Spain

ECAI 2020

Learning Kernel-based Embeddings in Graph Neural Networks

transfer/adaptation/multi-task learning

kernel methods

graph neural networks

deep 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. 


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.

Multimodal Transfer Learning-based Approaches for Retinal Vascular Segmentation

Dynamic Epistemic Logic Games with Epistemic Temporal Goals

New measures of inclusion between fuzzy sets in terms of the φ-index of inclusion

Representing and Reducing Uncertainty for Enumerating the Belief Space to Improve Endgame Play in Skat

Ontology Focusing: Knowledge-enriched Databases on Demand

A Hash Learning Framework for Search-Oriented Knowledge Graph Embedding

Link Prediction by Analyzing Common Neighbors Based Subgraphs using Convolutional Neural Network

Many-Objective Problems Are Not Always Difficult for Pareto Dominance-Based Evolutionary Algorithms

Pruning CNN's with linear filter ensembles

On the Relation between Claim-augmented Argumentation Frameworks and Collective Attacks

https://d3smihljt9218e.cloudfront.net/transcript/1246/subtitle/21faab4b5c5607f743e88953cc6f3d04.vtt

English (automatic)

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Multimodal Transfer Learning-based Approaches for Retinal Vascular Segmentation

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Multimodal Transfer Learning-based Approaches for Retinal Vascular Segmentation

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The Next Generation Graph Neural Networks

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