Edited Books:

1. B. Dorronsoro, F. Chicano, G. Danoy, E.-G. Talbi (eds.),Optimization and Learning, Sixth International Conference on Optimization and Learning, OLA 2023, Malaga, Spain, May 3-5, Proceedings, Communications in Computer and Information Science vol. 1824, Springer-Verlag, 2022. ISSN 1865-0929. ISBN 978-3-031-34019-2.
2. B. Dorronsoro, F. Yalaoui, E.-G. Talbi, G. Danoy (eds.), Metaheuristics and Nature Inspired Computing, 8th International Conference, META 2021, Marrakech, Morocco, October 27-30, 2021, Proceedings, Communications in Computer and Information Science vol. 1541, Springer-Verlag, 2022. ISSN 1865-0929. ISBN 978-3-031-22038-8.
3. B. Dorronsoro, M. Pavone, A. Nakib, E.-G. Talbi (eds.), Optimization and Learning, Fifth International Conference on Optimization and Learning, OLA 2022, Syracuse, Italy, July 18-20, Proceedings, Communications in Computer and Information Science vol. 1684, Springer-Verlag, 2022. ISSN 1865-0929. ISBN 978-3-030-85671-7.
4. B. Dorronsoro, L. Amodeo, M. Pavone, P. Ruiz (eds.), Optimization and Learning, Fourth International Conference on Optimization and Learning, OLA 2021, Catania, Italy, June 21-23, Proceedings, Communications in Computer and Information Science vol. 1443, Springer-Verlag, 2021. ISSN 1865-0929. ISBN 978-3-030-85671-7.
5. B. Dorronsoro, P. Ruiz, J.C. de La Torre, D. Urda-Muñoz and E.G. Talbi. (eds.) Optimization and Learning. Proceedings of the third International Conference on Optimization and Learning, OLA 2020, Cadiz, Spain, February 17-19, Communications in Computer and Information Science. Springer-Verlag, 2020.

Book Chapters:

1. David Peña, Renzo Massobrio, Bernabé Dorronsoro, Sergio Nesmachnow, and Patricia Ruiz. Designing a Sustainable Bus Transport System with High QoS using Computational Intelligence. Encyclopedia of Sustainable Technologies. Elsevier. 2022 (in press).
2. T. Macias-Escobar, L. Cruz-Reyes, B. Dorronsoro, A Study on the Use of Hyper-heuristics Based on Meta-Heuristics for Dynamic Optimization, in Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications, Studies in Computational Intelligence, vol 940. Springer, pp. 295-314, 2021. ISBN 978-3-030-68776-2.
3. Gómez-Ullate, D., Grandati, Y., & Milson, R. (2021). Spectral theory of exceptional Hermite polynomials. In From Operator Theory to Orthogonal Polynomials, Combinatorics, and Number Theory: A Volume in Honor of Lance Littlejohn’s 70th Birthday (pp. 173-196). Cham: Springer International Publishing.
4. Gómez-Ullate, D., Grandati, Y., McIntyre, Z., & Milson, R. (2020, August). Ladder operators and rational extensions. In Quantum Theory and Symmetries: Proceedings of the 11th International Symposium, Montreal, Canada (pp. 121-130). Cham: Springer International Publishing.

Journal Articles:

