Novedades

Ecuaciones diferenciales

Seminario 20/23: Laureano F. Escudero (Universidad Rey Juan Carlos), On the Stochastic Dominance functional-basedrisk averse versions in mathematical optimization under uncertainty

Very frequently, mainly in dynamic problems,some data is uncertain at the decision-making time, although some information is already available. The mathematical optimization models under uncertainty, so-named stochastic optimization ones structure the uncertainty in a set of representative scenarios. The stochastic Risk Neutral (RN) models aim to obtaining a feasible solution for the scenario-based constraint system…

Machine_learning

Seminario 20/22: David Ríos (Real Academia de Ciencias), Adversarial Machine Learning: Perspectives from Adversarial Risk Analysis

Adversarial Machine Learning (AML) is emerging as a major field aimed at the protection of automated ML systems against security threats. The majority of work in this area has built upon a game-theoretic framework by modelling a conflict between an attacker and a defender. After reviewing game-theoretic approaches to AML, we discuss the benefits that…

deporte

Seminario 20/21: Dae-Jin Lee (Centro Vasco de Matemática Aplicada, BCAM): Ciencia de datos, tecnología y deporte: retos y experiencias desde la perspectiva de la investigación matemática

En esta charla se introducirá un campo emergente como es la ciencia de datos en el deporte y su creciente relevancia en el rendimiento deportivo, la prevención de lesiones o el análisis técnico-táctico en deportes de equipo. Se plantearán una serie de cuestiones importantes relacionadas con esta nueva profesión y la ciencia detrás de la…