Program

 

Monday - 02/March

08.30-09.30

Registration

09.30 – 10.00

Dr. Miguel A. Cabrera

Welcome

10.00 – 10.30

Dr. Natalio Krasnogor

[Keynote speaker] "Computational Intelligence: Pedes in terra ad sidera visus"

10.30 – 11.30 COFFEE BREAK + Networking

11.30 -12.00

Graciela Molina

Research at LabCC

12.00 – 15.00 LUNCH

15.00- 16.45

Dr. Natalio Krasnogor

[School AI]

Computational Intelligence for Complex Optimization Problem

16.45 – 17.15 COFFEE BREAK

17. 15. 19 hs

Dr. Natalio Krasnogor

[School AI]

Computational Intelligence for Complex Optimization Problem

Tuesday 03/March

09.00 – 09.30

Santiago Feraud

Bussiness Driven Data Science: Recommendations @ MeLi

09.30 -10.00

Pablo Alcain

A focus on the science in data science - Machine Learning for agriculture

10.00 – 10.30

Elbio Zapata, Martin B.Menas

[Esp] Usando aprendizaje automático en e-commerce para detección de productos falsificados

10.30 – 11.00 – COFFEE BREAK

11.00 – 11.30

Eduardo Xamena

Advances in Automated Police Reports Classification through Deep Learning and Language Models

11.30 – 12.00

Eduardo Xamena

Handwritten Historical Documents Recognition Framework for Text Mining

12.00 – 15.00 LUNCH

15.00- 16.45

Dr. Natalio Krasnogor

[School AI]

Computational Intelligence for Complex Optimization Problem

16.45 – 17.15 COFFEE BREAK

17. 15 - 19 hs

Dr. Natalio Krasnogor

[School AI]

Computational Intelligence for Complex Optimization Problem

Wensday 04/March

09.00-09.30

Hernán César Ahumada

Chabot of attention to new students in the Faculty of Technology and Applied

09.30 – 10.00

Javier Bernal

Muon Identification Using Deep Learning

10.00 – 10.30

Matias Verdun

Felix Morales

LSTM-based neural network models for electric demand forecast: Comparison

10.30 – 11.00 – COFFEE BREAK

11.00 – 12.00

Cecilia Jarne, Pablo Alcain

[Mini course -hands on] A friendly introduction on Neural Networks and Keras

12.00 – 15.00 LUNCH

15.00- 16.45

Dr. Jaume Bacardit

[School AI]

Introduction to Machine Learning

16.45 – 17.15 COFFEE BREAK

17. 15 - 19 hs

Dr. Jaume Bacardit

[School AI]

Introduction to Machine Learning

Thrusday 05/March

09.00 – 10.00

Cecilia Jarne, Pablo Alcain

[Mini course -hands on] A friendly introduction on Neural Networks and Keras

10.00 – 10.30

Osvaldo Martin

[Invited talk]

All About that Bayes

10.30 – 11.00 – COFFEE BREAK

11.00 – 11.30

Cecilia Jarne

A set of studies of recurrent neural networks used to model tasks in the cerebral cortex

11.30 - 12.00

Osvaldo Matías Velarde

Reinforcement learning as a control scheme in deep brain stimulation.

12.00 – 12.30

Lucca Dellazoppa

A deep learning approach for LV quantification

12.00 – 15.00 LUNCH

15.00- 16.45

Dr. Jaume Bacardit

[School AI]

Introduction to Machine Learning

16.45 – 17.15 COFFEE BREAK

17. 15 - 19 hs

Dr. Jaume Bacardit

[School AI]

Introduction to Machine Learning

Friday 06/March

09.00 – 10.30

Cecilia Jarne, Pablo Alcain

[Mini course -hands on] A friendly introduction on Neural Networks and Keras

10.30 – 11.00 – COFFEE BREAK

11.00 – 11.30

Dr. Jaume Bacardit

[Invited talk]

A machine learning strategy for the recruitment of participants in clinical studies

11.30 -12.00

Dr. Ariel Hernán Curiale

[Invited talk]

Medical image quantification by using artificial intelligence

12.00 - 12.30

Fundación Sadosky

Data Science Program by Fundación Sadosky + award for the competition

12.00 – 15.00 LUNCH

15.00- 16.45

Dr. Jaume Bacardit

[School AI]

Introduction to Machine Learning

16.45 – 17.15 COFFEE BREAK

17. 15 - 19 hs

Dr. Jaume Bacardit

[School AI]

Introduction to Machine Learning

Talks