Italy

ICPR 2020

Machine learning for risk analysis of Urinary Tract Infection in people with dementia

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urinary tract infection

machine learning

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. 


demo

Cross-modal, Cross-domain Biometric Systems

Children’s Online Arabic Handwriting Quality Evaluation & Analysis

TimeAtlas - a Time Series Data Manipulation Tool for Python

Structured Sparsity on Embedded Devices

XPlainIT - A demonstrator for explaining deep learning models trained over structured data

From Tinkering to Engineering: Measurements in Tensorflow Playground

Two Demonstrations of the Machine Translation Applications to Historical Documents

Data Collection for Contextual and Visual Question Answering in the Cultural Heritage Domain

Creating automatic storytelling videos from still images: a semantically-aware approach

Lung nodules segmentation in CT scans by DeepHealth toolkit

https://d3smihljt9218e.cloudfront.net/transcript/9537/subtitle/438e05c8f065ea9bba9dee46a9a28e9f.vtt

English (automatic)

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Machine learning for risk analysis of Urinary Tract Infection in people with dementia

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