José Antonio Lozano

ORCID

Publication Activity (10 Years)

Years Active: 1994-2023
Publications (10 Years): 149

Top Venues

CoRR

CEC

IEEE Trans. Evol. Comput.

CAEPIA

Publications

Onintze Zaballa, Aritz Pérez, Elisa Gómez-Inhiesto, Teresa Acaiturri Ayesta, José Antonio Lozano
Learning the progression patterns of treatments using a probabilistic generative model. J. Biomed. Informatics 137 (2023)
Abolfazl Shirazi, Josu Ceberio, José Antonio Lozano
Trajectory optimization of space vehicle in rendezvous proximity operation with evolutionary feasibility conserving techniques. Eng. Appl. Artif. Intell. 117 (Part) (2023)
Marco Capó, Aritz Pérez, José Antonio Lozano
LASSO for streaming data with adaptative filtering. Stat. Comput. 33 (1) (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)
Jon Vadillo, Roberto Santana, José Antonio Lozano
Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions. J. Mach. Learn. Res. 24 (2023)
Ainhize Barrainkua, Paula Gordaliza, José Antonio Lozano, Novi Quadrianto
Uncertainty in Fairness Assessment: Maintaining Stable Conclusions Despite Fluctuations. CoRR (2023)
Ander Carreño, Iñaki Inza, José Antonio Lozano
SNDProb: A Probabilistic Approach for Streaming Novelty Detection. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
César Montenegro, Roberto Santana, José Antonio Lozano
Introducing multi-dimensional hierarchical classification: Characterization, solving strategies and performance measures. Neurocomputing 533 (2023)
Jon Vadillo, Roberto Santana, José Antonio Lozano
Analysis of dominant classes in universal adversarial perturbations. Knowl. Based Syst. 236 (2022)
Ainhize Barrainkua, Paula Gordaliza, José Antonio Lozano, Novi Quadrianto
A Survey on Preserving Fairness Guarantees in Changing Environments. CoRR (2022)
Mario Martínez-García, Susana García-Gutierrez, Rubén Armañanzas, Adrián Díaz, Iñaki Inza, José Antonio Lozano
Learning a Battery of COVID-19 Mortality Prediction Models by Multi-objective Optimization. AIME (2022)
Imanol Unanue, María Merino, José Antonio Lozano
A mathematical analysis of EDAs with distance-based exponential models. Memetic Comput. 14 (3) (2022)
Verónica Álvarez, Santiago Mazuelas, José Antonio Lozano
Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees. ICML (2022)
Amaia Abanda, Usue Mori, José Antonio Lozano
Time series classifier recommendation by a meta-learning approach. Pattern Recognit. 128 (2022)
Anne Elorza, Leticia Hernando, José Antonio Lozano
Transitions from P to NP-hardness: the case of the Linear Ordering Problem. CEC (2022)
Gia Sirbiladze, Janusz Kacprzyk, José Antonio Lozano, Bezhan Ghvaberidze, Bidzina Midodashvili, Bidzina Matsaberidze
Fuzzy Model of Humanitarian Relief Logistics for the Shelters' Location in the Disaster Region and Evacuation of Population. IS (2022)
Marco Capó, Aritz Pérez, José Antonio Lozano
An Efficient Split-Merge Re-Start for the $K$K-Means Algorithm. IEEE Trans. Knowl. Data Eng. 34 (4) (2022)
Jairo Rojas-Delgado, Josu Ceberio, Borja Calvo, José Antonio Lozano
Bayesian Performance Analysis for Algorithm Ranking Comparison. IEEE Trans. Evol. Comput. 26 (6) (2022)
Izaskun Oregi, Aritz Pérez, Javier Del Ser, José Antonio Lozano
An active adaptation strategy for streaming time series classification based on elastic similarity measures. Neural Comput. Appl. 34 (16) (2022)
Abolfazl Shirazi, Josu Ceberio, José Antonio Lozano
EDA++: Estimation of Distribution Algorithms With Feasibility Conserving Mechanisms for Constrained Continuous Optimization. IEEE Trans. Evol. Comput. 26 (5) (2022)
Anne Elorza, Leticia Hernando, José Antonio Lozano
Transitions from P to NP-hardness: the case of the Linear Ordering Problem. CoRR (2022)
Gia Sirbiladze, Janusz Kacprzyk, José Antonio Lozano, Bezhan Ghvaberidze, Bidzina Midodashvili, Bidzina Matsaberidze
Fuzzy Approach to Planning of Service Centers Location and Goods Transportation Routes in the Disaster Region. IS (2022)
Verónica Álvarez, Santiago Mazuelas, José Antonio Lozano
Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees. CoRR (2022)
Josu Ircio, Aizea Lojo, José Antonio Lozano, Usue Mori
A Multivariate Time Series Streaming Classifier for Predicting Hard Drive Failures [Application Notes]. IEEE Comput. Intell. Mag. 17 (1) (2022)
Amaia Abanda, Usue Mori, José Antonio Lozano
Ad-hoc explanation for time series classification. Knowl. Based Syst. 252 (2022)
Gia Sirbiladze, Janusz Kacprzyk, José Antonio Lozano, Bezhan Ghvaberidze, Bidzina Midodashvili, Bidzina Matsaberidze
Fuzzy Approach for the Temporary Logistics Hubs' Selection Planning in Disaster Region. IS (2022)
Jairo Rojas-Delgado, J. A. Jiménez, Rafael Bello, José Antonio Lozano
Hyper-parameter Optimization Using Continuation Algorithms. MIC (2022)
César Montenegro, Roberto Santana, José Antonio Lozano
Analysis of the sensitivity of the End-Of-Turn Detection task to errors generated by the Automatic Speech Recognition process. Eng. Appl. Artif. Intell. 100 (2021)
Javier Mikel Olaso, Alain Vázquez, Leila Ben Letaifa, Mikel de Velasco, Aymen Mtibaa, Mohamed Amine Hmani, Dijana Petrovska-Delacrétaz, Gérard Chollet, César Montenegro, Asier López-Zorrilla, Raquel Justo, Roberto Santana, Jofre Tenorio-Laranga, Eduardo González-Fraile, Begoña Fernández-Ruanova, Gennaro Cordasco, Anna Esposito, Kristin Beck Gjellesvik, Anna Torp Johansen, Maria Stylianou Kornes, Colin Pickard, Cornelius Glackin, Gary Cahalane, Pau Buch-Cardona, Cristina Palmero, Sergio Escalera, Olga Gordeeva, Olivier Deroo, Anaïs Fernández, Daria Kyslitska, José Antonio Lozano, María Inés Torres, Stephan Schlögl
The EMPATHIC Virtual Coach: a demo. ICMI (2021)
Ane Blázquez-García, Angel Conde, Usue Mori, José Antonio Lozano
Water leak detection using self-supervised time series classification. Inf. Sci. 574 (2021)
Marco Capó, Aritz Pérez, José Antonio Lozano
A Cheap Feature Selection Approach for the K-Means Algorithm. IEEE Trans. Neural Networks Learn. Syst. 32 (5) (2021)
Gorka Kobeaga, María Merino, José Antonio Lozano
On solving cycle problems with Branch-and-Cut: extending shrinking and exact subcycle elimination separation algorithms. Ann. Oper. Res. 305 (1) (2021)
Jon Vadillo, Roberto Santana, José Antonio Lozano
When and How to Fool Explainable Models (and Humans) with Adversarial Examples. CoRR (2021)
M. Inés Torres, Javier Mikel Olaso, César Montenegro, Roberto Santana, Alain Vázquez, Raquel Justo, José Antonio Lozano, Stephan Schlögl, Gérard Chollet, Nazim Dugan, M. Irvine, Neil Glackin, Colin Pickard, Anna Esposito, Gennaro Cordasco, Alda Troncone, Dijana Petrovska-Delacrétaz, Aymen Mtibaa, Mohamed Amine Hmani, Maria Stylianou Korsnes, L. J. Martinussen, Sergio Escalera, Cristina Palmero Cantariño, Olivier Deroo, Olga Gordeeva, Jofre Tenorio-Laranga, Eduardo Gonzalez-Fraile, Begonya Fernandez-Ruanova, A. Gonzalez-Pinto
The EMPATHIC Project: Mid-term Achievements. CoRR (2021)
Javier Moreno, Daniel Rodríguez, Antonio J. Nebro, José Antonio Lozano
Merge Nondominated Sorting Algorithm for Many-Objective Optimization. IEEE Trans. Cybern. 51 (12) (2021)
Ane Blázquez-García, Angel Conde, Usue Mori, José Antonio Lozano
A Review on Outlier/Anomaly Detection in Time Series Data. ACM Comput. Surv. 54 (3) (2021)
Imanol Unanue, María Merino, José Antonio Lozano
A General Framework Based on Walsh Decomposition for Combinatorial Optimization Problems. CEC (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)
Jon Vadillo, Roberto Santana, José Antonio Lozano
Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions. CoRR (2020)
Izaskun Oregi, Javier Del Ser, Aritz Pérez, José Antonio Lozano
Robust image classification against adversarial attacks using elastic similarity measures between edge count sequences. Neural Networks 128 (2020)
Marco Capó, Aritz Pérez, José Antonio Lozano
An efficient K-means clustering algorithm for tall data. Data Min. Knowl. Discov. 34 (3) (2020)
Ane Blázquez-García, Angel Conde, Usue Mori, José Antonio Lozano
A review on outlier/anomaly detection in time series data. CoRR (2020)
