Estimation of Distribution Algorithms Applied to the Job Shop Scheduling Problem: Some Preliminary Research. - José Antonio Lozano 001; Alexander Mendiburu (Estimation of Distribution Algorithms, 2002)

Parallel and Multi-Objective EDAs to Create Multivariate Calibration Models for Quantitative Chemical Applications. - Alexander Mendiburu; José Miguel-Alonso; José Antonio Lozano 001; Miren Ostra; Carlos Ubide (ICPP Workshops, 2005)

Parallel Implementation of EDAs Based on Probabilistic Graphical Models. - Alexander Mendiburu; José Antonio Lozano 001; José Miguel-Alonso (IEEE Trans. Evol. Comput., 2005)

Evaluation of Parallel EDAs to Create Chemical Calibration Models. - Alexander Mendiburu; José Miguel-Alonso; José Antonio Lozano 001 (e-Science, 2006)

Parallel EDAs to create multivariate calibration models for quantitative chemical applications. - Alexander Mendiburu; José Miguel-Alonso; José Antonio Lozano 001; Miren Ostra; Carlos Ubide (J. Parallel Distributed Comput., 2006)

Implementation and Performance Evaluation of a Parallelization of Estimation of Bayesian Network Algorithms. - Alexander Mendiburu; José Miguel-Alonso; José Antonio Lozano 001 (Parallel Process. Lett., 2006)

A parallel framework for loopy belief propagation. - Alexander Mendiburu; Roberto Santana 001; José Antonio Lozano 001; Endika Bengoetxea (GECCO (Companion), 2007)

Combining Bayesian classifiers and estimation of distribution algorithms for optimization in continuous domains. - Teresa Miquélez; Endika Bengoetxea; Alexander Mendiburu; Pedro Larrañaga (Connect. Sci., 2007)

Analyzing the probability of the optimum in EDAs based on Bayesian networks. - Carlos Echegoyen; Alexander Mendiburu; Roberto Santana 001; José Antonio Lozano 001 (IEEE Congress on Evolutionary Computation, 2009)

Evaluating the cell broadband engine as a platform to run estimation of distribution algorithms. - Carlos Pérez-Miguel; José Miguel-Alonso; Alexander Mendiburu (GECCO (Companion), 2009)

Estimation of Bayesian networks algorithms in a class of complex networks. - Carlos Echegoyen; Alexander Mendiburu; Roberto Santana 001; José Antonio Lozano 001 (IEEE Congress on Evolutionary Computation, 2010)

Multi-marker tagging single nucleotide polymorphism selection using estimation of distribution algorithms. - Roberto Santana 001; Alexander Mendiburu; Noah Zaitlen; Eleazar Eskin; José Antonio Lozano 001 (Artif. Intell. Medicine, 2010)

Porting Estimation of Distribution Algorithms to the Cell Broadband Engine. - Carlos Pérez-Miguel; José Miguel-Alonso; Alexander Mendiburu (Parallel Comput., 2010)

A Review on Parallel Estimation of Distribution Algorithms. - Alexander Mendiburu; José Miguel-Alonso; José Antonio Lozano 001 (Parallel and Distributed Computational Intelligence, 2010)

On the limits of effectiveness in estimation of distribution algorithms. - Carlos Echegoyen; Qingfu Zhang 001; Alexander Mendiburu; Roberto Santana 001; José Antonio Lozano 001 (IEEE Congress on Evolutionary Computation, 2011)

A study on the complexity of TSP instances under the 2-exchange neighbor system. - Leticia Hernando; Jose Antonio Pascual; Alexander Mendiburu; José Antonio Lozano 001 (FOCI, 2011)

A preliminary study on EDAs for permutation problems based on marginal-based models. - Josu Ceberio; Alexander Mendiburu; José Antonio Lozano 001 (GECCO, 2011)

Introducing the Mallows Model on Estimation of Distribution Algorithms. - Josu Ceberio; Alexander Mendiburu; José Antonio Lozano 001 (ICONIP (2), 2011)

