Maciejowski, L., Leonelli, M. (2026). Uncovering drivers of EU carbon futures with Bayesian networks. Applied Energy, 403, 127034. Read More »
García, Guerrero, Hernández-Delfin, Lee, Ellero (2026). Modeling crowd flow during stadium ingress Read More »
Marcos-Pérez, M., Jiménez de la Jara, J., Precioso, D., Muñoz, A., Redondo-Neble, M. V., & Gómez-Ullate, D. (2025). New analysis in the preliminary design for LNG and LPG ships. Marine Structures. Read More »
Cremaschi, Andrea, Dae-Jin Lee, and Manuele Leonelli. “Will AI Take My Job? Evolving Perceptions of Automation and Labor Risk in Latin America.” arXiv preprint arXiv:2505.08841 (2025). Read More »
Serrat-Lacasta, L., de la Cruz-Vigo, S., Leonelli, M. (2025). Evaluation of factors associated with fear and anxiety in the orthodontic treatment of adult patients. Journal of Clinical and Experimental Dentistry. Read More »
de la Jara, J. J., Precioso, D., Bu, L., Redondo-Neble, M. V., Milson, R., Ballester-Ripoll, R., & Gómez-Ullate, D. (2025). HADAD: Hexagonal A-Star with Differential Algorithm Designed for weather routing. Ocean Engineering, 319, 120050. Read More »
Leonelli, M. (2025). bnRep: A repository of Bayesian networks from the academic literature. Neurocomputing, 624, 129502. Read More »
Cremaschi, A., Lee, D., Leonelli, M. (2025). Understanding support for AI regulation: A Bayesian network perspective. Int. J. Eng. Business Management 17. Read More »
Leonelli, M. (2025). Predicting and understanding shooting performance in professional biathlon. Read More »
Leonelli, M. (2025). bnRep: A repository of Bayesian networks from the academic literature. Neurocomputing, 624, 129502. Read More »
Aceña, Lancho, De Diego, Moguerza, Lee (2025). Dynamic disagreeing neighbors: complexity estimation. Neurocomputing Read More »
Bischof, Cremaschi et al. (2025). Patient-derived acellular ascites fluid affects drug responses in ovarian cancer cell lines Read More »
Kamal, Han, Naoum-Sawaya et al. (2025). Predicting Ischemic Stroke Patients to Transfer for Endovascular Thrombectomy Using Machine Learning Read More »
Jack S Carter, Manuele Leonelli, Eva Riccomagno and Gherardo Varando (2024). Learning staged trees from incomplete data. In Proceedings of the 12th International Conference on Probabilistic Graphical Models (PGM), pp. 231-252. PMLR. 11-13 September 2024, De Lindenberg, Nijmegen, the Netherlands. Read More »
Manuele Leonelli and Gherardo Varando (2024). Context-specific refinements of Bayesian network classifiers. In Proceedings of the 12th International Conference on Probabilistic Graphical Models (PGM), pp. 182-198. PMLR. 11-13 September 2024, De Lindenberg, Nijmegen, the Netherlands. Read More »
Precioso, D., Milson, R., Bu, L., Menchions, Y., & Gómez-Ullate, D. (2024). Hybrid search method for Zermelo’s navigation problem. Computational and Applied Mathematics, 43(4), 250. Read More »
Leonelli, M., & Varando, G. (2024). Learning and interpreting asymmetry-labeled DAGs: a case study on COVID-19 fear. Applied Intelligence, 54(2), 1734-1750. Read More »
Leonelli, M., & Varando, G. (2024). Structural learning of simple staged trees. Data Mining and Knowledge Discovery, 38, 1520–1544. Read More »
Harris, Cremaschi et al. (2024). From past to future: digital methods towards artefact analysis Read More »
Precioso, D., & Gómez-Ullate, D. (2023). Thresholding methods in non-intrusive load monitoring. The Journal of Supercomputing, 79(13), 14039-14062. Read More »
Leonelli, M., Ramanathan, R., & Wilkerson, R. L. (2023). Sensitivity and robustness analysis in Bayesian networks with the bnmonitor R package. Knowledge-Based Systems, 278, 110882. Read More »
