2024
- Novillo, Á., Aceña, V., Lancho, C., Cuesta, M., De Diego, I.M. (2025). Padel Two-Dimensional
Tracking Extraction from Monocular Video Recordings. In: Julian, V., et al. Intelligent Data
Engineering and Automated Learning – IDEAL 2024. IDEAL 2024. Lecture Notes in Computer Science,
vol 15346. Springer, Cham. https://doi.org/10.1007/978-3-031-77731-8_11
- Saugar, J., Lancho, C., Cuesta, M., Cano, E.L., de Diego, I.M., Amado, A. (2025). Counterfactual
Explanations for Sustainable Tourism Indicators. In: Julian, V., et al. Intelligent Data
Engineering and Automated Learning – IDEAL 2024. IDEAL 2024. Lecture Notes in Computer Science,
vol 15346. Springer, Cham. https://doi.org/10.1007/978-3-031-77731-8_20
- Alonso Barriuso, A., Fernández-Isabel, A., Martín de Diego, I., Ardoiz, A., & Viseu Pinheiro, J. F. (2024).
Recommendation system of scientific articles from discharge summaries. Engineering Applications of Artificial
Intelligence, 136, 109028. https://doi.org/10.1016/j.engappai.2024.109028
- Cuesta, M., Lancho, C., Fernández-Isabel, A., Cano, E. L., & Martín De Diego, I. (2024). CSViz:
Class Separability Visualization for high-dimensional datasets. Applied Intelligence, 54(1),
924-946. Springer US. https://www.doi.org/10.1007/s10489-023-05149-4
- Aceña, V., Lancho, C., Martín de Diego, I., Moguerza, J. M., & Lee, D.-J. (2024). Dynamic
Disagreeing Neighbors: A complexity measure for instance selection.
- Martín de Diego, I., Prieto, J. C., Fernández-Isabel, A., Gomez, J., & Alfaro, C. (2024).
Framework for scoring the scientific reputation of researchers. Knowledge and Information
Systems, 1-23. Springer London. https://www.doi.org/10.1007/s10115-024-02071-0
- Navarro, J., Fernández, R. R., Aceña, V., Fernández-Isabel, A., Lancho, C., & Martín de Diego,
I. (2024, April). Real-time classification of cattle behavior using Wireless Sensor Networks.
Internet of Things, 25, 101008. Elsevier.https://doi.org/10.1016/j.iot.2023.101008
2023
- Ortega, F., Algar, M. J., Martín de Diego, I., & Moguerza, J. M. (2023). Unconventional
application of k-means for distributed approximate similarity search. Information Sciences, 619,
208-234. Elsevier.
- Fernández-Isabel, A., Martín de Diego, I., Cuesta, M., Lancho, C., & Moguerza, J.M. (2023).
DSGAME KIDS: Learning Data Science Projects Through a Storytelling Board Game. In INTED2023
Proceedings (pp. 908-917). IATED.
- López Cano, E., Cuesta, M., Lancho, C., Alfaro, C., Algar, M.J., Alonso-Ayuso, A.,
Fernández-Isabel, A., Gomez, J., Martin de Diego, I., Moguerza, J., Ortega, F., & Udias, A.
(2023). DSEXAMS: Massive and Automated Generation of Randomized Multipurpose Questionnaires. In
EDULEARN23 Proceedings (pp. 1620-1627). IATED.
- Cuesta, M., Lancho, C., Martín de Diego, I., Fernández-Isabel, A., Cano, E. L., & Moguerza, J.
M. (2023). Empowering Academic Performance: Data-Driven Mentoring for Personalized Education
Through Learning Analytics. In ICERI2023 Proceedings (pp. 1833-1840). IATED.
- Lancho, C., Martín de Diego, I., Cuesta, M., Aceña, V., & Moguerza, J. M. (2023, July).
