FEDERICO SICILIANO

PhD Student

PhD program:: XXXVI
email: siciliano@diag.uniroma1.it





CURRENT POSITION
PhD student in Data Science
Sapienza University of Rome
2020 - CURRENT

WORK EXPERIENCE
Scholarship Contract for Research Activities
Sapienza, Dipartimento di Ingegneria Informatica, Automatica e Gestionale
05/2020 - 10/2020 - Rome, Italy
- Design of the Diabetology Project database and preparation of the experimentation platform for machine learning algorithms
- Analysis and implementation of adaptive planning systems

EDUCATION AND TRAINING
Master’s Degree in Data Science — E​QF Level 7
Sapienza University of Rome
09/2017 - 25/10/2019 - Rome, Italy
Degree fully taught in English
Graduation vote:​ 110 with honors / 110
Master thesis:
Title: Forecasting of SYM-H index using Recurrent and Convolutional Neural Networks: A neural network approach to the prediction of magnetospheric response to interplanetary magnetic field changes
Abstract: Extensive analysis of various types of neural networks (both Recurrent and Convolutional) and combination of hyper-parameters, in order to provide a warning in a useful time for geomagnetic storms. The neural network was capable of predicting the SYMH index at a distance of one hour with an accuracy of more than 90% (in terms of R2), exhibiting excellent behaviour especially in the storm phase.
Thesis advisor:​ Prof. Stefano Leonardi
External Advisor:​ Dr. Giuseppe Consolini (INAF - Italian National Institute of
Astrophysics)

Bachelor’s Degree in Management Statistics​ — E​QF Level 6
Sapienza University of Rome
09/2014 - 18/07/2017 - Rome, Italy
Graduation vote:​ 110 with honors / 110
Bachelor Thesis:
Title:​ Takenoko, a low-cost playtesting methodology
Abstract: Study of a board game (Takenoko), using online comments and reviews to focus attention on the problems already detected by players, and adoption of a particular method of play-testing: a software able to simulate the mechanics of the game in question and an Artificial Intelligence capable of playing it, thus realizing a greater number of simulations than can be achieved using real people and reducing (almost to zero) the cost of the procedure
Thesis advisor:​ Prof. Paolo Giulio Franciosa

PUBLICATIONS
- F. Siciliano, G. Consolini, R. Tozzi, M. Gentili, F. Giannattasio, P. De Michelis
2020
Forecasting SYM-H Index: A Comparison Between Long Short-Term Memory and Convolutional Neural Networks
Space Weather
doi: 10.1029/2020SW002589

LANGUAGE SKILLS
Mother tongue:​ Italian
Foreign languages:
English:
Cambridge ESOL Level 1 Certificate in ESOL International University of Cambridge, 03/2013
CEFR level: B2
Spanish:
Diploma de Español como lengua extranjera (Nivel inicial) Instituto Cervantes, 08/2008
CEFR level: B1

Research products

  • 11573/1689394 - 2023 - Integrating Item Relevance in Training Loss for Sequential Recommender Systems (04b Atto di convegno in volume)
    ANDREA BACCIU, FEDERICO SICILIANO, NICOLA TONELLOTTO, FABRIZIO SILVESTRI
  • 11573/1684331 - 2023 - A Data-Driven Approach to Refine Predictions of Differentiated Thyroid Cancer Outcomes: A Prospective Multicenter Study (01a Articolo in rivista)
    Giorgio GRANI, MICHELE GENTILI, FEDERICO SICILIANO, MARIA CHIARA ZATELLI, Marco CENTANNI, ARISTIDIS ANAGNOSTOPOULOS, Stefano LEONARDI, SEBASTIANO FILETTI, COSIMO DURANTE
  • 11573/1673523 - 2023 - Deep active learning for misinformation detection using geometric deep learning (01a Articolo in rivista)
    FEDERICO SICILIANO, CARLOS ALBERTO ALEJANDRO CASTILLO OCARANZA, Stefano LEONARDI, FABRIZIO SILVESTRI
  • 11573/1685080 - 2023 - Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels (04b Atto di convegno in volume)
    MARIA SOFIA BUCARELLI, FEDERICO SICILIANO, FABRIZIO SILVESTRI
  • 11573/1669807 - 2023 - The CAESAR Project for the ASI Space Weather Infrastructure (01a Articolo in rivista)
    monica LAURENZA, LORENZO BIASIOTTI, CRISTINA CAMPI, MORENO IGNAZIO COCO, Giancarlo DE GASPERIS, CLAUDIA DI GERONIMO, FABRIZIO FIORE, MARIA FLAVIA MARCUCCI, ALESSANDRO PERFETTI, STEFANO PERRI, GIANLUCA POLENTA, LUCIA SANTARELLI, FEDERICO SICILIANO, Maria Rita STUMPO, ROBERTA TOZZI
  • 11573/1656589 - 2022 - Comparing long short-term memory and convolutional neural networks in {SYM}-H index forecasting (04d Abstract in atti di convegno)
    FEDERICO SICILIANO
  • 11573/1657031 - 2022 - NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks (04b Atto di convegno in volume)
    FEDERICO SICILIANO, MARIA SOFIA BUCARELLI, Gabriele Tolomei, FABRIZIO SILVESTRI
  • 11573/1685502 - 2022 - FbMultiLingMisinfo: Challenging Large-Scale Multilingual Benchmark for Misinformation Detection (02a Capitolo o Articolo)
    FEDERICO SICILIANO, Stefano LEONARDI, FABRIZIO SILVESTRI
  • 11573/1669826 - 2022 - FbMultiLingMisinfo: Challenging Large-Scale Multilingual Benchmark for Misinformation Detection (04b Atto di convegno in volume)
    FEDERICO SICILIANO, CARLOS ALBERTO ALEJANDRO CASTILLO OCARANZA, Stefano LEONARDI, FABRIZIO SILVESTRI
  • 11573/1495477 - 2021 - Forecasting SYM-H Index: A Comparison Between LongShort-Term Memory and Convolutional Neural Networks (01a Articolo in rivista)
    FEDERICO SICILIANO, MICHELE GENTILI
  • 11573/1684888 - 2016 - Reconstruction of F-Region Electric Current Densities from more than 2 Years of Swarm Satellite Magnetic data (04d Abstract in atti di convegno)
    ROBERTA TOZZI, FEDERICO SICILIANO

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