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ECAI 2020

Color Perception: A Comparison between Computer and Human Color Labelling

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!

**BRACIS** originated from the combination of the two most important scientific events in Brazil in Artificial Intelligence (AI) and Computational Intelligence (CI): the Brazilian Symposium on Artificial Intelligence – **SBIA** (22 editions), and the Brazilian Symposium on Neural Networks – **SBRN** (13 editions). **ENIAC** is a national forum for researchers, practitioners, educators and students to present and discuss innovations, trends, experiences, developments and work in progress in the fields of Artificial and Computational Intelligence. **STIL** is the bi-annual Language Technology event.
All events are supported by the Brazilian Computer Society – Special Interest Groups: **CE-IA**, **CE-IC** and **CE-PLN**.

To access the 10th Brazilian Conference on Intelligent Systems (**BRACIS**), you need to register for the conference.  Please visit the Conference official site to register

[Register now](http://c4ai.inova.usp.br/bracis2021/)

Register now

BRACIS 2021

Organized by C4AI, the 10th Brazilian Conference on Intelligent Systems (BRACIS) will take place from November 29th to December 3rd, 2021.

technical paper

An Associative Memory Network for Memorization and Traversal of Multi-Output Pattern Associations

Robust Multi-Output Learning with Highly Incomplete Data via Restricted Boltzmann Machines

Goal-constrained planning domain model verification of safety properties​

Towards a Human-Centred Cognitive Model of Visuospatial Complexity in Everyday Driving

The art painting style Classifier based on Logic Aggregators and qualitative colour Descriptors (C-LAD)

Robust Decision Tree Inductuion from Unreliable Data Sources

Cost-Based Budget Active Learning for Deep Learning

Towards Multi-Robot Task-Motion Planning for Navigation in Belief Space

Towards Traceability of Decision-making in Intelligent Context-based Adaptive System Environments

Stability in Minimization-Based Altruistic Hedonic Games

Color Perception: A Comparison between Computer and Human Color Labelling

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An Associative Memory Network for Memorization and Traversal of Multi-Output Pattern Associations

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