Hostility measure for multi-level study of data complexity. Applied Intelligence, 53(7),
8073-8096. Springer US. https://doi.org/10.1007/s10489-022-03793-w
- Aceña Gil, V. C. (2023, May). Métodos de muestreo para la mejora de rendimiento en
clasificadores de aprendizaje automático. Universidad Rey Juan Carlos. https://hdl.handle.net/10115/30399
- Fernández-Isabel, A., Cabezas, J., Moctezuma, D., & Martín de Diego, I. (2023). Improving
sentiment classification performance through coaching architectures. Cognitive Computation,
15(3), 1065-1081. Springer US. https://www.doi.org/10.1007/s12559-022-10018-2
- Peribáñez, A. D., Fernández-Isabel, A., Martín de Diego, I., Condado, A., & Moguerza, J. M.
(2023). Extracting Knowledge from Incompletely Known Models. In International Conference on
Intelligent Data Engineering and Automated Learning (pp. 257-268). Springer Nature Switzerland.
- Lancho, C., de Souto, M. C. P., Lorena, A. C., & Martín de Diego, I. (2023). Complexity-Driven
Sampling for Bagging. In International Conference on Intelligent Data Engineering and Automated
Learning (pp. 15-21). Springer Nature Switzerland.
- González Fernández, C., Martín De Diego, I., Ferández-Isabel, A., Viseu Pinheiro, J. F. J., &
Alonso, A. (2023). Detecting Low-Credibility Medical Websites through Semi-Supervised Learning
Techniques. IEEE Access. IEEE. https://www.doi.org/10.1109/ACCESS.2023.3341756
- Castro-Olmo, F. J., Morales-Fernández, P., Alcaide-Martín, M. J., & otros. (2023, March). Is
minimising waste volume for drawing blood samples in critically ill patients feasible?.
Enfermería Intensiva (English ed.), 34(1), 19-26. https://doi.org/10.1016/j.enfie.2022.06.002
- Castro-Olmo, F. J., Morales-Fernández, P., Alcaide-Martín, M. J., & otros. (2023, March).
Minimizar el volumen de descarte para la extracción de muestras sanguíneas en los pacientes
críticos: ¿es factible?. Enfermería Intensiva, 34(1), 19-26. https://doi.org/10.1016/j.enfi.2022.06.004
- Aceña, V., Martín de Diego, I., Fernández, R. R., & Moguerza, J. M. (2023, February). Support
subsets estimation for support vector machines retraining. Pattern Recognition, 134, 109117.
Pergamon. https://doi.org/10.1016/j.patcog.2022.109117
2022
- Lancho, C., Cuesta, M., Martín de Diego, I., Cano, E. L., Fernández-Isabel, A., & Gómez Miguel,
J. (2022). Early student detection for improvement of academic results using machine learning
models. In EDULEARN22 Proceedings (pp. 6177-6185).
- Navarro, J., Martín de Diego, I., & Redondo, A. R. (2022). Time series representation for
information gathering via low resolution wireless sensor networks. International Journal of
Sensor Networks, 40(1), 57-66. Inderscience Publishers (IEL).
- Martín de Diego, I., Fernández-Isabel, A., San Román, I., Conde, C., & Cabello, E. (2022). Novel
context-aware methodology for risk assessment in intelligent video-surveillance systems.
International Journal of Sensor Networks, 40(3), 145-159. https://www.doi.org/10.1504/IJSNET.2022.127121
- Cuenca, W., González-Fernández, C., Fernández-Isabel, A., Martín de Diego, I., & Martín, A. G.
(2022). Combining conceptual graphs and sentiment analysis for fake news detection. In
Computational Intelligence and Mathematics for Tackling Complex Problems 2 (pp. 129-138).
Springer International Publishing.
- Navarro, J., Martín de Diego, I., Fernández, R. R., & Moguerza, J. M. (2022). Triangle-based
outlier detection. Pattern Recognition Letters, 156, 152-159.
- Martín, A. G., Martín de Diego, I., Fernández-Isabel, A., Beltrán, M., & Fernández, R. R.