Structural transfer using EDAs: An application to multi-marker tagging SNP selection. - Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (IEEE Congress on Evolutionary Computation, 2012)

An analysis of the use of probabilistic modeling for synaptic connectivity prediction from genomic data. - Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (IEEE Congress on Evolutionary Computation, 2012)

Evolving NK-complexity for evolutionary solvers. - Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (GECCO (Companion), 2012)

An interactive optimization approach to a real-world oceanographic campaign planning problem. - Izaskun Ibarbia; Alexander Mendiburu; Maria Santos 001; José Antonio Lozano 001 (Appl. Intell., 2012)

A review on estimation of distribution algorithms in permutation-based combinatorial optimization problems. - Josu Ceberio; Ekhine Irurozki; Alexander Mendiburu; José Antonio Lozano 001 (Prog. Artif. Intell., 2012)

Toward Understanding EDAs Based on Bayesian Networks Through a Quantitative Analysis. - Carlos Echegoyen; Alexander Mendiburu; Roberto Santana 001; José Antonio Lozano 001 (IEEE Trans. Evol. Comput., 2012)

The Plackett-Luce ranking model on permutation-based optimization problems. - Josu Ceberio; Alexander Mendiburu; José Antonio Lozano 001 (IEEE Congress on Evolutionary Computation, 2013)

Understanding Instance Complexity in the Linear Ordering Problem. - Josu Ceberio; Leticia Hernando; Alexander Mendiburu; José Antonio Lozano 001 (IDEAL, 2013)

Generating Customized Landscapes in Permutation-Based Combinatorial Optimization Problems. - Leticia Hernando; Alexander Mendiburu; José Antonio Lozano 001 (LION, 2013)

Critical Issues in Model-Based Surrogate Functions in Estimation of Distribution Algorithms. - Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (SEMCCO (2), 2013)

Message Passing Methods for Estimation of Distribution Algorithms Based on Markov Networks. - Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (SEMCCO (2), 2013)

On the Taxonomy of Optimization Problems Under Estimation of Distribution Algorithms. - Carlos Echegoyen; Alexander Mendiburu; Roberto Santana 001; José Antonio Lozano 001 (Evol. Comput., 2013)

An Evaluation of Methods for Estimating the Number of Local Optima in Combinatorial Optimization Problems. - Leticia Hernando; Alexander Mendiburu; José Antonio Lozano 001 (Evol. Comput., 2013)

High throughput computing over peer-to-peer networks. - Carlos Pérez-Miguel; José Miguel-Alonso; Alexander Mendiburu (Future Gener. Comput. Syst., 2013)

Extending distance-based ranking models in estimation of distribution algorithms. - Josu Ceberio; Ekhine Irurozki; Alexander Mendiburu; José Antonio Lozano 001 (IEEE Congress on Evolutionary Computation, 2014)

Customized Selection in Estimation of Distribution Algorithms. - Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (SEAL, 2014)

Distributed Estimation of Distribution Algorithms for continuous optimization: How does the exchanged information influence their behavior? - Santiago Muelas; Alexander Mendiburu; Antonio LaTorre; José María Peña Sánchez (Inf. Sci., 2014)

Assisting in search heuristics selection through multidimensional supervised classification: A case study on software testing. - Ramón Sagarna; Alexander Mendiburu; Iñaki Inza; José Antonio Lozano 001 (Inf. Sci., 2014)

A Distance-Based Ranking Model Estimation of Distribution Algorithm for the Flowshop Scheduling Problem. - Josu Ceberio; Ekhine Irurozki; Alexander Mendiburu; José Antonio Lozano 001 (IEEE Trans. Evol. Comput., 2014)

Multi-objectivising the Quadratic Assignment Problem by Means of an Elementary Landscape Decomposition. - Josu Ceberio; Borja Calvo; Alexander Mendiburu; José Antonio Lozano 001 (CAEPIA, 2015)

Mixtures of Generalized Mallows models for solving the quadratic assignment problem. - Josu Ceberio; Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (CEC, 2015)

