Thesis & Stage Opportunities related Deep Learning, Computer Vision and Datastream Monitoring

Thesis Opportunities Description;

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Artificial Neural Networks and Deep Learning (AN2DL) (Milano Leonardo) Slides and Materials, Calendar and Video Recordings

Mathematical Models And Methods For Image Processing (MMMIP) (Milano Leonardo), Materials

Informatica A (Milano Leonardo), Ingegneria Matematica: Materiali Calendario

Image Analysis and Computer Vision (IACV) (Milano Leonardo, Prof. Vincenzo Caglioti) Materiali

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

Computer Vision and Pattern Recognition (USI Lugano, MSc course) Materiali

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

Informatica (ICMR Lecco, MSc course) Materiali Calendario

Informatica B (Milano Bovisa, MSc course): Materiali Calendario