
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

Data Storytelling and Big Data value chain in Natural Disaster Management
This lecture explores the concepts of Data Storytelling and the Big Data value chain in the context of Natural Disaster Management.

ToDY: Time of Day/Year: Dataset for visual time of day and season classification
The dataset provides training and valiation data for classifying images by time of day and season (time of year). The images are taken from the Skyfinder dataset, containing webcam images along with timestamps and geolocation.

VISIONE Feature Repository for VBS: Multi-Modal Features and Detected Objects from MVK Dataset
This repository contains a diverse set of features extracted from the marine video (underwater) dataset (MVK) .

A deep learning-based dataset of WFA-positive perineuronal nets and parvalbumin neurons localizations in the adult mouse brain
This dataset contains high-resolution images for the visualization of perineuronal nets (PNNs) and parvalbumin-expressing (PV) cells. The dataset contains microscopy images of coronal brain slices from 7 adult mice.

UCI and OpenML Data Sets for Ordinal Quantification
These four labeled data sets are targeted at ordinal quantification. The goal of quantification is not to predict the label of each individual instance, but the distribution of labels in unlabeled sets of data.