2024
- Manuele Leonelli, Gherardo Varando. "Learning and interpreting asymmetry-labeled DAGs: a case study on COVID-19 fear" in Applied Intelligence.
- M.T. Filigheddu, M. Leonelli, G. Varando, M.A. Gómez-Bermejo, S. Ventura-Díaz, L. Gorospe, J. Fortún. "Using staged tree models for health data: Investigating invasive fungal infections by aspergillus and other filamentous fungi" in Computational and Structural Biotechnology Journal.
2023
- A. Anahory Simoes, S. Ferraro, J.C. Marrero, D. Martín de Diego. "A new nonholonomic Newmark method". Journal of Computational and Applied Mathematics, 421, 114873.
- M. Leonelli, R. Ramanathan, R.L. Wilkerson. "Sensitivity and robustness analysis in Bayesian networks with the bnmonitor R package". Arxiv.
- G. Bianchin, M. Vaquero, J. Cortés, E. Dall'Anese. “Online Stochastic Optimization for Unknown Linear Systems: Data-Driven Controller Synthesis and Analysis” in IEEE Transactions on Automatic Control.
- M. Vaquero et al. “Resource-Aware Discretization of Accelerated Optimization Flows: The Heavy-Ball Dynamics Case” in IEEE Transactions on Automatic Control.
- F. Carli, M. Leonelli, G. Varando. “A new class of generative classifiers based on staged tree models” in Knowledge-Based Systems.
- R. Ballester-Ripoll et al. “High-dimensional scalar function visualization using principal parameterizations” in the Visual Computer journal.
- R. Balleter-Ripoll, M. Leonelli. “The YODO algorithm: An efficient computational framework for sensitivity analysis in Bayesian networks” in the International Journal of Approximate Reasong.
2022
- F. S. Butt, M. F. Wagner, J. Schäfer and D. G. Ullate, "Toward Automated Feature Extraction for Deep Learning Classification of Electrocardiogram Signals", in IEEE Access.
- M.A. García-Ferrero, D. Gómez-Ullate, R. Milson, Exceptional Gegenbauer polynomials via isospectral deformation. Studies in Applied Mathematics 149: 324-363.
- M. Leonelli, E. Riccomagno. "A geometric characterization of sensitivity analysis in monomial models". International Journal of Approximate Reasoning, 151, 64-84.
- R. Ballester-Ripoll, M. Leonelli. "Computing Sobol indices in probabilistic graphical models". Reliability Engineering & System Safety, 108573.
- M. Usvyatsov, R. Ballester-Ripoll, K. Schindler: "tntorch: Tensor Network Learning with PyTorch", Journal of Machine Learning Research.
- G Bianchin, M Vaquero, J Cortés, E Dall’Anese : “Online stochastic optimization for unknown linear systems: Data-driven synthesis and controller analysis.” IEEE Transactions on Automatic Control.
- Lee DJ, Durbán M, Ayma D, Van de Kassteele J. "Modeling latent spatio-temporal disease incidence using penalized composite link models". PLOS ONE 17(3): e0263711
- MX. Rodríguez-Álvarez, M. Durbán, PHC. Eilers, D.J. Lee, F. Gonzalez. "Multidimensional adaptive P-splines with application to neurons' activity studies". Biometrics.
- A. Anahory Simoes, J.C. Marrero, D. Martín de Diego. "Exact discrete Lagrangian mechanics for nonholonomic mechanics". Numerische Mathematik, 151, 49–98.
2021
- M Vaquero, P Mestres, J Cortes: “Resource-Aware Discretization of Accelerated Optimization Flows: the Heavy-Ball Dynamics Case”, IEEE Transactions on Automatic Control.