(2022). Combining user behavioural information at the feature level to enhance continuous
authentication systems. Knowledge-Based Systems, 244, 108544. https://www.doi.org/10.1016/j.knosys.2022.108544
- Martín De Diego, I., Redondo, A. R., Fernández, R. R., Navarro, J., & Moguerza, J. M. (2022).
General Performance Score for classification problems. Applied Intelligence, 52, 12049-12063.
- Moreno, R., Viajes, M., Fernández-Isabel, A., Martín de Diego, I., Moguerza, J. M., Lancho, C.,
& Cuesta, M. (2022). Automatic detection of potential customers by opinion mining and
intelligent agents. In 2022 17th Conference on Computer Science and Intelligence Systems
(FedCSIS) (pp. 93-101). IEEE.
- Martín de Diego, I., Riera-Arnau, J., Bots, S., Belitser, S., Messina, D., Schultze, A.,
Douglas, I., Duran, C., Poza, P. G., Gini, R., Herings, R. M. C., Sisay, M. M., Martin, I.,
Villalobos, F., Klungel, O. H., & Sturkenboom, M. (2022). Association between SARS-CoV-2
Vaccines and Myoand Pericarditis; a Large Observational Study Using Electronic Healthcare Data
from Four European Countries. Drug Safety, 45(10), 1305-1306. Springer Nature BV.
- Aceña, V., Martín de Diego, I., Fernández, R. R., & Moguerza, J. M. (2022, October). Minimally
overfitted learners: a general framework for ensemble learning. Knowledge-Based Systems, 254,
109669. https://doi.org/10.1016/j.knosys.2022.109669
- Fernández, R. R., Martín de Diego, I., Moguerza, J. M., & Herrera, F. (2022). Explanation sets: A general framework
for machine learning explainability. Information Sciences, 617, 464-481. https://doi.org/10.1016/j.ins.2022.10.084
2021
- Lancho, C., Martín de Diego, I., Cuesta, M., Aceña, V., & Moguerza, J. M. (2021, November). A
complexity measure for binary classification problems based on lost points. In Intelligent Data
Engineering and Automated Learning―IDEAL 2021: 22nd (pp. 137-146). Springer. https://doi.org/10.1007/978-3-030-91608-4_14
- Cuesta, M., Martín de Diego, I., Lancho, C., Aceña, V., & Moguerza, J. M. (2021, November). From
Classification to Visualization: A Two Way Trip. In Intelligent Data Engineering and Automated
Learning―IDEAL 2021: 22nd (pp. 289-299). Springer. https://doi.org/10.1007/978-3-030-91608-4_29
- González-Fernández, C., Fernández-Isabel, A., Martín de Diego, I., Fernández, R. R., & Viseu
Pinheiro, J. F. J. (2021). Experts perception-based system to detect misinformation in health
websites. Pattern Recognition Letters, 152, 333-339. https://www.doi.org/10.1016/j.patrec.2021.11.008
- Navarro, J., Martín de Diego, I., Carballo Pérez, P., & Ortega, F. (2021). Outlier detection in
animal multivariate trajectories. Computers and Electronics in Agriculture, 190, 106401.
- González de Villaumbrosia, C., Sáez López, P., Martín de Diego, I., Lancho Martín, C., Cuesta
Santa Teresa, M., Alarcón, T., ... & González-Montalvo, J. I. (2021). Predictive model of gait
recovery at one month after hip fracture from a national cohort of 25,607 patients: the Hip
Fracture Prognosis (HF-Prognosis) tool. International journal of environmental research and
public health, 18(7), 3809.
- Moguerza, J. M., Perelló Oliver, S., Martín de Diego, I., Aceña, V., Lancho, C., Cuesta, M., &
González Fernández, C. (2021, May). Health Sufficiency Indicators for Pandemic Monitoring.
