Spain

ECAI 2020

Coulomb Autoencoders

maximum-mean discrepancy

autoencoders

deep generative models

generalization

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

A Knowledge-based System for the Dynamic Generation and Classification of Novel Contents in Multimedia Broadcasting

SETNet : A Novel Semi-Supervised Approach for Semantic Parsing

A Knowledge-driven Approach to Explaining Black-box Models

Accounting for Observer’s Partial Observability in Stochastic Goal Recognition Design: Messing with the Marauder’s Map

Learning Conjunctive Information   of Signals in Multi-sensor Systems

Tree search for the Sequential Ordering Problem

Fully-Convolutional Intensive Feature Flow Neural Network for Text Recognition

Multi-Stage Transfer Learning with an Application to Selection Process

Improving Supervised Superpixel-Based Codebook Representations by Local Convolutional Features

Incorporating Semantic Dependencies Extracted from Knowledge Graphs into Joint Inference template-based Information Extraction

https://d3smihljt9218e.cloudfront.net/transcript/1178/subtitle/99c7354d3b861e2759ec23b10106b302.vtt

English (automatic)

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A Knowledge-based System for the Dynamic Generation and Classification of Novel Contents in Multimedia Broadcasting

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Learning a Latent Space of Style-Aware Symbolic Music Representations by Adversarial Autoencoders

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Next from ECAI 2020

A Knowledge-based System for the Dynamic Generation and Classification of Novel Contents in Multimedia Broadcasting

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Learning a Latent Space of Style-Aware Symbolic Music Representations by Adversarial Autoencoders

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