activity
20162022
most citedEvery Colour You Are: Stance Prediction and Turnaround in Controversial Issues

18 citations · 18 across the 2 of their papers we have counts for

collaborators

9 papers

cs.SI2022

Bots don't Vote, but They Surely Bother! A Study of Anomalous Accounts in a National Referendum

Eduardo Graells-Garrido, Ricardo Baeza-Yates

The Web contains several social media platforms for discussion, exchange of ideas, and content publishing. These platforms are used by people, but also by distributed agents known…

cs.DS2020

Adaptive Community Search in Dynamic Networks

Ioanna Tsalouchidou, Francesco Bonchi, Ricardo Baeza-Yates

Community search is a well-studied problem which, given a static graph and a query set of vertices, requires to find a cohesive (or dense) subgraph containing the query vertices. I…

cs.SI202018 cited

Every Colour You Are: Stance Prediction and Turnaround in Controversial Issues

Eduardo Graells-Garrido, Ricardo Baeza-Yates, Mounia Lalmas

Web platforms have allowed political manifestation and debate for decades. Technology changes have brought new opportunities for expression, and the availability of longitudinal da…

cs.HC2019

Predicting risk of dyslexia with an online gamified test

Luz Rello, Ricardo Baeza-Yates, Abdullah Ali +2

Dyslexia is a specific learning disorder related to school failure. Detection is both crucial and challenging, especially in languages with transparent orthographies, such as Spani…

cs.SI2018

What kind of content are you prone to tweet? Multi-topic Preference Model for Tweeters

Lorena Recalde, Ricardo Baeza-Yates

According to tastes, a person could show preference for a given category of content to a greater or lesser extent. However, quantifying people's amount of interest in a certain top…

cs.IR2017

Quality-Efficiency Trade-offs in Machine Learning for Text Processing

Ricardo Baeza-Yates, Zeinab Liaghat

Data mining, machine learning, and natural language processing are powerful techniques that can be used together to extract information from large texts. Depending on the task or p…