Spain

ECAI 2020

Learning Kernel-based Embeddings in Graph Neural Networks

transfer/adaptation/multi-task learning

kernel methods

graph neural networks

deep learning

The purpose of the AAAI conference is to promote research in artificial intelligence (AI) and scientific exchange among AI researchers, practitioners, scientists, and engineers in affiliated disciplines. 

AAAI 2022

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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Next from ECAI 2020

Multimodal Transfer Learning-based Approaches for Retinal Vascular Segmentation

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Fast Graph Neural Tangent Kernel via Kronecker Sketching

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Next from ECAI 2020

Multimodal Transfer Learning-based Approaches for Retinal Vascular Segmentation

Similar lecture

Fast Graph Neural Tangent Kernel via Kronecker Sketching

Downloads