Spain

ECAI 2020

Graphical representation of quantitative datasets for medical visualisation

The purpose of the AAAI conference series is to promote research in Artificial Intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers across the entirety of AI and its affiliated disciplines. AAAI-23 is the Thirty-Seventh AAAI Conference on Artificial Intelligence. The theme of this conference is to create collaborative bridges within and beyond AI. Like previous AAAI conferences, AAAI-23 will feature technical paper presentations, special tracks, invited speakers, workshops, tutorials, poster sessions, senior member presentations, competitions, and exhibit programs, and two new activities: a Bridge Program and a Lab Program. Many of these activities are tailored to the theme of bridges and all are selected according to the highest standards, with additional programs for students and young researchers. 
AAAI is providing you with a conference planner, which you can use to help organize your itinerary of activities. This includes talks to attend in person, talks to attend remotely, breaks with colleagues and your site seeing activities. To access this conference planner, please go to [https://aaai-2023.takemobi.io](https://aaai-2023.takemobi.io).

In order to access this site, you need to register. If you haven't already, please register [here](https://aaai.org/Conferences/AAAI-23/registration/).


AAAI 2023

The purpose of the AAAI conference series is to promote research in Artificial Intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers across the entirety of AI and its affiliated disciplines.

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!

Depth-informed Qualitative Spatial Representations for Object Affordance Prediction

Color Perception: A Comparison between Computer and Human Color Labelling

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

https://d3smihljt9218e.cloudfront.net/transcript/1505/subtitle/ab0bf846f88b7e5b092e7403e61be8df.vtt

English (automatic)

Graphical representation of quantitative datasets for medical visualisation

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Depth-informed Qualitative Spatial Representations for Object Affordance Prediction

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Fuzzy C-means: Differences on Clustering Behavior between High Dimensional and Functional Data (Student Abstract)

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Graphical representation of quantitative datasets for medical visualisation

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Next from ECAI 2020

Depth-informed Qualitative Spatial Representations for Object Affordance Prediction

Similar lecture

Fuzzy C-means: Differences on Clustering Behavior between High Dimensional and Functional Data (Student Abstract)

Stay up to date with the latest Underline news!

PRESENTATIONS

CONFERENCES

COMPANY

RESOURCES

Downloads