Publications

Displaying 326 - 350 of 1307

Publication	Date
Deep Recurrent Neural Networks and Optimization Meta-Heuristics for Green Urban Route Planning with Dynamic Traffic Estimates Authors: Javier Del Ser,Ismael Estalayo,Ibai Laña,Eneko Osaba Within the current technological landscape sketched out by Intelligent Transport Systems (ITS), traffic flow prediction and route planning are two of the cornerstones on which the scientific community has been focused for years. Applications leveraging advances in these fields range from individual… IEEE	2019-10-01
Road Traffic Forecasting using Stacking Ensembles of Echo State Networks Authors: Miren Nekane Bilbao,Eleni I. Vlahogianni,Javier Del Ser,Ibai Laña Road traffic forecasting is arguably one of the practical applications related to Intelligent Transportation Systems where Machine Learning models have impacted most significantly in recent years. The advent of increasingly sophisticated supervised learning methods to capture and generalize complex… IEEE	2019-10-01
What Lies Beneath: A Note on the Explainability of Black-box Machine Learning Models for Road Traffic Forecasting Authors: Ibai Laña,Javier Del Ser,Alejandro Barredo-Arrieta Traffic flow forecasting is widely regarded as an essential gear in the complex machinery underneath Intelligent Transport Systems, being a critical component of avant-garde Automated Traffic Management Systems. Research in this area has stimulated a vibrant activity, yielding a plethora of new… IEEE	2019-10-01
Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0 Authors: Javier Del Ser,Javier Del Ser,Diego Galar,Alberto Diez-Olivan,Basilio Sierra The so-called “smartization” of manufacturing industries has been conceived as the fourth industrial revolution or Industry 4.0, a paradigm shift propelled by the upsurge and progressive maturity o ... Elsevier BV	2019-10-01
Characterisation of Martian dust aerosol phase function from sky radiance measurements by MSL engineering cameras Authors: Santiago Pérez-Hoyos,Agustín Sánchez-Lavega,H. Chen-Chen Dust is the main driver of Mars' atmospheric variability. The determination of Martian dust aerosol properties is of high relevance for radiative modelling and calculating its weather forcing. In particular, the light scattering behaviour at intermediate and large scattering angles can provide… Elsevier BV	2019-09-01
Reducing variability in the cost of energy of ocean energy arrays Authors: Topper, Mathew B.R.,Nava, Vincenzo,Collin, Adam J.,Bould, David,Ferri, Francesco,Olson, Sterling S.,Dallman, Ann R.,Roberts, Jesse D.,Ruiz-Minguela, Pablo,Jeffrey, Henry F. Variability in the predicted cost of energy of an ocean energy converter array is more substantial than for other forms of energy generation, due to the combined stochastic action of weather conditions and failures. If the variability is great enough, then this may influence future financial… Elsevier BV	2019-09-01
Anatomy of the Attraction Basins: Breaking with the Intuition Authors: Hernando, L.,Mendiburu, A.,Lozano, J.A. Solving combinatorial optimization problems efficiently requires the development of algorithms that consider the specific properties of the problems. In this sense, local search algorithms are designed over a neighborhood structure that partially accounts for these properties. Considering a… MIT Press - Journals	2019-09-01
Capnography: A support tool for the detection of return of spontaneous circulation in out-of-hospital cardiac arrest Authors: Andoni Elola,Elisabete Aramendi,Unai Irusta,Erik Alonso,Yuanzheng Lu,Mary P. Chang,Pamela Owens,Ahamed H. Idris Automated detection of return of spontaneous circulation (ROSC) is still an unsolved problem during cardiac arrest. Current guidelines recommend the use of capnography, but most automatic methods are based on the analysis of the ECG and thoracic impedance (TI) signals. This study analysed the added… Elsevier BV	2019-09-01
Association of ventilation with outcomes from out-of-hospital cardiac arrest Authors: Mary P. Chang,Yuanzheng Lu,Brian Leroux,Elisabete Aramendi Ecenarro,Pamela Owens,Henry E. Wang,Ahamed H. Idris Abstract Aim of study To determine the association between bioimpedence-detected ventilation and out-of-hospital cardiac arrest (OHCA) outcomes. Methods This is a retrospective, observational study of 560 OHCA patients from the Dallas-Fort Worth site enrolled in the Resuscitation Outcomes… Elsevier BV	2019-08-01
