GIACOMO BORACCHI - TEACHING & THESIS OPPORTUNITIES
 


 

Thesis & Stage Opportunities

Thesis related to Image Analysis & Processing, Machine Learning for Health, Change Detection (Slides updated on November 2021);

Research stage opportunities (and thesis in collaboration with companies) are at the end of the above slides

Drop me an email if you want to hear about these or latest opportunities!


 

AY 2021/2022 MSc Courses

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), Materiali

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

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


 

AY 2021/2022 PhD Courses

Online Learning and Monitoring (Milano, PhD Course with Franceco Trovo') Materiali

Advanced Deep Learning Models And Methods (Milano, PhD Course organized with Matteo Matteucci)


 

Past Courses

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

Machine Learning For Non-Matrix Data (Lecco, PhD course with guest speakers) Materiali

Learning Sparse Representation for Image And Signal Modeling (Milano Leonardo, PhD course) 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