Academic Publications

2024

Dyballa, Luciano, et al. “Encoding manifolds constructed from grating responses organize responses to natural scenes in cortical visual areas.” bioRxiv (2024): 2024-10.

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.

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.

Sanchez-Garcia, Ruben, et al. “Cryo-EM map anisotropy can be attenuated by map post-processing and a new method for its estimation.” International Journal of Molecular Sciences 25.7 (2024): 3959.

Leonelli, M., & Varando, G. (2024). Learning and interpreting asymmetry-labeled DAGs: a case study on COVID-19 fear. Applied Intelligence, 54(2), 1734-1750.

Leonelli, M., & Varando, G. (2024). Structural learning of simple staged trees. Data Mining and Knowledge Discovery, 38, 1520–1544.

Dyballa, Luciano, et al. “Population encoding of stimulus features along the visual hierarchy.” Proceedings of the National Academy of Sciences 121.4 (2024): e2317773121.

2023

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.

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.

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.

Carli, F., Leonelli, M., & Varando, G. (2023). A new class of generative classifiers based on staged tree models. Knowledge-Based Systems, 268, 110488.

Dyballa, Luciano, and Steven W. Zucker. “IAN: Iterated Adaptive Neighborhoods for manifold learning and dimensionality estimation.” Neural Computation 35.3 (2023): 453-524.

2022

Leonelli, M., & Riccomagno, E. (2022). A geometric characterization of sensitivity analysis in monomial models. International Journal of Approximate Reasoning, 151, 64-84.

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.

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.

Ballester-Ripoll, R., & Leonelli, M. (2022). Computing Sobol indices in probabilistic graphical models. Reliability Engineering & System Safety, 225, 108573.

2024

Cabrera, A., de Diego, D. M., & Vaquero, M. (2024). Approximating Symplectic Realizations: A General Framework for the Construction of Poisson Integrators. arXiv preprint arXiv:2409.04342.

Garcia-Ferrero, M. A., Gomez-Ullate, D., & Milson, R. (2024). Classification of exceptional Jacobi polynomials. arXiv preprint arXiv:2409.02656.

Bianchin, G., Vaquero, M., Cortés, J., & Dall’Anese, E. (2024). k-dimensional Agreement in Multi-agent Systems. IEEE Transactions on Automatic Control.

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.

2023

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.

2022

2024

Turilli, Matteo, et al. “ExaWorks software development kit: a robust and scalable collection of interoperable workflows technologies.” Frontiers in High Performance Computing 2 (2024): 1394615.

Ballester-Ripoll, R. (2024). Computing statistical moments via tensorization of polynomial chaos expansions. SIAM/ASA Journal on Uncertainty Quantification, 12(2), 289-308.

Ballester-Ripoll, R., Halter, G., & Pajarola, R. (2024). High-dimensional scalar function visualization using principal parameterizations. The Visual Computer, 40(4), 2571-2588.

2023

Castelló Ferrer, E., Berman, I., Kapitonov, A., Manaenko, V., Chernyaev, M., & Tarasov, P. (2023). “Gaka-chu: a self-employed autonomous robot artist”. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 11583-11589.

2022

Castelló Ferrer, E., Jiménez, E., Lopez-Presa, J. L., & Martín-Rueda, J. (2022). “Following Leaders in Byzantine Multi-Robot Systems by Using Blockchain Technology”. IEEE Transactions on Robotics.

Castelló Ferrer, E., Hardjono, T., Pentland, A. S., & Dorigo, M. (2021). “Secure and secret cooperation in robotic swarms”. Science Robotics, 4(29), eaaw3739.

2024

Galán-Arcicollar, Cristina, et al. “A joint modelling approach for longitudinal patient-reported outcomes and survival analysis.” 38th International Workshop on Statistical Modelling. 2024.

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.

Leonelli, M., & Varando, G. (2024). Robust learning of staged tree models: A case study in evaluating transport services. Socio-Economic Planning Sciences, 95, 102030.

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.

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.

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.

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.

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).

2023

2022

Görgen, C., Leonelli, M., & Marigliano, O. (2022). The curved exponential family of a staged tree. Electronic Journal of Statistics, 16(1), 2607-2620.

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.

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.

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.

Leonelli, M., & Gamerman, D. (2020). Semiparametric bivariate modelling with flexible extremal dependence. Statistics and Computing, 30(2), 221-236.

Görgen, C., & Leonelli, M. (2020). Model-preserving sensitivity analysis for families of Gaussian distributions. Journal of Machine Learning Research, 21(84), 1-32.