Spain

ECAI 2020

Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description

graph representation learning

community detection

outlier detection

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

Necessary and Sufficient Conditions for Actual Root Causes

Multiwinner Rules with Variable Number of Winners

Relational Neural Machines

On the Reasons Behind Decisions

Complexity of Problems of Possible and Necessary Existence in Abstract Argumentation

MedGraph: Structural and Temporal Representation Learning of Electronic Medical Records

Robust Deep Subspace Discovery by a Multilayer Collaborative Low-Rank Coding Network

Hope Speech Detection: A Computational Analysis of the Voice of Peace

Classification Rules in Relaxed Logical Form

Learning Fairness-aware   Relational Structures

https://d3smihljt9218e.cloudfront.net/transcript/1201/subtitle/bb2a0c2b576641cbf1edb12fc68b390b.vtt

English (automatic)

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Necessary and Sufficient Conditions for Actual Root Causes

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A Framework for Determining the Fairness of Outlier Detection

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Next from ECAI 2020

Necessary and Sufficient Conditions for Actual Root Causes

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A Framework for Determining the Fairness of Outlier Detection

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