Publications

Nature-inspired metaheuristics for optimizing information dissemination in vehicular networks
Authors: Antonio D. Masegosa,Eneko Osaba,Juan S. Angarita-Zapata,Ibai Laña,Javier Del Ser
Connected vehicles are revolutionizing the way in which transport and mobility are conceived. The main technology behind is the so-called Vehicular Ad-Hoc Networks (VANETs), which are communication networks that connect vehicles and facilitate various services. Usually these services require a… ACM

A Dialogue-Act Taxonomy for a Virtual Coach Designed to Improve the Life of Elderly
Authors: César Montenegro,Asier López Zorrilla,Javier Mikel Olaso,Roberto Santana,Raquel Justo,Jose A. Lozano,María Inés Torres
This paper presents a dialogue act taxonomy designed for the development of a conversational agent for elderly. The main goal of this conversational agent is to improve life quality of the user by means of coaching sessions in different topics. In contrast to other approaches such as task-oriented… MDPI AG

A Hardy-type inequality and some spectral characterizations for the Dirac–Coulomb operator
Authors: Fabio Pizzichillo,Biagio Cassano,Luis Vega,Luis Vega
We prove a sharp Hardy-type inequality for the Dirac operator. We exploit this inequality to obtain spectral properties of the Dirac operator perturbed with Hermitian matrix-valued potentials $\mathbf V$ of Coulomb type: we characterise its eigenvalues in terms of the Birman-Schwinger principle and… Springer Science and Business Media LLC

ECG-based Random Forest Classifier for Cardiac Arrest Rhythms
Authors: Elisabete Aramendi,Iraia Isasi,Mikel Olabarria,Javier Del Ser,Carlos Corcuera,Andima Larrea,Unai Irusta,Eric L. Manibardo,Jose Veintemillas
Rhythm annotation of out-of-hospital cardiac episodes (OHCA) is key for a better understanding of the interplay between resuscitation therapy and OHCA patient outcome. OHCA rhythms are classified in five categories, asystole (AS), pulseless electrical activity (PEA), pulsed rhythms (PR),… IEEE

Impedance Based Automatic Detection of Ventilations During Mechanical Cardiopulmonary Resuscitation
Authors: Pamela Owens,Henry E. Wang,Elisabete Aramendi,Unai Irusta,Xabier Jaureguibeitia,Erik Alonso,Ahamed H. Idris
Monitoring ventilation rate is key to improve the quality of cardiopulmonary resuscitation (CPR) and increase the probability of survival in the event of an out-of-hospital cardiac arrest (OHCA). Ventilations produce discernible fluctuations in the thoracic impedance signal recorded by… IEEE

Convolutional Recurrent Neural Networks to Characterize the Circulation Component in the Thoracic Impedance during Out-of-Hospital Cardiac Arrest
Authors: Iraia Isasi,Elisabete Aramendi,Unai Irusta,Erik Alonso,Ahamed H. Idris,Andoni Elola,Artzai Picon
Pulse detection during out-of-hospital cardiac arrest remains challenging for both novel and expert rescuers because current methods are inaccurate and time-consuming. There is still a need to develop automatic methods for pulse detection, where the most challenging scenario is the discrimination… IEEE

A Robust Machine Learning Architecture for a Reliable ECG Rhythm Analysis during CPR
Authors: Jo Kramer-Johansen,Andoni Elola,Iraia Isasi,Trygve Eftestøl,Lars Wik,Elisabete Aramendi,Unai Irusta
Chest compressions delivered during cardiopulmonary resuscitation (CPR) induce artifacts in the ECG that may make the shock advice algorithms (SAA) of defibrillators inaccurate. There is evidence that methods consisting of adaptive filters that remove the CPR artifact followed by machine learning (… IEEE

The EMPATHIC project
Authors: Torres M. I.,Olaso J. M.,Montenegro C.,Santana R.,Vazquez A.,Justo R.,Lozano J. A.,Esposito A.,Cordasco G.,Troncone A.,Escalera S.,Palmero Cantarino C.,Schlogl S.,Petrovska-Delacretaz D.,Mtibaa A.,Hmani M. A.,Deroo O.,Gordeeva O.,Chollet G.,Dugan N.,…
The goal of active aging is to promote changes in the elderly community so as to maintain an active, independent and socially-engaged lifestyle. Technological advancements currently provide the necessary tools to foster and monitor such processes. This paper reports on mid-term achievements of the… ACM

