Spain

ECAI 2020

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

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

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

Towards deep learning reliable gender estimation from dental panoramic radiographs

Defining Argumentation Semantics under a Claim-centric View

Towards Human-Based Models of Behaviour in Social Robots: Exploring Age-Related Differences in the Processing of Gaze Cues in Human-Robot Interaction

A Machine Learning Approach to Boredom Detection using Smartphone's Sensors

https://d3smihljt9218e.cloudfront.net/transcript/1511/subtitle/1bab992c2264f9a15336c64b5db453dc.vtt

English (automatic)

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

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Next from ECAI 2020

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

Similar lecture

Driven by Commonsense: On the Role of Human-Centred Visual Explainability for Autonomous Vehicles

Stay up to date with the latest Underline news!

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COMPANY

RESOURCES

Downloads