University of Granada

research

∙ 12/27/2019

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...

J M Gorriz, et al. ∙

research

∙ 04/23/2021

MULTICAST: MULTI Confirmation-level Alarm SysTem based on CNN and LSTM to mitigate false alarms for handgun detection in video-surveillance

Despite the constant advances in computer vision, integrating modern sin...

Roberto Olmos, et al. ∙

research

∙ 07/15/2020

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...

José Daniel Pascual-Triana, et al. ∙

research

∙ 04/24/2019

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...

Lucas Faria Porto, et al. ∙

research

∙ 03/05/2020

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...

Sergio González, et al. ∙

research

∙ 05/25/2021

Small and large scale critical infrastructures detection based on deep learning using high resolution orthogonal images

The detection of critical infrastructures is of high importance in sever...

Pérez-Hernández Francisco, et al. ∙

research

∙ 11/10/2017

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...

F. J. Lobillo, et al. ∙

research

∙ 10/02/2017

Remote Sensing Image Classification with Large Scale Gaussian Processes

Current remote sensing image classification problems have to deal with a...

Pablo Morales-Alvarez, et al. ∙

research

∙ 01/07/2016

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

JavaScript is an interpreted language mainly known for its inclusion in ...

Juan-J. Merelo, et al. ∙

research

∙ 11/03/2015

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 ...

Juan-J. Merelo, et al. ∙

research

∙ 06/08/2015

Microscopic approach of a time elapsed neural model

The spike trains are the main components of the information processing i...

Julien Chevallier, et al. ∙

research

∙ 02/12/2017

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 ...

Andrés Herrera-Poyatos, et al. ∙

research

∙ 11/15/2016

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

Network data mining has become an important area of study due to the lar...

Víctor Martínez, et al. ∙

research

∙ 10/13/2016

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

With the advent of extremely high dimensional datasets, dimensionality r...

Sergio Ramírez-Gallego, et al. ∙

research

∙ 07/05/2012

An experimental study of exhaustive solutions for the Mastermind puzzle

Mastermind is in essence a search problem in which a string of symbols t...

J. J. Merelo, et al. ∙

research

∙ 05/31/2011

Cloud-based Evolutionary Algorithms: An algorithmic study

After a proof of concept using Dropbox(tm), a free storage and synchroni...

Juan-J. Merelo, et al. ∙

research

∙ 01/12/2006

Automatic Detection of Trends in Dynamical Text: An Evolutionary Approach

This paper presents an evolutionary algorithm for modeling the arrival d...

Lourdes Araujo, et al. ∙

research

∙ 03/12/2014

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...

R. H. García-Ortega, et al. ∙

research

∙ 12/12/2009

Adapting Heuristic Mastermind Strategies to Evolutionary Algorithms

The art of solving the Mastermind puzzle was initiated by Donald Knuth a...

Tomas Philip Runarsson, et al. ∙

research

∙ 11/16/2011

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

3D motion tracking is a critical task in many computer vision applicatio...

Luis Quesada, et al. ∙

research

∙ 03/18/2008

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...

C. Fernandes, et al. ∙

research

∙ 11/24/2015

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...

Krzysztof Trawiński, et al. ∙

research

∙ 01/04/2018

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...

David Charte, et al. ∙

research

∙ 01/26/2018

Strong-consistent autoregressive predictors in abstract Banach spaces

This work derives new results on the strong-consistency of a componentwi...

M. D. Ruiz-Medina, et al. ∙

research

∙ 02/10/2018

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 ...

Francisco Charte, et al. ∙

research

∙ 02/14/2018

Dealing with Difficult Minority Labels in Imbalanced Mutilabel Data Sets

Multilabel classification is an emergent data mining task with a broad r...

Francisco Charte, et al. ∙

research

∙ 02/14/2018

Tackling Multilabel Imbalance through Label Decoupling and Data Resampling Hybridization

The learning from imbalanced data is a deeply studied problem in standar...

