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Aggregated outputs by linear models: An application on marine litter beaching prediction.

J. Hernández-González, I. Inza, I. Granado, O. Basurko, J. Fernandes, and J. Lozano. Inf. Sci., (2019)

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Editorial.P. Larrañaga, J. Lozano, J. Peña, and I. Inza. Machine Learning, 59 (3): 211-212 (2005)Feature Weighting for Nearest Neighbor by Estimation of Distribution Algorithms.I. Inza, P. Larrañaga, and B. Sierra. Estimation of Distribution Algorithms, Springer, (2002)Semisupervised Multiclass Classification Problems With Scarcity of Labeled Data: A Theoretical Study.J. Ortigosa-Hernández, I. Inza, and J. Lozano. IEEE Trans. Neural Netw. Learning Syst., 27 (12): 2602-2614 (2016)Gene Selection For Cancer Classification Using Wrapper Approaches.R. Blanco, P. Larrañaga, I. Inza, and B. Sierra. IJPRAI, 18 (8): 1373-1390 (2004)Peakbin Selection in Mass Spectrometry Data Using a Consensus Approach with Estimation of Distribution Algorithms.R. Armañanzas, Y. Saeys, I. Inza, M. García-Torres, C. Bielza, Y. de Peer, and P. Larrañaga. IEEE/ACM Trans. Comput. Biology Bioinform., 8 (3): 760-774 (2011)Approaching Sentiment Analysis by using semi-supervised learning of multi-dimensional classifiers.J. Ortigosa-Hernández, J. Rodríguez, L. Alzate, M. Lucania, I. Inza, and J. Lozano. Neurocomputing, (2012)Supervised classification with conditional Gaussian networks: Increasing the structure complexity from naive Bayes.A. Martínez, P. Larrañaga, and I. Inza. Int. J. Approx. Reasoning, 43 (1): 1-25 (2006)Bayesian classifiers based on kernel density estimation: Flexible classifiers.A. Martínez, P. Larrañaga, and I. Inza. Int. J. Approx. Reasoning, 50 (2): 341-362 (2009)Representing the behaviour of supervised classification learning algorithms by Bayesian networks.I. Inza, P. Larrañaga, B. Sierra, R. Etxeberria, J. Lozano, and J. Peña. Pattern Recognition Letters, 20 (11-13): 1201-1209 (1999)Feature Subset Selection Using Probabilistic Tree Structures. A Case Study in the Survival of Cirrhotic Patients Treated with TIPS.I. Inza, M. Merino, P. Larrañaga, J. Quiroga, B. Sierra, and M. Girala. ISMDA, volume 1933 of Lecture Notes in Computer Science, page 97-110. Springer, (2000)

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Aggregated outputs by linear models: An application on marine litter beaching prediction.

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Aggregated outputs by linear models: An application on marine litter beaching prediction.