1. P. Ruiz, J. M. Aragon, M. Seredynski, J. F. Cabrera, D. Peña, J. C. de la Torre, A. Y. Zomaya, B. Dorronsoro, Optimal Battery Management Strategies for Plug-in Electric Hybrid Buses on Routes Including Green Corridors, Sustainable Cities and Sustainability, 94:104556, 2023. ISSN 2210-6707. IF: 10.696 (Q1).
2. A. Santiago, B. Dorronsoro, H.J. Fraire and P. Ruiz. Micro-Genetic algorithm with fuzzy selection of operators for multi-Objective optimization: 𝜇FAME. Swarm and Evolutionary Computation.Volume 61 (2021), 100818. 2021. (Q1 JCR)
3. C. Soto, E. Ángel-Martínez, H. Fraire, B. Dorronsoro, N. Rangel, L. Cruz-Reyes, Two novel Branch and Bound algorithms for the Vertex Bisection Problem, Expert Systems with Applications, vol. 190, paper 116169, pp. 1-9, 2022. ISSN 0957-4174. IF: 8.665 (Q1).
4. R. Massobrio, S. Nesmachnow, J. Muraña, B. Dorronsoro, Learning to optimize timetables for efficient transfers in public transportation systems, Applied Soft Computing, vol. 119, paper 108616, 2022. ISSN 1568-4946. IF: 8.263 (Q1)
5. R. Massobrio, S. Nesmachnow, F. Palomo-Lozano, B. Dorronsoro, Virtual Savant as a generic learning approach applied to the basic independent Next Release Problem, Applied Soft Computing, vol. 108, pp. 107374, 2021. ISSN 1568-4946. IF: 8.263 (Q1).
6. R. Magán-Carrión, D. Urda, I. Díaz-Cano, B. Dorronsoro, Improving the Reliability of Network Intrusion Detection Systems through Dataset Aggregation, IEEE Transactions on Emerging Topics in Computing, 10(4):1717-1732, 2022. ISSN 2168-6750. IF (in 2021): 6.595 (Q1 JCR)
7. D. Peña, A. Tchernykh, B. Dorronsoro and P. Ruiz . A Novel Multi- Objective Optimization Approach to Guarantee Quality of Service and Energy Efficiency in a Heterogeneous Bus Fleet System. Engineering Optimization 55(6):981997, 2023. ISSN 0305-215X. IF 2.50 (Q2)
8. R. Magán-Carrión, D. Urda, I. Díaz-Cano, B. Dorronsoro, Evaluating the Impact of Different Feature as a Counter Data Aggregation Approaches on the Performance of NIDSs and Their Selected Features, Logic Journal of the IGPL, in press, 2023. ISSN 1367-0751. IF: 0.868 (Q2.
9. Precioso, D., & Gómez-Ullate, D. (2023). Thresholding methods in non-intrusive load monitoring. The Journal of Supercomputing, 1-24. ISSN 0920-8542.  IF: 2.56 (Q2)
10. Ruiz-Zafra, A., Precioso, D., Salvador, B., Lubián-López, S.P., Jiménez, J., Benavente-Fernández, I., Pigueiras, J., Gómez-Ullate, D. and Gontard, L.C., 2023. NeoCam: An edge-cloud platform for non-invasive real-time monitoring in neonatal intensive care units. IEEE Journal of Biomedical and Health Informatics. ISSN: 2168-2194. IF: 7.021 ; 4/38 (Q1)
11. Barbeito, I., Precioso, D., Sierra, M.J., Vegas-Azcárate, S., Fernández Balbuena, S., Vitoriano, B., Goméz-Ullate, D., Cao, R. and Monge Corella, S., 2023. Effectiveness of non-pharmaceutical interventions in nine fields of activity to decrease SARS-CoV-2 transmission (Spain, September 2020–May 2021) Frontiers in Public Health, ISSN: 2296-2565 IF: 6.461 (Q1)
12. Butt, Fatima Sajid, Matthias F. Wagner, Jörg Schäfer, and David Gomez Ullate. “Toward Automated Feature Extraction for Deep Learning Classification of Electrocardiogram Signals.” IEEE Access 10 (2022): 118601-118616. ISSN: 2169-3536, IF: 3.476 79/164 (Q2)
13. Precioso, D., Navarro-García, M., Gavira-O’Neill, K., Torres-Barrán, A., Gordo, D., Gallego, V., & Gómez-Ullate, D. (2022). TUN-AI: Tuna biomass estimation with Machine Learning models trained on oceanography and echosounder FAD data. Fisheries Research, 250, 106263. ISSN: 0165-7836  IF: 2.817 (Q1)
14. Butt, F. S., La Blunda, L., Wagner, M. F., Schäfer, J., Medina-Bulo, I., & Gómez-Ullate, D. (2021). Fall detection from electrocardiogram (ecg) signals and classification by deep transfer learning. Information, 12(2), 63. ISSN: 2078-2489.
15. García‐Ferrero, M. Á., Gómez‐Ullate, D., Milson, R., & Munday, J. (2022). Exceptional Gegenbauer polynomials via isospectral deformation. Studies in Applied Mathematics, 149(2), 324-363. ISSN: 0022-2526. IF: 2.343 (Q1)
16. García-Ferrero, María Ángeles, David Gómez-Ullate, and Robert Milson. “Exceptional Legendre polynomials and confluent Darboux transformations.” SIGMA. Symmetry, Integrability and Geometry: Methods and Applications 17 (2021): 016. ISSN: 1815-0659 IF: 0.856  (Q3)
17. Gómez-Ullate, David, Yves Grandati, and Robert Milson. “Complete classification of rational solutions of A2n-Painlevé systems.” Advances in Mathematics 385 (2021): 107770. ISSN: 0001-8708. IF: 1.675 (Q1)
18. David Peña, Renzo Massobrio, Juan Carlos de la Torre, Bernabé Dorronsoro and Patricia Ruiz. A Two-step Optimization Process for Efficient Scheduling of Heterogeneous Fleets of Electric Buses with Synchronized Transfers. Transportation Research Procedia. 2022 (in press)

