most citedCreating emoji lexica from unsupervised sentiment analysis of their descriptions

96 citations · 592 across the 34 of their papers we have counts for

collaborators

34 papers

cs.AI2025★ 3 cited

Explainable e-sports win prediction through Machine Learning classification in streaming

Silvia García-Méndez, Francisco de Arriba-Pérez

The increasing number of spectators and players in e-sports, along with the development of optimized communication solutions and cloud computing technology, has motivated the const…

cs.CL2025★ 2 cited

Unraveling Emotions with Pre-Trained Models

Alejandro Pajón-Sanmartín, Francisco De Arriba-Pérez, Silvia García-Méndez +3

Transformer models have significantly advanced the field of emotion recognition. However, there are still open challenges when exploring open-ended queries for Large Language Model…

cs.CL2025★ 10 cited

Detecting and explaining postpartum depression in real-time with generative artificial intelligence

Silvia García-Méndez, Francisco de Arriba-Pérez

Among the many challenges mothers undergo after childbirth, postpartum depression (PPD) is a severe condition that significantly impacts their mental and physical well-being. Conse…

eess.IV2025★ 4 cited

Advanced Deep Learning Techniques for Accurate Lung Cancer Detection and Classification

Mobarak Abumohsen, Enrique Costa-Montenegro, Silvia García-Méndez +2

Lung cancer (LC) ranks among the most frequently diagnosed cancers and is one of the most common causes of death for men and women worldwide. Computed Tomography (CT) images are th…

cs.AI2025

An Explainable Machine Learning Framework for Railway Predictive Maintenance using Data Streams from the Metro Operator of Portugal

Silvia García-Méndez, Francisco de Arriba-Pérez, Fátima Leal +3

This work contributes to a real-time data-driven predictive maintenance solution for Intelligent Transportation Systems. The proposed method implements a processing pipeline compri…

cs.SI2025★ 4 cited

Promoting Security and Trust on Social Networks: Explainable Cyberbullying Detection Using Large Language Models in a Stream-Based Machine Learning Framework

Silvia García-Méndez, Francisco De Arriba-Pérez

Social media platforms enable instant and ubiquitous connectivity and are essential to social interaction and communication in our technological society. Apart from its advantages,…