Navarro-García, M., Precioso, D., Neill, K. G. O., Torres-Barrán, A., Gómez, D. G., Gallego, V., & Gómez-Ullate, D. (2023). Aggregation dynamics of tropical tunas around drifting floating objects based on large-scale echo-sounder data. Marine Ecology Progress Series, 715, 129-143. Read More »
Wills, Stephanie, et al. “Fragment merging using a graph database samples different catalogue space than similarity search.” Journal of Chemical Information and Modeling 63.11 (2023): 3423-3437. Read More »
Manuele Leonelli and Gherardo Varando (2023). Context-specific causal discovery for categorical data using staged trees. In Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS), pp. 8871-8888. PMLR. 25-27 April 2023, Palau de Congressos, Valencia, Spain. Read More »
Ballester-Ripoll, R., & Leonelli, M. (2023). The YODO algorithm: An efficient computational framework for sensitivity analysis in Bayesian networks. International Journal of Approximate Reasoning, 159, 108929. Read More »
Barbeito, I., Precioso, D., Sierra, M. J., Vegas-Azcárate, S., Fernández Balbuena, S., Vitoriano, B., … & Study Group for Non-Pharmaceutical Interventions in Spain. (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, 11, 1061331. Read More »
Carli, F., Leonelli, M., & Varando, G. (2023). A new class of generative classifiers based on staged tree models. Knowledge-Based Systems, 268, 110488. Read More »
Ruiz-Zafra, A., Precioso, D., Salvador, B., Lubián-López, S. P., Jiménez, J., Benavente-Fernández, I., … & 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, 27(6), 2614-2624. Read More »
Leonelli, M., & Riccomagno, E. (2022). A geometric characterization of sensitivity analysis in monomial models. International Journal of Approximate Reasoning, 151, 64-84. Read More »
Butt, F. S., Wagner, M. F., Schäfer, J., & Ullate, D. G. (2022). Toward automated feature extraction for deep learning classification of electrocardiogram signals. IEEE Access, 10, 118601-118616. Read More »
Manuele Leonelli and Gherardo Varando (2022). Highly efficient structural learning of sparse staged trees. In Proceedings of the 11th International Conference on Probabilistic Graphical Models (PGM), pp. 193-204. PMLR. 5-7 September 2022, Almería, Spain. Read More »
Rafael Ballester-Ripoll and Manuele Leonelli (2022). You only derive once (YODO): Automatic differentiation for efficient sensitivity analysis in Bayesian networks. In Proceedings of the 11th International Conference on Probabilistic Graphical Models (PGM), pp. 169-180. PMLR. 5-7 September 2022, Almería, Spain. Read More »
Ballester-Ripoll, R., & Leonelli, M. (2022). Computing Sobol indices in probabilistic graphical models. Reliability Engineering & System Safety, 225, 108573. Read More »
Simoes, A. A., Marrero, J. C., & Martín de Diego, D. (2025). Mechanical Hamiltonization of unreduced 𝜙-simple Chaplygin systems. Studies in Applied Mathematics, 154, e70065. Read More »
de la Jara, J. J., Precioso, D., Bu, L., Redondo-Neble, M. V., Milson, R., Ballester-Ripoll, R., & Gómez-Ullate, D. (2025). HADAD: Hexagonal A-Star with Differential Algorithm Designed for weather routing. Ocean Engineering, 319, 120050. Read More »
Peralta-Salas, D., & Vaquero, M. (2024). Beltrami Fields with Morse Proportionality Factor. Journal of Mathematical Analysis and Applications, 128632. Read More »
Stratoglou, E., Simoes, A. A., Bloch, A., & Colombo, L. J. (2024). On the geometry of virtual nonlinear nonholonomic constraints. IEEE Transactions on Automatic Control. Read More »
Vaquero, M., Cortés, J., & de Diego, D. M. (2024). Symmetry preservation in Hamiltonian systems: Simulation and Learning. Journal of Nonlinear Science, 34(6), 115. Read More »
