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One-class land-cover classification using MaxEnt: the effect of modelling parameterization on classification accuracy
(PEERJ INC, 2019)
Multiple-class land-cover classification approaches can be inefficient when the main goal is to classify only one or a few classes. Under this scenario one-class classification algorithms could be a more efficient alternative. ...
Eigenvalue problems, spectral parameter power series, and modern applications
(John Wiley and Sons, 2015)
Clasificación jerárquica multidimensional
(Instituto Nacional de Astrofísica, Óptica y Electrónica, 2012)
Hierarchical multi-label classification using local neural networks
(ElsevierAcademic PressSan Diego, 2014-02)
Hierarchical multi-label classification is a complex classification task where the classes involved in the problem are hierarchically structured and each example may simultaneously belong to more than one class in each ...
Sequential Bayesian Experimental Design for Process Optimization with Stochastic Binary Outcomes
(Elsevier B.V., 2018-01)
For innovative products, the issue of reproducibly obtaining their desired end-use properties at industrial scale is the main problem to be addressed and solved in process development. Lacking a reliable first-principles ...
Neural network method for failure detection with skewed class distribution
(BRITISH INST NON-DESTRUCTIVE TESTING, 2004)
The automatic detection of flaws through non-destructive testing uses pattern recognition methodology with binary classification. In this problem a decision is made about whether or not an initially segmented hypothetical ...
Computer generated holograms applied to optical tweezers
(Instituto Nacional de Astrofísica, Óptica y Electrónica, 2009)
Nuevos métodos de selección de objetos y su aplicación sinérgica
(Instituto Nacional de Astrofísica, Óptica y Electrónica, 2007)
One-class models for validation of miRNAs and ERBB2 gene interactions based on sequence features for breast cancer scenarios
(Korean Institute of Communication SciencesKR, 2021)
One challenge in miRNA–genes–diseases interaction studies is that it is challenging to find labeled data that indicate a positive or negative relationship between miRNA and genes. The use of one-class classification methods ...