Marcos M. Raimundo

Marcos M. Raimundo

Professor of Machine Learning and Optimization

Institute of Computing - University of Campinas

Marcos M. Raimundo

Marcos M. Raimundo is an Assistant Professor at University of Campinas (UNICAMP), in the Institute of Computing (IC). He is also a faculty member of the REasoning for COmplex Data laboratory (Recod.ai). His research interests includes Machine Learning, Multi-objective Optimization, Ethical AI, Mathematical Programming.

Interests
  • Machine Learning
  • Multi-objective Optimization
  • AI Ethics
  • Mathematical Programming
Education

  • Ph.D. in Computer Engineering, 2018

    School of Electrical and Computer Engineering - University of Campinas

  • M.Sc. in Computer Engineering, 2014

    School of Electrical and Computer Engineering - University of Campinas

  • B.Sc. in Computer Engineering, 2011

    University of Campinas

Teaching

Ethical Machine Learning (2024)
The course empowers students to identify and mitigate negative impacts of data and machine learning tools on vulnerable groups, promoting transparency and ethical solutions. It involves data analysis, application of machine learning models, and understanding optimization problems, with an initial assessment and leveling classes to ensure the necessary foundation.
Jun 4, 2024
Fundamentals of Linear Algebra and Optimization for Machine Learning (2024)
This course equips students with the mathematical foundations of linear algebra and optimization, crucial for understanding and implementing machine learning algorithms. Final Objectives This course capacitates students to understand, implement, and evaluate machine learning algorithms by providing a solid foundation in the mathematical principles of linear algebra and optimization.
Jun 4, 2024
Object-Oriented Programming - MC322
The course aims to introduce and develop object-oriented thinking in students. It covers fundamental OO concepts such as classes, objects, encapsulation, inheritance, and polymorphism, as well as good practices for designing and implementing classes.
Mar 1, 2024
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Projects

Fair and Transparent Credit Scoring
The goal of this project is to build an automatic credit scoring system that uses mobile and socio-economical data to promote finance inclusion.
May 1, 2022
Fair and Transparent Credit Scoring
Ethical AI
The goal of this project is to promote trust, transparency and fairness in machine learning models.
May 1, 2020
Ethical AI
Multiobjective optimization in machine learning
Multiobjective optimization in machine learning
May 1, 2014
Multiobjective optimization in machine learning
Algorithms for Multi-objective Optimization
Many practical applications are better modeled as optimization problem, characterized by the existence of multiple conflicting objectives. A classical and usual example is the compromise between maximizing consumer satisfaction and minimizing service cost.
May 1, 2013
Code
Algorithms for Multi-objective Optimization

Latest Publications

Lucas Resck, Marcos M Raimundo, Jorge Poco (2024). Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales. Findings of the Association for Computational Linguistics: NAACL 2024.

Vitória Guardieiro, Marcos M Raimundo, Jorge Poco (2023). Enforcing Fairness Using Ensemble of Diverse Pareto-optimal Models. Data Mining and Knowledge Discovery.

Marcos M Raimundo, Luis Gustavo Nonato, Jorge Poco (2022). Mining Pareto-optimal Counterfactual Antecedents with a Branch-and-Bound Model-agnostic Algorithm. Data Mining and Knowledge Discovery.

Vitoria Guardieiro, Marcos M Raimundo, Jorge Poco (2021). Analyzing the Equity of the Brazilian National High School Exam by Validating the Item Response Theory’s Invariance.

Germain Garcia-Zanabria, Marcos MM Raimundo, Jorge Poco, Marcelo Batista Nery, Claudio T Silva, Sergio Franca Adorno De Abreu, Luis Gustavo Nonato (2021). CriPAV: Street-Level Crime Patterns Analysis and Visualization. IEEE Transactions on Visualization & Computer Graphics.

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