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Equilibrating the recognition of the minority Class in the imbalance context
(Naturals Publishing, 2014-01)
In pattern recognition, it is well known that the classifier performance depends on the classification rule and the complexities
presented in the data sets (such as class overlapping, class imbalance, outliers, high-dimensional ...
Automatic terrain generation with a sketching tool
(Springer, 2014)
Nowadays, applications such as scientific simulations, virtual reality or computer games are increasing the detail of their environments with the aim of offering more realism. Terrain is a very important element in these ...
Simplification method for textured polygonal meshes based on structural appearance
(Springer-Verlag, 2013-05)
This paper proposes an image-based simplification method for textured triangle meshes that preserves the structural appearance of textured models. Models used in interactive applications are usually composed of textured ...
A scoping review on the use, processing, and fusion of geographic data in virtual assistants
(Wiley, 2021)
Virtual assistants are a growing area of research in academia and industry with an impact on people’s daily life. Many disciplines in science are moving towards the incorporation of intelligent virtual ...
Multimodal Sensor Data Integration for Indoor Positioning in Ambient-Assisted Living Environments
(Hindawi, 2020)
A reliable Indoor Positioning System (IPS) is a crucial part of the Ambient-Assisted Living (AAL) concept. The use of Wi-Fi fingerprinting techniques to determine the location of the user, based on the Received Signal ...
Computational uncertainty quantification for random time‐discrete epidemiological models using adaptive gPC
(John Wiley & Sons, Ltd., 2018-10-22)
Population dynamics models consisting of nonlinear difference equations allow us to get a better understanding of theprocesses involved in epidemiology. Usually, these mathematical models are studied under a deterministic ...
A New Under-Sampling Method to Face Class Overlap and Imbalance
(MDPI, 2020-07-07)
Class overlap and class imbalance are two data complexities that challenge the design of effective classifiers in Pattern Recognition and Data Mining as they may cause a significant loss in performance. Several solutions ...
Extrinsic isoperimetry and compactification of minimal surfaces in Euclidean and hyperbolic spaces
(© Springer, Part of Springer Science+Business Media, 2013)
We study the topology of (properly) immersed complete minimal surfaces P 2 in Hyperbolic and Euclidean spaces which have finite total extrinsic curvature, using some isoperimetric inequalities satisfied by the extrinsic ...
Gait-based Gender Classification Considering Resampling and Feature Selection
(Engineering and Technology Publishing, 2013-06)
Two intrinsic data characteristics that arise in many domains are the class imbalance and the high dimensionality, which pose new challenges that should be addressed. When using gait for gender classification, benchmarking ...
Random non-autonomous second order linear differential equations: mean square analytic solutions and their statistical properties
(Springer, 2018-10-24)
In this paper we study random non-autonomous second order linear differential
equations by taking advantage of the powerful theory of random difference
equations. The coefficients are assumed to be stochastic processes, ...