Program

 
April 1
April 2
April 3
April 4
April 5
08:00 - 09:45
Renata Vieira
Mini-Course 1
Natural Language Processing - Dealing with unstructured data
Renata Vieira
Mini-Course 1
Natural Language Processing - Dealing with unstructured data
 
 
Moacir Ponti
Mini-Course 2
Deep Learning: dense, spatial and temporal data processing
Moacir Ponti
Mini-Course 2
Deep Learning: dense, spatial and temporal data processing
09:45 - 10:15
Break
Break
Helen Meng
*(9:30 - 11:00)
Big Data and Artificial Intelligence for Learning and Wellbeing
Break
Break
10:15 - 12:00
Renata Vieira
Mini-Course 1
Natural Language Processing - Dealing with unstructured data
Renata Vieira
Mini-Course 1
Natural Language Processing - Dealing with unstructured data
 
 
Moacir Ponti
Mini-Course 2
Deep Learning: dense, spatial and temporal data processing
Moacir Ponti
Mini-Course 2
DDeep Learning: dense, spatial and temporal data processing
12:00 - 14:00
Lunch
Opening
*(13:30 - 14:00)
Lunch
Lunch
Lunch
Lunch
14:00 - 15:30
Luis Gustavo Nonato
Spatio-Temporal Data Analytics via Graph Signal Processing
Yuri Saporito
Gradient Boosting for inverse problems
Frédéric Chazal
Understanding the shape of data: a brief introduction to Topological Data Analysis
Alberto Paccanaro
Machine learning algorithms for making inferences on networks and answering questions in biology and medicine
Fabio Kon
City Data Science and Technology
15:30 - 16:00
Break
Break
 
Break
Break
16:00 - 17:30
Joana Monteiro
The dispersion of crime concentration during a period of crime increase
Marcelo Moreira
Optimal Invariant Tests in IV Regression
 
Andre Carvalho
AutoML: Towards Automated Machine Learning
Claudio Silva
Sports Data Science