Evolving MNK-landscapes with structural constraints. - Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (CEC, 2015)

Kernels of Mallows Models for Solving Permutation-based Problems. - Josu Ceberio; Alexander Mendiburu; José Antonio Lozano 001 (GECCO, 2015)

Multi-objective NM-Landscapes. - Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (GECCO (Companion), 2015)

Multi-view classification of psychiatric conditions based on saccades. - Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (Appl. Soft Comput., 2015)

Competition-based failure-aware scheduling for High-Throughput Computing systems on peer-to-peer networks. - Carlos Pérez-Miguel; Alexander Mendiburu; José Miguel-Alonso (Clust. Comput., 2015)

A review of distances for the Mallows and Generalized Mallows estimation of distribution algorithms. - Josu Ceberio; Ekhine Irurozki; Alexander Mendiburu; José Antonio Lozano 001 (Comput. Optim. Appl., 2015)

Computing factorized approximations of Pareto-fronts using mNM-landscapes and Boltzmann distributions. - Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (CoRR, 2015)

MOEA/D-GM: Using probabilistic graphical models in MOEA/D for solving combinatorial optimization problems. - Murilo Zangari de Souza; Roberto Santana 001; Aurora Trinidad Ramirez Pozo; Alexander Mendiburu (CoRR, 2015)

Multi-objective environmental model evaluation by means of multidimensional kernel density estimators: Efficient and multi-core implementations. - Unai Lopez-Novoa; Jon Sáenz; Alexander Mendiburu; José Miguel-Alonso; Iñigo Errasti; Ganix Esnaola; Agustín Ezcurra; Gabriel Ibarra-Berastegi (Environ. Model. Softw., 2015)

The linear ordering problem revisited. - Josu Ceberio; Alexander Mendiburu; José Antonio Lozano 001 (Eur. J. Oper. Res., 2015)

An efficient implementation of kernel density estimation for multi-core and many-core architectures. - Unai Lopez-Novoa; Jon Sáenz; Alexander Mendiburu; José Miguel-Alonso (Int. J. High Perform. Comput. Appl., 2015)

Modeling the availability of Cassandra. - Carlos Pérez-Miguel; Alexander Mendiburu; José Miguel-Alonso (J. Parallel Distributed Comput., 2015)

Comprehensive characterization of the behaviors of estimation of distribution algorithms. - Carlos Echegoyen; Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (Theor. Comput. Sci., 2015)

A Survey of Performance Modeling and Simulation Techniques for Accelerator-Based Computing. - Unai Lopez-Novoa; Alexander Mendiburu; José Miguel-Alonso (IEEE Trans. Parallel Distributed Syst., 2015)

A Note on the Boltzmann Distribution and the Linear Ordering Problem. - Josu Ceberio; Alexander Mendiburu; José Antonio Lozano 001 (CAEPIA, 2016)

Estimating Attraction Basin Sizes. - Leticia Hernando; Alexander Mendiburu; José Antonio Lozano 001 (CAEPIA, 2016)

Bayesian optimization for parameter tuning in evolutionary algorithms. - Ibai Roman; Josu Ceberio; Alexander Mendiburu; José Antonio Lozano 001 (CEC, 2016)

On the Design of Hard mUBQP Instances. - Murilo Zangari; Roberto Santana 001; Alexander Mendiburu; Aurora T. R. Pozo (GECCO, 2016)

A review of message passing algorithms in estimation of distribution algorithms. - Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (Nat. Comput., 2016)

Distance Measures for Time Series in R: The TSdist Package. - Usue Mori; Alexander Mendiburu; José Antonio Lozano 001 (R J., 2016)

A Tunable Generator of Instances of Permutation-Based Combinatorial Optimization Problems. - Leticia Hernando; Alexander Mendiburu; José Antonio Lozano 001 (IEEE Trans. Evol. Comput., 2016)

Kernel density estimation in accelerators - Implementation and performance evaluation. - Unai Lopez-Novoa; Alexander Mendiburu; José Miguel-Alonso (J. Supercomput., 2016)