Garcia-Ferrero, X., Gómez-Ullate, D., Milson, R. (2024). Classification of exceptional Jacobi polynomials. arXiv:2409.02656. Read More »
Bianchin, G., Vaquero, M., Cortés, J., & Dall’Anese, E. (2024). k-dimensional Agreement in Multi-agent Systems. IEEE Transactions on Automatic Control. Read More »
Precioso, D., Milson, R., Bu, L., Menchions, Y., & Gómez-Ullate, D. (2024). Hybrid search method for Zermelo’s navigation problem. Computational and Applied Mathematics, 43(4), 250. Read More »
Anahory et al. (2024). Reduction by symmetries of contact mechanical systems on Lie groups Read More »
Anahory Simoes, A., Colombo, L., de León, M., Salgado, M., & Souto, S. (2024). Euler–Lagrange–Herglotz equations on Lie algebroids. Analysis and Mathematical Physics, 14(1), 3. Read More »
Bianchin, G., Vaquero, M., Cortes, J., & Dall’Anese, E. (2023). Online stochastic optimization for unknown linear systems: Data-driven controller synthesis and analysis. IEEE Transactions on Automatic Control. Read More »
Stratoglou, Efstratios, et al. “Virtual Affine Nonholonomic Constraints.” International Conference on Geometric Science of Information. Cham: Springer Nature Switzerland, 2023. Read More »
Vaquero, M., Mestres, P., & Cortes, J. (2022). Resource-aware discretization of accelerated optimization flows: the heavy-ball dynamics case. IEEE Transactions on Automatic Control, 68(4), 2109-2124. Read More »
Simoes, A. A., Marrero, J. C., & de Diego, D. M. (2022). Exact discrete Lagrangian mechanics for nonholonomic mechanics. Numerische Mathematik, 151(1), 49-98. Read More »
Bianchin, G., Vaquero, M., Cortés, J., & Dall’Anese, E. (2021, December). Data-driven synthesis of optimization-based controllers for regulation of unknown linear systems. In 2021 60th IEEE Conference on Decision and Control (CDC) (pp. 5783-5788). IEEE. Read More »
Simoes, Alexandre Anahory, et al. “The geometry of some thermodynamic systems.” Workshop on Joint Structures and Common Foundations of Statistical Physics, Information Geometry and Inference for Learning. Cham: Springer International Publishing, 2020. Read More »
Anahory Simoes, Alexandre, et al. “On the geometry of discrete contact mechanics.” Journal of Nonlinear Science 31.3 (2021): 53. Read More »
Simoes, Alexandre Anahory, et al. “Contact geometry for simple thermodynamical systems with friction.” Proceedings of the Royal Society A 476.2241 (2020): 20200244. Read More »
Tang, Y., Ghaddar, B., Jeong, J., & Wei, Y. (2026). Optimizing charging schedules and assessing passenger commuting equilibrium for electric shuttles with shared charging stations. Transportation Research Part C: Emerging Technologies, 186, 105593. Read More »
González-Rodríguez, B., Gómez-Casares, I., Ghaddar, B., González-Díaz, J., & Pateiro-López, B. (2025). Learning in Reformulation-Linearization Technique-Based Spatial Branching: Limitations of Strong Branching Imitation. INFORMS Journal on Computing. Read More »
Taherkhani, G., Ghaddar, B., Alumur, S. A., & Hsu, Y. (2025). Hub Network Design for Strategic Autonomous Shuttle Deployment. IEEE Transactions on Intelligent Transportation Systems. Read More »
de la Jara, …, Precioso, D., … (2025). WeatherRouting Bench 1.0: Towards Comparative Research in Weather Routing. Read More »
Amirnequiee, Naoum-Sawaya, Pun (2025). Robust framework for the joint learning of consumer preferences and market segmentation Read More »
Jeong, Premsankar, Ghaddar (2024). A robust optimization approach for placement of applications in edge computing Read More »
Domingo‐Relloso, A., Zhang, Y., Wang, Z., Suchy‐Dicey, A. M., Buchwald, D. S., Navas‐Acien, A., … & Valeri, L. (2026). A Path‐Specific Effect Approach to Mediation Analysis With Time‐Varying Mediators and Time‐to‐Event Outcomes Accounting for Competing Risks. Statistics in Medicine, 45(3-5), e70425. Read More »
