M.Sc. Maria Eduarda Pinheiro

Focus of work

Research

  • Optimization and Machine Learning in Data Science and Statistics
  • Semi-supervised Learning with Cardinality Constraint

Projects

  • Research Training Group on Algorithmic Optimization (ALOP)

Scientific career

since 2022Doctroal candidate at Trier University
2022M.Sc. in Mathematics at the Federal University of Paraná
2020B.Sc. in Mathematics at the Federal University of Santa Catarina

Curriculum vitae

2020-2022M.Sc. Mathematics at the Federal University of Paraná
2016-2019B.Sc. Mathematics at the Federal University of Santa Catarina

Conference presentations

Pinheiro, M.E. & Burgard, J. P. & Schmidt M. (2023): Mixed-Integer Quadratic Optimization and Iterative Clustering Techniques for Semi-Supervised Support Vector Machines. Statistische Woche 2023, Dortmund.

Pinheiro, M.E. & Burgard, J. P. & Schmidt M. (2023): MIQP and Iterative Cluster for Semi-Supervised SVMs. German SIAM Student Chapters Meet Algorithmic Optimization, Trier.

Pinheiro, M.E. & Burgard, J. P. & Schmidt M. (2023): Mixed-Integer Quadratic Optimization and Clustering for Semi-Supervised Support Vector Machines. SIAM Conference on Optimization, Seattle, United States.

Publications

Pinheiro, M.E. & Burgard, J. P. & Schmidt M. (2023): Mixed-Integer Quadratic Optimization and Iterative Clustering Techniques for Semi-Supervised Support Vector Machines. https://arxiv.org/abs/2303.12532.

Workshop participations

ALOP Workshop on Algorithmic Optimization and Data Science, 20-22, July 2022, Trier

Autumn School on Model Reduction and Model Predictive Control with Differential Equations, 4-7, October 2022, Trier