Spain

ECAI 2020

Prioritized Simple Contrapositive Assumption-Based Frameworks

non-monotonic logic

logic-based argumentation

structured argumentation

computational models of argumentation

preferences

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

ET-GAN: Cross-Language Emotion Transfer Based on Cycle-Consistent Generative Adversarial Networks

Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy

Search for Better Students to Learn Distilled Knowledge

Learning to continually learn

Behavior based Dynamic Summarization on Product Aspects via Reinforcement Neighbour Selection

From Public Announcements to Asynchronous Announcements

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

https://d3smihljt9218e.cloudfront.net/transcript/1229/subtitle/b079cc3136cef8a9deef27d804be13ba.vtt

English (automatic)

Downloads

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ET-GAN: Cross-Language Emotion Transfer Based on Cycle-Consistent Generative Adversarial Networks

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Generating Instantiated Argument Graphs from Probabilistic Information

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Next from ECAI 2020

ET-GAN: Cross-Language Emotion Transfer Based on Cycle-Consistent Generative Adversarial Networks

Similar lecture

Generating Instantiated Argument Graphs from Probabilistic Information

Downloads