Data Science and Mining team (DaSciM), LIX Laboratory, École Polytechnique.


Slides from a selection of talks and tutorials. The slides from conference and workshop talks are linked to within my Publications page.


Multi-label Classification for Batch and Streaming Data MAESTRA Summer School on Mining Big and Complex Data 04-08 September 2016, Ohrid, Macedonia.

Multi-label Classification ECML-PKDD Summer School on Data Sciences for Big Data 02-05 September 2015, Porto, Portugal.

Multi-label Classification [Part I], [Part II] Summer School on Machine Learning and Knowledge Discovery in Databases (MLKDD) July 14-17, 2013, Sao Carlos, SP, Brazil.

Selection of Seminar Talks

"Classifier Chains for Multi-label Classification". Seminar Talk. University of Helsinki, HIIT Kumpula, Helsinki, March 28, 2014

"Advances in Multi-label Classification". Seminar Talk. Universidad de Málaga, Departmento Lenjuages y Ciencias de la Computación, Málaga, June 2011

"On-line Multi-label Classification". Seminar Talk. Universitat Politècnica de Catalunya, Departament de Llenguatges i Sistemes Informàtics, Barcelona, October 2008


Advanced Topics in Artificial Intelligence, 2017—2018. M1. École Polytechnique.

Machine Learning I, 2017—2018. M1. École Polytechnique.

Methods for Big Data Analytics 2016—2017 M2 Datascience Program. École Polytechnique, Université Paris Saclay.

Introduction to Machine Learning, 2016—2017. M1. École Polytechnique.

IoT Stream Data Mining 2016/2017. M2 Data and Knowledge Program. Université Paris Saclay

Special Course in Computer and Information Science III P Spring 2015 Dynamical models for prediction and decision making. Aalto University.

Tratamiento de Datos 2013/2014 (Labs - Procesos Gaussianos). Máster Universitario en Ingeniería de Telecomunicación, Universidad Carlos III de Madrid. [Código Matlab Part 1, Part 2].

Systems and Signals 2013/2014 (Part 1/2) Grado en Ing. Biomédica, Universidad Carlos III de Madrid. [Course Notes].