Spain

ECAI 2020

New randomized strategies for the color coding algorithm

elementary path

color coding

randomized algorithm

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AAPT SM 21

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.

MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs

Outside-the-Box: Abstraction-Based Monitoring of Neural Networks

Span-based Joint Entity and Relation Extraction with Transformer Pre-training

Modeling the Incongruity between Sentence  Snippets for Sarcasm Detection

Dynamics in Abstract Argumentation Frameworks with Recursive Attack and Support Relations

Analysis of reduced costs filtering for alldifferent and minimum weight alldifferent global constraints

Automatic Generation of Typicality Measures for Spatial Language in Grounded Settings

Speeding Up CDCL Inference With Duplicate Learnt Clauses

PushNet: Efficient and Adaptive Neural Message Passing

Point Cloud Segmentation with Deep Reinforcement Learning

https://d3smihljt9218e.cloudfront.net/transcript/1122/subtitle/9fcac11d936afb26cf4871d56d098ed7.vtt

English (automatic)

Downloads

Next from ECAI 2020

MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs

Similar lecture

Color-coding and student perceptions of learning in introductory mechanics

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Next from ECAI 2020

MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs

Similar lecture

Color-coding and student perceptions of learning in introductory mechanics

Downloads