activity
20162025
most citedEmotional Intensity analysis in Bipolar subjects

10 citations · 23 across the 8 of their papers we have counts for

collaborators

9 papers

cs.SC2025

THOI: An efficient and accessible library for computing higher-order interactions enhanced by batch-processing

Laouen Belloli, Pedro Mediano, Rodrigo Cofré +2

Complex systems are characterized by nonlinear dynamics, multi-level interactions, and emergent collective behaviors. Traditional analyses that focus solely on pairwise interaction…

cs.CL2023★ 1 cited

The Undesirable Dependence on Frequency of Gender Bias Metrics Based on Word Embeddings

Francisco Valentini, Germán Rosati, Diego Fernandez Slezak +1

Numerous works use word embedding-based metrics to quantify societal biases and stereotypes in texts. Recent studies have found that word embeddings can capture semantic similarity…

cs.CL2022★ 2 cited

Investigating the Frequency Distortion of Word Embeddings and Its Impact on Bias Metrics

Francisco Valentini, Juan Cruz Sosa, Diego Fernandez Slezak +1

Recent research has shown that static word embeddings can encode word frequency information. However, little has been studied about this phenomenon and its effects on downstream ta…

q-bio.NC2021

Simple and Cheap Setup for Timing Tapping Responses Synchronized to Auditory Stimuli

Martin Miguel, Pablo Riera, Diego Fernandez Slezak

Measuring human capabilities to synchronize in time, adapt to perturbations to timing sequences or reproduce time intervals often require experimental setups that allow recording r…

cs.CL2021★ 1 cited

On the Interpretability and Significance of Bias Metrics in Texts: a PMI-based Approach

Francisco Valentini, Germán Rosati, Damián Blasi +2

In recent years, word embeddings have been widely used to measure biases in texts. Even if they have proven to be effective in detecting a wide variety of biases, metrics based on…

eess.IV2020★ 1 cited

Unsupervised Domain Adaptation via CycleGAN for White Matter Hyperintensity Segmentation in Multicenter MR Images

Julian Alberto Palladino, Diego Fernandez Slezak, Enzo Ferrante

Automatic segmentation of white matter hyperintensities in magnetic resonance images is of paramount clinical and research importance. Quantification of these lesions serve as a pr…