Similarity Measure Selection for Clustering Time Series Databases. - Usue Mori; Alexander Mendiburu; José Antonio Lozano 001 (IEEE Trans. Knowl. Data Eng., 2016)

A square lattice probability model for optimising the Graph Partitioning Problem. - Josu Ceberio; Alexander Mendiburu; José Antonio Lozano 001 (CEC, 2017)

Are we generating instances uniformly at random? - Josu Ceberio; Alexander Mendiburu; José Antonio Lozano 001 (CEC, 2017)

Not all PBILs are the same: Unveiling the different learning mechanisms of PBIL variants. - Murilo Zangari de Souza; Roberto Santana 001; Alexander Mendiburu; Aurora Trinidad Ramirez Pozo (Appl. Soft Comput., 2017)

Evolving imputation strategies for missing data in classification problems with TPOT. - Unai Garciarena; Roberto Santana 001; Alexander Mendiburu (CoRR, 2017)

Reliable early classification of time series based on discriminating the classes over time. - Usue Mori; Alexander Mendiburu; Eamonn J. Keogh; José Antonio Lozano 001 (Data Min. Knowl. Discov., 2017)

A decomposition-based binary ACO algorithm for the multiobjective UBQP. - Murilo Zangari; Aurora T. R. Pozo; Roberto Santana 001; Alexander Mendiburu (Neurocomputing, 2017)

Multiobjective decomposition-based Mallows Models estimation of distribution algorithm. A case of study for permutation flowshop scheduling problem. - Murilo Zangari; Alexander Mendiburu; Roberto Santana 001; Aurora T. R. Pozo (Inf. Sci., 2017)

Distance-Based Exponential Probability Models for Constrained Combinatorial Problems. - Josu Ceberio; Alexander Mendiburu; José Antonio Lozano 001 (CAEPIA, 2018)

Analysis of the Complexity of the Automatic Pipeline Generation Problem. - Unai Garciarena; Roberto Santana 001; Alexander Mendiburu (CEC, 2018)

Hill-Climbing Algorithm: Let's Go for a Walk Before Finding the Optimum. - Leticia Hernando; Alexander Mendiburu; José Antonio Lozano 001 (CEC, 2018)

Distance-based exponential probability models on constrained combinatorial optimization problems. - Josu Ceberio; Alexander Mendiburu; José Antonio Lozano 001 (GECCO (Companion), 2018)

Evolved GANs for generating pareto set approximations. - Unai Garciarena; Roberto Santana 001; Alexander Mendiburu (GECCO, 2018)

Expanding variational autoencoders for learning and exploiting latent representations in search distributions. - Unai Garciarena; Roberto Santana 001; Alexander Mendiburu (GECCO, 2018)

Towards a more efficient representation of imputation operators in TPOT. - Unai Garciarena; Alexander Mendiburu; Roberto Santana 001 (CoRR, 2018)

Estimating attraction basin sizes of combinatorial optimization problems. - Anne Elorza; Leticia Hernando; Alexander Mendiburu; José Antonio Lozano 001 (Prog. Artif. Intell., 2018)

Early Classification of Time Series by Simultaneously Optimizing the Accuracy and Earliness. - Usue Mori; Alexander Mendiburu; Sanjoy Dasgupta; José Antonio Lozano 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Algorithm 989: perm_mateda: A Matlab Toolbox of Estimation of Distribution Algorithms for Permutation-based Combinatorial Optimization Problems. - Ekhine Irurozki; Josu Ceberio; Josean Santamaria; Roberto Santana 001; Alexander Mendiburu (ACM Trans. Math. Softw., 2018)

Multi-start Methods. - Rafael Martí; José Antonio Lozano 001; Alexander Mendiburu; Leticia Hernando (Handbook of Heuristics, 2018)

Characterising the rankings produced by combinatorial optimisation problems and finding their intersections. - Leticia Hernando; Alexander Mendiburu; José Antonio Lozano 001 (GECCO, 2019)

