Spain

ECAI 2020

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

collective attack

setaf

claim-augmented af

abstract argumentation

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

Family and Prejudice: A Behavioural Taxonomy of Machine Learning Techniques

Incentivize Diffusion with Fair Rewards

Dynamic Algorithm Configuration:Foundation of a New Meta-Algorithmic Framework

CDeepEx: Contrastive Deep Explanations

Variational Objectives for Markovian Dynamics with Backward Simulation;

Combination of Active Learning and Self-Paced Learning for Deep Answer Selection with Bayesian Neural Network

Fleet-Wide Policy Iteration using Gaussian Processes

Learning Normative Behaviors through Abstraction

A Formal Model of Affordances for Flexible Robotic Task Execution

Meta-Embedding as Auxiliary Task Regularization

https://d3smihljt9218e.cloudfront.net/transcript/1255/subtitle/e55d6a4af809f0182f9588db6cd33b0c.vtt

English (automatic)

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

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Family and Prejudice: A Behavioural Taxonomy of Machine Learning Techniques

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Explaining Non-Acceptability in Abstract Argumentation

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

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Next from ECAI 2020

Family and Prejudice: A Behavioural Taxonomy of Machine Learning Techniques

Similar lecture

Explaining Non-Acceptability in Abstract Argumentation

Downloads