Alexander Mendiburu

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 71

Top Venues

Publications

Unai Garciarena, Roberto Santana, Alexander Mendiburu
Redefining Neural Architecture Search of Heterogeneous Multinetwork Models by Characterizing Variation Operators and Model Components. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
A roadmap for solving optimization problems with estimation of distribution algorithms. Nat. Comput. 23 (1) (2024)
Andoni I. Garmendia, Josu Ceberio, Alexander Mendiburu
Exploring the Capabilities and Limitations of Neural Methods in the Maximum Cut. CAEPIA (2024)
Andoni Irazusta Garmendia, Josu Ceberio, Alexander Mendiburu
Neural Combinatorial Optimization by Means of Partial Solution Strategies. CEC (2024)
Andoni I. Garmendia, Josu Ceberio, Alexander Mendiburu
Applicability of Neural Combinatorial Optimization: A Critical View. ACM Trans. Evol. Learn. Optim. 4 (3) (2024)
Borja Molina-Coronado, Usue Mori, Alexander Mendiburu, José Miguel-Alonso
Efficient Concept Drift Handling for Batch Android Malware Detection Models. CoRR (2023)
Unai Garciarena, Roberto Santana, Alexander Mendiburu
Analyzing the interplay between transferable GANs and gradient optimizers. GECCO Companion (2023)
Borja Molina-Coronado, Usue Mori, Alexander Mendiburu, José Miguel-Alonso
Efficient concept drift handling for batch android malware detection models. Pervasive Mob. Comput. 96 (2023)
Roberto Santana, Ivan Hidalgo-Cenalmor, Unai Garciarena, Alexander Mendiburu, José Antonio Lozano
Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification. CoRR (2023)
Borja Molina-Coronado, Antonio Ruggia, Usue Mori, Alessio Merlo, Alexander Mendiburu, José Miguel-Alonso
Light up that Droid! On the Effectiveness of Static Analysis Features against App Obfuscation for Android Malware Detection. CoRR (2023)
Borja Molina-Coronado, Usue Mori, Alexander Mendiburu, José Miguel-Alonso
Towards a fair comparison and realistic evaluation framework of android malware detectors based on static analysis and machine learning. Comput. Secur. 124 (2023)
Roberto Santana, Ivan Hidalgo-Cenalmor, Unai Garciarena, Alexander Mendiburu, José Antonio Lozano
Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification. GECCO Companion (2023)
Andoni I. Garmendia, Josu Ceberio, Alexander Mendiburu
Neural Combinatorial Optimization: a New Player in the Field. CoRR (2022)
Andoni I. Garmendia, Josu Ceberio, Alexander Mendiburu
Neural Improvement Heuristics for Preference Ranking. CoRR (2022)
Borja Molina-Coronado, Usue Mori, Alexander Mendiburu, José Miguel-Alonso
Towards a Fair Comparison and Realistic Design and Evaluation Framework of Android Malware Detectors. CoRR (2022)
Ricardo Henrique Remes de Lima, Dimmy Magalhães, Aurora T. R. Pozo, Alexander Mendiburu, Roberto Santana
A grammar-based GP approach applied to the design of deep neural networks. Genet. Program. Evolvable Mach. 23 (3) (2022)
Andoni I. Garmendia, Josu Ceberio, Alexander Mendiburu
Exploratory analysis of the Monte Carlo tree search for solving the linear ordering problem. GECCO Companion (2021)
Unai Garciarena, Nuno Lourenço, Penousal Machado, Roberto Santana, Alexander Mendiburu
On the Exploitation of Neuroevolutionary Information: Analyzing the Past for a More Efficient Future. CoRR (2021)
Unai Garciarena, Alexander Mendiburu, Roberto Santana
Towards Automatic Construction of Multi-Network Models for Heterogeneous Multi-Task Learning. ACM Trans. Knowl. Discov. Data 15 (2) (2021)
Unai Garciarena, Jon Vadillo, Alexander Mendiburu, Roberto Santana
Adversarial Perturbations for Evolutionary Optimization. LOD (2021)
Unai Garciarena, Nuno Lourenço, Penousal Machado, Roberto Santana, Alexander Mendiburu
On the exploitation of neuroevolutionary information. GECCO Companion (2021)
Unai Garciarena, Roberto Santana, Alexander Mendiburu
Redefining Neural Architecture Search of Heterogeneous Multi-Network Models by Characterizing Variation Operators and Model Components. CoRR (2021)
Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano
Evolving Gaussian process kernels from elementary mathematical expressions for time series extrapolation. Neurocomputing 462 (2021)
Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano
Evolution of Gaussian Process kernels for machine translation post-editing effort estimation. Ann. Math. Artif. Intell. 89 (8-9) (2021)
Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano
In-depth analysis of SVM kernel learning and its components. Neural Comput. Appl. 33 (12) (2021)
Ricardo Henrique Remes de Lima, Aurora T. R. Pozo, Alexander Mendiburu, Roberto Santana
Automatic Design of Deep Neural Networks Applied to Image Segmentation Problems. EuroGP (2021)
Unai Garciarena, Alexander Mendiburu, Roberto Santana
Analysis of the transferability and robustness of GANs evolved for Pareto set approximations. Neural Networks 132 (2020)
Unai Garciarena, Roberto Santana, Alexander Mendiburu
EvoFlow: A Python library for evolving deep neural network architectures in tensorflow. SSCI (2020)
Borja Molina-Coronado, Usue Mori, Alexander Mendiburu, José Miguel-Alonso
Survey of Network Intrusion Detection Methods From the Perspective of the Knowledge Discovery in Databases Process. IEEE Trans. Netw. Serv. Manag. 17 (4) (2020)
Unai Garciarena, Alexander Mendiburu, Roberto Santana
Automatic Structural Search for Multi-task Learning VALPs. OLA (2020)
Leticia Hernando, Alexander Mendiburu, José Antonio Lozano
Journey to the center of the linear ordering problem. GECCO (2020)
Ricardo Henrique Remes de Lima, Aurora T. R. Pozo, Alexander Mendiburu, Roberto Santana
A Symmetric grammar approach for designing segmentation models. CEC (2020)
Unai Garciarena, Alexander Mendiburu, Roberto Santana
Envisioning the Benefits of Back-Drive in Evolutionary Algorithms. CEC (2020)
Borja Molina-Coronado, Usue Mori, Alexander Mendiburu, José Miguel-Alonso
Survey of Network Intrusion Detection Methods from the Perspective of the Knowledge Discovery in Databases Process. CoRR (2020)
Usue Mori, Alexander Mendiburu, Isabel Marta Miranda, José Antonio Lozano
Early classification of time series using multi-objective optimization techniques. Inf. Sci. 492 (2019)
Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano
Evolving Gaussian Process Kernels for Translation Editing Effort Estimation. LION (2019)
Josu Ceberio, Borja Calvo, Alexander Mendiburu, José Antonio Lozano
Multi-Objectivising Combinatorial Optimisation Problems by Means of Elementary Landscape Decompositions. Evol. Comput. 27 (2) (2019)
Leticia Hernando, Alexander Mendiburu, José Antonio Lozano
Anatomy of the Attraction Basins: Breaking with the Intuition. Evol. Comput. 27 (3) (2019)
Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano
An Experimental Study in Adaptive Kernel Selection for Bayesian Optimization. IEEE Access 7 (2019)
Ibai Roman, Alexander Mendiburu, Roberto Santana, José Antonio Lozano
Bayesian Optimization Approaches for Massively Multi-modal Problems. LION (2019)
Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano
Evolving Gaussian Process kernels from elementary mathematical expressions. CoRR (2019)
Leticia Hernando, Alexander Mendiburu, José Antonio Lozano
Characterising the rankings produced by combinatorial optimisation problems and finding their intersections. GECCO (2019)
Unai Garciarena, Alexander Mendiburu, Roberto Santana
Towards automatic construction of multi-network models for heterogeneous multi-task learning. CoRR (2019)
Ibai Roman, Alexander Mendiburu, Roberto Santana, José Antonio Lozano
Sentiment analysis with genetically evolved Gaussian kernels. CoRR (2019)
Ibai Roman, Alexander Mendiburu, Roberto Santana, José Antonio Lozano
Sentiment analysis with genetically evolved gaussian kernels. GECCO (2019)
Anne Elorza, Leticia Hernando, Alexander Mendiburu, José Antonio Lozano
Estimating attraction basin sizes of combinatorial optimization problems. Prog. Artif. Intell. 7 (4) (2018)
Unai Garciarena, Roberto Santana, Alexander Mendiburu
Expanding variational autoencoders for learning and exploiting latent representations in search distributions. GECCO (2018)
Usue Mori, Alexander Mendiburu, Sanjoy Dasgupta, José Antonio Lozano
Early Classification of Time Series by Simultaneously Optimizing the Accuracy and Earliness. IEEE Trans. Neural Networks Learn. Syst. 29 (10) (2018)
Leticia Hernando, Alexander Mendiburu, José Antonio Lozano
Hill-Climbing Algorithm: Let's Go for a Walk Before Finding the Optimum. CEC (2018)
Unai Garciarena, Roberto Santana, Alexander Mendiburu
Evolved GANs for generating pareto set approximations. GECCO (2018)
Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
