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 2022 | Promotion an der Universität Trier |
|---|---|
| 2022 | M.Sc. in Mathematik an der Federal University of Paraná |
| 2020 | B.Sc. in Mathematik an der Federal University of Santa Catarina |
Lebenslauf
| 2020-2022 | Masterstudium Mathematik, Federal University of Paraná |
|---|---|
| 2016-2019 | Bachelorstudium 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