van den Boom, W., Cremaschi, A., & Thiery, A. H. (2026). Doubly adaptive importance sampling. Journal of Computational and Graphical Statistics, 35(1), 330-338. Read More »
Shoaib, Riccomagno, Leonelli, Varando (2026). Estimating Staged Event Tree Models via Hierarchical Clustering on the Simplex. arXiv:2603.15568 Read More »
Gago-Carro, Imanol, et al. “Hierarchical compromise optimization of ambulance locations under stochastic travel times.” Computers & Operations Research (2025): 107208. Read More »
Espinosa-Moreno, Juan Carlos, Dae-Jin Lee, et al. “Modelling in-hospital length of stay: A comparison of linear and ensemble models for competing risk analysis.” PloS one 20.8 (2025): e0322101. Read More »
García, A., Hernández-Delfin, D., Lee, D. J., & Ellero, M. (2025). On the modeling of dynamic queue formation and decision-making in pedestrian dynamics simulations. Simulation Modelling Practice and Theory, 103130. Read More »
Tint, Mya Thway, et al. “Differential contributions of lean and fat mass on bone mineral density in Asian women of reproductive age: The S-PRESTO study.” JBMR Plus (2025): ziaf054. Read More »
Leonelli, M. (2025). bnRep: A repository of Bayesian networks from the academic literature. Neurocomputing, 624, 129502. Read More »
Leonelli, M., Smith, J. (2025). The diameter of a stochastic matrix: A new measure for sensitivity analysis in Bayesian networks. Int. J. Approx. Reasoning, 185, 109470. Read More »
Leonelli, M., Ballester-Ripoll (2025). Global sensitivity analysis of uncertain parameters in Bayesian networks. Int. J. Approx. Reasoning. Read More »
Leonelli, M. (2025). bnRep: A repository of Bayesian networks from the academic literature. Neurocomputing, 624, 129502. Read More »
Cremaschi, Andrea, et al. “Postpartum Screening for Type 2 Diabetes in Women With a History of Gestational Diabetes Mellitus: A Cost-Effectiveness Analysis in Singapore.” Value in Health Regional Issues 45 (2025): 101048. Read More »
Cremaschi A, Wertz T, De Iorio M. “Repulsion, Chaos and Equilibrium in Mixture Models”. Journal of the Royal Statistical Society B (Statistical Methodology), 2024 Oct 10. Read More »
Galán-Arcicollar, Cristina, et al. “A joint modelling approach for longitudinal patient-reported outcomes and survival analysis.” 38th International Workshop on Statistical Modelling. 2024. Read More »
Galán-Arcicollar, C., Najera-Zuloaga, J., & Lee, D. J. (2024). Patient-reported outcomes and survival analysis of chronic obstructive pulmonary disease patients: a two-stage joint modelling approach. SORT-Statistics and Operations Research Transactions, 155-182. Read More »
Leonelli, M., & Varando, G. (2024). Robust learning of staged tree models: A case study in evaluating transport services. Socio-Economic Planning Sciences, 95, 102030. Read More »
García-García, Fernando, et al. “Obtaining patient phenotypes in SARS-CoV-2 pneumonia, and their association with clinical severity and mortality.” Pneumonia 16.1 (2024): 12. Read More »
Filigheddu, M. T., Leonelli, M., Varando, G., Gómez-Bermejo, M. Á., Ventura-Díaz, S., Gorospe, L., & Fortún, J. (2024). Using staged tree models for health data: Investigating invasive fungal infections by aspergillus and other filamentous fungi. Computational and Structural Biotechnology Journal, 24, 12-22. Read More »
García-García, Fernando, et al. “Reliable prediction of difficult airway for tracheal intubation from patient preoperative photographs by machine learning methods.” Computer Methods and Programs in Biomedicine 248 (2024): 108118. Read More »
