96 citations · 592 across the 34 of their papers we have counts for
34 papers
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…
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…
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…
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…
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…
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,…
Optimal word order for non-causal text generation with Large Language Models: the Spanish case
Andrea Busto-Castiñeira, Silvia García-Méndez, Francisco de Arriba-Pérez +1
Natural Language Generation (NLG) popularity has increased owing to the progress in Large Language Models (LLMs), with zero-shot inference capabilities. However, most neural system…
Identification and explanation of disinformation in wiki data streams
Francisco de Arriba-Pérez, Silvia García-Méndez, Fátima Leal +2
Social media platforms, increasingly used as news sources for varied data analytics, have transformed how information is generated and disseminated. However, the unverified nature…
Explainable cognitive decline detection in free dialogues with a Machine Learning approach based on pre-trained Large Language Models
Francisco de Arriba-Pérez, Silvia García-Méndez, Javier Otero-Mosquera +1
Cognitive and neurological impairments are very common, but only a small proportion of affected individuals are diagnosed and treated, partly because of the high costs associated w…
Leveraging Large Language Models through Natural Language Processing to provide interpretable Machine Learning predictions of mental deterioration in real time
Francisco de Arriba-Pérez, Silvia García-Méndez
Based on official estimates, 50 million people worldwide are affected by dementia, and this number increases by 10 million new patients every year. Without a cure, clinical prognos…
Predictability and Causality in Spanish and English Natural Language Generation
Andrea Busto-Castiñeira, Francisco J. González-Castaño, Silvia García-Méndez +1
In recent years, the field of Natural Language Generation (NLG) has been boosted by the recent advances in deep learning technologies. Nonetheless, these new data-intensive methods…
Online detection and infographic explanation of spam reviews with data drift adaptation
Francisco de Arriba-Pérez, Silvia García-Méndez, Fátima Leal +2
Spam reviews are a pervasive problem on online platforms due to its significant impact on reputation. However, research into spam detection in data streams is scarce. Another conce…
Informatics & dairy industry coalition: AI trends and present challenges
Silvia García-Méndez, Francisco de Arriba-Pérez, María del Carmen Somoza-López
Artificial Intelligence (AI) can potentially transform the industry, enhancing the production process and minimizing manual, repetitive tasks. Accordingly, the synergy between high…
Unsupervised explainable activity prediction in competitive Nordic Walking from experimental data
Silvia García-Méndez, Francisco de Arriba-Pérez, Francisco J. González-Castaño +1
Artificial Intelligence (AI) has found application in Human Activity Recognition (HAR) in competitive sports. To date, most Machine Learning (ML) approaches for HAR have relied on…
Automatic generation of insights from workers' actions in industrial workflows with explainable Machine Learning
Francisco de Arriba-Pérez, Silvia García-Méndez, Javier Otero-Mosquera +2
New technologies such as Machine Learning (ML) gave great potential for evaluating industry workflows and automatically generating key performance indicators (KPIs). However, despi…
Explainable assessment of financial experts' credibility by classifying social media forecasts and checking the predictions with actual market data
Silvia García-Méndez, Francisco de Arriba-Pérez, Jaime González-Gonzáleza +1
Social media include diverse interaction metrics related to user popularity, the most evident example being the number of user followers. The latter has raised concerns about the c…
Simulation, Modelling and Classification of Wiki Contributors: Spotting The Good, The Bad, and The Ugly
Silvia García Méndez, Fátima Leal, Benedita Malheiro +4
Data crowdsourcing is a data acquisition process where groups of voluntary contributors feed platforms with highly relevant data ranging from news, comments, and media to knowledge…
Automatic detection of cognitive impairment in elderly people using an entertainment chatbot with Natural Language Processing capabilities
Francisco de Arriba-Pérez, Silvia García-Méndez, Francisco J. González-Castaño +1
Previous researchers have proposed intelligent systems for therapeutic monitoring of cognitive impairments. However, most existing practical approaches for this purpose are based o…
A System for Automatic English Text Expansion
Silvia García Méndez, Milagros Fernández Gavilanes, Enrique Costa Montenegro +3
We present an automatic text expansion system to generate English sentences, which performs automatic Natural Language Generation (NLG) by combining linguistic rules with statistic…
Interpretable classification of wiki-review streams
Silvia García Méndez, Fátima Leal, Benedita Malheiro +1
Wiki articles are created and maintained by a crowd of editors, producing a continuous stream of reviews. Reviews can take the form of additions, reverts, or both. This crowdsourci…
Explainable machine learning multi-label classification of Spanish legal judgements
Francisco de Arriba-Pérez, Silvia García-Méndez, Francisco J. González-Castaño +1
Artificial Intelligence techniques such as Machine Learning (ML) have not been exploited to their maximum potential in the legal domain. This has been partially due to the insuffic…
A Library for Automatic Natural Language Generation of Spanish Texts
Silvia García-Méndez, Milagros Fernández-Gavilanes, Enrique Costa-Montenegro +2
In this article we present a novel system for natural language generation (NLG) of Spanish sentences from a minimum set of meaningful words (such as nouns, verbs and adjectives) wh…
Explainable automatic industrial carbon footprint estimation from bank transaction classification using natural language processing
Jaime González-González, Silvia García-Méndez, Francisco de Arriba-Pérez +2
Concerns about the effect of greenhouse gases have motivated the development of certification protocols to quantify the industrial carbon footprint (CF). These protocols are manual…
A review on the use of large language models as virtual tutors
Silvia García-Méndez, Francisco de Arriba-Pérez, María del Carmen Somoza-López
Transformer architectures contribute to managing long-term dependencies for Natural Language Processing, representing one of the most recent changes in the field. These architectur…