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ECAI 2020

Using Orders of Magnitude Reasoning to Aggregate and Compare News Reporting Sentiment

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!

The 15th Joint MMM-INTERMAG Conference (2022 Joint) is sponsored jointly by AIP Publishing and the IEEE Magnetics Society. Members of the international scientific and engineering communities interested in recent developments in fundamental and applied magnetism are invited to attend and contribute to the technical sessions. The technical program will include invited and contributed papers in oral and poster sessions, invited symposia, a plenary session, and an evening session, with about 1500 presentations overall. This Conference provides an outstanding opportunity for worldwide participants to meet their colleagues and collaborators and discuss developments in all areas of magnetism research.

The 2022 Joint Conference will offer both in-person and prerecorded on-demand content.

For tickets to the event, please register at the following link: https://magnetism.org/register

Please register for the Joint MMM-Intermag conference to join the event.

2022 Joint MMM-INTERMAG

technical paper

Graphical representation of quantitative datasets for medical visualisation

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

Using Orders of Magnitude Reasoning to Aggregate and Compare News Reporting Sentiment

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Graphical representation of quantitative datasets for medical visualisation

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