Complex networks II

20 dezembro 2017, 17:00 • Alexandre Francisco

Random walks, eigenvector centrality and PageRank. Power method. Closeness centrality and betweenness centrality. Community finding. Modularity. Graph partitioning and modularity optimization. Null models. Problem hardness. Applications to the analysis of brain functional networks. Supporting material: topics 03 and 04.

Complex networks I

19 dezembro 2017, 17:00 • Alexandre Francisco

Introduction to network science. Brain functional networks: inference from fMRI data and general properties. Centrality measures and network properties.  Degree distribution. Connected components distribution. Scale-free networks.  Average path length, effective diameter and small world effects. Clustering coefficient, counting triangles, counting sub-graphs and graph motifs. Basic algorithms and efficient graph representations. Supporting material: topics 02 and 03.

Machine learning II

13 dezembro 2017, 17:00 • Patrícia Margarida Piedade Figueiredo

Applications to brain data

Machine learning I

12 dezembro 2017, 17:00 • Patrícia Margarida Piedade Figueiredo

Basic concepts in machine learning and pattern recognition

Supervised and unsupervised learning techniques

Cognitive robotics II

6 dezembro 2017, 17:00 • Patrícia Margarida Piedade Figueiredo

Non-verbal communication

Tools for rehabilitation