Spain

ECAI 2020

Group Behavior Recognition Using Attention- and Graph-Based Neural Networks

virtual reality.

attention neural networks

group behavior recognition

graph neural networks

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. 


ICPR 2020

technical paper

ECAI2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI, including:




**An extensive programme of workshops, tutorials, and invited speakers**

**The Prestigious Applications of Intelligent Systems conference (PAIS)**

**The Frontiers in AI track sessions**

**The Lab To Market event**

**The Women in AI time**

**The EU Challenges forum**

… and many more!

ECAI 2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI.

How Much Knowledge is in a Knowledge Base? Introducing Knowledge Measures (Preliminary Report)

Human Activity Recognition from Wearable Sensor Data Using Self-Attention

Learning Temporal Action Models via Constraint Programming

Finite and Con dent Teaching in Expectation: Sampling from In finite Concept Classes

A Shared-Word Sensitive Sequence-to-Sequence Features Extractor for Sentences Matching

A Convergent Off-Policy Temporal Difference Algorithm

BTDE: Block Term Decomposition Embedding for Link Prediction in Knowledge Graph

Personalized Automated Machine Learning

Towards Inconsistency Measurement for Business Rule Bases

RoI Feature Propagation for Video Object Detection

https://d3smihljt9218e.cloudfront.net/transcript/1085/subtitle/63bdfe0f727498c2298b87e47920faaa.vtt

English (automatic)

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How Much Knowledge is in a Knowledge Base? Introducing Knowledge Measures (Preliminary Report)

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The Next Generation Graph Neural Networks

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How Much Knowledge is in a Knowledge Base? Introducing Knowledge Measures (Preliminary Report)

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The Next Generation Graph Neural Networks

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