Biography

I am a Ph.D. student in the National Ph.D. in Artificial Intelligence led by the Polytechnic University of Turin and the University of Padua. My field of study is related to the applications of Machine Learning in the bio-physical and medical domains, such as Cardiac Magnetic Resonance Imaging and ECG. In addition, I also work on NLP-related projects related to QA and NER extraction from medical notes.

Formerly, I obtained a Bachelor’s Degree in Physics and a Master’s Degree in Physics of Data at the University of Padua.

My interests span all the different fields of Artificial Intelligence, from Computer Vision tasks to Natural Language Processing and Reinforcement Learning.

Interests
  • Artificial Intelligence
  • Big Data Computing
  • Basketball
Education

  • National PhD in Artificial Intelligence, Current

    Polytechnic University of Turin & University of Padua

  • MSc in Physics of Data, 2021

    University of Padua

  • BSc in Physics, 2018

    University of Padua

Publications

Campese Stefano, Federico Agostini, Pazzini Jacopo, Davide Pozza (2022). Beyond Transformers: fault type detection in maintenance tickets with Kernel Methods, Boost Decision Trees and Neural Networks. In 2022 International Joint Conference on Neural Networks (IJCNN).

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Federico Agostini, Campese Stefano, Riccardo Vianello, Pizzi Marco, Cipriani Alberto, Zanetti MArco (2022). A post processing pipeline to prepare raw data for machine learning algorithms in cardiac magnetic resonance imaging. In European Heart Journal - Cardiovascular Imaging.

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Campese Stefano, Federico Agostini, Riccardo Vianello, Pizzi Marco, Cipriani Alberto, Zanetti MArco (2022). Myocardial fibrosis detection using kernel methods: preliminary results from a cardiac magnetic resonance study. In European Heart Journal - Cardiovascular Imaging.

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Teaching

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