Spain

ECAI 2020

Committee Selection with Multimodal Preferences

multimodal preferences

committee selection

social choice

parameterized complexity

AAMAS is the leading scientific conference for research in autonomous agents and multi-agent systems. The AAMAS conference series was initiated in 2002 as the merging of three respected scientific meetings: the International Conference on Multi-Agent Systems (ICMAS), the International Workshop on Agent Theories, Architectures, and Languages (ATAL), and the International Conference on Autonomous Agents (AA). The aim of the joint conference is to provide a single, high-profile, internationally-respected archival forum for scientific research in the theory and practice of autonomous agents and multi-agent systems.

Browse keynotes, discussions, panels and over 300 presentations.


AAMAS 2020

AAMAS is the leading scientific conference for research in autonomous agents and multi-agent systems. The AAMAS conference series was initiated in 2002 as the merging of three respected scientific meetings: the International Conference on Multi-Agent Systems (ICMAS), the International Workshop on Agent Theories, Architectures, and Languages (ATAL), and the International Conference on Autonomous Agents (AA). 

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.

Consolidating Modal Knowledge Bases

Finding Quantum Critical Points with Neural-Network Quantum States

Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description

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

https://d3smihljt9218e.cloudfront.net/transcript/1199/subtitle/68286559868d08a47dbb586fd12a7f6c.vtt

English (automatic)

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Consolidating Modal Knowledge Bases

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Size-Relaxed Committee Selection under the Chamberlin-Courant Rule

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Next from ECAI 2020

Consolidating Modal Knowledge Bases

Similar lecture

Size-Relaxed Committee Selection under the Chamberlin-Courant Rule

Downloads