Name: Deep Learning @ INAF
Start: 2019-09-16T13:00:00+02:00
End: 2019-09-19T17:00:00+02:00
Location: No location set

Deep Learning @ INAF

from Monday, September 16, 2019 (1:00 PM) to Thursday, September 19, 2019 (5:00 PM)

Monday, September 16, 2019

1:00 PM

1:00 PM - 2:00 PM

2:00 PM

2:00 PM - 3:50 PM

3:50 PM Coffee Break
Coffee Break
3:50 PM - 4:10 PM

4:10 PM

4:10 PM - 6:00 PM
Tuesday, September 17, 2019

9:00 AM Welcome and info
Welcome and info
9:00 AM - 9:15 AM

9:15 AM

9:15 AM - 10:50 AM

10:50 AM Coffee Break
Coffee Break
10:50 AM - 11:10 AM

11:10 AM

11:10 AM - 1:00 PM

1:00 PM Lunch
Lunch
1:00 PM - 2:20 PM

2:20 PM

2:20 PM - 4:00 PM

4:00 PM Coffee Break
Coffee Break
4:00 PM - 4:20 PM

4:20 PM Introduction to Deep Learning - tutorial & practice
Introduction to Deep Learning - tutorial & practice
4:20 PM - 6:00 PM
Wednesday, September 18, 2019

9:10 AM Data pre & post processing - Parameter Space exploration
Data pre & post processing - Parameter Space exploration
9:10 AM - 11:00 AM

11:00 AM Coffee Break
Coffee Break
11:00 AM - 11:20 AM

11:20 AM Data exploration - Tutorial & Practice
Data exploration - Tutorial & Practice
11:20 AM - 1:00 PM

1:00 PM Lunch
Lunch
1:00 PM - 2:20 PM
2:20 PM Data Science and Astrophysics - use case examples
Data Science and Astrophysics - use case examples
2:20 PM - 4:00 PM
Contributions

2:20 PM (A few) Deep-Learning applications in Gravitational Lensing - Massimo Meneghetti (Istituto Nazionale di Astrofisica (INAF))

2:45 PM Machine Learning as a Service - Application of Google Cloud Platform to Machine Learning problems - Marco Landoni (Istituto Nazionale di Astrofisica (INAF))

3:10 PM A Deep Learning approach for AGILE-GRID GRB Detection - Nicolo' Parmiggiani (Istituto Nazionale di Astrofisica (INAF))

3:35 PM Discussion
4:00 PM Coffee Break
Coffee Break
4:00 PM - 4:20 PM
4:20 PM Data Science and Astrophysics
Data Science and Astrophysics
4:20 PM - 6:05 PM
Contributions

4:20 PM Improving accuracy of Machine Learning algorithms with Feature Selection in the context of particle background discrimination for the AGILE telescope - Leonardo Baroncelli (Istituto Nazionale di Astrofisica (INAF))

4:45 PM Discovery of new QSOs by means of Canonical Correlation Analysis and photometric catalogs. - Giorgio Calderone (Istituto Nazionale di Astrofisica (INAF))

5:10 PM A real time approach targeted at buyer prediction, using behaviour classification in Tourism Web Analytics - Massimo Deriu (CRS4)

5:35 PM Discussion
Thursday, September 19, 2019
9:00 AM
9:00 AM - 11:00 AM
Contributions

9:00 AM IBM deep learning - Eleonora Picca (IBM)

10:00 AM Amazon Web Services - SageMaker platform - Federico d'Alessio (Amazon Web Services - Solution Architect)
11:00 AM Coffee Break
Coffee Break
11:00 AM - 11:20 AM
11:20 AM
11:20 AM - 12:20 PM
Contributions

11:20 AM Demystifying Deep Learning: A Practical Approach in MATLAB - Giuseppe Ridino (MathWorks)
12:20 PM General discussion, in-depth insights by the audience with respect to commercial service proposals, practical examples of use
General discussion, in-depth insights by the audience with respect to commercial service proposals, practical examples of use
12:20 PM - 1:20 PM

1:20 PM Lunch
Lunch
1:20 PM - 2:40 PM

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