University of Granada

∙ Granada , Spain ∙ 0 followers

The University of Granada is a public university located in the city of Granada, Spain, and founded in 1531 by Emperor Charles V.

Statistical Agnostic Mapping: a Framework in Neuroimaging based on Concentration Inequalities

In the 70s a novel branch of statistics emerged focusing its effort in s...
12/27/2019 ∙ by J M Gorriz, et al. ∙ 33 ∙ share

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Revisiting Data Complexity Metrics Based on Morphology for Overlap and Imbalance: Snapshot, New Overlap Number of Balls Metrics and Singular Problems Prospect

Data Science and Machine Learning have become fundamental assets for com...
07/15/2020 ∙ by José Daniel Pascual-Triana, et al. ∙ 13 ∙ share

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Automatic cephalometric landmarks detection on frontal faces: an approach based on supervised learning techniques

Facial landmarks are employed in many research areas such as facial reco...
04/24/2019 ∙ by Lucas Faria Porto, et al. ∙ 6 ∙ share

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Fuzzy k-Nearest Neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise

This paper proposes a new model based on Fuzzy k-Nearest Neighbors for c...
03/05/2020 ∙ by Sergio González, et al. ∙ 5 ∙ share

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Lattice embeddings between types of fuzzy sets. Closed-valued fuzzy sets

In this paper we deal with the problem of extending Zadeh's operators on...
11/10/2017 ∙ by F. J. Lobillo, et al. ∙ 0 ∙ share

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Remote Sensing Image Classification with Large Scale Gaussian Processes

Current remote sensing image classification problems have to deal with a...
10/02/2017 ∙ by Pablo Morales-Alvarez, et al. ∙ 0 ∙ share

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NodIO, a JavaScript framework for volunteer-based evolutionary algorithms : first results

JavaScript is an interpreted language mainly known for its inclusion in ...
01/07/2016 ∙ by Juan-J. Merelo, et al. ∙ 0 ∙ share

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There is no fast lunch: an examination of the running speed of evolutionary algorithms in several languages

It is quite usual when an evolutionary algorithm tool or library uses a ...
11/03/2015 ∙ by Juan-J. Merelo, et al. ∙ 0 ∙ share

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Microscopic approach of a time elapsed neural model

The spike trains are the main components of the information processing i...
06/08/2015 ∙ by Julien Chevallier, et al. ∙ 0 ∙ share

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Genetic and Memetic Algorithm with Diversity Equilibrium based on Greedy Diversification

The lack of diversity in a genetic algorithm's population may lead to a ...
02/12/2017 ∙ by Andrés Herrera-Poyatos, et al. ∙ 0 ∙ share

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The NOESIS Network-Oriented Exploration, Simulation, and Induction System

Network data mining has become an important area of study due to the lar...
11/15/2016 ∙ by Víctor Martínez, et al. ∙ 0 ∙ share

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An Information Theoretic Feature Selection Framework for Big Data under Apache Spark

With the advent of extremely high dimensional datasets, dimensionality r...
10/13/2016 ∙ by Sergio Ramírez-Gallego, et al. ∙ 0 ∙ share

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An experimental study of exhaustive solutions for the Mastermind puzzle

Mastermind is in essence a search problem in which a string of symbols t...
07/05/2012 ∙ by J. J. Merelo, et al. ∙ 0 ∙ share

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Cloud-based Evolutionary Algorithms: An algorithmic study

After a proof of concept using Dropbox(tm), a free storage and synchroni...
05/31/2011 ∙ by Juan-J. Merelo, et al. ∙ 0 ∙ share

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Automatic Detection of Trends in Dynamical Text: An Evolutionary Approach

This paper presents an evolutionary algorithm for modeling the arrival d...
01/12/2006 ∙ by Lourdes Araujo, et al. ∙ 0 ∙ share

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Emerging archetypes in massive artificial societies for literary purposes using genetic algorithms

The creation of fictional stories is a very complex task that usually im...
03/12/2014 ∙ by R. H. García-Ortega, et al. ∙ 0 ∙ share

