Spain

ECAI 2020

From Public Announcements to Asynchronous Announcements

epistemic logic

public announcements

asynchronicity

AAMAS is the largest and most influential conference in the area of agents and multiagent systems, bringing together researchers and practitioners in all areas of agent technology and providing and internationally renowned high-profile forum for publishing and finding out about the latest developments in the field. AAMAS is the flagship conference of the non-profit International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).  

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AAMAS 2021

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.

Quantitative Stream Reasoning with Weighted LARS

Algorithms for Dynamic Argumentation Frameworks: An Incremental SAT-Based Approach

An Advance on Variable Elimination with Applications to Tensor-Based Computation

Data-Empowered Argumentation (DEAr) for  Dialectically Explainable Predictions

Modelling Belief-Revision Functions at Extended Languages

Randomized Kernel Multi-view Discriminant Analysis

Refinement of Unsupervised Cross-Lingual Word Embeddings

Regret-Based Elicitation for Solving Multi-Objective Knapsack Problems with Rank-Dependent Aggregators

Learning Kernel-based Embeddings in Graph Neural Networks

Multimodal Transfer Learning-based Approaches for Retinal Vascular Segmentation

https://d3smihljt9218e.cloudfront.net/transcript/1236/subtitle/ead6e6039c0b8e603971d3bcdcd5c01c.vtt

English (automatic)

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Quantitative Stream Reasoning with Weighted LARS

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Quantitative Stream Reasoning with Weighted LARS

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