García, Ander, et al. “Analysis of local density during football stadium access: Integrating pedestrian flow simulations and empirical data.” Physica A: Statistical Mechanics and its Applications 638 (2024): 129635. Read More »
García-García, Fernando, et al. “Cost-sensitive ordinal classification methods to predict SARS-CoV-2 pneumonia severity.” IEEE Journal of Biomedical and Health Informatics (2024). Read More »
Cremaschi A, De Iorio M, Kothandaraman N, Yap F, Tint MT and Eriksson J (2024) “Joint modelling of association networks and longitudinal biomarkers: an application to child obesity”. Statistics in Medicine Read More »
Najera-Zuloaga, Lee et al. (2024). Multidimensional beta-binomial regression model: A joint analysis of PROs. Statistical Modelling 24(5) Read More »
Reyes, Najera-Zuloaga, Lee et al. (2024). A Bimodal Extension of the Beta-Binomial Distribution. Axioms 13(10), 662 Read More »
Kee MZL, Cremaschi A, De Iorio M, Chen H, Montreuil T, Nguyen TV, Côté SM, O’Donnell KJ, Giesbrecht GF, Letourneau N, Chan SY and Meaney MJ (2023) “Perinatal Trajectories of Maternal Depressive Symptoms in Prospective, Community-Based Cohorts across Three Continents”. JAMA Network Open, 6(10), e2339942-e2339942. Read More »
Görgen, C., Leonelli, M., & Marigliano, O. (2022). The curved exponential family of a staged tree. Electronic Journal of Statistics, 16(1), 2607-2620. Read More »
Carli, F., Leonelli, M., Riccomagno, E., & Varando, G. (2022). The R Package stagedtrees for Structural Learning of Stratified Staged Trees. Journal of Statistical Software, 102, 1-30. Read More »
Lattanzi, C., & Leonelli, M. (2021). A change-point approach for the identification of financial extreme regimes. Brazilian Journal of Probability and Statistics, 35(4), 811-837. Read More »
Leonelli, M., Riccomagno, E., & Smith, J. Q. (2020). Coherent combination of probabilistic outputs for group decision making: An algebraic approach. OR Spectrum, 42(2), 499-528. Read More »
Leonelli, M., & Gamerman, D. (2020). Semiparametric bivariate modelling with flexible extremal dependence. Statistics and Computing, 30(2), 221-236. Read More »
Görgen, C., & Leonelli, M. (2020). Model-preserving sensitivity analysis for families of Gaussian distributions. Journal of Machine Learning Research, 21(84), 1-32. Read More »
Fuentes-Páez, G., Molina, N., Ramos-Rodríguez, M., & Pasquali, L. (2026). SPICEY: an R package for quantifying tissue specificity from single cell multi-omics data. BMC bioinformatics. Read More »
Domingo-Relloso, A., McGraw, K. E., Martinez-Morata, I., Zhang, Y., Schilling, K., Glabonjat, R. A., … & Valeri, L. (2026). The role of coronary artery calcification in metal-related cardiovascular disease. Environment International, 110095. Read More »
Domingo-Relloso, A., Feng, Y., Rodriguez-Hernandez, Z., Haack, K., Cole, S. A., Navas-Acien, A., … & Bermudez, J. D. (2024). Omics feature selection with the extended SIS R package: identification of a body mass index epigenetic multimarker in the Strong Heart Study. American Journal of Epidemiology, 193(7), 1010-1018. Read More »
Cremaschi et al. (2025). Bayesian modelling of response to therapy and drug-sensitivity in acute lymphoblastic leukemia. Statistics in Biosciences 17(2) Read More »
Mayer, Domingo-Relloso et al. (2025). Comparison of Methods for Analyzing Environmental Mixtures Effects on Survival Outcomes Read More »
Eckhardt, Li, Bloomquist, Domingo-Relloso (2025). Extracellular vesicle-encapsulated microRNA signatures of cigarette smoking Read More »
McGraw, Domingo-Relloso et al. (2024). Urinary metal levels and coronary artery calcification Read More »
Platania, Erb, Molina et al. (2024). Transcription processes compete with loop extrusion to homogenize promoter and enhancer dynamics Read More »