Students

Current students

• Beatriz Farkas (undergrad student): A Functional and Performant Stencil Library

• Daniel Kantor (Ms.c.): Simulated Annealing for Symbolic Regression

• Éric Tadeu Camacho de Oliveira (Ph.d. candidate): Link Prediction for Community Detection

• Guilherme Aldeia (Ph.d. student): Interpretable Symbolic Regression

• Matheus Fernandes (Ph.d. student): Program Synthesis with Type Constraints and Recursion Schemes I II III

Past students

• Alexandre Szabo (post-doc): Fuzzy Clustering

• Beatriz Mayumi Andrade (undergrad student): Feature Engineering for Interpretable Recommender Systems

• Bruno Crepaldi Ambrózio (undergrad student): Text Co-clustering / Movie Recommendations with Co-Clustering

• Cassia de Sousa Carvalho (Ms.C): An Explicit Recommender System with Side Information

• Charles Henrique Porto Ferreira (Ph.d.): Extraction and combination of multiple views oftexts to improve text classification II

• Daniel de Pina (undergrad student): Benchmarking Symbolic Regression

• Douglas Henrique Alves da Silva. Implementation of a Recommender System in a Fashion Clothing Search Engine

• Eduardo Nobre Luiz (undergrad student): A Study of Multimodal Optimization Algorithms

• Fillipe Cerdan Silva (undergrad student): Visual Representation of Documents Using Overlapping Co-Clustering
• Guilherme Leoi (undergrad student): An Implementation of Multiview Symbolic Regression in Julia

• Henrique Fantato Silva de Albuquerque. Type Drive Development - A case study based on an implementation of a Neural Network

• Julia Botan (Ms.c. candidate): Offline Detection of Twitter Events by Term Clustering

• Karine da Silva Miras de Araujo (Ms.c.): Neuroevolution for a Genetic Strategy with the EVOMAN AI Agent.

• Larissa Copel Rothman. Visualização de Dados: Data Legibility and the Coronavirus Data Plotter

• Lucas Tornai: A Safe Implementation of Data Structures Using Dependent Types

• Maira Zabuscha de Lima (undergrad student): Generating Interaction-Transformation Expressions for Symbolic Regression with Multi-layer Perceptron

• Mayara Messiano Carrasco (undergrad student): Optimal Transport Network with Slime Mould Algorithm

• Pedro Moreno (undergrad student): A Benchmark of PushGP for Program Synthesis

• Priscila Berbert (Ph.d): A Bio-Inspired Approach for Hydroelectric Usage Planning

• Rafael Calpena (undergrad student): Propagators Network for Graph Coloring

• Robert John Dunn (undergrad student @ Heriot-Watt University): Evolving a Learning Agent using Neuroevolution in the FightingICE Game Framework.

• Rodrigo Cabrera Castaldoni. Mutual Information Analysis in Artificial Neural Networks

• Rafael Sakurai (Ms.c.): Neuroevolution applied to the training of Convolutional Neural Networks for Learning Go Strategies

• Rosana Veroneze (Ms.c.): Missing Data Treatment using Biclustering with Multiple Imputation

• Vinicius Resende. Generalization of Meta-Heuristics in Haskell

Prospective Students / Alunos Candidatos

• Read my current research interests and current projects / Leia meus atuais interesses de pesquisa e meus projetos atuais.

• Send an e-mail indicating the position (intern, Ms.C/Ph.D student, Post-doc), the project you are interested in working on, a brief description of yourself, a brief research project proposal, and any other additional information (grade history, published papers, github repository, portfolio, etc.). / Envie um e-mail indicando para qual vaga deseja se inscrever (iniciação científica, mestrado/doutorado, pós-doc), o projeto que gostaria de trabalhar, uma breve descrição sua, uma breve descrição da proposta de pesquisa, e quaisquer outras informações que julgar pertinente (histórico escolar, artigos publicados, repositório do github, portfolio, etc.)

• Sample material to read: Symbolic Regression, Equality Saturation - I, Equality Saturation - II, Program Synthesis, Multimodal Optimization.