The UWB RADAR dataset consists of time series data acquired from UWB RADAR deployed in a smart office room located in ICAR-CNR, for monitoring human activity detection. Raw...

The Multi-sensor dataset of environmental conditions in smart home consists of time series data acquired from sensors deployed in outdoor of a smart domestic room located in...

The Multi-sensor dataset of environmental conditions in smart office consists of time series data acquired from sensors deployed in smart office rooms located in ICAR-CNR, for...

The Multi-sensor dataset of environmental conditions in smart home consists of time series data acquired from sensors deployed in indoor of a smart domestic room located in...

The Multi-sensor dataset of environmental conditions in smart office consists of time series data acquired from sensors deployed in a smart office located in the ICAR CNR IoT...

https://github.com/HPAI-BSC/ephemerality Code for calculating the ephemerality metrics that can be used to estimate how "ephemeral" discussion topics are based on their...

We present the first learned index that supports predecessor, range queries and updates within provably efficient time and space bounds in the worst case. In the (static)...

This python library implements the discrimination discovery and prevention method proposed in the paper: “A methodology for direct and indirect discrimination prevention in...

GSP receives a text document as input and returns an enriched document, where all mentions of places/locations are associated to the corresponding geographic coordinates. To...

This course is an introduction to data collection, data preparation & transformation and data analysis. It contains the essential concepts for a researcher in order to...

The SMAPH system links queries to the entities it mentions, disambiguating mentions if needed. Entities are Wikipedia pages. This problem is known as "entity recognition and...

The Quantum Distance-Based Classifier is a technique inspired by the classical k-Nearest Neighbors that leverages quantum properties to perform prediction.

CLiQS is a Python language software package for social media texts summarization with a diversified approach.

Efficient interpolation-based ranking on CPUs

A dataset of soccer-logs for all the main soccer leagues in the world, from season 2014/2015 to the current one.

This tool creates a dictionary with inverse document frequency (idf) values from the Google NGrams dataset.

Embeddings were created through applying word2vec skipgram to a corpus of wikipedia non-stub articles from a December 2015 English dump with the following parameters: -cbow 0...

This dataset contains data regarding one full season of soccer games. For each player there are locations (positions in pitch) visited and all the events they generated...

CAsT 2019 data is split into two files one for training and the other one for testing. - Training set: CAsT 2019 conversations from training set and from test set without...