Department of Data Science

Datenbasierte Optimierung unter Unsicherheit für Stromnetzwerke (2024) Aigner KM Other publication type Inverse stochastic resonance in adaptive small-world neural networks (2024) Yamakou M, Zhu J, Martens EA Journal article Computing Optimality Certificates for Convex Mixed-Integer Nonlinear Problems (2024) Halbig K, Hümbs L, Rösel F, Schewe L, Weninger D Journal article Quadratic Optimization Models for Balancing Preferential Access and Fairness: Formulations and Optimality Conditions (2024) Schmitt C, Singh B Journal article A Lattice Based Service Oriented Framework for an Effective Human Resource Management (2024) Molla MJH, Basak SK, Obaidullah SM, Debnath NC, Sen S Journal article Optimization of Underground Train Systems (2024) Hager L, Kuen T Book chapter / Article in edited volumes Ethical AI Principles for Enterprise Collaboration in Federated Learning Networks (2024) Müller K, Kolb L, Lechner U, Bodendorf F Conference contribution The non-stop disjoint trajectories problem (2024) Hoch B, Liers-Bergmann F, Neumann S, Zaragoza Martínez FJ Journal article A Framework for Data-driven Explainability in Mathematical Optimization (2024) Aigner KM, Goerigk M, Hartisch M, Liers F, Miehlich A Conference contribution, Conference Contribution Data-driven Optimization under Uncertainty for Power Networks (2024) Aigner KM Thesis