Displaying 33 resources
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Should we fear the robot revolution? (The correct answer is yes)

Advances in artificial intelligence and robotics may be leading to a new industrial revolution. This paper presents a model with the minimum necessary features to analyze the implications for inequality and output.
Category
Understanding of the fundamental rights and values
Target audience
ADR Experts and Associations, Individual Citizens/Members of the Society, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e
Software resources Software resources

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.
Category
Data sharing and Data spaces
Target audience
ADR Experts and Associations, Researchers and Academic
Source
Adra-e
Software resources Software resources

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) .
Category
Data sharing and Data spaces
Target audience
ADR Experts and Associations, Researchers and Academic
Source
Adra-e
Software resources Software resources

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.
Category
Data sharing and Data spaces
Target audience
ADR Experts and Associations, Researchers and Academic
Source
Adra-e
Software resources Software resources

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.
Category
Data sharing and Data spaces
Target audience
ADR Experts and Associations, Researchers and Academic
Source
Adra-e
Software resources Software resources

Twitter Discussions Topics dataset

Dataset of tweet IDs and timestamps in CSV format, organized by COVID-19-related discussion topics they belong to.
Category
Data sharing and Data spaces
Target audience
ADR Experts and Associations, Researchers and Academic
Source
Adra-e