Aníbal Ramón
Figueiras Vidal
Publikationen, an denen er mitarbeitet Aníbal Ramón Figueiras Vidal (27)
2022
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Double-Layer Stacked Denoising Autoencoders for Regression
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2021
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Complete Stacked Denoising Auto-Encoders for Regression
Neural Processing Letters, Vol. 53, Núm. 1, pp. 787-797
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Complete autoencoders for classification with missing values
Neural Computing and Applications, Vol. 33, Núm. 6, pp. 1951-1957
2020
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Designing non-linear minimax and related discriminants by disjoint tangent configurations applied to RBF networks
Neurocomputing, Vol. 383, pp. 106-112
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Improving deep learning performance with missing values via deletion and compensation
Neural Computing and Applications, Vol. 32, Núm. 17, pp. 13233-13244
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MNIST-NET10: A heterogeneous deep networks fusion based on the degree of certainty to reach 0.1% error rate. ensembles overview and proposal
Information Fusion, Vol. 62, pp. 73-80
2019
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Exploiting label information to improve auto-encoding based classifiers
Neurocomputing, Vol. 370, pp. 104-108
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Machine-Health Application Based on Machine Learning Techniques for Prediction of Valve Wear in a Manufacturing Plant
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Machine-health application based on machine learning techniques for prediction of valve wear in a manufacturing plant
From Bioinspired Systems and Biomedical Applications to Machine Learning: 8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019, Almería, Spain, June 3–7, 2019, Proceedings, Part II (Springer Suiza), pp. 389-398
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On improving CNNs performance: The case of MNIST
Information Fusion
2018
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Linear discriminants described by disjoint tangent configurations
Neurocomputing, Vol. 316, pp. 345-356
2017
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Values deletion to improve deep imputation processes
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2013
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Classifying patterns with missing values using Multi-Task Learning perceptrons
Expert Systems with Applications, Vol. 40, Núm. 4, pp. 1333-1341
2010
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Pattern classification with missing data: A review
Neural Computing and Applications, Vol. 19, Núm. 2, pp. 263-282
2009
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Classification with incomplete data
Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques (IGI Global), pp. 147-175
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Combining missing data imputation and pattern classification in a multi-layer perceptron
Intelligent Automation and Soft Computing, Vol. 15, Núm. 4, pp. 539-553
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K nearest neighbours with mutual information for simultaneous classification and missing data imputation
Neurocomputing, Vol. 72, Núm. 7-9, pp. 1483-1493
2008
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A robust approach for classifying unknown data in medical diagnosis problems
2008 World Automation Congress, WAC 2008
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Incomplete pattern classification using a multi-task approach
WMSCI 2008 - The 12th World Multi-Conference on Systemics, Cybernetics and Informatics, Jointly with the 14th International Conference on Information Systems Analysis and Synthesis, ISAS 2008 - Proc.
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K-nearest neighbours based on mutual information for incomplete data classification
ESANN 2008 Proceedings, 16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning