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Articles by de Arriba-Pérez

[2510.19671] Explainable e-sports win prediction through Machine Learning classification in streaming

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By de Arriba-Pérez
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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[2508.10025] Detecting and explaining postpartum depression in real-time with generative artificial intelligence

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By de Arriba-Pérez
| arXiv
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[2508.05388] An Explainable Machine Learning Framework for Railway Predictive Maintenance using Data Streams from the Metro Operator of Portugal

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By de Arriba-Pérez, Juan Carlos
| arXiv
[Submitted on 7 Aug 2025] Title:An Explainable Machine Learning Framework for Railway Predictive Maintenance using Data Streams from the Metro Operator of Portugal View a PDF of the paper titled An Explainable Machine Learning Framework for Railway Predictive Maintenance using Data Streams from the Metro Operator of Portugal, by Silvia Garc\'ia-M\'endez and 5 other authors View PDF HTML (experimental) Abstract:This work contributes to a real-time data-driven predictive maintenance solution...
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Promoting Security and Trust on Social Networks: Explainable Cyberbullying Detection Using Large Language Models in a Stream-Based Machine Learning Framework

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By de Arriba-Pérez
| arXiv
[Submitted on 7 Apr 2025] Title:Promoting Security and Trust on Social Networks: Explainable Cyberbullying Detection Using Large Language Models in a Stream-Based Machine Learning Framework View a PDF of the paper titled Promoting Security and Trust on Social Networks: Explainable Cyberbullying Detection Using Large Language Models in a Stream-Based Machine Learning Framework, by Silvia Garc\'ia-M\'endez and Francisco De Arriba-P\'erez View PDF HTML (experimental) Abstract:Social media...
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Optimal word order for non-causal text generation with Large Language Models: the Spanish case

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By de Arriba-Pérez, Silvia García-Méndez, Francisco de Arriba-Pérez, Francisco J. González-Castaño
| arXiv
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[2411.02036] Explainable cognitive decline detection in free dialogues with a Machine Learning approach based on pre-trained Large Language Models

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By de Arriba-Pérez, Silvia García-Méndez, Javier Otero-Mosquera, Francisco J. González-Castaño
| arXiv
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[2409.03375] Leveraging Large Language Models through Natural Language Processing to provide interpretable Machine Learning predictions of mental deterioration in real time

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By de Arriba-Pérez
| arXiv
[Submitted on 5 Sep 2024] Title:Leveraging Large Language Models through Natural Language Processing to provide interpretable Machine Learning predictions of mental deterioration in real time View a PDF of the paper titled Leveraging Large Language Models through Natural Language Processing to provide interpretable Machine Learning predictions of mental deterioration in real time, by Francisco de Arriba-P\'erez and 1 other authors View PDF HTML (experimental) Abstract:Based on official...
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[2408.14283] Predictability and Causality in Spanish and English Natural Language Generation

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By de Arriba-Pérez, Francisco J. González-Castaño, Silvia García-Méndez, Francisco de Arriba-Pérez
| arXiv
[Submitted on 26 Aug 2024] Title:Predictability and Causality in Spanish and English Natural Language Generation View a PDF of the paper titled Predictability and Causality in Spanish and English Natural Language Generation, by Andrea Busto-Casti\~neira and Francisco J.
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[2406.15038] Online detection and infographic explanation of spam reviews with data drift adaptation

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By de Arriba-Pérez, Silvia García-Méndez, Fátima Leal, Benedita Malheiro
| arXiv
[Submitted on 21 Jun 2024] Title:Online detection and infographic explanation of spam reviews with data drift adaptation View a PDF of the paper titled Online detection and infographic explanation of spam reviews with data drift adaptation, by Francisco de Arriba-P\'erez and 4 other authors View PDF HTML (experimental) Abstract: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.
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Formatics & dairy industry coalition: AI trends and present challenges

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By de Arriba-Pérez, María Del Carmen, Francisco de Arriba-Pérez
| arXiv
arXiv:2406.12770 (cs) View PDF HTML (experimental) Subjects: Artificial Intelligence (cs.AI); Computation and Language (cs.CL) Cite as: arXiv:2406.12770 [cs.AI] (or arXiv:2406.12770v1 [cs.AI] for this version) Related DOI: https://doi.org/10.1109/MIE.2023.3328106 Submission history From: Francisco de Arriba-Pérez [ view email] [v1] Tue, 18 Jun 2024 16:39:21 UTC (1,011 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Litmaps Toggle Litmaps (What is Litmaps?)...
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[2406.12762] Unsupervised explainable activity prediction in competitive Nordic Walking from experimental data

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By de Arriba-Pérez, Francisco de Arriba-Pérez, Francisco J. González-Castaño, Javier Vales-Alonso
| arXiv
[Submitted on 18 Jun 2024] Title:Unsupervised explainable activity prediction in competitive Nordic Walking from experimental data View a PDF of the paper titled Unsupervised explainable activity prediction in competitive Nordic Walking from experimental data, by Silvia Garc\'ia-M\'endez and 3 other authors View PDF HTML (experimental) Abstract:Artificial Intelligence (AI) has found application in Human Activity Recognition (HAR) in competitive sports.
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[2406.12732] Automatic generation of insights from workers' actions in industrial workflows with explainable Machine Learning

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By de Arriba-Pérez, Silvia García-Méndez, Francisco J. González-Castaño, Javier Otero-Mosquera
| arXiv
[Submitted on 18 Jun 2024] Title:Automatic generation of insights from workers' actions in industrial workflows with explainable Machine Learning View a PDF of the paper titled Automatic generation of insights from workers' actions in industrial workflows with explainable Machine Learning, by Francisco de Arriba-P\'erez and 3 other authors View PDF HTML (experimental) Abstract:New technologies such as Machine Learning (ML) gave great potential for evaluating industry workflows and...
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[2405.18542] Automatic detection of cognitive impairment in elderly people using an entertainment chatbot with Natural Language Processing capabilities

