Spain

ECAI 2020

Minimizing and recovering from the effect of concept drift via feature selection

concept drift

transfer learning

active learning

ICPR 2020 is the premier international conference on Pattern Recognition, gathering leading researchers from around the world to present their latest achievements in Pattern Analysis and Recognition, applied Artificial Intelligence and Machine Learning. The topic of the year is " Putting Artificial intelligence to work on Patterns". 
For the first time, ICPR has employed a two-round review process similar to journal submissions, with new papers allowed to be submitted in either the first or second round and papers submitted in the first round and not accepted allowed to be revised and re-submitted for second round review. 

In this edition of the **ICPR 2020** Conference, there are 1407 Oral/Poster presentations organized in five Tracks: 
- Artificial Intelligence, Machine Learning for Pattern Analysis; 
- Biometrics, Human Analysis and Behavior Understanding; Computer Vision, Robotics and Intelligent Systems; 
- Document and Media Analysis; and 
- Image and Signal Processing. 

The **ICPR 2020** Main Conference program also includes 7 Keynotes from prominent world-renowned scientists, 8 Tutorials, 28 Demos, 8 Challenges, 2 Panels, as well as an Industry/Sponsor Exhibition. In addition, 41 Workshops on a range of important current and emerging research topics complete the ICPR 2020 program. 


ICPR 2020

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.

A Two-Stream Network with Image-to-Class Deep Metric for Few-Shot Classification

Dual Rejection Sampling for Wasserstein Auto-Encoders

Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion

Feature importance estimation with self-attention networks

Online Learning to Accelerate Neural Network Inference with Traveling Classifiers

Topological Bayesian Optimization with Persistence Diagrams

Convolutional Dictionary Pair Learning Network for Image Representation Learning

A Conditional Perspective on Iterated Contraction

SAI: A Sensible Artificial Intelligence that plays Go

Measurable Counterfactual Local Explanations for Any Classifier

https://d3smihljt9218e.cloudfront.net/transcript/1155/subtitle/bcc78a448bd87e69fcce75be080ae1fe.vtt

English (automatic)

Minimizing and recovering from the effect of concept drift via feature selection

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A Two-Stream Network with Image-to-Class Deep Metric for Few-Shot Classification

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Minimizing and recovering from the effect of concept drift via feature selection

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Next from ECAI 2020

A Two-Stream Network with Image-to-Class Deep Metric for Few-Shot Classification

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Minority Class Oriented Active Learning for Imbalanced Datasets

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