Name: Fourth ML-INFN Hackathon: Starting Level
Start: 2023-06-21T09:00:00+02:00
End: 2023-06-23T18:00:00+02:00
Location: Zoom

Fourth ML-INFN Hackathon: Starting Level

from Wednesday 21 June 2023 (09:00) to Friday 23 June 2023 (18:00)

Monday 19 June 2023
Tuesday 20 June 2023
Wednesday 21 June 2023
09:00 Introduction and logistics - Lucio Anderlini (Istituto Nazionale di Fisica Nucleare)
Introduction and logistics
- Lucio Anderlini (Istituto Nazionale di Fisica Nucleare)
09:00 - 09:20
Room: http://cern.ch/go/pk7C
09:20 General Introduction to Machine Learning
General Introduction to Machine Learning
09:20 - 11:15
Room: http://cern.ch/go/pk7C
Contributions

09:20 What is Machine Learning and why it is relevant for research? - Luca Scrucca (University of Perugia, Department of Economics)

10:10 Neural Networks: principles and common architectures - Stefano Giagu (ROMA1)
11:15 Break
Break
11:15 - 11:30
Room: http://cern.ch/go/pk7C
11:30 INFN Cloud for ML-INFN
INFN Cloud for ML-INFN
11:30 - 12:30
Room: http://cern.ch/go/pk7C
Contributions

11:30 INFN-Cloud, and how to use it for ML_INFN - Daniele Spiga (PG)
12:30 Lunch break
Lunch break
12:30 - 13:45
Room: http://cern.ch/go/pk7C
13:45 Getting started with python and numpy (+ ...) on the cloud infrastructure
Getting started with python and numpy (+ ...) on the cloud infrastructure
13:45 - 16:15
Room: http://cern.ch/go/pk7C
Contributions

13:45 Hands-on - Playing with CERN Open Data with numpy, pandas and pyplot - Lucio Anderlini (FI)

15:00 Introduction to keras - Andrea Rizzi (INFN Pisa) Andrea Rizzi (PI)

15:30 Hands-on - Introduction to keras - Andrea Rizzi (PI) Andrea Rizzi (INFN Pisa)
Thursday 22 June 2023
09:00 Machine Learning Applications for Gravitational Wave science - Elena Cuoco (Istituto Nazionale di Fisica Nucleare)
Machine Learning Applications for Gravitational Wave science
- Elena Cuoco (Istituto Nazionale di Fisica Nucleare)
09:00 - 09:40
Room: http://cern.ch/go/pk7C
09:40 ML Basics: hands-on on a simple categorization example in HEP - Lucio Anderlini (FI)
ML Basics: hands-on on a simple categorization example in HEP
- Lucio Anderlini (FI)
09:40 - 10:15
Room: http://cern.ch/go/pk7C
10:15 Coffee break
Coffee break
10:15 - 10:30
Room: http://cern.ch/go/pk7C

10:30 Convolutional Neural Networks
Convolutional Neural Networks
10:30 - 11:30
Room: http://cern.ch/go/pk7C
11:30 Real applications of ML in INFN activities - Image Restoration in heritage - Alessandro Bombini (FI)
Real applications of ML in INFN activities - Image Restoration in heritage
- Alessandro Bombini (FI)
11:30 - 12:30
Room: http://cern.ch/go/pk7C
12:30 Machine Learning Applications for Medical Physics - Piernicola Oliva (University of Sassari and INFN Cagliari)
Machine Learning Applications for Medical Physics
- Piernicola Oliva (University of Sassari and INFN Cagliari)
12:30 - 13:10
Room: http://cern.ch/go/pk7C
13:10 Lunch break
Lunch break
13:10 - 14:20
Room: http://cern.ch/go/pk7C

14:20 Continuation and finalization of hands on
Continuation and finalization of hands on
14:20 - 16:20
Room: http://cern.ch/go/pk7C
Friday 23 June 2023
09:00 Description of the exercises
Description of the exercises
09:00 - 09:40
Room: http://cern.ch/go/pk7C
Contributions

09:00 Discrimination of hadronic jets from light and heavy flavours @ LHC - Matteo Malucchi (INFN Pisa)

09:10 Signal/background discrimination for the VBF Higgs four lepton decay channel with the CMS experiment - Walaa Elmetenawee (Istituto Nazionale di Fisica Nucleare)

09:20 Autoencoders for VIRGO GW signal analysis - Lucia Papalini (Istituto Nazionale di Fisica Nucleare) Michele Vacatello (Istituto Nazionale di Fisica Nucleare)

09:30 Classification of lesions in medical physics - Francesca Lizzi (Istituto Nazionale di Fisica Nucleare)
09:40 Hackathon
Hackathon
09:40 - 13:00
Room: http://cern.ch/go/pk7C
Contributions

09:40 Selecting Higgs Canidates with Deep Neural Networks - Brunella D'Anzi (INFN - Bari) Giorgia Miniello (Istituto Nazionale di Fisica Nucleare) Nicola De Filippis (BA) Walaa Elmetenawee (Istituto Nazionale di Fisica Nucleare)

09:40 Classification of lesions in medical physics - Alessandra Retico (Istituto Nazionale di Fisica Nucleare) Andrea Berti (Istituto Nazionale di Fisica Nucleare) Camilla Scapicchio (Istituto Nazionale di Fisica Nucleare) Francesca Brero (Istituto Nazionale di Fisica Nucleare) Ian Postuma (Istituto Nazionale di Fisica Nucleare) Lorenzo Marini (Istituto Nazionale di Fisica Nucleare) Raffaella Cabini (Istituto Nazionale di Fisica Nucleare) Sara Saponaro (Istituto Nazionale di Fisica Nucleare)

09:40 Processing Gravitational Waves with Machine Learning - Luca Rei (Istituto Nazionale di Fisica Nucleare) Lucia Papalini (Istituto Nazionale di Fisica Nucleare) Marco Serra (Istituto Nazionale di Fisica Nucleare) Massimiliano Razzano (University of Pisa and INFN-Pisa) Michele Vacatello (Istituto Nazionale di Fisica Nucleare)

09:40 b-Tagging at CMS with Recurrent Neural Networks - Andrea Rizzi (INFN Pisa) Andrea Rizzi (Istituto Nazionale di Fisica Nucleare) Francesco Vaselli (INFN Pisa) Matteo Malucchi (INFN Pisa)
13:00 Lunch break
Lunch break
13:00 - 14:30
Room: http://cern.ch/go/pk7C

14:30 Discussion on exercises
Discussion on exercises
14:30 - 16:30
Room: http://cern.ch/go/pk7C

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