnaguagno, 2020
- Learning how to act in a Normative Environment Through Observation Leonardo Rosa Amado, 2021
- An Organization Based Multi Agent System for Smarthome Management - Rodrigo Martins, 2014
- Feature Selection for Neuroimaging Applied to Word-category Identification in Dyslexic Children - Caroline Froehlich, 2015
- Integrating Robot Control Into the AgentSpeak(L) Programming Language - Rodrigo Wesz, 2015
- Identifying Potential Conflicts Between Norms in Contracts - João Paulo Aires, 2015
- Landmark-based Approaches for Plan Recognition Tasks - Ramon Pereira, 2016
- Using Operator Patterns to Infer Domain-knowledge in Planning - Mauricio Magnaguagno, 2016
- Identification of Autism Disorder Through Functional MRI and Deep Learning - Anibal Solon Heinsfeld, 2016
- An Architecture for Improved Demand Forecasting - Stephan Chang, 2017
- Q-table Compression for Reinforcement Learning - Leonardo Rosa Amado, 2018
- Bounded Monitor-placement in Normative Environments - Guilherme Krzsich, 2018
- Understanding Contracts in Natural Language - Daniele Antunes Pinheiro, 2019
- Feature Visualization for Dyslexia Identification in Functional MRI Data - Laura Angélica Tomaz da Silva, 2019
- Indexação Autônoma de Dados Utilizando Algoritmos Genéticos - Priscilla de Fátima Trindade Miehe, 2019
- Multi-model Approach to Identify Potential Problems in a Contract - Alexandre Yukio Ichida, 2020
- General Game Playing With Learned Rules - Gabriel de Arruda Rubin de Lima, 2020
- Automated Database Indexing Using Model-free Reinforcement Learning - Gabriel Paludo Licks, 2020
- Solving a Markov Decision Process Multidimensional Problem With Tensor Decomposition - Daniela Kuinchtner, 2021
- Geometric Deep Learning for Functional Neuroimaging Analysis - Matheus Zampieri Marcon, 2021
- (MEng) Adaption, Implementation, and Evaluation of Search Strategies in a HTN Planner - Cael Milne, 2023
- Playing the Game of Hive: an Imitation Learning Approach - John McKenzie, 2023
- Multiagent Goal Recognition as SAT - Kin Max Piamolini Gusmão, 2023
- Dimensional Speech Emotion Recognition From Bimodal Features - Larissa Guder, 2024