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Adapting Heuristic Mastermind Strategies to Evolutionary Algorithms

The art of solving the Mastermind puzzle was initiated by Donald Knuth a...
12/12/2009 ∙ by Tomas Philip Runarsson, et al. ∙ 0 ∙ share

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The Object Projection Feature Estimation Problem in Unsupervised Markerless 3D Motion Tracking

3D motion tracking is a critical task in many computer vision applicatio...
11/16/2011 ∙ by Luis Quesada, et al. ∙ 0 ∙ share

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KohonAnts: A Self-Organizing Ant Algorithm for Clustering and Pattern Classification

In this paper we introduce a new ant-based method that takes advantage o...
03/18/2008 ∙ by C. Fernandes, et al. ∙ 0 ∙ share

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moGrams: a network-based methodology for visualizing the set of non-dominated solutions in multiobjective optimization

An appropriate visualization of multiobjective non-dominated solutions i...
11/24/2015 ∙ by Krzysztof Trawiński, et al. ∙ 0 ∙ share

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A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines

Many of the existing machine learning algorithms, both supervised and un...
01/04/2018 ∙ by David Charte, et al. ∙ 0 ∙ share

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Strong-consistent autoregressive predictors in abstract Banach spaces

This work derives new results on the strong-consistency of a componentwi...
01/26/2018 ∙ by M. D. Ruiz-Medina, et al. ∙ 0 ∙ share

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Tips, guidelines and tools for managing multi-label datasets: the mldr.datasets R package and the Cometa data repository

New proposals in the field of multi-label learning algorithms have been ...
02/10/2018 ∙ by Francisco Charte, et al. ∙ 0 ∙ share

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Dealing with Difficult Minority Labels in Imbalanced Mutilabel Data Sets

Multilabel classification is an emergent data mining task with a broad r...
02/14/2018 ∙ by Francisco Charte, et al. ∙ 0 ∙ share

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Tackling Multilabel Imbalance through Label Decoupling and Data Resampling Hybridization

The learning from imbalanced data is a deeply studied problem in standar...
02/14/2018 ∙ by Francisco Charte, et al. ∙ 0 ∙ share

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A multicriteria selection system based on player performance. Case study: The Spanish ACB Basketball League

In this paper, we describe an approach to rank sport players based on th...
02/20/2018 ∙ by Víctor Blanco, et al. ∙ 0 ∙ share

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Dual skew codes from annihilators: Transpose Hamming ring extensions

In this paper a framework to study the dual of skew cyclic codes is prop...
03/01/2018 ∙ by José Gómez-Torrecillas, et al. ∙ 0 ∙ share

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Towards Highly Accurate Coral Texture Images Classification Using Deep Convolutional Neural Networks and Data Augmentation

The recognition of coral species based on underwater texture images pose...
03/27/2018 ∙ by Anabel Gómez-Ríos, et al. ∙ 0 ∙ share

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BELIEF: A distance-based redundancy-proof feature selection method for Big Data

With the advent of Big Data era, data reduction methods are highly deman...
04/16/2018 ∙ by Sergio Ramírez-Gallego, et al. ∙ 0 ∙ share

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Analytic Analysis of Narrowband IoT Coverage Enhancement Approaches

The introduction of Narrowband Internet of Things (NB-IoT) as a cellular...
04/30/2018 ∙ by Pilar Andres-Maldonado, et al. ∙ 0 ∙ share

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Joint direct estimation of 3D geometry and 3D motion using spatio temporal gradients

Conventional image motion based structure from motion methods first comp...
05/17/2018 ∙ by Francisco Barranco, et al. ∙ 0 ∙ share

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Real-time clustering and multi-target tracking using event-based sensors

Clustering is crucial for many computer vision applications such as robu...
07/08/2018 ∙ by Francisco Barranco, et al. ∙ 0 ∙ share

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Minimum distance computation of linear codes via genetic algorithms with permutation encoding

