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Twitter dataset during COVID-19 pandemic
IDs of tweets collected from Twitter spanning across 7 years, from 2016-03-01 to 2022-03-01. The tweets are used to derive interactions between users and, therefore, their... -
Private Radio Link Performance Evaluation - NLoS scenario with Mobile Network Operato...
This dataset captures, using Nemo Outdoor software, data related to the radio link performance in an infrastructure with antennas provided by a mobile network operator... -
Private Radio Link Performance Evaluation - NLoS scenario with Amarisoft base station
This dataset captures, using Nemo Outdoor software, data related to the radio link performance in two different infrastructures: a 5G Amarisoft base station and antennas... -
Private Radio Link Performance Evaluation - LoS scenario with Mobile Network Operator...
This dataset captures, using Nemo Outdoor software, data related to the radio link performance in an infrastructure with antennas provided by a mobile network operator... -
Private Radio Link Performance Evaluation - LoS scenario with Amarisoft base station
This dataset captures, using Nemo Outdoor software, data related to the radio link performance in two different infrastructures: a 5G Amarisoft base station and antennas... -
Private Network Performance and Power Consumption - User Space UPF Implementation
This dataset captures the energy and performance profiles of an user-space User Plane Function (UPF) OpenAirInterface implementation, within a 5G Core network. The primary... -
Private Network Performance and Power Consumption - DPDK-based UPF Implementation
This dataset captures the energy and performance profiles of a User Plane Function (UPF) implementations within a 5G Core network with a DPDK-based UPF deployed using the... -
ErNESTO-gym
Standardized micro-grid environment for reinforcement learning experiments employing real-world datasets regarding energy consumption, generation, and market.-
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CPG: Constrained Policy Gradient
CPG is a reinforcement learning algorithm thought for solving continuous control problems with user defined or structural constraints. CPG has two versions, C-PGPE and C-PGAE,... -
Best Arm Identification for Stochastic Rising Bandits
We propose two algorithms, R-UCBE and R-SR, performing best arm identification in the stochastic rising bandit setting, thought for modeling the combined algorithm selection... -
EnviroStream
This repository contains datasets, queries and a generator for the EnviroStream, a benchmark for Stream Reasoning (SR) systems. SR focuses on applying inference to dynamic... -
Private DNAtools
Differential network analysis (DINA) is dedicatedto exploring these rewirings within gene and protein networks. The dataset contain Differential networks generated by using... -
neXSim
neXSim is a web-based prototype system implementing "implementing a logic based framework for characterising nexus of similarity within knowledge bases", namely expressing in... -
Low Carbon Technologies Comparative Advantage Dataset
The Green Comparative Advantage dataset (GreenCA)contains information about the comparative advantage in exporting low carbon technologies, that is to say, technologies having... -
Artificial Graph Dataset Generator
This Python package generates synthetic graphs with a fixed graph edit distance. The generated datasets can be used to robustly train deep learning algorithms to compute the... -
Synchronization is All You Need - Exocentric-to-Egocentric Transfer for Tempo...
We consider the problem of transferring a temporal action segmentation system initially designed for exocentric (fixed) cameras to an egocentric scenario, where wearable... -
PREGO: Online mistake detection in PRocedural EGOcentric videos
Promptly identifying procedural errors from egocentric videos in an online setting is highly challenging and valuable for detecting mistakes as soon as they happen. This... -
EgoISM-HOI - Exploiting Multimodal Synthetic Data for Egocentric Human-Object...
We tackle the problem of Egocentric Human-Object Interaction (EHOI) detection in an industrial domain. To overcome the lack of public datasets in this context, we propose a... -
Ego-Exo4D: Understanding Skilled Human Activity from First
We present Ego-Exo4D, a diverse, large-scale multimodal multiview video dataset and benchmark challenge. Ego-Exo4D centers around simultaneously-captured egocentric and... -
EASG - Action Scene Graphs for Long-Form Understanding of Egocentric Videos
We present Egocentric Action Scene Graphs (EASGs), a new representation for long-form understanding of egocentric videos. EASGs extend standard manually-annotated...
