Francisco de Arriba-Pérez
Orcid: 0000-0002-1140-679X
According to our database1,
Francisco de Arriba-Pérez
authored at least 33 papers
between 2016 and 2024.
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Bibliography
2024
Explainable cognitive decline detection in free dialogues with a Machine Learning approach based on pre-trained Large Language Models.
Appl. Intell., December, 2024
Unsupervised Explainable Activity Prediction in Competitive Nordic Walking From Experimental Data.
IEEE Consumer Electron. Mag., November, 2024
Corrigendum to "Explainable machine learning multi-label classification of Spanish legal judgements" [J. King Saud Univ. - Comput. Inf. Sci. 34 (2022) 10180-10192].
J. King Saud Univ. Comput. Inf. Sci., February, 2024
Online Detection and Infographic Explanation of Spam Reviews with Data Drift Adaptation.
Informatica, 2024
Explainable assessment of financial experts' credibility by classifying social media forecasts and checking the predictions with actual market data.
Expert Syst. Appl., 2024
Corrigendum to "Detection of temporality at discourse level on financial news by combing Natural Language Processing and Machine Learning" [Expert Syst. Appl. 197 (2022) 116648].
Expert Syst. Appl., 2024
Leveraging Large Language Models through Natural Language Processing to provide interpretable Machine Learning predictions of mental deterioration in real time.
CoRR, 2024
Online detection and infographic explanation of spam reviews with data drift adaptation.
CoRR, 2024
Toward data-driven research: preliminary study to predict surface roughness in material extrusion using previously published data with Machine Learning.
CoRR, 2024
Automatic generation of insights from workers' actions in industrial workflows with explainable Machine Learning.
CoRR, 2024
IEEE Access, 2024
Proceedings of the Good Practices and New Perspectives in Information Systems and Technologies, 2024
2023
Automatic detection of cognitive impairment in elderly people using an entertainment chatbot with Natural Language Processing capabilities.
J. Ambient Intell. Humaniz. Comput., December, 2023
Automatic detection of relevant information, predictions and forecasts in financial news through topic modelling with Latent Dirichlet Allocation.
Appl. Intell., August, 2023
Automatic explanation of the classification of Spanish legal judgments in jurisdiction-dependent law categories with tree estimators.
J. King Saud Univ. Comput. Inf. Sci., July, 2023
Targeted aspect-based emotion analysis to detect opportunities and precaution in financial Twitter messages.
Expert Syst. Appl., May, 2023
2022
J. King Saud Univ. Comput. Inf. Sci., November, 2022
Detection of temporality at discourse level on financial news by combining Natural Language Processing and Machine Learning.
Expert Syst. Appl., 2022
Explainable Automatic Industrial Carbon Footprint Estimation From Bank Transaction Classification Using Natural Language Processing.
IEEE Access, 2022
Investigation of Local Interpretable Model-Agnostic Explanations (LIME) Framework with Multi-Dialect Arabic Text Sentiment Classification.
Proceedings of the 32nd International Conference on Computer Theory and Applications, 2022
2021
Evaluation of Abstraction Capabilities and Detection of Discomfort with a Newscaster Chatbot for Entertaining Elderly Users.
Sensors, 2021
Entertainment Chatbot for the Digital Inclusion of Elderly People Without Abstraction Capabilities.
IEEE Access, 2021
Demographic Market Segmentation on Short Banking Movement Descriptions Applying Natural Language Processing.
Proceedings of the 2021 International Symposium on Computer Science and Intelligent Control, 2021
2020
Detection of Financial Opportunities in Micro-Blogging Data With a Stacked Classification System.
IEEE Access, 2020
2019
Study of stress detection and proposal of stress-related features using commercial-off-the-shelf wrist wearables.
J. Ambient Intell. Humaniz. Comput., 2019
2018
How do you sleep? Using off the shelf wrist wearables to estimate sleep quality, sleepiness level, chronotype and sleep regularity indicators.
J. Ambient Intell. Humaniz. Comput., 2018
2017
Ongoing Research About the Use of Commercial-off-the-shelf Wrist Wearables in Educational Contexts.
Proceedings of the Learning Analytics Summer Institute Spain 2017: Advances in Learning Analytics, 2017
Proceedings of the 2017 4th Experiment@International Conference (exp.at'17), 2017
2016
Collection and Processing of Data from Wrist Wearable Devices in Heterogeneous and Multiple-User Scenarios.
Sensors, 2016
Proceedings of the New Advances in Information Systems and Technologies, 2016