Sentiment analysis with genetically evolved gaussian kernels. - Ibai Roman; Alexander Mendiburu; Roberto Santana 001; José Antonio Lozano 001 (GECCO, 2019)

Bayesian Optimization Approaches for Massively Multi-modal Problems. - Ibai Roman; Alexander Mendiburu; Roberto Santana 001; José Antonio Lozano 001 (LION, 2019)

Evolving Gaussian Process Kernels for Translation Editing Effort Estimation. - Ibai Roman; Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (LION, 2019)

An Experimental Study in Adaptive Kernel Selection for Bayesian Optimization. - Ibai Roman; Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (IEEE Access, 2019)

Evolving Gaussian Process kernels from elementary mathematical expressions. - Ibai Roman; Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (CoRR, 2019)

Multi-Objectivising Combinatorial Optimisation Problems by Means of Elementary Landscape Decompositions. - Josu Ceberio; Borja Calvo; Alexander Mendiburu; José Antonio Lozano 001 (Evol. Comput., 2019)

Anatomy of the Attraction Basins: Breaking with the Intuition. - Leticia Hernando; Alexander Mendiburu; José Antonio Lozano 001 (Evol. Comput., 2019)

Early classification of time series using multi-objective optimization techniques. - Usue Mori; Alexander Mendiburu; Isabel Marta Miranda; José Antonio Lozano 001 (Inf. Sci., 2019)

Envisioning the Benefits of Back-Drive in Evolutionary Algorithms. - Unai Garciarena; Alexander Mendiburu; Roberto Santana 001 (CEC, 2020)

A Symmetric grammar approach for designing segmentation models. - Ricardo Henrique Remes de Lima; Aurora T. R. Pozo; Alexander Mendiburu; Roberto Santana 001 (CEC, 2020)

Journey to the center of the linear ordering problem. - Leticia Hernando; Alexander Mendiburu; José Antonio Lozano 001 (GECCO, 2020)

Automatic Structural Search for Multi-task Learning VALPs. - Unai Garciarena; Alexander Mendiburu; Roberto Santana 001 (OLA, 2020)

EvoFlow: A Python library for evolving deep neural network architectures in tensorflow. - Unai Garciarena; Roberto Santana 001; Alexander Mendiburu (SSCI, 2020)

Analysis of the transferability and robustness of GANs evolved for Pareto set approximations. - Unai Garciarena; Alexander Mendiburu; Roberto Santana 001 (Neural Networks, 2020)

Survey of Network Intrusion Detection Methods From the Perspective of the Knowledge Discovery in Databases Process. - Borja Molina-Coronado; Usue Mori; Alexander Mendiburu; José Miguel-Alonso (IEEE Trans. Netw. Serv. Manag., 2020)

Automatic Design of Deep Neural Networks Applied to Image Segmentation Problems. - Ricardo Henrique Remes de Lima; Aurora T. R. Pozo; Alexander Mendiburu; Roberto Santana 001 (EuroGP, 2021)

On the exploitation of neuroevolutionary information. - Unai Garciarena; Nuno Lourenço 002; Penousal Machado; Roberto Santana 001; Alexander Mendiburu (GECCO Companion, 2021)

Exploratory analysis of the Monte Carlo tree search for solving the linear ordering problem. - Andoni I. Garmendia; Josu Ceberio; Alexander Mendiburu (GECCO Companion, 2021)

Adversarial Perturbations for Evolutionary Optimization. - Unai Garciarena; Jon Vadillo; Alexander Mendiburu; Roberto Santana 001 (LOD, 2021)

Evolution of Gaussian Process kernels for machine translation post-editing effort estimation. - Ibai Roman; Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (Ann. Math. Artif. Intell., 2021)

On the Exploitation of Neuroevolutionary Information: Analyzing the Past for a More Efficient Future. - Unai Garciarena; Nuno Lourenço 002; Penousal Machado; Roberto Santana 001; Alexander Mendiburu (CoRR, 2021)