Data generation approaches for topic classification in multilingual spoken dialog systems
Authors: Montenegro, C.,Santana, R.,Lozano, J. A.
The conception of spoken-dialog systems (SDS) usually faces the problem of extending or adapting the system to multiple languages. This implies the creation of modules specically for the new languages, which is a time consuming process. In this paper, we propose two methods to reduce the time… ACM

Hybrid Heuristics for the Linear Ordering Problem
Authors: Garcia, E.,Ceberio, J.,Lozano, J.A.
The linear ordering problem (LOP) is one of the classical NP-Hard combinatorial optimization problems. Motivated by the difficulty of solving it up to optimality, in recent decades a great number of heuristic and meta-heuristic algorithms have been proposed. Despite the continuous work on this… IEEE

Multi-Objectivising Combinatorial Optimisation Problems by Means of Elementary Landscape Decompositions
Authors: Ceberio, J.,Calvo, B.,Mendiburu, A.,Lozano, J.A.
In the last decade, many works in combinatorial optimisation have shown that, due to the advances in multi-objective optimisation, the algorithms from this field could be used for solving single-objective problems as well. In this sense, a number of papers have proposed multi-objectivising single-… MIT Press - Journals

Bio-inspired optimization for the molecular docking problem: State of the art, recent results and perspectives
Authors: José García-Nieto,Esteban López-Camacho,Javier Del Ser,Javier Del Ser,Antonio J. Nebro,José F. Aldana-Montes,María Jesús García-Godoy
Molecular docking is a Bioinformatics method based on predicting the position and orientation of a small molecule or ligand when it is bound to a target macromolecule. This method can be modeled as an optimization problem where one or more objectives can be defined, typically around an… Elsevier BV

Return, Diversification and Risk in Cryptocurrency Portfolios using Deep Recurrent Neural Networks and Multi-Objective Evolutionary Algorithms
Authors: Estalayo, Ismael,Ser, Javier Del,Osaba, Eneko,Bilbao, Miren Nekane,Muhammad, Khan,Galvez, Akemi,Iglesias, Andres
Nowadays the widespread adoption of cryptocurrencies (also referred to as Altcoins) has universalized the access of the society to trading opportunities in alternative markets, thereby laying a rich substrate for the development of new applications and services aimed at easing the management of… IEEE

Hybrid Modified Firefly Algorithm for Border Detection of Skin Lesions in Medical Imaging
Authors: Galvez, Akemi,Fister, Iztok,Osaba, Eneko,Fister, Iztok,Del Ser, Javier,Iglesias, Andres
Computerized analysis of skin lesions is an important issue in information retrieval for medical imaging, as it helps human specialists to improve their decision-making for prompt and accurate diagnosis of melanoma and other skin diseases. A relevant task in this regard is border detection, which… IEEE

Cooperative game concepts in solving global optimization
Authors: Fister, Iztok,Iglesias, Andres,Galvez, Akemi,Ser, Javier Del,Osaba, Eneko,Fister, Iztok
Nowadays, cooperative game theory has been applied to many domains of human activities. In this study, the cooperative game concept needed for calculating Shapley value is used in solving global optimization. Precisely, the marginal contribution that an agent carries by joining a coalition is… IEEE

Analyze, Sense, Preprocess, Predict, Implement, and Deploy (ASPPID): An incremental methodology based on data analytics for cost-efficiently monitoring the industry 4.0
Authors: Javier Del Ser,Javier Del Ser,Francisco Herrera,Urko Zurutuza,Jesus Para,Antonio J. Nebro
Abstract Industry 4.0 is revolutionizing decision making processes within the manufacturing industry. Among the technological portfolio enabling this revolution, the late literature has capitalized on the potential of data analytics for improving the production cycle at different stages, from… Elsevier BV

A Machine Learning Shock Decision Algorithm for Use During Piston-Driven Chest Compressions
Authors: Iraia Isasi,Unai Irusta,Andoni Elola,Elisabete Aramendi,Unai Ayala,Erik Alonso,Jo Kramer-Johansen,Trygve Eftestol
Accurate shock decision methods during piston-driven cardiopulmonary resuscitation (CPR) would contribute to improve therapy and increase cardiac arrest survival rates. The best current methods are computationally demanding, and their accuracy could be improved. The objective of this work was to… Institute of Electrical and Electronics Engineers (IEEE)

