
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...
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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...
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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...
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Fuzzy kNearest Neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise
This paper proposes a new model based on Fuzzy kNearest Neighbors for c...
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Lattice embeddings between types of fuzzy sets. Closedvalued fuzzy sets
In this paper we deal with the problem of extending Zadeh's operators on...
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Remote Sensing Image Classification with Large Scale Gaussian Processes
Current remote sensing image classification problems have to deal with a...
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NodIO, a JavaScript framework for volunteerbased evolutionary algorithms : first results
JavaScript is an interpreted language mainly known for its inclusion in ...
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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 ...
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Microscopic approach of a time elapsed neural model
The spike trains are the main components of the information processing i...
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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 ...
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The NOESIS NetworkOriented Exploration, Simulation, and Induction System
Network data mining has become an important area of study due to the lar...
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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...
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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...
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Cloudbased Evolutionary Algorithms: An algorithmic study
After a proof of concept using Dropbox(tm), a free storage and synchroni...
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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...
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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...
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Adapting Heuristic Mastermind Strategies to Evolutionary Algorithms
The art of solving the Mastermind puzzle was initiated by Donald Knuth a...
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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...
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KohonAnts: A SelfOrganizing Ant Algorithm for Clustering and Pattern Classification
In this paper we introduce a new antbased method that takes advantage o...
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moGrams: a networkbased methodology for visualizing the set of nondominated solutions in multiobjective optimization
An appropriate visualization of multiobjective nondominated solutions i...
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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...
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Strongconsistent autoregressive predictors in abstract Banach spaces
This work derives new results on the strongconsistency of a componentwi...
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Tips, guidelines and tools for managing multilabel datasets: the mldr.datasets R package and the Cometa data repository
New proposals in the field of multilabel learning algorithms have been ...
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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...
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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...
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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...
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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...
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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...
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BELIEF: A distancebased redundancyproof feature selection method for Big Data
With the advent of Big Data era, data reduction methods are highly deman...
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Analytic Analysis of Narrowband IoT Coverage Enhancement Approaches
The introduction of Narrowband Internet of Things (NBIoT) as a cellular...
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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...
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Realtime clustering and multitarget tracking using eventbased sensors
Clustering is crucial for many computer vision applications such as robu...
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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...
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Strongly consistent autoregressive predictors in abstract Banach spaces
This work derives new results on strong consistent estimation and predic...
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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...
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A note on strongconsistency of componentwise ARH(1) predictors
New results on strongconsistency, in the HilbertSchmidt and trace oper...
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Specificity measures and reference
In this paper we study empirically the validity of measures of referenti...
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Bayesian neural networks increasingly sparsify their units with depth
We investigate deep Bayesian neural networks with Gaussian priors on the...
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DPASF: A Flink Library for Streaming Data preprocessing
Data preprocessing techniques are devoted to correct or alleviate errors...
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Optimal arrangements of hyperplanes for multiclass classification
In this paper, we present a novel approach to construct multiclass clasi...
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Label Noise Filtering Techniques to Improve Monotonic Classification
The monotonic ordinal classification has increased the interest of resea...
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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...
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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...
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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...
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Some remarks on non projective Frobenius algebras and linear codes
With a small suitable modification, dropping the projectivity condition,...
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Evaluation Metrics for Unsupervised Learning Algorithms
Determining the quality of the results obtained by clustering techniques...
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Power laws in code repositories: A skeptical approach
Software development as done using modern methodologies and source contr...
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MSNMS: An Applied Network Monitoring Tool for Anomaly Detection in Complex Networks and Systems
Technology evolves quickly. Low cost and readytoconnect devices are de...
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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...
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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...
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University of Granada
The University of Granada is a public university located in the city of Granada, Spain, and founded in 1531 by Emperor Charles V.