White paper
Holistic framework for AI in critical network infrastructures
This document establishes the main foundations of the AI4REALNET project, in particular, the following key outcomes: - The formal specification of domain-specific use cases (UCs), replicating real-world operating scenarios involving human operator
Case studies
White paper
Socially Informed ML Practices
A series of three posts on “Is data fixable? On the need of socially-informed practices in ML research and education”.
Case studies
White paper
The Ordinal Nature of Affect: An Emerging Approach
Computational representation of everyday emotional states is a challenging task and, arguably, one of the most fundamental for affective computing.
Case studies
White paper
Experience Driven Content Generation
Procedural content generation (PCG) is an increasingly important area of technology within modern human-computer interaction (HCI) design.
Case studies
White paper
Algorithms for manifold learning
The technical report presents popular methods for mapping data into a low-dimensional manifold (nonlinear dimensionality reduction).
Case studies
White paper
Geometric data analysis based on manifold learning with applications for image understanding
The conference paper gives in the first section a brief and easy understandable introduction into the basics of Riemannian geometry.