Book of abstracts here
Thursday November 8th, 2018
08:30 - 09:00 Registration
09:00 - 11:00 Session 1
Chair: Dae-Jin Lee
- 09:00 – 10:00 Keynote speaker: Mark Brewer "Model selection and the cult of AIC".
- 10:00 – 10:30 Invited speaker: Klaus Langohr "A bidirectional multi-state model for panel data on bone mineral density among HIV-infected patients".
- 10:30 – 11:00 Invited speaker: Edurne Barrenechea "Building bridges between computer sciences and medicine: two real cases of prediction models applied to classify polytrauma patients and polypharmacy patients".
- 11:00 – 11:30 Coffee or Tea break
11:30 - 13:30 Session 2
Chair: Aritz Pérez
- 11:30 – 12:30 Keynote speaker: Ludmila Kuncheva “Feature selection from wide datasets”.
- 12:30 – 13:00 Invited speaker: Jesus Cerquides "Intrinsic evaluation of Gamma-Poisson factor analysis models".
- 13:00 – 13:30 Invited speaker: Concepción Arenas “Identifying crucial differentially expressed genes”.
13:30 - 15:00 Pintxos Lunch
15:00 - 17:00 Session 3
Chair: María Xosé Rodríguez-Álvarez
- 15:00 – 16:00 Keynote speaker: Marian Scott “The role of Statistics in the era of big data: crucial, critical and under-valued”.
- 16:00 – 16:30 Invited speaker: Manuel Febrero Bande "Useful old tricks for Big Data paradigms".
- 16:30 – 17:00 Invited speaker: Carmen Aguilera Morillo "Classification of kinematic data via functional data analysis".
17:00 - 18:00 Poster Session
20:45 Social Dinner
Friday November 9th, 2018
09:00 - 11:00 Session 4
Chair: Jose A. Lozano
- 09:00 – 10:00 Keynote speaker: Anthony Bagnall "Time series classification".
- 10:00 – 10:30 Invited speaker: Ana Arribas Gil "Time-warping, registration or alignment: from discrete to continuous and back".
- 10:30 – 11:00 Invited speaker: Antonio Salmerón "Bayesian learning of latent variable models from non-stationary data streams".
- 11:00 – 11:30 Coffee or Tea break
11:30 - 13:30 Session 5
Chair: Ekhine Irurozki
- 11:30 – 12:30 Keynote speaker: Nada Lavrac “From relational to semantic data mining”
- 12:30 – 13:00 Invited speaker: Amparo Alonso Betanzos"Privacy-preserving, explainability and reduced-precision approaches in Machine Learning".
- 13:00 – 13:30 Invited speaker: David Ríos "(Almost everything about) Adversarial machine learning"
13:30 - 15:00 Pintxos Lunch