COGRADE
Gráficos por computador e enxeñaría de datos
Publicacións (11) Publicacións nas que participase algún/ha investigador/a Ver datos de investigación referenciados.
2025
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Density matrix emulation of quantum recurrent neural networks for multivariate time series prediction
MACHINE LEARNING-SCIENCE AND TECHNOLOGY, Vol. 6, Núm. 1
2023
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A survey on machine learning in array databases
Applied Intelligence, Vol. 53, Núm. 9, pp. 9799-9822
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Study and comparison of different Machine Learning-based approaches to solve the inverse problem in Electrical Impedance Tomographies
Neural Computing and Applications, Vol. 35, Núm. 7, pp. 5465-5477
2022
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A comparison of machine learning algorithms for forecasting indoor temperature in smart buildings
Energy Systems, Vol. 13, Núm. 3, pp. 689-705
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A comparison of machine learning algorithms on design smell detection using balanced and imbalanced dataset: A study of God class
Information and Software Technology, Vol. 143
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Enhancing representation in the context of multiple-channel spam filtering
Information Processing and Management, Vol. 59, Núm. 2
2021
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System for EIT reconstruction based on Machine Learning techniques
Actas de las XXV Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2021): [Málaga, 22 al 24 de septiembre de 2021]
2019
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Assessing the influence of size category of the project in god class detection, an experimental approach based on machine learning (MLA)
Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE
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Natural interaction in virtual TV sets through the synergistic operation of low-cost sensors
Universal Access in the Information Society, Vol. 18, Núm. 1, pp. 17-29
2017
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Comparative study of artificial neural network models for forecasting the indoor temperature in smart buildings
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Semantic mediation of observation datasets through Sensor Observation Services
Future Generation Computer Systems, Vol. 67, pp. 47-56