M.Sc. Maria Eduarda Pinheiro

Arbeitsschwerpunkte

Forschung

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

Projekte 

  • Research Training Group on Algorithmic Optimization (ALOP)

Wissenschaftlicher Werdegang

seit 2022Promotion an der Universität Trier
2022M.Sc. in Mathematik an der Federal University of Paraná
2020B.Sc. in Mathematik an der Federal University of Santa Catarina

Lebenslauf 

2020-2022Masterstudium Mathematik, Federal University of Paraná
2016-2019Bachelorstudium Mathematik, Federal University of Santa Catarina

Vorträge

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.

Publikationen

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-Teilnahmen

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