International Journal of Environmental Research and Public Health, 18(10), 5358. https://doi.org/10.3390/ijerph18105358
- Prieto, J. C., Fernández-Isabel, A., Martín de Diego, I., Ortega, F., & Moguerza, J. M. (2021).
Knowledge-Based Approach to Detect Potentially Risky Websites. IEEE Access, 9, 11633-11643. https://www.doi.org/10.1109/ACCESS.2021.3051374
- Martín, A. G., Fernández-Isabel, A., Martín de Diego, I., & Beltrán, M. (2021). A survey for
user behavior analysis based on machine learning techniques: current models and applications.
Applied Intelligence, 1-27. https://www.doi.org/10.1007/s10489-020-02160-x
- Martín, A. G., Fernández-Isabel, A., González-Fernández, C., Lancho, C., Cuesta, M., & Martín de
Diego, I. (2021). Suspicious news detection through semantic and sentiment measures. Engineering
Applications of Artificial Intelligence, 101, 104230. https://www.doi.org/10.1016/j.engappai.2021.104230
- Martín, A. G., Beltrán, M., Fernández-Isabel, A., & Martín de Diego, I. (2021). An approach to
detect user behaviour anomalies within identity federations. Computers & Security, 102356. https://www.doi.org/10.1016/j.cose.2021.102356
- Martín de Diego, I., González-Fernández, C., Fernández-Isabel, A., Fernández, R. R., & Cabezas,
J. (2021). System for evaluating the reliability and novelty of medical scientific papers.
Journal of Informetrics, 15(4), 101188. https://www.doi.org/10.1016/j.joi.2021.101188
- Cabezas, J., Moctezuma, D., Fernández-Isabel, A., & Martín de Diego, I. (2021). Detecting
Emotional Evolution on Twitter during the COVID-19 Pandemic Using Text Analysis. International
Journal of Environmental Research and Public Health, 18(13), 6981. https://www.doi.org/10.3390/ijerph18136981
- Cano, E. L., García-Camús, J. M., Garzás, J., Moguerza, J. M., & Sánchez, N. N. (2021). A
Scrum-based framework for new product development in the non-software industry. Journal of
Engineering and Technology Management, 61, 101634.
- Alonso Ayuso, A., Laguna, M., Molina Ferragut, E., & García Heredia, D. (2020). A solution
method for the shared Resource Constrained Multi-Shortest Path Problem (No. 30793). Universidad
Carlos III de Madrid. Departamento de Estadística.
- Gil-Borrás, S., Pardo, E. G., Alonso-Ayuso, A., & Duarte, A. (2021). A heuristic approach for
the online order batching problem with multiple pickers. Computers & Industrial Engineering,
107517.
- Escudero, L. F., Alonso-Ayuso, A., & Maculan, N. (2021). Essays on OR in ALIO country members
(part 2). Top, 29(1), 1-4.
- Sierra-Paradinas, M., Soto-Sánchez, Ó., Alonso-Ayuso, A., Martín-Campo, F. J., & Gallego, M.
(2021). An exact model for a slitting problem in the steel industry. European Journal of
Operational Research.
- Escudero, L. F., Alonso-Ayuso, A., & Nelson Maculan, F. (Eds.). (2021). Special Issue on Essays
in Operations Research from ALIO, the Latin Ibero-American Association of Operations Research
(part 2). Springer.
2020
- Fernández-Isabel, A., Fuentes-Fernández, R., & de Diego, I. M. (2020). Modeling multi-agent
systems to simulate
sensor-based Smart Roads. Simulation Modelling Practice and Theory, 99, 101994. https://www.doi.org/10.1016/j.simpat.2019.101994
- Moguerza, J. M., Oliver, S. P., Martín de Diego, I., Aceña, V., Cuesta, M., Lancho, C., &
Fernández, C. G. (2020, April). Suficiencia sanitaria y COVID-19. methaodos. revista de ciencias
sociales, 8(1), 140-168. https://doi.org/10.17502/m.rcs.v8i1.349
- Ortega, D., Fernández-Isabel, A., Martín de Diego, I., Conde, C., & Cabello, E. (2020). Dynamic
facial presentation attack detection for automated border control systems. Computers & Security,
92, 101744. https://www.doi.org/10.1016/j.cose.2020.101744
- González-Fernández, C., Cabezas, J., Fernández-Isabel, A., & Martín de Diego, I. (2020, June).