Jon Vadillo, Roberto Santana, José Antonio Lozano
Exploring Gaps in DeepFool in Search of More Effective Adversarial Perturbations. LOD (2) (2020)
Josu Ircio, Aizea Lojo, Usue Mori, José Antonio Lozano
Mutual information based feature subset selection in multivariate time series classification. Pattern Recognit. 108 (2020)
Gorka Kobeaga, María Merino, José Antonio Lozano
A revisited branch-and-cut algorithm for large-scale orienteering problems. CoRR (2020)
Leticia Hernando, Alexander Mendiburu, José Antonio Lozano
Journey to the center of the linear ordering problem. GECCO (2020)
Gorka Kobeaga, María Merino, José Antonio Lozano
On Solving Cycle Problems with Branch-and-Cut: Extending Shrinking and Exact Subcycle Elimination Separation Algorithms. CoRR (2020)
César Montenegro, Roberto Santana, José Antonio Lozano
. IJCNN (2020)
Jon Vadillo, Roberto Santana, José Antonio Lozano
Analysis of Dominant Classes in Universal Adversarial Perturbations. CoRR (2020)
Verónica Álvarez, Santiago Mazuelas, José Antonio Lozano
Probabilistic Load Forecasting Based on Adaptive Online Learning. CoRR (2020)
Ander Carreño, Iñaki Inza, José Antonio Lozano
Analyzing rare event, anomaly, novelty and outlier detection terms under the supervised classification framework. Artif. Intell. Rev. 53 (5) (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)
Imanol Unanue, María Merino, José Antonio Lozano
A mathematical analysis of EDAs with distance-based exponential models. GECCO (Companion) (2019)
Jerónimo Hernández-González, Iñaki Inza, Igor Granado, Oihane C. Basurko, Jose A. Fernandes, José Antonio Lozano
Aggregated outputs by linear models: An application on marine litter beaching prediction. Inf. Sci. 481 (2019)
Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano
Evolving Gaussian Process Kernels for Translation Editing Effort Estimation. LION (2019)
Jerónimo Hernández-González, Iñaki Inza, José Antonio Lozano
A Note on the Behavior of Majority Voting in Multi-Class Domains with Biased Annotators. IEEE Trans. Knowl. Data Eng. 31 (1) (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)
Izaskun Oregi, Aritz Pérez, Javier Del Ser, José Antonio Lozano
On-line Elastic Similarity Measures for time series. Pattern Recognit. 88 (2019)
César Montenegro, Asier López-Zorrilla, Javier Mikel Olaso, Roberto Santana, Raquel Justo, José Antonio Lozano, María Inés Torres
A Dialogue-Act Taxonomy for a Virtual Coach Designed to Improve the Life of Elderly. Multimodal Technol. Interact. 3 (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)
César Montenegro, Roberto Santana, José Antonio Lozano
Data generation approaches for topic classification in multilingual spoken dialog systems. PETRA (2019)
María Inés Torres, Javier Mikel Olaso, César Montenegro, Roberto Santana, Alain Vázquez, Raquel Justo, José Antonio Lozano, Stephan Schlögl, Gérard Chollet, Nazim Dugan, M. Irvine, Neil Glackin, Colin Pickard, Anna Esposito, Gennaro Cordasco, Alda Troncone, Dijana Petrovska-Delacrétaz, Aymen Mtibaa, Mohamed Amine Hmani, Maria Stylianou Korsnes, L. J. Martinussen, Sergio Escalera, Cristina Palmero Cantariño, Olivier Deroo, Olga Gordeeva, Jofre Tenorio-Laranga, Eduardo Gonzalez-Fraile, Begoñya Fernández-Ruanova, A. Gonzalez-Pinto
The EMPATHIC project: mid-term achievements. PETRA (2019)
José Antonio Lozano, Ke Tang, Xin Yao
Preface. Nat. Comput. 18 (2) (2019)
Ibai Roman, Alexander Mendiburu, Roberto Santana, José Antonio Lozano
Bayesian Optimization Approaches for Massively Multi-modal Problems. LION (2019)
Diana Carrera, Lourenço Bandeira, Roberto Santana, José Antonio Lozano
Detection of sand dunes on Mars using a regular vine-based classification approach. Knowl. Based Syst. 163 (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)
Borja Calvo, Ofer M. Shir, Josu Ceberio, Carola Doerr, Hao Wang, Thomas Bäck, José Antonio Lozano
Bayesian performance analysis for black-box optimization benchmarking. GECCO (Companion) (2019)
Anne Elorza, Leticia Hernando, José Antonio Lozano
