Program

Keynote Speaker: Annalisa Appice

Explainable Artificial Intelligence for Cybersecurity

Invited Speaker: Wenceslao González

Statistical Inference With Synthetic Functional Data Derived From Point Processes With Applications

Invited Speaker: Dae-Jin Lee

Tackling the Challenges in Sports Data Science

Keynote Speaker: Dolores Romero Morales

How Operations Research Fights Algorithmic Unfairness in Machine Learning

Invited Speaker: Emilio Carrizosa Priego

Group Counterfactual Explanations: An Explainable Machine Learning Problem Addressed By Mathematical Optimization Methods

Invited Speaker: Mª Dolores Ugarte

On multivariate Bayesian spatio-temporal P-spline models in disease mapping

Keynote Speaker: Jean-Michel Loubes

Is it possible to define and quantify a cost of fairness?

Invited Speaker: Alicia Troncoso

Streaming time series: A new approach for real-time forecasting

Invited Speaker: Beatriz Remeseiro

Deep Learning for Medical Image Analysis

Keynote Speaker: Manuel Gómez Rodríguez

Improving Decision Making with Machine Learning, Provably

Invited Speaker: Jose Ramón Berrendero

Functional data classification and reproducing kernel Hilbert spaces

Invited Speaker: Eustasio del Barrio

Nonparametric Multiple-Output Center-Outward Quantile Regression

Keynote Speaker: Jesse Read

Multi-label Learning: An Update

Invited Speaker: Jon Vadillo

Adversial Examples in Deep Learning - Introduction and Recent Trends

Invited Speaker: Jerónimo Hernández-Gonzalez

Weak information of supervision: When is it helpful?