Combining Multi-Agent Systems and Subjective Logic to Develop Decision Support Systems. In
International Conference on Information Processing and Management of Uncertainty in
Knowledge-Based Systems (pp. 143-157). Springer, Cham.
- Cabezas, J., Fernandez-Isabel, A., Fernández, R. R., González-Fernández, C., Alonso, A., &
Martín de Diego, I. (2020, August). Bio-Inspired Agent-Based Architecture for Fraud Detection.
In Proceedings of the 2020 3rd International Conference on Information Management and Management
Science (pp. 67-71).
- Fernández, R. R., Martín de Diego, I., Aceña, V., Fernández-Isabel, A., & Moguerza, J. M. (2020,
November). Random forest explainability using counterfactual sets. Information Fusion, 63,
196-207. https://www.doi.org/10.1016/j.inffus.2020.07.001
- Fernández-Isabel, A., Barriuso, A. A., Cabezas, J., Martín de Diego, I., & Pinheiro, J. V.
(2020). Knowledge-based framework for estimating the relevance of scientific articles. Expert
Systems with Applications, 161, 113692. https://www.doi.org/10.1016/j.eswa.2020.113692
- Redondo, A. R., Navarro, J., Fernández, R. R., Martín de Diego, I., Moguerza, J. M., &
Fernández-Muñoz, J. J. (2020, November). Unified Performance Measure for Binary Classification
Problems. In International Conference on Intelligent Data Engineering and Automated Learning
(pp. 104-112). Springer, Cham.
- Alfaro-Navarro, J. L., Cano, E. L., Alfaro-Cortés, E., García, N., Gámez, M., & Larraz, B.
(2020). A fully automated adjustment of ensemble methods in machine learning for modeling
complex real estate systems. Complexity, 2020.
- Vara, J. A. D. L., Berruga, M. I., Serrano, M. P., Cano, E. L., García, A. J.,
Landete-Castillejos, T., ... & Molina, A. (2020). Red deer (Cervus elaphus) colostrum during its
transition to milk.
- Gil-Borrás, S., Pardo, E. G., Alonso-Ayuso, A., & Duarte, A. (2020). Fixed versus variable time
window warehousing strategies in real time. Progress in Artificial Intelligence, 9(4), 315-324.
- Sierra-Paradinas, M., Alonso-Ayuso, A., Martín-Campo, F. J., Rodríguez-Calo, F., & Lasso, E.
(2020). Facilities Delocation in the Retail Sector: A Mixed 0-1 Nonlinear Optimization Model and
Its Linear Reformulation. Mathematics, 8(11), 1986.
- Escudero, L. F., Alonso-Ayuso, A., & Maculan, N. (2020). Essays on OR in ALIO country members
(part 1). Top, 28(3), 545-548.
- Gil-Borrás, S., Pardo, E. G., Alonso-Ayuso, A., & Duarte, A. (2020). GRASP with Variable
Neighborhood Descent for the online order batching problem. Journal of Global Optimization,
78(2).
- García-Heredia, D., Molina, E., Laguna, M., & Alonso-Ayuso, A. (2021). A solution method for the
shared resource-constrained multi-shortest path problem. Expert Systems with Applications, 182,
115193.
- Alonso-Ayuso, A., Escudero, L. F., Guignard, M., & Weintraub, A. (2020). On dealing with
strategic and tactical decision levels in forestry planning under uncertainty. Computers &
Operations Research, 115, 104836.
2019
- Martín de Diego, I., Siordia, O. S., Fernández-Isabel, A., Conde, C., & Cabello, E. (2019).