We design a heuristic method, a genetic algorithm, for the computation o...
07/18/2018 ∙ by José Gómez-Torrecillas, et al. ∙ 0 ∙ share

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Strongly consistent autoregressive predictors in abstract Banach spaces

This work derives new results on strong consistent estimation and predic...
08/05/2018 ∙ by MD Ruiz-Medina, et al. ∙ 0 ∙ share

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Dynamical multiple regression in function spaces, under kernel regressors, with ARH(1) errors

A linear multiple regression model in function spaces is formulated, und...
08/05/2018 ∙ by M. D. Ruiz-Medina, et al. ∙ 0 ∙ share

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A note on strong-consistency of componentwise ARH(1) predictors

New results on strong-consistency, in the Hilbert-Schmidt and trace oper...
08/15/2018 ∙ by M. D. Ruiz-Medina, et al. ∙ 0 ∙ share

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Specificity measures and reference

In this paper we study empirically the validity of measures of referenti...
09/30/2018 ∙ by Albert Gatt, et al. ∙ 0 ∙ share

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Bayesian neural networks increasingly sparsify their units with depth

We investigate deep Bayesian neural networks with Gaussian priors on the...
10/11/2018 ∙ by Mariia Vladimirova, et al. ∙ 0 ∙ share

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DPASF: A Flink Library for Streaming Data preprocessing

Data preprocessing techniques are devoted to correct or alleviate errors...
10/14/2018 ∙ by Alejandro Alcalde-Barros, et al. ∙ 0 ∙ share

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Optimal arrangements of hyperplanes for multiclass classification

In this paper, we present a novel approach to construct multiclass clasi...
10/22/2018 ∙ by Víctor Blanco, et al. ∙ 0 ∙ share

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Label Noise Filtering Techniques to Improve Monotonic Classification

The monotonic ordinal classification has increased the interest of resea...
10/21/2018 ∙ by José-Ramón Cano, et al. ∙ 0 ∙ share

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OCAPIS: R package for Ordinal Classification And Preprocessing In Scala

Ordinal Data are those where a natural order exist between the labels. T...
10/23/2018 ∙ by M. Cristina Heredia-Gómez, et al. ∙ 0 ∙ share

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Monotonic classification: an overview on algorithms, performance measures and data sets

Currently, knowledge discovery in databases is an essential step to iden...
11/17/2018 ∙ by José-Ramón Cano, et al. ∙ 0 ∙ share

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A snapshot on nonstandard supervised learning problems: taxonomy, relationships and methods

Machine learning is a field which studies how machines can alter and ada...
11/29/2018 ∙ by David Charte, et al. ∙ 0 ∙ share

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Some remarks on non projective Frobenius algebras and linear codes

With a small suitable modification, dropping the projectivity condition,...
03/20/2019 ∙ by José Gómez-Torrecillas, et al. ∙ 0 ∙ share

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Evaluation Metrics for Unsupervised Learning Algorithms

Determining the quality of the results obtained by clustering techniques...
05/14/2019 ∙ by Julio-Omar Palacio-Niño, et al. ∙ 0 ∙ share

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Power laws in code repositories: A skeptical approach

Software development as done using modern methodologies and source contr...
05/27/2019 ∙ by Bartolomé Ortiz, et al. ∙ 0 ∙ share

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MSNM-S: An Applied Network Monitoring Tool for Anomaly Detection in Complex Networks and Systems

Technology evolves quickly. Low cost and ready-to-connect devices are de...
07/31/2019 ∙ by Roberto Magán-Carrión, et al. ∙ 0 ∙ share

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Using the Generalized Collage Theorem for Estimating Unknown Parameters in Perturbed Mixed Variational Equations

The use of mixed variational formulations in mathematical modeling, as w...
09/29/2019 ∙ by A. I. Garralda-Guillem, et al. ∙ 0 ∙ share

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Smart Data based Ensemble for Imbalanced Big Data Classification

Big Data scenarios pose a new challenge to traditional data mining algor...
01/16/2020 ∙ by Diego García-Gil, et al. ∙ 0 ∙ share

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