Conferences:

1. J. C. de la Torre, P. Ruiz, P. Galindo, B. Dorronsoro, A Surrogate Optimization Method for Automatically Generating Greener Software Using LLVM, Proc. of the International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME 2023), in press, 2023.
2. P. Ruiz, M. Seredynski, A. Torné, B. Dorronsoro, A Digital Twin for the Bus Operation in Public Urban Transportation Systems, The 2022 International Conference on Future Computing Paradigm (FCP 2022), in press, 2022. Best Paper Award.
3. D. Peña, R. Massobrio, J. C. de la Torre, B. Dorronsoro, P. Ruiz, A Two-step Optimization Process for Efficient Scheduling of Heterogeneous Fleets of Electric Buses with Synchronized Transfers, Transport Research Arena (TRA) Conference, in press, 2022.
4. D. Peña, B. Dorronsoro, A. Tchernykh, P. Ruiz, Public transport timetable and charge optimization using multiple electric buses types, Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO), 751–754, ACM, 2022.
5. J. C. de la Torre, J. M. Aragón-Jurado, J. Jareño, S. Varrette, B. Dorronsoro, Obfuscating LLVM Intermediate Representation Source Code with NSGA-II, 15th International Conference on Computational Intelligence in Security for Information Systems (CISIS), Salamanca, Spain, Lecture Notes in Networks and Systems series vol. 532, Springer, pp. 181-191, 2023
6. J. M. Aragón-Jurado, J. C. de la Torre, E.-G. Talbi, B. Dorronsoro, A Study on the Influence of Runtime Uncertainty in the Optimization of Software Programs, The 8th International Conference on Metaheuristics and Nature Inspired Computing (META), pp. 180-183, Marrakech, Morocco, 2021
7. C. Benito-Jareño, J. C. de la Torre, P. Bouvry, B. Dorronsoro, Enhancing the Performance of Software Programs for Devices with Limited Computing Capacity, The 8th International Conference on Metaheuristics and Nature Inspired Computing (META), pp. 184-187, Marrakech, Morocco, 2021
8. R. Magán-Carrión, D. Urda, I. Díaz-Cano, B. Dorronsoro. Assessing the impact of batch-based data aggregation techniques for feature engineering on machine learning-based Network IDSs, 14th International Conference on Computational Intelligence in Security for Information Systems (CISIS), Bilbao, Spain, pp. 116-125, vol. 1400, Advances in Intelligent Systems and Computing series, Springer, 2021. ISBN 978-3-030-87871-9
9. P. Ruiz, J. C. de la Torre, R. Massobrio, P. Moreno, M. Seredynski, B. Dorronsoro. A Recommendation System for Efficient PEH Bus Operation Based on Unsupervised Machine Learning, Optimization and Learning, Fourth International Conference on Optimization and Learning, OLA 2021, Catania, Italy, pp. 423-425, 2021. ISSN 1865-0929.
10. D. Peña, P. Ruiz, A. Tchernykh, B. Dorronsoro. Multi-Objective Optimization Model for Sustainable Urban Transportation Ensuring the Quality of Service, Optimization and Learning, Fourth International Conference on Optimization and Learning, OLA 2021, Catania, Italy, pp. 401-403, 2021. ISSN 1865-0929
11. Precioso, Daniel, and David Gómez-Ullate. “Non-Intrusive Load Monitoring using Multi-Output CNNs.” 2021 IEEE Madrid PowerTech. IEEE, 2021.