Distance-based exponential probability models on constrained combinatorial optimization problems. GECCO (Companion) (2018)
Unai Garciarena, Roberto Santana, Alexander Mendiburu
Analysis of the Complexity of the Automatic Pipeline Generation Problem. CEC (2018)
Unai Garciarena, Alexander Mendiburu, Roberto Santana
Towards a more efficient representation of imputation operators in TPOT. CoRR (2018)
Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
Distance-Based Exponential Probability Models for Constrained Combinatorial Problems. CAEPIA (2018)
Ekhine Irurozki, Josu Ceberio, Josean Santamaria, Roberto Santana, Alexander Mendiburu
Algorithm 989: perm_mateda: A Matlab Toolbox of Estimation of Distribution Algorithms for Permutation-based Combinatorial Optimization Problems. ACM Trans. Math. Softw. 44 (4) (2018)
Murilo Zangari de Souza, Roberto Santana, Alexander Mendiburu, Aurora Trinidad Ramirez Pozo
Not all PBILs are the same: Unveiling the different learning mechanisms of PBIL variants. Appl. Soft Comput. 53 (2017)
Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
Are we generating instances uniformly at random? CEC (2017)
Murilo Zangari, Alexander Mendiburu, Roberto Santana, Aurora T. R. Pozo
Multiobjective decomposition-based Mallows Models estimation of distribution algorithm. A case of study for permutation flowshop scheduling problem. Inf. Sci. 397 (2017)
Unai Garciarena, Roberto Santana, Alexander Mendiburu
Evolving imputation strategies for missing data in classification problems with TPOT. CoRR (2017)
Murilo Zangari, Aurora T. R. Pozo, Roberto Santana, Alexander Mendiburu
A decomposition-based binary ACO algorithm for the multiobjective UBQP. Neurocomputing 246 (2017)
Usue Mori, Alexander Mendiburu, Eamonn J. Keogh, José Antonio Lozano
Reliable early classification of time series based on discriminating the classes over time. Data Min. Knowl. Discov. 31 (1) (2017)
Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
A square lattice probability model for optimising the Graph Partitioning Problem. CEC (2017)
Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
A Note on the Boltzmann Distribution and the Linear Ordering Problem. CAEPIA (2016)
Ibai Roman, Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
Bayesian optimization for parameter tuning in evolutionary algorithms. CEC (2016)
Unai Lopez-Novoa, Alexander Mendiburu, José Miguel-Alonso
Kernel density estimation in accelerators - Implementation and performance evaluation. J. Supercomput. 72 (2) (2016)
Leticia Hernando, Alexander Mendiburu, José Antonio Lozano
A Tunable Generator of Instances of Permutation-Based Combinatorial Optimization Problems. IEEE Trans. Evol. Comput. 20 (2) (2016)
Usue Mori, Alexander Mendiburu, José Antonio Lozano
Similarity Measure Selection for Clustering Time Series Databases. IEEE Trans. Knowl. Data Eng. 28 (1) (2016)
Leticia Hernando, Alexander Mendiburu, José Antonio Lozano
Estimating Attraction Basin Sizes. CAEPIA (2016)
Murilo Zangari, Roberto Santana, Alexander Mendiburu, Aurora T. R. Pozo
On the Design of Hard mUBQP Instances. GECCO (2016)
Usue Mori, Alexander Mendiburu, José Antonio Lozano
Distance Measures for Time Series in R: The TSdist Package. R J. 8 (2) (2016)
Roberto Santana, Alexander Mendiburu, José Antonio Lozano
A review of message passing algorithms in estimation of distribution algorithms. Nat. Comput. 15 (1) (2016)
Roberto Santana, Alexander Mendiburu, José Antonio Lozano
Evolving MNK-landscapes with structural constraints. CEC (2015)
Unai Lopez-Novoa, Jon Sáenz, Alexander Mendiburu, José Miguel-Alonso, Iñigo Errasti, Ganix Esnaola, Agustín Ezcurra, Gabriel Ibarra-Berastegi
Multi-objective environmental model evaluation by means of multidimensional kernel density estimators: Efficient and multi-core implementations. Environ. Model. Softw. 63 (2015)
Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
Kernels of Mallows Models for Solving Permutation-based Problems. GECCO (2015)
Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
The linear ordering problem revisited. Eur. J. Oper. Res. 241 (3) (2015)
Unai Lopez-Novoa, Jon Sáenz, Alexander Mendiburu, José Miguel-Alonso
An efficient implementation of kernel density estimation for multi-core and many-core architectures. Int. J. High Perform. Comput. Appl. 29 (3) (2015)
Josu Ceberio, Ekhine Irurozki, Alexander Mendiburu, José Antonio Lozano
