Italy

ICPR 2020

MAES - Machine Learning Advances Environmental Science

ICPR 2020 is the premier international conference on Pattern Recognition, gathering leading researchers from around the world to present their latest achievements in Pattern Analysis and Recognition, applied Artificial Intelligence and Machine Learning. The topic of the year is " Putting Artificial intelligence to work on Patterns". 
For the first time, ICPR has employed a two-round review process similar to journal submissions, with new papers allowed to be submitted in either the first or second round and papers submitted in the first round and not accepted allowed to be revised and re-submitted for second round review. 

In this edition of the **ICPR 2020** Conference, there are 1407 Oral/Poster presentations organized in five Tracks: 
- Artificial Intelligence, Machine Learning for Pattern Analysis; 
- Biometrics, Human Analysis and Behavior Understanding; Computer Vision, Robotics and Intelligent Systems; 
- Document and Media Analysis; and 
- Image and Signal Processing. 

The **ICPR 2020** Main Conference program also includes 7 Keynotes from prominent world-renowned scientists, 8 Tutorials, 28 Demos, 8 Challenges, 2 Panels, as well as an Industry/Sponsor Exhibition. In addition, 41 Workshops on a range of important current and emerging research topics complete the ICPR 2020 program. 


technical paper

ETTAC 2020 - Workshop on Eye Tracking Techniques, Applications and Challenges

PRAConBE - Pattern Recognition and Automation in Construction & the Built Environment

AIDP - Artificial Intelligence for Digital Pathology

CARE2020 - International Workshop on pattern recognition for positive teChnology And eldeRly wEllbeing

PaMMO - Perception and Modelling for Manipulation of Objects

W4PR - Women at ICPR

PATRECH2020 - II International Workshop on Pattern Recognition for Cultural Heritage

CADL2020 - Workshop on Computational Aspects of Deep Learning

EDL-AI - Explainable Deep Learning/AI

Joint IADS and IWCR 2020 Workshop

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MAES - Machine Learning Advances Environmental Science

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