Spain

ECAI 2020

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

virtual reality.

attention neural networks

group behavior recognition

graph neural networks

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.

technical paper

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)

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

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

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

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Next from ECAI 2020

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

Similar lecture

PushNet: Efficient and Adaptive Neural Message Passing

Downloads