A review of distances for the Mallows and Generalized Mallows estimation of distribution algorithms. Comput. Optim. Appl. 62 (2) (2015)
Carlos Pérez-Miguel, Alexander Mendiburu, José Miguel-Alonso
Modeling the availability of Cassandra. J. Parallel Distributed Comput. 86 (2015)
Josu Ceberio, Roberto Santana, Alexander Mendiburu, José Antonio Lozano
Mixtures of Generalized Mallows models for solving the quadratic assignment problem. CEC (2015)
Roberto Santana, Alexander Mendiburu, José Antonio Lozano
Computing factorized approximations of Pareto-fronts using mNM-landscapes and Boltzmann distributions. CoRR (2015)
Murilo Zangari de Souza, Roberto Santana, Aurora Trinidad Ramirez Pozo, Alexander Mendiburu
MOEA/D-GM: Using probabilistic graphical models in MOEA/D for solving combinatorial optimization problems. CoRR (2015)
Carlos Pérez-Miguel, Alexander Mendiburu, José Miguel-Alonso
Competition-based failure-aware scheduling for High-Throughput Computing systems on peer-to-peer networks. Clust. Comput. 18 (3) (2015)
Roberto Santana, Alexander Mendiburu, José Antonio Lozano
Multi-objective NM-Landscapes. GECCO (Companion) (2015)
Roberto Santana, Alexander Mendiburu, José Antonio Lozano
Multi-view classification of psychiatric conditions based on saccades. Appl. Soft Comput. 31 (2015)
Unai Lopez-Novoa, Alexander Mendiburu, José Miguel-Alonso
A Survey of Performance Modeling and Simulation Techniques for Accelerator-Based Computing. IEEE Trans. Parallel Distributed Syst. 26 (1) (2015)
Josu Ceberio, Borja Calvo, Alexander Mendiburu, José Antonio Lozano
Multi-objectivising the Quadratic Assignment Problem by Means of an Elementary Landscape Decomposition. CAEPIA (2015)
Carlos Echegoyen, Roberto Santana, Alexander Mendiburu, José Antonio Lozano
Comprehensive characterization of the behaviors of estimation of distribution algorithms. Theor. Comput. Sci. 598 (2015)
Josu Ceberio, Ekhine Irurozki, Alexander Mendiburu, José Antonio Lozano
Extending distance-based ranking models in estimation of distribution algorithms. IEEE Congress on Evolutionary Computation (2014)
Ramón Sagarna, Alexander Mendiburu, Iñaki Inza, José Antonio Lozano
Assisting in search heuristics selection through multidimensional supervised classification: A case study on software testing. Inf. Sci. 258 (2014)
Roberto Santana, Alexander Mendiburu, José Antonio Lozano
Customized Selection in Estimation of Distribution Algorithms. SEAL (2014)
Santiago Muelas, Alexander Mendiburu, Antonio LaTorre, José María Peña Sánchez
Distributed Estimation of Distribution Algorithms for continuous optimization: How does the exchanged information influence their behavior? Inf. Sci. 268 (2014)
Josu Ceberio, Ekhine Irurozki, Alexander Mendiburu, José Antonio Lozano
A Distance-Based Ranking Model Estimation of Distribution Algorithm for the Flowshop Scheduling Problem. IEEE Trans. Evol. Comput. 18 (2) (2014)
Josu Ceberio, Leticia Hernando, Alexander Mendiburu, José Antonio Lozano
Understanding Instance Complexity in the Linear Ordering Problem. IDEAL (2013)
Leticia Hernando, Alexander Mendiburu, José Antonio Lozano
Generating Customized Landscapes in Permutation-Based Combinatorial Optimization Problems. LION (2013)
Leticia Hernando, Alexander Mendiburu, José Antonio Lozano
An Evaluation of Methods for Estimating the Number of Local Optima in Combinatorial Optimization Problems. Evol. Comput. 21 (4) (2013)
Carlos Pérez-Miguel, José Miguel-Alonso, Alexander Mendiburu
High throughput computing over peer-to-peer networks. Future Gener. Comput. Syst. 29 (1) (2013)
Carlos Echegoyen, Alexander Mendiburu, Roberto Santana, José Antonio Lozano
On the Taxonomy of Optimization Problems Under Estimation of Distribution Algorithms. Evol. Comput. 21 (3) (2013)
Roberto Santana, Alexander Mendiburu, José Antonio Lozano
Critical Issues in Model-Based Surrogate Functions in Estimation of Distribution Algorithms. SEMCCO (2) (2013)
Roberto Santana, Alexander Mendiburu, José Antonio Lozano
Message Passing Methods for Estimation of Distribution Algorithms Based on Markov Networks. SEMCCO (2) (2013)
Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
The Plackett-Luce ranking model on permutation-based optimization problems. IEEE Congress on Evolutionary Computation (2013)

Alexander Mendiburu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Alexander Mendiburu