Modelado Inteligente de Sistemas
TEP024
Universidad de Málaga
Málaga, EspañaPublicaciones en colaboración con investigadores/as de Universidad de Málaga (46)
2023
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Clinical Text Classification in Cancer Real-World Data in Spanish
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Editorial of the Special Issue Intelligent Solutions for Efficient Logistics and Sustainable Transportation
Applied Soft Computing
2021
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Deep neural networks architecture driven by problem-specific information
Neural Computing and Applications, Vol. 33, Núm. 15, pp. 9403-9423
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Machine learning and natural language processing (NLP) approach to predict early progression to first-line treatment in real-world hormone receptor-positive (HR+)/HER2-negative advanced breast cancer patients
European Journal of Cancer, Vol. 144, pp. 224-231
2020
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Combining feature engineering and feature selection to improve the prediction of methionine oxidation sites in proteins
Neural Computing and Applications, Vol. 32, Núm. 2, pp. 323-334
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Improving learning and generalization capabilities of the C-Mantec constructive neural network algorithm
Neural Computing and Applications, Vol. 32, Núm. 13, pp. 8955-8963
2019
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Spatial and meteorological relevance in NO 2 estimations: a case study in the Bay of Algeciras (Spain)
Stochastic Environmental Research and Risk Assessment, Vol. 33, Núm. 3, pp. 801-815
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Addition of Pathway-Based Information to Improve Predictions in Transcriptomics
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Estimation of NO2 concentration values in a monitoring sensor network using a fusion approach
Fresenius Environmental Bulletin, Vol. 28, Núm. 2, pp. 681-686
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Forward Noise Adjustment Scheme for Data Augmentation
Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018
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MetODeep: A Deep Learning Approach for Prediction of Methionine Oxidation Sites in Proteins
Proceedings of the International Joint Conference on Neural Networks
2018
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BLASSO: Integration of biological knowledge into a regularized linear model
BMC Systems Biology, Vol. 12
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Classification of high dimensional data using LASSO ensembles
2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings
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Data dimension and structure effects in predictive performance of deep neural networks
Frontiers in Artificial Intelligence and Applications
2017
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Deep learning to analyze RNA-Seq gene expression data
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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L1-regularization model enriched with biological knowledge
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Machine learning models to search relevant genetic signatures in clinical context
Proceedings of the International Joint Conference on Neural Networks
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Prediction of carbon monoxide (CO) atmospheric pollution concentrations using meterological variables
WIT Transactions on Ecology and the Environment, Vol. 211, pp. 137-145
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Solving scheduling problems with genetic algorithms using a priority encoding scheme
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 10305 LNCS, pp. 52-61
2016
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Advanced online survival analysis tool for predictive modelling in clinical data science
PLoS ONE, Vol. 11, Núm. 8