Bio-inspired computation: Where we stand and what's next Authors: Xin-She Yang,Eneko Osaba,Swagatam Das,Javier Del Ser,Javier Del Ser,Francisco Herrera,David Camacho,Ponnuthurai Nagaratnam Suganthan,Carlos A. Coello Coello,Daniel Molina,Sancho Salcedo-Sanz In recent years, the research community has witnessed an explosion of literature dealing with the adaptation of behavioral patterns and social phenomena observed in nature towards efficiently solving complex computational tasks. This trend has been especially dramatic in what relates to… Elsevier BV	2019-08-01
Modified Hamiltonian Monte Carlo for Bayesian inference Authors: Elena Akhmatskaya,Elena Akhmatskaya,Tijana Radivojevic,Tijana Radivojevic 30 pages, 17 figures Springer Science and Business Media LLC	2019-07-22
Hybridizing differential evolution and novelty search for multimodal optimization problems Authors: Aritz D. Martinez,Eneko Osaba,Izaskun Oregi,Iztok Fister,Iztok Fister,Javier Del Ser Multimodal optimization has shown to be a complex paradigm underneath real-world problems arising in many practical applications, with particular prevalence in physics-related domains. Among them, a plethora of cases within the computational design of aerospace structures can be modeled as a… ACM	2019-07-13
A mathematical analysis of EDAs with distance-based exponential models Authors: Unanue, I.,Merino, M.,Lozano, J.A. AbstractEstimation of Distribution Algorithms have been successfully used to solve permutation-based Combinatorial Optimization Problems. In this case, the algorithms use probabilistic models specifically designed for codifying probability distributions over permutation spaces. One class of these… ACM	2019-07-13
Nature-inspired metaheuristics for optimizing information dissemination in vehicular networks Authors: Masegosa, Antonio D.,Osaba, Eneko,Angarita-Zapata, Juan S.,Laña, Ibai,Ser, Javier Del 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	2019-07-13
Bayesian performance analysis for black-box optimization benchmarking Authors: Calvo, Borja,Shir, Ofer,Ceberio, Josu,Doerr, Carola,Wang, Hao,Back, Thomas,Lozano, Jose International audience ACM	2019-07-13
Computing rational border curves of melanoma and other skin lesions from medical images with bat algorithm Authors: Gálvez, Akemi,Fister, Iztok,Osaba, Eneko,Fister, Iztok,Ser, Javier Del,Iglesias, Andrés Border detection of melanoma and other skin lesions from images is an important step in the medical image processing pipeline. Although this task is typically carried out manually by the dermatologists, some recent papers have applied evolutionary computation techniques to automate this process.… ACM	2019-07-13
Discovering dependencies among mined association rules with population-based metaheuristics Authors: Fister, Iztok,Galvez, Akemi,Osaba, Eneko,Ser, Javier Del,Iglesias, Andres,Fister, Iztok Stochastic population-based nature-inspired metaheuristics have been proven as a robust tool for mining association rules. These algorithms are very scalable, as well as very fast compared with some deterministic ones that search for solutions exhaustively. Typically, algorithms for association… ACM	2019-07-13
Sentiment analysis with genetically evolved gaussian kernels Authors: Roman, I.,Mendiburu, A.,Santana, R.,Lozano, J. A. Sentiment analysis consists of evaluating opinions or statements from the analysis of text. Among the methods used to estimate the degree in which a text expresses a given sentiment, are those based on Gaussian Processes. However, traditional Gaussian Processes methods use a predefined kernel with… ACM	2019-07-13
Characterising the rankings produced by combinatorial optimisation problems and finding their intersections Authors: Hernando, L.,Mendiburu, A.,Lozano, J.A. [EN] The aim of this paper is to introduce the concept of intersection between combinatorial optimisation problems. We take into account that most algorithms, in their machinery, do not consider the exact objective function values of the solutions, but only a comparison between them. In this sense… ACM	2019-07-13
Combining bio-inspired meta-heuristics and novelty search for community detection over evolving graph streams Authors: Osaba, Eneko,Ser, Javier Del,Panizo, Angel,Camacho, David,Galvez, Akemi,Iglesias, Andres Finding communities of interrelated nodes is a learning task that often holds in problems that can be modeled as a graph. In any case, detecting an optimal partition in a graph is highly time-consuming and complex. For this reason, the implementation of search-based metaheuristics arises as an… ACM	2019-07-13
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	2019-07-11
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	2019-07-02
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
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	2019-07-01
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	2019-07-01