Transthoracic Impedance Measured with Defibrillator Pads—New Interpretations of Signal Change Induced by Ventilations
Authors: Per Olav Berve,Unai Irusta,Jo Kramer-Johansen,Tore Skålhegg,Håvard Wahl Kongsgård,Cathrine Brunborg,Elisabete Aramendi,Lars Wik
Compressions during the insufflation phase of ventilations may cause severe pulmonary injury during cardiopulmonary resuscitation (CPR). Transthoracic impedance (TTI) could be used to evaluate how chest compressions are aligned with ventilations if the insufflation phase could be identified in the… MDPI AG

Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia
Authors: Jo Kramer-Johansen,Carlos Figuera,Carlos Figuera,Elisabete Aramendi,Aitor Alvarez-Gila,Lars Wik,Estibaliz Garrote,Trygve Eftestøl,Unai Irusta,Unai Ayala,Felipe Alonso-Atienza,Felipe Alonso-Atienza,Artzai Picon
Early defibrillation by an automated external defibrillator (AED) is key for the survival of out-of-hospital cardiac arrest (OHCA) patients. ECG feature extraction and machine learning have been successfully used to detect ventricular fibrillation (VF) in AED shock decision algorithms. Recently,… Public Library of Science (PLoS)

Value of capnography to predict defibrillation success in out-of-hospital cardiac arrest
Authors: Beatriz Chicote,Elisabete Aramendi,Unai Irusta,Pamela Owens,Mohamud Daya,Ahamed Idris
Unsuccessful defibrillation shocks adversely affect survival from out-of-hospital cardiac arrest (OHCA). Ventricular fibrillation (VF) waveform analysis is the tool-of-choice for the non-invasive prediction of shock success, but surrogate markers of perfusion like end-tidal CO2 (EtCO2) could… Elsevier BV

Parallel Refined Isogeometric Analysis in 3D
Authors: Leszek Siwik,Maciej Wozniak,Victor Trujillo,David Pardo,Victor Manuel Calo,Maciej Paszynski
We study three-dimensional isogeometric analysis (IGA) and the solution of the resulting system of linear equations via a direct solver. IGA uses highly continuous $C^{p-1}$ basis functions, which provide multiple benefits in terms of stability and convergence properties. However, smooth basis… Institute of Electrical and Electronics Engineers (IEEE)

Aggregated outputs by linear models: An application on marine litter beaching prediction
Authors: Jose A. Lozano,Jose A. Lozano,Jerónimo Hernández-González,Iñaki Inza,Oihane C. Basurko,Jose A. Fernandes,Igor Granado
In regression, a predictive model which is able to anticipate the output of a new case is learnt from a set of previous examples. The output or response value of these examples used for model training is known. When learning with aggregated outputs, the examples available for model training are… Elsevier BV

Mallows and generalized Mallows model for matchings
Authors: Irurozki, Ekhine,Calvo, Borja,Lozano, Jose A.
The Mallows and Generalized Mallows Models are two of the most popular probability models for distribu- tions on permutations. In this paper, we consider both models under the Hamming distance. This models can be seen as models for matchings instead of models for rankings. These models cannot be… Bernoulli Society for Mathematical Statistics and Probability

Anxiety and depressive symptoms are related to core symptoms, general health outcome, and medical comorbidities in eating disorders
Authors: Ane Loroño,Angel Padierna,José M. Quintana,Inmaculada Arostegui,Inmaculada Arostegui,Josune Martín,Josu Najera-Zuloaga
AbstractObjectiveThe goal of this study is to identify potential factors that have a significant effect on anxiety and depression of patients with eating disorders (ED) using the beta‐binomial regression (BBR) approach on a broad sample of patients.MethodThis cross‐sectional study involved 520 ED… Wiley

A Computer Application to Predict Adverse Events in the Short-Term Evolution of Patients With Exacerbation of Chronic Obstructive Pulmonary Disease
Authors: Arostegui, I.,Legarreta Maria, J.,Barrio, I.,Esteban, C.,Garcia-Gutierrez, S.,Quintana, J.M.,IRYSS-COPD Group,Aguirre, U.
Chronic obstructive pulmonary disease (COPD) is a common chronic disease. Exacerbations of COPD (eCOPD) contribute to the worsening of the disease and the patient's evolution. There are some clinical prediction rules that may help to stratify patients with eCOPD by their risk of poor evolution or… JMIR Publications Inc.