96 citations · 561 across the 34 of their papers we have counts for
35 papers
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…
5G Network Slicing as a Service Enabler for theAutomotive Sector
David Candal-Ventureira, José Manuel Rúa-Estévez, Pablo Fondo-Ferreiro +5
Network slicing, a key technology introduced in 5G standards, enables mobile networks to simultaneously support a wide range ofheterogeneous use cases with diverse quality of servi…
Learning-based visibility prediction for terahertz communications in 6G networks
Pablo Fondo-Ferreiro, Cristina López-Bravo, Francisco Javier González-Castaño +2
Terahertz communications are envisioned as a key enabler for 6G networks. The abundant spectrum available in such ultra high frequencies has the potential to increase network capac…
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…
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…
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…
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…
Creating emoji lexica from unsupervised sentiment analysis of their descriptions
Milagros Fernández-Gavilanes, Jonathan Juncal-Martínez, Silvia García-Méndez +2
Online media, such as blogs and social networking sites, generate massive volumes of unstructured data of great interest to analyze the opinions and sentiments of individuals and o…
Targeted aspect-based emotion analysis to detect opportunities and precaution in financial Twitter messages
Silvia García-Méndez, Francisco de Arriba-Pérez, Ana Barros-Vila +1
Microblogging platforms, of which Twitter is a representative example, are valuable information sources for market screening and financial models. In them, users voluntarily provid…
Automatic detection of relevant information, predictions and forecasts in financial news through topic modelling with Latent Dirichlet Allocation
Silvia García-Méndez, Francisco de Arriba-Pérez, Ana Barros-Vila +2
Financial news items are unstructured sources of information that can be mined to extract knowledge for market screening applications. Manual extraction of relevant information fro…
Detection of Temporality at Discourse Level on Financial News by Combining Natural Language Processing and Machine Learning
Silvia García-Méndez, Francisco de Arriba-Pérez, Ana Barros-Vila +1
Finance-related news such as Bloomberg News, CNN Business and Forbes are valuable sources of real data for market screening systems. In news, an expert shares opinions beyond plain…
Automatic explanation of the classification of Spanish legal judgments in jurisdiction-dependent law categories with tree estimators
Jaime González-González, Francisco de Arriba-Pérez, Silvia García-Méndez +2
Automatic legal text classification systems have been proposed in the literature to address knowledge extraction from judgments and detect their aspects. However, most of these sys…
Self-Corrective Sensor Fusion for Drone Positioning in Indoor Facilities
Francisco Javier González-Castaño, Felipe Gil-Castiñeira, David Rodríguez-Pereira +3
Drones may be more advantageous than fixed cameras for quality control applications in industrial facilities, since they can be redeployed dynamically and adjusted to production pl…
Identifying Banking Transaction Descriptions via Support Vector Machine Short-Text Classification Based on a Specialized Labelled Corpus
Silvia García-Méndez, Milagros Fernández-Gavilanes, Jonathan Juncal-Martínez +2
Short texts are omnipresent in real-time news, social network commentaries, etc. Traditional text representation methods have been successfully applied to self-contained documents…
Detection of financial opportunities in micro-blogging data with a stacked classification system
Francisco de Arriba-Pérez, Silvia García-Méndez, José A. Regueiro-Janeiro +1
Micro-blogging sources such as the Twitter social network provide valuable real-time data for market prediction models. Investors' opinions in this network follow the fluctuations…
Entertainment chatbot for the digital inclusion of elderly people without abstraction capabilities
Silvia García-Méndez, Francisco de Arriba-Pérez, Francisco J. González-Castaño +2
Current language processing technologies allow the creation of conversational chatbot platforms. Even though artificial intelligence is still too immature to support satisfactory u…
Quarantining Malicious IoT Devices in Intelligent Sliced Mobile Networks
David Candal-Ventureira, Pablo Fondo-Ferreiro, Felipe Gil-Castiñeira +1
The unstoppable adoption of the Internet of Things (IoT) is driven by the deployment of new services that require continuous capture of information from huge populations of sensors…
Latency Reduction in Vehicular Sensing Applications by Dynamic 5G User Plane Function Allocation with Session Continuity
Pablo Fondo-Ferreiro, David Candal-Ventureira, Francisco Javier González-Castaño +1
Vehicle automation is driving the integration of advanced sensors and new applications that demand high-quality information, such as collaborative sensing for enhanced situational…
Is the edge really necessary for drone computing offloading? An experimental assessment in carrier-grade 5G operator networks
David Candal-Ventureira, Francisco Javier González-Castaño, Felipe Gil-Castiñeira +1
In this article, we evaluate the first experience of computation offloading from drones to real fifth-generation (5G) operator systems, including commercial and private carrier-gra…