GIACOMO BORACCHI - TEACHING & THESIS OPPORTUNITIES
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Thesis & Stage Opportunities in our Team: List and Description; Drop me an email if you want to hear about these or latest opportunities!
AY 2025/2026 Courses Artificial Neural Networks and Deep Learning (AN2DL, MSc fall semester) Milano Leonardo Slides and Materials, Calendar and Video Recordings Image Analysis and Computer Vision (IACV, MSc) Milano Leonardo, Prof. Vincenzo Caglioti, fall semester, Slides and Materials Informatica A, (Laurea Triennale Ing. Matematica) , Milano Leonardo, Prof. Magri and Prof. Boracchi, fall semester, Materiali Calendario Mathematical Models And Methods For Image Processing (MMMIP, MSc spring semester) Milano Leonardo, Slides and Materials Advanced Deep Learning (ADL, Prof. Matteucci and Prof. Boracchi MSc spring semester) Milano Leonardo
Past PhD Courses Advanced Deep Learning Models And Methods For 3D Spatial Data (Milano, PhD Course organized by Matteo Matteucci and Giacomo Boracchi) Materials Scheda Corso Online Learning and Monitoring (Milano, PhD Course by Giacomo Boracchi and Franceco Trovo') Materials Learning Sparse Representation for Image And Signal Modeling (Milano Leonardo, PhD course) Materials Advanced Deep Learning Models And Methods: The Rise of Transformers (Milano, PhD Course organized by Matteo Matteucci and Giacomo Boracchi) Materials Machine Learning For Non-Matrix Data (Lecco, PhD course with guest speakers) Materiali Advanced Deep Learning Models And Methods (Milano, PhD Course organized by Giacomo Boracchi and Matteo Matteucci) Materials Short Course on Learning Sparse Representation for Image And Signal Modeling (Tampere University, PhD course) Materials Advances In Deep Learning With Applications In Text And Image Processing, PhD course organized with Matteo Matteucci (DEIB) and Alessandro Giusti (IDSIA, Lugano) in Polimi Milano Leonardo, February - March 2019. Materials, Detailed Program Image Classification: Modern Approaches (Milano Leonardo, PhD course, February 2018) Materiali Past MSc/BSc Courses Computer Vision and Pattern Recognition (USI Lugano, MSc course) Materiali Informatica A (fino all'anno accademico 2024-2025) (Milano Leonardo), Ingegneria Matematica: Materiali Calendario con le registrazioni Informatica B (Milano Bovisa, MSc course): Materiali Informatica (ICMR Lecco, BSc course) Materiali
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