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

Talks

Slides from a selection of talks and tutorials.

A Small Selection of Talks

"Artificial Intelligence in Time Series and Sequential Decision Making". in Intelligence Artificielle et Médecine Personnalisée, Lyon. November 06, 2018

"Methods Deep in the Output Space". Imperial College London. September 10, 2018

"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

Tutorials

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.

Teaching

  • CSE204 Machine Learning Bachelor 2 (2019)

  • [D&K] Data Stream Mining 2018/2019. M2 Data and Knowledge Program.

  • MAP631 Deep Learning, 2018. M2. École Polytechnique.

  • INF554 Machine Learning I, 2018—2019. M1. École Polytechnique.

  • INF581 Advanced Topics in Artificial Intelligence, 2018. M1. École Polytechnique.

  • DSSP Data Science Starter Program, 2018. École Polytechnique Executive Education.

  • [D&K] IoT Stream Data Mining 2017/2018. M2 Data and Knowledge Program. Université Paris Saclay

  • INF554 Machine Learning I, 2017—2018. M1. École Polytechnique.

  • MAP670 Methods for Big Data Analytics 2016—2017 M2 Datascience Program. École Polytechnique, Université Paris Saclay.

  • INF554 Introduction to Machine Learning, 2016—2017. M1. École Polytechnique.

  • [D&K] 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].