Subjective data arrangement using clustering techniques for training expert systems. Expert
Systems with Applications, 115, 1-15. https://www.doi.org/10.1016/j.eswa.2018.07.058
- Algar, M. J., Martín de Diego, I., Fernández-Isabel, A., Monjas, M. Á., Ortega, F., Moguerza, J.
M., & Jacynycz, H. (2019). A quality of experience management framework for mobile users.
Wireless Communications and Mobile Computing, 2019. https://www.doi.org/10.1155/2019/2352941
- Navarro, J., Martín de Diego, I., Fernández-Isabel, A., & Ortega, F. (2019, January). Fusion of
GPS and accelerometer information for anomalous trajectories detection. In Proceedings of the
2019 the 5th International Conference on e-Society, e-Learning and e-Technologies (pp. 52-57).
- Pérez, P. C., Ortega, F., García, J. N., & Martín de Diego, I. (2019, January). Combining
Machine Learning and Symbolic Representation of Time Series for Classification of Behavioural
Patterns. In Proceedings of the 2019 the 5th International Conference on e-Society, e-Learning
and e-Technologies (pp. 93-97).
- Martín de Diego, I., San Román, I., Montero, J. C., Conde, C., & Cabello, E. (2019). Scalable
and flexible wireless distributed architecture for intelligent video surveillance systems.
Multimedia Tools and Applications, 78(13), 17437-17459.
- San Román, I., Martín de Diego, I., Conde, C., & Cabello, E. (2019). Outlier trajectory
detection through a context-aware distance. Pattern Analysis and Applications, 22(3), 831-839.
- Fernández-Isabel, A., Peixoto, P., Martín de Diego, I., Conde, C., & Cabello, E. (2019).
Combining dynamic finite state machines and text-based similarities to represent human behavior.
Engineering Applications of Artificial Intelligence, 85, 504-516. https://www.doi.org/10.1016/j.engappai.2019.07.006
- Aceña, V., Moguerza, J. M., Martín de Diego, I., & Fernández, R. R. (2019, October). Weighted
Nearest Centroid Neighbourhood. In Intelligent Data Engineering and Automated Learning―IDEAL
2019: 20th (pp. 94-101). Springer, Cham. https://doi.org/10.1007/978-3-030-33607-3_11
- Fernández, R. R., Martín de Diego, I., Aceña, V., Moguerza, J. M., & Fernández-Isabel, A. (2019,
October). Relevance metric for counterfactuals selection in decision trees. In Intelligent Data
Engineering and Automated Learning―IDEAL 2019: 20th (pp. 85-93). Springer, Cham. https://doi.org/10.1007/978-3-030-33607-3_10
- Muñoz-Tébar, N., De la Vara, J. A., de Elguea-Culebras, G. O., Cano, E. L., Molina, A., Carmona,
M., & Berruga, M. I. (2019). Enrichment of sheep cheese with chia (Salvia hispanica L.) oil as a
source of omega-3. LWT, 108, 407-415.
- Garcia-Heredia, D., Alonso-Ayuso, A., & Molina, E. (2019). A Combinatorial model to optimize air
traffic flow management problems. Computers & Operations Research, 112, 104768.
- Gil-Borrás, S., Pardo, E. G., Alonso-Ayuso, A., & Duarte, A. (2019, October). Basic VNS for a
variant of the online order batching problem. In International Conference on Variable
Neighborhood Search (pp. 17-36). Springer, Cham.
- Nadal-Roig, E., Plà-Aragonès, L. M., & Alonso-Ayuso, A. (2019). Production planning of supply
chains in the pig industry. Computers and Electronics in Agriculture, 161, 72-78.
