The recent years have witnessed the rise of accurate but obscure decision systems which hide the logic of their internal decision processes to the users. The lack of...

The program is intended for calculating semantic distances between input texts. As a commandline script it takes a list of tab-separated text pairs (line-per-pair) and returns...

This method allows the annotation of named entities (person, location, organization, date) as well as the numbers and measurement expressions. Default Annotations are: Address,...

Deep learning for automatic detection of soccer events from broadcasted video Soccer analytics is attracting increasing interest in academia and industry, thanks to the...

Service that processes threads of short English-language texts such as tweets or forum postings and attempts to determine the stance (support, deny, question or comment) of...

Classifies short texts such as Tweets based on whether they contain offensive language

Scikit-mobility is a library for human mobility analysis in Python. The library allows to: represent trajectories and mobility flows with proper data structures, TrajDataFrame...

Leader Detect is an algorithm that takes as input a social network and a table of actions performed by the people in the social networks and returns for each action the list...

https://github.com/HPAI-BSC/Focus-Metric Implementation of the Focus metric. This metric is able to evaluate explainability methods and quantify their coherency to the task...

The problem of evaluating the performance of soccer players is attracting the interest of many companies and the scientific community, thanks to the availability of massive...

This algorithm simulates the outcomes of an entire season of each team of a football league only relying on technical data (i.e., excluding the goals scored), by exploiting a...

As mobility within the European Economic Area (EEA) is on the rise, it is important to understand migrants’ health-related behaviors (such as physical activity [PA]) within...

How-to guide that describes four recipes for visual media analysis, including key software tools that enable the analysis

The video tutorial discusses the case study of deepfakes to present how to perform Visual Media Analysis for Online Discourses. The tutorial includes: research questions;...

The video tutorial discusses using computer vision techniques to study online images, including case studies, research methods, challenges faced, and lessons learned.

The video tutorial introduces the concept of the "metapicture" for the visual media analysis of online discourses and explains various analysis techniques: Visual Similarity,...

The video tutorial presents techniques for analysing meme collections with the computer vision network approach, including seven steps for network building and interpretation,...

The video tutorial discusses making meme collections, including the meme as a technical collection of objects, automated visual analysis, and meme collection distinctiveness.