Francisco Charte, et al. ∙

research

∙ 02/20/2018

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...

Víctor Blanco, et al. ∙

research

∙ 03/01/2018

Dual skew codes from annihilators: Transpose Hamming ring extensions

In this paper a framework to study the dual of skew cyclic codes is prop...

José Gómez-Torrecillas, et al. ∙

research

∙ 03/27/2018

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...

Anabel Gómez-Ríos, et al. ∙

research

∙ 04/16/2018

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...

Sergio Ramírez-Gallego, et al. ∙

research

∙ 04/30/2018

Analytic Analysis of Narrowband IoT Coverage Enhancement Approaches

The introduction of Narrowband Internet of Things (NB-IoT) as a cellular...

Pilar Andres-Maldonado, et al. ∙

research

∙ 05/17/2018

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

Conventional image motion based structure from motion methods first comp...

Francisco Barranco, et al. ∙

research

∙ 07/08/2018

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

Clustering is crucial for many computer vision applications such as robu...

Francisco Barranco, et al. ∙

research

∙ 07/18/2018

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

We design a heuristic method, a genetic algorithm, for the computation o...

José Gómez-Torrecillas, et al. ∙

research

∙ 08/05/2018

Strongly consistent autoregressive predictors in abstract Banach spaces

This work derives new results on strong consistent estimation and predic...

MD Ruiz-Medina, et al. ∙

research

∙ 08/05/2018

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

A linear multiple regression model in function spaces is formulated, und...

M. D. Ruiz-Medina, et al. ∙

research

∙ 08/15/2018

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

New results on strong-consistency, in the Hilbert-Schmidt and trace oper...

M. D. Ruiz-Medina, et al. ∙

research

∙ 09/30/2018

Specificity measures and reference

In this paper we study empirically the validity of measures of referenti...

Albert Gatt, et al. ∙

research

∙ 10/11/2018

Bayesian neural networks increasingly sparsify their units with depth

We investigate deep Bayesian neural networks with Gaussian priors on the...

Mariia Vladimirova, et al. ∙

research

∙ 10/14/2018

DPASF: A Flink Library for Streaming Data preprocessing

Data preprocessing techniques are devoted to correct or alleviate errors...

Alejandro Alcalde-Barros, et al. ∙

research

∙ 10/22/2018

Optimal arrangements of hyperplanes for multiclass classification

In this paper, we present a novel approach to construct multiclass clasi...

Víctor Blanco, et al. ∙

research

∙ 10/21/2018

Label Noise Filtering Techniques to Improve Monotonic Classification

The monotonic ordinal classification has increased the interest of resea...

José-Ramón Cano, et al. ∙

research

∙ 10/23/2018

OCAPIS: R package for Ordinal Classification And Preprocessing In Scala

Ordinal Data are those where a natural order exist between the labels. T...

M. Cristina Heredia-Gómez, et al. ∙

research

∙ 11/17/2018

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

Currently, knowledge discovery in databases is an essential step to iden...

José-Ramón Cano, et al. ∙

research

∙ 11/29/2018

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

Machine learning is a field which studies how machines can alter and ada...

David Charte, et al. ∙

research

∙ 03/20/2019

Some remarks on non projective Frobenius algebras and linear codes

With a small suitable modification, dropping the projectivity condition,...

José Gómez-Torrecillas, et al. ∙

research

∙ 05/14/2019

Evaluation Metrics for Unsupervised Learning Algorithms

Determining the quality of the results obtained by clustering techniques...

Julio-Omar Palacio-Niño, et al. ∙

research

∙ 05/27/2019

Power laws in code repositories: A skeptical approach

Software development as done using modern methodologies and source contr...

Bartolomé Ortiz, et al. ∙

research

∙ 07/31/2019

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...

Roberto Magán-Carrión, et al. ∙

University of Granada

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