2018
- Fernández-Isabel, A., Prieto, J. C., Ortega, F., Martín de Diego, I., Moguerza, J. M., Mena, J.,
... & Napalkova, L. (2018). A unified knowledge compiler to provide support the scientific
community. Knowledge-Based Systems, 161, 157-171. https://www.doi.org/10.1016/j.knosys.2018.07.044
- Martín de Diego, I., Fernández-Isabel, A., Ortega, F., & Moguerza, J. M. (2018). A visual
framework for dynamic emotional web analysis. Knowledge-Based Systems, 145, 264-273. https://www.doi.org/10.1016/j.knosys.2018.01.023
- Prieto, J. C., Fernández-Isabel, A., Martín de Diego, I., & Ortega, F. (2018, January). A
supervised learning approach to detect copyright infrigments. In Information Management and
Processing (ICIMP), 2018 International Conference on (pp. 100-106). IEEE.
- Martos, G., Hernández, N., Muñoz, A., & Moguerza, J. M. (2018). Entropy Measures for Stochastic
Processes with Applications in Functional Anomaly Detection. Entropy, 20(1), 33.
- Alonso-Ayuso, A., Escudero, L. F., Guignard, M., & Weintraub, A. (2018). Risk management for
forestry planning under uncertainty in demand and prices. European Journal of Operational
Research, 267(3), 1051-1074.
- San Román, I., Martín de Diego, I., Conde, C., & Cabello, E. Outlier trajectory detection
through a context-aware distance. Pattern Analysis and Applications, 1-9.
2017
- Cano, J., Moguerza, J. M., & Prieto, F. J. (2017). Using Improved Directions of Negative
Curvature for the Solution of Bound-Constrained Nonconvex Problems. Journal of Optimization
Theory and Applications, 174(2), 474-499.
- Menéndez, B., Pardo, E. G., Alonso-Ayuso, A., Molina, E., & Duarte, A. (2017). Variable
neighborhood search strategies for the order batching problem. Computers & Operations Research,
78, 500-512.
- Convertino, G., Zancanaro, M., Piccardi, T., & Ortega, F. (2017). Toward a mixed-initiative QA
system: from studying predictors in Stack Exchange to building a mixed-initiative tool.
International Journal of Human-Computer Studies, 99, 1-20.
2016
- Alonso-Ayuso, A., Escudero, L. F., & Martín-Campo, F. J. (2016). Multiobjective optimization for
aircraft conflict resolution. A metaheuristic approach. European Journal of Operational
Research, 248(2), 691-702.
- Gomez, J., Insua, D. R., & Alfaro, C. (2016). A participatory budget model under uncertainty.
European Journal of Operational Research, 249(1), 351-358.
- Alfaro, C., Cano-Montero, J., Gómez, J., Moguerza, J. M., & Ortega, F. (2016). A multi-stage
method for content classification and opinion mining on weblog comments. Annals of Operations
Research, 236(1), 197-213.
- del Rio, J. S., Moctezuma, D., Conde, C., Martín de Diego, I., & Cabello, E. (2016). Automated
border control e-gates and facial recognition systems. computers & security, 62, 49-72.
- Baidyk, T., Kussul, E., Monterrosas, Z. C., Gallardo, A. I., Serrato, K. R., Conde, C., ... &
Cabello, E. (2016). Face recognition using a permutation coding neural classifier. Neural
Computing and Applications, 27(4), 973-987.
- Salazar, A. M., Martín de Diego, I., Conde, C., & Pardos, E. C. (2016). Evaluation of Keypoint
Descriptors Applied in the Pedestrian Detection in Low Quality Images. IEEE Latin America
Transactions, 14(3), 1401-1407.
2015
- Alonso-Ayuso, A., Escudero, L. F., Martín-Campo, F. J., & Mladenović, N. (2015). A VNS
metaheuristic for solving the aircraft conflict detection and resolution problem by performing
turn changes. Journal of Global Optimization, 63(3), 583-596.
- Moctezuma, D., Conde, C., Martín de Diego, I., & Cabello, E. (2015). Soft-biometrics evaluation
for people re-identification in uncontrolled multi-camera environments. EURASIP Journal on Image
and Video Processing, 2015(1), 28.