Redefining Neural Architecture Search of Heterogeneous Multi-Network Models by Characterizing Variation Operators and Model Components. - Unai Garciarena; Roberto Santana 001; Alexander Mendiburu (CoRR, 2021)

Evolving Gaussian process kernels from elementary mathematical expressions for time series extrapolation. - Ibai Roman; Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (Neurocomputing, 2021)

In-depth analysis of SVM kernel learning and its components. - Ibai Roman; Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (Neural Comput. Appl., 2021)

Towards Automatic Construction of Multi-Network Models for Heterogeneous Multi-Task Learning. - Unai Garciarena; Alexander Mendiburu; Roberto Santana 001 (ACM Trans. Knowl. Discov. Data, 2021)

Neural Combinatorial Optimization: a New Player in the Field. - Andoni I. Garmendia; Josu Ceberio; Alexander Mendiburu (CoRR, 2022)

Towards a Fair Comparison and Realistic Design and Evaluation Framework of Android Malware Detectors. - Borja Molina-Coronado; Usue Mori; Alexander Mendiburu; José Miguel-Alonso (CoRR, 2022)

Neural Improvement Heuristics for Preference Ranking. - Andoni I. Garmendia; Josu Ceberio; Alexander Mendiburu (CoRR, 2022)

A grammar-based GP approach applied to the design of deep neural networks. - Ricardo Henrique Remes de Lima; Dimmy Magalhães; Aurora T. R. Pozo; Alexander Mendiburu; Roberto Santana 001 (Genet. Program. Evolvable Mach., 2022)

Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification. - Roberto Santana 001; Ivan Hidalgo-Cenalmor; Unai Garciarena; Alexander Mendiburu; José Antonio Lozano 001 (GECCO Companion, 2023)

Analyzing the interplay between transferable GANs and gradient optimizers. - Unai Garciarena; Roberto Santana 001; Alexander Mendiburu (GECCO Companion, 2023)

Towards a fair comparison and realistic evaluation framework of android malware detectors based on static analysis and machine learning. - Borja Molina-Coronado; Usue Mori; Alexander Mendiburu; José Miguel-Alonso (Comput. Secur., 2023)

Efficient concept drift handling for batch android malware detection models. - Borja Molina-Coronado; Usue Mori; Alexander Mendiburu; José Miguel-Alonso (Pervasive Mob. Comput., 2023)

Exploring the Capabilities and Limitations of Neural Methods in the Maximum Cut. - Andoni I. Garmendia; Josu Ceberio; Alexander Mendiburu (CAEPIA, 2024)

Neural Combinatorial Optimization by Means of Partial Solution Strategies. - Andoni Irazusta Garmendia; Josu Ceberio; Alexander Mendiburu (CEC, 2024)

MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization. - Andoni I. Garmendia; Quentin Cappart; Josu Ceberio; Alexander Mendiburu (IJCAI, 2024)

Factorized models in neural architecture search: Impact on computational costs and performance. - Unai Garciarena; Alexander Mendiburu; Roberto Santana 001 (IJCNN, 2024)

A roadmap for solving optimization problems with estimation of distribution algorithms. - Josu Ceberio; Alexander Mendiburu; José Antonio Lozano 001 (Nat. Comput., 2024)

Redefining Neural Architecture Search of Heterogeneous Multinetwork Models by Characterizing Variation Operators and Model Components. - Unai Garciarena; Roberto Santana 001; Alexander Mendiburu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Applicability of Neural Combinatorial Optimization: A Critical View. - Andoni I. Garmendia; Josu Ceberio; Alexander Mendiburu (ACM Trans. Evol. Learn. Optim., 2024)

Neural Improvement Heuristics for Graph Combinatorial Optimization Problems. - Andoni I. Garmendia; Josu Ceberio; Alexander Mendiburu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Light up that Droid! On the effectiveness of static analysis features against app obfuscation for Android malware detection. - Borja Molina-Coronado; Antonio Ruggia; Usue Mori; Alessio Merlo; Alexander Mendiburu; José Miguel-Alonso (J. Netw. Comput. Appl., 2025)