Publications

Displaying 326 - 350 of 1227

Publication	Date
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	2019-07-01
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	2019-07-01
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	2019-06-05
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	2019-06-05
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	2019-06-01
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	2019-06-01
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 Ministerio de Economía, Industria y Competitividad TIN2014- 58304 Elsevier BV	2019-06-01
Return, Diversification and Risk in Cryptocurrency Portfolios using Deep Recurrent Neural Networks and Multi-Objective Evolutionary Algorithms Authors: Ismael Estalayo,Eneko Osaba,Miren Nekane Bilbao,Javier Del Ser,Andrés Iglesias,Khan Muhammad,Akemi Gálvez 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	2019-06-01
Hybrid Modified Firefly Algorithm for Border Detection of Skin Lesions in Medical Imaging Authors: Akemi Galvez,Iztok Fister,Eneko Osaba,Iztok Fister,Javier Del Ser,Andres Iglesias 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	2019-06-01
Cooperative game concepts in solving global optimization Authors: Iztok Fister,Andres Iglesias,Akemi Galvez,Javier Del Ser,Eneko Osaba,Iztok Fister 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	2019-06-01
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	2019-06-01
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)	2019-06-01
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	2019-05-22
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)	2019-05-20
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 COIn total 514 shocks… Elsevier BV	2019-05-01
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)	2019-05-01
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	2019-05-01
Mallows and generalized Mallows model for matchings Authors: Irurozki, E.,Calvo, B.,Lozano, J.A. The Mallows and Generalized Mallows Models are two of the most popular probability models for distributions 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	2019-05-01
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	2019-04-24
A Computer Application to Predict Adverse Events in the Short-Term Evolution of Patients With Exacerbation of Chronic Obstructive Pulmonary Disease Authors: Inmaculada, Arostegui,María José, Legarreta,Irantzu, Barrio,Cristobal, Esteban,Susana, Garcia-Gutierrez,Urko, Aguirre,José María, Quintana,Jose M, Quintana 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.	2019-04-17
On-line Elastic Similarity Measures for time series Authors: Aritz Pérez,Javier Del Ser,Javier Del Ser,Jose A. Lozano,Jose A. Lozano,Izaskun Oregi The way similarity is measured among time series is of paramount importance in many data mining and machine learning tasks. For instance, Elastic Similarity Measures are widely used to determine whether two time series are similar to each other. Indeed, in off-line time series mining, these… Elsevier BV	2019-04-01
Novelty search for global optimization Authors: Akemi Gálvez,Javier Del Ser,Javier Del Ser,Andrés Iglesias,Iztok Fister,Iztok Fister,Matjaž Perc,Mitja Slavinec,Eneko Osaba Abstract Novelty search is a tool in evolutionary and swarm robotics for maintaining the diversity of population needed for continuous robotic operation. It enables nature-inspired algorithms to evaluate solutions on the basis of the distance to their k-nearest neighbors in the search space.… Elsevier BV	2019-04-01
Explicit-in-time goal-oriented adaptivity Authors: Elisabete Alberdi,Victor M. Calo,Victor M. Calo,Judit Muñoz-Matute,David Pardo,David Pardo,David Pardo,Kristoffer G. van der Zee The first four authors have received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska- Curie grant agreement No 777778. David Pardo, Elisabete Alberdi and Judit Muñoz-Matute were partially funded by the Basque Government Consolidated… Elsevier BV	2019-04-01
Forward‐in‐time goal‐oriented adaptivity Authors: Elisabete Alberdi,Judit Muñoz-Matute,Victor M. Calo,Victor M. Calo,David Pardo,David Pardo,David Pardo SummaryIn goal‐oriented adaptive algorithms for partial differential equations, we adapt the finite element mesh to reduce the error of the solution in some quantity of interest. In time‐dependent problems, this adaptive algorithm involves solving a dual problem that runs backward in time. This… Wiley	2019-04-01
Deep Neural Networks for ECG-Based Pulse Detection during Out-of-Hospital Cardiac Arrest Authors: Andoni Elola,Elisabete Aramendi,Unai Irusta,Artzai Picón,Erik Alonso,Pamela Owens,Ahamed Idris The automatic detection of pulse during out-of-hospital cardiac arrest (OHCA) is necessary for the early recognition of the arrest and the detection of return of spontaneous circulation (end of the arrest). The only signal available in every single defibrillator and valid for the detection of pulse… MDPI AG	2019-03-21