FRANCISCO
DE ARRIBA PEREZ
INVESTIGADORES "POSDOUTORAL XUNTA"
FRANCISCO JAVIER
GONZALEZ CASTAÑO
CATEDRATICO/A UNIVERSIDADE - TEMPO COMPLETO
FRANCISCO JAVIER GONZALEZ CASTAÑO-rekin lankidetzan egindako argitalpenak (20)
2024
-
Automatic Generation of Insights From Workers' Actions in Industrial Workflows With Explainable Machine Learning: A Proposed Architecture With Validation
IEEE Industrial Electronics Magazine, Vol. 18, Núm. 2, pp. 17-29
-
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 Systems With Applications (2022) 197, (S095741742200135X), (10.1016/j.eswa.2022.116648))
Expert Systems with Applications
-
Corrigendum to “Explainable machine learning multi-label classification of Spanish legal judgements” [J. King Saud Univ. - Comput. Inf. Sci. 34 (2022) 10180–10192, (S1319157822003664), (10.1016/j.jksuci.2022.10.015)]
Journal of King Saud University - Computer and Information Sciences
-
Explainable assessment of financial experts’ credibility by classifying social media forecasts and checking the predictions with actual market data
Expert Systems with Applications, Vol. 255
-
Explainable cognitive decline detection in free dialogues with a Machine Learning approach based on pre-trained Large Language Models
Applied Intelligence
-
Predictability and Causality in Spanish and English Natural Language Generation
IEEE Access, Vol. 12, pp. 132521-132532
-
Unsupervised Explainable Activity Prediction in Competitive Nordic Walking from Experimental Data
IEEE Consumer Electronics Magazine, Vol. 13, Núm. 6, pp. 37-55
2023
-
Automatic detection of cognitive impairment in elderly people using an entertainment chatbot with Natural Language Processing capabilities
Journal of Ambient Intelligence and Humanized Computing, Vol. 14, Núm. 12, pp. 16283-16298
-
Automatic detection of relevant information, predictions and forecasts in financial news through topic modelling with Latent Dirichlet Allocation
Applied Intelligence, Vol. 53, Núm. 16, pp. 19610-19628
-
Automatic explanation of the classification of Spanish legal judgments in jurisdiction-dependent law categories with tree estimators
Journal of King Saud University - Computer and Information Sciences, Vol. 35, Núm. 7
-
TRANSFORMER LANGUAGE MODEL-BASED MOBILE LEARNING SOLUTION FOR HIGHER EDUCATION
Proceedings of the International Conferences on e-Society 2023, ES 2023 and Mobile Learning 2023, ML 2023
-
Targeted aspect-based emotion analysis to detect opportunities and precaution in financial Twitter messages
Expert Systems with Applications, Vol. 218
-
“A PIECE OF CAKE” - SUSTAINABLE EDUCATION PRACTICES WITH TRANSFORMER MODELS
17th International Conference on e-Learning and Digital Learning 2023, ELDL 2023 and 11th International Conference on Sustainability, Technology and Education 2023, STE 2023
2022
-
Detection of temporality at discourse level on financial news by combining Natural Language Processing and Machine Learning
Expert Systems with Applications, Vol. 197
-
Explainable Automatic Industrial Carbon Footprint Estimation From Bank Transaction Classification Using Natural Language Processing
IEEE Access, Vol. 10, pp. 126326-126338
-
Explainable machine learning multi-label classification of Spanish legal judgements
Journal of King Saud University - Computer and Information Sciences, Vol. 34, Núm. 10, pp. 10180-10192
2021
-
Demographic Market Segmentation on Short Banking Movement Descriptions Applying Natural Language Processing
Proceedings - 2021 International Symposium on Computer Science and Intelligent Controls, ISCSIC 2021
-
Entertainment Chatbot for the Digital Inclusion of Elderly People without Abstraction Capabilities
IEEE Access, Vol. 9, pp. 75878-75891
-
Evaluation of abstraction capabilities and detection of discomfort with a newscaster chatbot for entertaining elderly users
Sensors, Vol. 21, Núm. 16
2020
-
Detection of Financial Opportunities in Micro-Blogging Data with a Stacked Classification System
IEEE Access, Vol. 8, pp. 215679-215690