Scientific Program


Thursday November 7, 2019

 

09:00 - 09:30 Registration

 


09:30 - 11:20 Session 1

Chair: María Xosé Rodríguez Álvarez

  • 09:30 – 10:20 Keynote speaker: Piercesare Secchi "A grand tour of O2S2 and its applications".
  • 10:20 – 10:50 Invited speaker: Mª Eugenia Castellanos "Type g-priors for variable selection in Bayesian survival analysis".
  • 10:50 – 11:20 Invited speaker: Anabel Forte "Statistics for a better model".

  • 11:20 – 11:50 Coffee or Tea break

11:50 - 13:40 Session 2

Chair: Aritz Pérez

  • 11:50 – 12:40 Keynote speaker: James Cussens “Learning Bayesian networks from data and knowledge”.
  • 12:40 – 13:10 Invited speaker: David Gómez-Ullate "Natural Language Processing for information retrieval in legal texts".
  • 13:10 – 13:40 Invited speaker: Karina Gibert "The data mining methods conceptual map: criteria to choose the method in real data science problems".

13:40 - 15:10 Pintxos Lunch


15:10 - 17:00 Session 3

Chair: Jose Antonio Lozano

  • 15:10 – 16:00 Keynote speaker: Pierre-François Marteau “Probabilistic perspective on time elastic averaging of time series and applications”.
  • 16:00 – 16:30 Invited speaker: Javier Nogales "Massive times-series forecasting with recurrent neural networks".
  • 16:30 – 17:00 Invited speaker: Josu Ceberio “Bayesian performance analysis for algorithm performance comparison".

17:00 - 18:00 Poster Session


20:45 Social Dinner

 

 

Friday November 8, 2019

 


09:30 - 11:20 Session 4

Chair: Dae-Jin Lee

  • 09:30 – 10:20 Keynote speaker: Jutta Gampe "Data (and) Science in Demographic Research".
  • 10:20 – 10:50 Invited speaker: Pedro Delicado "Understanding complex predictive models with ghost variables".
  • 10:50 – 11:20 Invited speaker: Pedro A. Gutiérrez "An overview of ordinal classification".

  • 11:20 – 11:50 Coffee or Tea break

11:50 - 13:40 Session 5

Chair: Ekhine Irurozki

  • 11:50 – 12:20 Invited speaker: Verónica Bolón “Feature selection for Big Data"
  • 12:20 – 12:50 Invited speaker: Ricardo Cao "Nonparametric mean estimation for big-but-biased data".
  • 12:50 – 13:40 Keynote speaker: Stephan Clemençon "Selection bias issues in machine learning and transfer learning"

13:40 - 15:00 Pintxos Lunch and farewell