Sampling and Learning Mallows and Generalized Mallows Models Under the Cayley Distance
Authors: Ekhine Irurozki,Borja Calvo,Jose A. Lozano
The Mallows and Generalized Mallows models are compact yet powerful and natural ways of representing a probability distribution over the space of permutations. In this paper, we deal with the problems of sampling and learning such distributions when the metric on permutations is the Cayley distance…
Springer Science and Business Media LLC
A Sparse Spectral Clustering Framework via Multiobjective Evolutionary Algorithm
Authors: Juanjuan Luo,Jose A. Lozano,Licheng Jiao
This paper introduces sparse representation into spectral clustering and provides a sparse spectral clustering framework via a multiobjective evolutionary algorithm. In contrast to conventional spectral clustering, the main contribution of this paper is to construct the similarity matrix using a…
Institute of Electrical and Electronics Engineers (IEEE)
Fitting the data from embryo implantation prediction: Learning from label proportions
Authors: Jerónimo Hernández-González,María J Iñarra,Jose A. Lozano,Jose A. Lozano,Iñaki Inza,Lorena Crisol-Ortíz,María A Guembe
Machine learning techniques have been previously used to assist clinicians to select embryos for human-assisted reproduction. This work aims to show how an appropriate modeling of the problem can contribute to improve machine learning techniques for embryo selection. In this study, a dataset of…
SAGE Publications
Reliable early classification of time series based on discriminating the classes over time
Authors: Alexander Mendiburu,Usue Mori,Jose A. Lozano,Eamonn Keogh
The goal of early classification of time series is to predict the class value of a sequence early in time, when its full length is not yet available. This problem arises naturally in many contexts where the data is collected over time and the label predictions have to be made as soon as possible.…
Springer Science and Business Media LLC
A Tunable Generator of Instances of Permutation-Based Combinatorial Optimization Problems
Authors: Hernando, Leticia,Mendiburu, Alexander,Lozano, Jose A.
[EN]In this paper, we propose a tunable generator of instances of permutation-based Combinatorial Optimization Problems. Our approach is based on a probabilistic model for permutations, called the Generalized Mallows model. The generator depends on a set of parameters that permits the control of…
Institute of Electrical and Electronics Engineers (IEEE)
Potential vorticity of the south polar vortex of Venus
Authors: Ricardo Hueso,I. Garate-Lopez,Agustín Sánchez-Lavega,A. García Muñoz,A. García Muñoz
AbstractVenus' atmosphere shows highly variable warm vortices over both of the planet's poles. The nature of the mechanism behind their formation and properties is still unknown. Potential vorticity is a conserved quantity when advective processes dominate over friction and diabatic heating and is…
American Geophysical Union (AGU)
Understanding daily mobility patterns in urban road networks using traffic flow analytics
Authors: Javier Del Ser,Ibai Laña,Ignacio Olabarrieta
The MoveUs project funded by the European Commission aims to foster sustainable eco-friendly mobility habits in cities. In this context predicting the traffic flow is useful for managers to optimize the configuration of the road network towards reducing the congestions and ultimately, the pollution…
IEEE
Erantzunen kalifikazio automatikorako lehen urratsak
Authors: Agirre Bengoa, Eneko,Aldabe Arregi, Itziar,López de Lacalle Lecuona, Oier,López Gazpio, Iñigo,Maritxalar Anglada, Montse
Lan honetan erantzunen kalifikazio automatikorako lehen urratsak azaltzen ditugu. Urrats horiek azaltzeko irakaskuntzaren domeinuko bi sistema deskribatzen ditugu:bata, erantzunak hierarkikoki antolatzen eta kalifikatzen dituena; eta, bestea, kalifikazioaren azalpena emateko asmoz, erantzunaren…
UPV/EHU Press
Spatial distribution of jovian clouds, hazes and colors from Cassini ISS multi-spectral images
Authors: Agustín Sánchez-Lavega,Santiago Pérez-Hoyos,Ricardo Hueso,I. Ordonez-Etxeberria
The Cassini spacecraft made a gravity assist flyby of Jupiter in December 2000. The Imaging Science Subsystem (ISS) acquired images of the planet that covered the visual range with filters sensitive to the distribution of clouds and hazes, their altitudes and color. We use a selection of these…
Elsevier BV
Image processing applications through a variational perceptually-based color correction related to Retinex
Authors: Bertalmío,Javier Vazquez-Corral,Adrian Galdran,David Pardo,Syed Waqas Zamir,Marcelo
Comunicació presentada al IS&T International Symposium on Electronic Imaging, celebrat del 14 al 18 de febrer de 2016 a San Francisco (CA, USA) i organitzat per la Society for Imaging Science and Technology. The retinex theory of color vision has been a light of inspiration for color…
Society for Imaging Science & Technology
Estimation of the Distribution Algorithm With a Stochastic Local Search for Uncertain Capacitated Arc Routing Problems
Authors: Juan Wang,Ke Tang,Jose A. Lozano,Xin Yao
The uncertain capacitated arc routing problem is a challenging problem in which the demands of tasks, the costs of edges, and the presence of tasks and edges are uncertain. The objective of this problem is to find a robust optimal solution for a finite set of possible scenarios. In this paper, we…
Institute of Electrical and Electronics Engineers (IEEE)
Circulation detection using the electrocardiogram and the thoracic impedance acquired by defibrillation pads
Authors: Erik Alonso,Elisabete Aramendi,Mohamud Daya,Unai Irusta,Beatriz Chicote,James K. Russell,Larisa G. Tereshchenko
To develop and evaluate a method to detect circulation in the presence of organized rhythms (ORs) during resuscitation using signals acquired by defibrillation pads.Segments containing electrocardiogram (ECG) and thoracic impedance (TI) signals free of artifacts were used. The ECG corresponded to…
Elsevier BV
Estimating Attraction Basin Sizes
Authors: Alexander Mendiburu,Jose A. Lozano,Jose A. Lozano,Leticia Hernando
The performance of local search algorithms is influenced by the properties that the neighborhood imposes on the search space. Among these properties, the number of local optima has been traditionally considered as a complexity measure of the instance, and different methods for its estimation have…
Springer International Publishing
To interrupt, or not to interrupt chest compressions for ventilation: that is the question!