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By de Arriba-Pérez
| arXiv
[Submitted on 28 May 2024] Title:Automatic detection of cognitive impairment in elderly people using an entertainment chatbot with Natural Language Processing capabilities View a PDF of the paper titled Automatic detection of cognitive impairment in elderly people using an entertainment chatbot with Natural Language Processing capabilities, by Francisco de Arriba-P\'erez and 3 other authors View PDF HTML (experimental) Abstract:Previous researchers have proposed intelligent systems for...
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[2405.17610] Explainable machine learning multi-label classification of Spanish legal judgements

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By de Arriba-Pérez
| arXiv
[Submitted on 27 May 2024] Title:Explainable machine learning multi-label classification of Spanish legal judgements View a PDF of the paper titled Explainable machine learning multi-label classification of Spanish legal judgements, by Francisco de Arriba-P\'erez and 3 other authors View PDF HTML (experimental) Abstract:Artificial Intelligence techniques such as Machine Learning (ML) have not been exploited to their maximum potential in the legal domain.
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[2405.14505] Explainable automatic industrial carbon footprint estimation from bank transaction classification using natural language processing

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By de Arriba-Pérez, Silvia García-Méndez, Francisco de Arriba-Pérez, Francisco J. González-Castaño
| arXiv
[Submitted on 23 May 2024] Title:Explainable automatic industrial carbon footprint estimation from bank transaction classification using natural language processing View a PDF of the paper titled Explainable automatic industrial carbon footprint estimation from bank transaction classification using natural language processing, by Jaime Gonz\'alez-Gonz\'alez and 4 other authors View PDF Abstract:Concerns about the effect of greenhouse gases have motivated the development of certification...
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[2405.11983] A review on the use of large language models as virtual tutors

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By de Arriba-Pérez, María Del Carmen
| arXiv
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[2405.06668] Exposing and Explaining Fake News On-the-Fly

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By de Arriba-Pérez, Juan Carlos, Silvia García-Méndez, Fátima Leal
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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[2404.08665] Targeted aspect-based emotion analysis to detect opportunities and precaution in financial Twitter messages

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By de Arriba-Pérez, Francisco de Arriba-Pérez, Ana Barros-Vila, Francisco J. González-Castaño
| arXiv
[Submitted on 30 Mar 2024] Title:Targeted aspect-based emotion analysis to detect opportunities and precaution in financial Twitter messages View a PDF of the paper titled Targeted aspect-based emotion analysis to detect opportunities and precaution in financial Twitter messages, by Silvia Garc\'ia-M\'endez and 3 other authors View PDF HTML (experimental) Abstract:Microblogging platforms, of which Twitter is a representative example, are valuable information sources for market screening and...
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[2404.01338] Automatic detection of relevant information, predictions and forecasts in financial news through topic modelling with Latent Dirichlet Allocation

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By de Arriba-Pérez, Francisco de Arriba-Pérez, Ana Barros-Vila, Francisco J. González-Castaño
| arXiv
[Submitted on 30 Mar 2024] Title:Automatic detection of relevant information, predictions and forecasts in financial news through topic modelling with Latent Dirichlet Allocation View a PDF of the paper titled Automatic detection of relevant information, predictions and forecasts in financial news through topic modelling with Latent Dirichlet Allocation, by Silvia Garc\'ia-M\'endez and 4 other authors View PDF Abstract:Financial news items are unstructured sources of information that can be...
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[2404.01337] Detection of Temporality at Discourse Level on Financial News by Combining Natural Language Processing and Machine Learning

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By de Arriba-Pérez, Francisco de Arriba-Pérez, Ana Barros-Vila, Francisco J. González-Castaño
| arXiv
[Submitted on 30 Mar 2024] Title:Detection of Temporality at Discourse Level on Financial News by Combining Natural Language Processing and Machine Learning View a PDF of the paper titled Detection of Temporality at Discourse Level on Financial News by Combining Natural Language Processing and Machine Learning, by Silvia Garc\'ia-M\'endez and 3 other authors View PDF HTML (experimental) Abstract:Finance-related news such as Bloomberg News, CNN Business and Forbes are valuable sources of real...
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[2404.01327] Entertainment chatbot for the digital inclusion of elderly people without abstraction capabilities

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By de Arriba-Pérez, Francisco de Arriba-Pérez, Francisco J. González-Castaño, José A. Regueiro-Janeiro
| arXiv
[Submitted on 29 Mar 2024] Title:Entertainment chatbot for the digital inclusion of elderly people without abstraction capabilities View a PDF of the paper titled Entertainment chatbot for the digital inclusion of elderly people without abstraction capabilities, by Silvia Garc\'ia-M\'endez and 4 other authors View PDF HTML (experimental) Abstract:Current language processing technologies allow the creation of conversational chatbot platforms.
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Automatic detection of relevant information, predictions and forecasts in financial news through topic modelling with Latent Dirichlet Allocation

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By de Arriba-Pérez
| paperity.org
Applied Intelligence, Mar 2023 This is a preview of a remote PDF: https://link.springer.com/content/pdf/10.1007/s10489-023-04452-4.pdf García-Méndez, Silvia, de Arriba-Pérez, Francisco, Barros-Vila, Ana, González-Castaño, Francisco J., Costa-Montenegro, Enrique. , Applied Intelligence, 2023, pp. 1-19, DOI: 10.1007/s10489-023-04452-4
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