Taxonomization of Combinatorial Optimization Problems in Fourier Space. 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)
Erik Garcia, Josu Ceberio, José Antonio Lozano
Hybrid Heuristics for the Linear Ordering Problem. CEC (2019)
Amaia Abanda, Usue Mori, José Antonio Lozano
A review on distance based time series classification. Data Min. Knowl. Discov. 33 (2) (2019)
Anne Elorza, Leticia Hernando, Alexander Mendiburu, José Antonio Lozano
Estimating attraction basin sizes of combinatorial optimization problems. Prog. Artif. Intell. 7 (4) (2018)
Aritz Pérez, Christian Blum, José Antonio Lozano
Approximating the maximum weighted decomposable graph problem with applications to probabilistic graphical models. PGM (2018)
Izaskun Oregi, Javier Del Ser, Aritz Pérez, José Antonio Lozano
Adversarial Sample Crafting for Time Series Classification with Elastic Similarity Measures. IDC (2018)
Jerónimo Hernández-González, Daniel Rodríguez, Iñaki Inza, Rachel Harrison, José Antonio Lozano
Learning to classify software defects from crowds: A novel approach. Appl. Soft Comput. 62 (2018)
Gorka Kobeaga, María Merino, José Antonio Lozano
An efficient evolutionary algorithm for the orienteering problem. Comput. Oper. Res. 90 (2018)
Jesús Félez, Carlos García Sánchez, José Antonio Lozano
Control Design for an Articulated Truck With Autonomous Driving in an Electrified Highway. IEEE Access 6 (2018)
Diana Carrera, Roberto Santana, José Antonio Lozano
The Relationship Between Graphical Representations of Regular Vine Copulas and Polytrees. IPMU (3) (2018)
Borja Calvo, Josu Ceberio, José Antonio Lozano
Bayesian inference for algorithm ranking analysis. GECCO (Companion) (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)
Pedro Pinacho Davidson, Christian Blum, José Antonio Lozano
The weighted independent domination problem: Integer linear programming models and metaheuristic approaches. Eur. J. Oper. Res. 265 (3) (2018)
Leticia Hernando, Alexander Mendiburu, José Antonio Lozano
Hill-Climbing Algorithm: Let's Go for a Walk Before Finding the Optimum. CEC (2018)
Pablo Rozas Larraondo, Iñaki Inza, José Antonio Lozano
A system for airport weather forecasting based on circular regression trees. Environ. Model. Softw. 100 (2018)
Aritz Pérez, Josu Ceberio, José Antonio Lozano
Are the Artificially Generated Instances Uniform in Terms of Difficulty? CEC (2018)
Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
Distance-based exponential probability models on constrained combinatorial optimization problems. GECCO (Companion) (2018)
Marco Capó, Aritz Pérez, José Antonio Lozano
An efficient K -means clustering algorithm for massive data. CoRR (2018)
Javier Moreno, Daniel Rodríguez, Antonio J. Nebro, José Antonio Lozano
Merge Non-Dominated Sorting Algorithm for Many-Objective Optimization. CoRR (2018)
Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
Distance-Based Exponential Probability Models for Constrained Combinatorial Problems. CAEPIA (2018)
Jose Antonio Pascual, José Antonio Lozano, José Miguel-Alonso
Effects of Reducing VMs Management Times on Elastic Applications. J. Grid Comput. 16 (3) (2018)
Amaia Abanda, Usue Mori, José Antonio Lozano
A review on distance based time series classification. CoRR (2018)
Olacir R. Castro Jr., Roberto Santana, José Antonio Lozano, Aurora T. R. Pozo
Combining CMA-ES and MOEA/DD for many-objective optimization. CEC (2017)
Roberto Santana, José Antonio Lozano
Different scenarios for survival analysis of evolutionary algorithms. GECCO (2017)
Jonathan Ortigosa-Hernández, Iñaki Inza, José Antonio Lozano
Measuring the class-imbalance extent of multi-class problems. Pattern Recognit. Lett. 98 (2017)
Pedro Pinacho Davidson, Christian Blum, José Antonio Lozano
The Weighted Independent Domination Problem: ILP Model and Algorithmic Approaches. EvoCOP (2017)
Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
Are we generating instances uniformly at random? CEC (2017)

José Antonio Lozano.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

José Antonio Lozano