Spain

ECAI 2020

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

tensor graphs

model-based supervised learning

variable elimination

The purpose of the AAAI conference series is to promote research in Artificial Intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers across the entirety of AI and its affiliated disciplines. AAAI-23 is the Thirty-Seventh AAAI Conference on Artificial Intelligence. The theme of this conference is to create collaborative bridges within and beyond AI. Like previous AAAI conferences, AAAI-23 will feature technical paper presentations, special tracks, invited speakers, workshops, tutorials, poster sessions, senior member presentations, competitions, and exhibit programs, and two new activities: a Bridge Program and a Lab Program. Many of these activities are tailored to the theme of bridges and all are selected according to the highest standards, with additional programs for students and young researchers. 
AAAI is providing you with a conference planner, which you can use to help organize your itinerary of activities. This includes talks to attend in person, talks to attend remotely, breaks with colleagues and your site seeing activities. To access this conference planner, please go to [https://aaai-2023.takemobi.io](https://aaai-2023.takemobi.io).

In order to access this site, you need to register. If you haven't already, please register [here](https://aaai.org/Conferences/AAAI-23/registration/).


AAAI 2023

The purpose of the AAAI conference series is to promote research in Artificial Intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers across the entirety of AI and its affiliated disciplines.

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.

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

Dynamic Epistemic Logic Games with Epistemic Temporal Goals

New measures of inclusion between fuzzy sets in terms of the φ-index of inclusion

Representing and Reducing Uncertainty for Enumerating the Belief Space to Improve Endgame Play in Skat

https://d3smihljt9218e.cloudfront.net/transcript/1239/subtitle/9e58fcb6b378d29f61ec8778a3c1d64f.vtt

English (automatic)

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Data-Empowered Argumentation (DEAr) for Dialectically Explainable Predictions

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LoNe Sampler: Graph node embeddings by coordinated local neighborhood sampling

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Next from ECAI 2020

Data-Empowered Argumentation (DEAr) for Dialectically Explainable Predictions

Similar lecture

LoNe Sampler: Graph node embeddings by coordinated local neighborhood sampling

Downloads