Spain

ECAI 2020

Evolutionary Bi-objective Optimization for the Dynamic Chance-Constrained Knapsack Problem Based on Tail Bound Objectives

dynamic optimization

pareto

uncertainty

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

Basic Utility Theory for Belief Functions

Learning Contextualized Sentence Representations for Document-Level Neural Machine Translation

Mid-weight Image Super-Resolution with Bypass Connection Attention Network

Learning to Reuse Translations: Guiding Neural Machine Translation with Examples

Metric Learning for Ordered Labeled Trees with pq-grams

An Efficient Agreement Mechanism in CapsNets By Pairwise Product

Towards Efficient Discrete Integration via Adaptive Quantile Queries

Self-Attention-based Fully-Inception Networks for Continuous Sign Language Recognition

A Weighted GCN with Logical Adjacency Matrix for Relation Extraction

Negative-Aware Training: Be Aware of Negative Samples

https://d3smihljt9218e.cloudfront.net/transcript/1053/subtitle/a3a25f0656ad38721b7204059c3e6c83.vtt

English (automatic)

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Basic Utility Theory for Belief Functions

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Neural Networks in Evolutionary Dynamic Constraint Optimization: Computational Cost and Benefits

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Next from ECAI 2020

Basic Utility Theory for Belief Functions

Similar lecture

Neural Networks in Evolutionary Dynamic Constraint Optimization: Computational Cost and Benefits

Downloads