Authors: Unai Irusta,Elisabete Aramendi
Out-of-hospital cardiac arrest (OHCA) is one of the leading causes of death in the industrialized world, with an average global incidence of 55 cases per 100,000 person-year (1). OHCA is a major public health problem. Every 5 years leading institutions like the European Resuscitation Council (ERC)…
J Thorac Dis
Weak supervision and other non-standard classification problems: A taxonomy
Authors: Jerónimo Hernández-González,Iñaki Inza,Jose A. Lozano
A taxonomy of weakly supervised classification problems.Weak supervision in learning and prediction stages.Problem structure: instance-label relationship.Organization of the field: similarities and differences among frameworks.Revealing unexplored challenging frameworks. In recent years, different…
Elsevier BV
Intelligent SPARQL Endpoints: Optimizing Execution Performance by Automatic Query Relaxation and Queue Scheduling
Authors: Miren Nekane Bilbao,Javier Del Ser,Javier Del Ser,Ana I. Torre-Bastida,Esther Villar-Rodriguez
The Web of Data is widely considered as one of the major global repositories populated with countless interconnected and struc- tured data prompting these linked datasets to be continuously and sharply increasing. In this context the so-called SPARQL Protocol and RDF Query Language is commonly used…
Springer International Publishing
Fusion-based Variational Image Dehazing
Authors: Adrian Galdran,Javier Vazquez-Corral,David Pardo,Marcelo Bertalmio
We propose a novel image-dehazing technique based on the minimization of two energy functionals and a fusion scheme to combine the output of both optimizations. The proposed fusion-based variational image-dehazing (FVID) method is a spatially varying image enhancement process that first minimizes a…
Institute of Electrical and Electronics Engineers (IEEE)
Filtering mechanical chest compression artefacts from out-of-hospital cardiac arrest data
Authors: Elisabete Aramendi,Unai Ayala,Jo Kramer-Johansen,Trygve Eftestøl,H. Naas,Unai Irusta
Filtering techniques to remove manual compression artefacts from the ECG have not been incorporated to defibrillators to diagnose the rhythm during cardiopulmonary resuscitation. Mechanical and manual compression artefacts may be very different. The aim of this study is to characterize the…
Elsevier BV
A Note on the Boltzmann Distribution and the Linear Ordering Problem
Authors: Alexander Mendiburu,Jose A. Lozano,Jose A. Lozano,Josu Ceberio
The Boltzmann distribution plays a key role in the field of optimization as it directly connects this field with that of probability. Basically, given a function to optimize, the Boltzmann distribution associated to this function assigns higher probability to the candidate solutions with better…
Springer International Publishing
PerMallows: AnRPackage for Mallows and Generalized Mallows Models
Authors: Jose A. Lozano,Borja Calvo,Ekhine Irurozki
In this paper we present the R package PerMallows, which is a complete toolbox to work with permutations, distances and some of the most popular probability models for permutations: Mallows and the Generalized Mallows models. The Mallows model is an exponential location model, considered as…
Foundation for Open Access Statistic
Similarity Measure Selection for Clustering Time Series Databases
Authors: Jose A. Lozano,Usue Mori,Alexander Mendiburu
In the past few years, clustering has become a popular task associated with time series. The choice of a suitable distance measure is crucial to the clustering process and, given the vast number of distance measures for time series available in the literature and their diverse characteristics, this…
Institute of Electrical and Electronics Engineers (IEEE)