A percentile system optimization approach with and without path enumeration. - Enrique F. Castillo; Aida Calvino; Santos Sánchez-Cambronero; María Nogal; Ana Rivas (Comput. Oper. Res., 2013)

A Model for Continuous Dynamic Network Loading Problem with Different Overtaking Class Users. - Enrique F. Castillo; María Nogal; Aida Calviño; Ana Rivas; Hong K. Lo (J. Intell. Transp. Syst., 2013)

Deriving the Upper Bound of the Number of Sensors Required to Know All Link Flows in a Traffic Network. - Enrique F. Castillo; Aida Calvino; José María Menéndez; Pilar Jiménez; Ana Rivas (IEEE Trans. Intell. Transp. Syst., 2013)

A Multiclass User Equilibrium Model Considering Overtaking Across Classes. - Enrique F. Castillo; Aida Calvino; Santos Sánchez-Cambronero; Hong K. Lo (IEEE Trans. Intell. Transp. Syst., 2013)

On the Probabilistic and Physical Consistency of Traffic Random Variables and Models. - Enrique F. Castillo; Aida Calviño; María Nogal; Hong K. Lo (Comput. Aided Civ. Infrastructure Eng., 2014)

A hierarchical optimization problem: Estimating traffic flow using Gamma random variables in a Bayesian context. - Enrique F. Castillo; José María Menéndez; Santos Sánchez-Cambronero; Aida Calvino; José María Sarabia (Comput. Oper. Res., 2014)

Privacy-preserving distributed statistical computation to a semi-honest multi-cloud. - Aida Calvino; Sara Ricci; Josep Domingo-Ferrer (CNS, 2015)

A State-of-the-Art Review of the Sensor Location, Flow Observability, Estimation, and Prediction Problems in Traffic Networks. - Enrique F. Castillo; Zacarías Grande; Aida Calviño; Wai Yuen Szeto; Hong K. Lo (J. Sensors, 2015)

A Markovian-Bayesian Network for Risk Analysis of High Speed and Conventional Railway Lines Integrating Human Errors. - Enrique F. Castillo; Aida Calviño; Zacarías Grande; Santos Sánchez-Cambronero; Inmaculada Gallego; Ana Rivas; José María Menéndez (Comput. Aided Civ. Infrastructure Eng., 2016)

Bayesian Networks-Based Probabilistic Safety Analysis for Railway Lines. - Enrique F. Castillo; Zacarías Grande; Aida Calviño (Comput. Aided Civ. Infrastructure Eng., 2016)

Factor Analysis for Anonymization. - Aida Calvino; Palmira Aldeguer; Josep Domingo-Ferrer (ICDM Workshops, 2017)

On Random-Forest-Based Prediction Intervals. - Aida Calviño (IDEAL (1), 2020)

Robustness of Minimum Density Power Divergence Estimators and Wald-type test statistics in loglinear models with multinomial sampling. - Aida Calviño; Nirian Martín; Leandro Pardo (J. Comput. Appl. Math., 2021)

Machine learning applied to omics data. - Aida Calviño; Almudena Moreno-Ribera; Silvia Pineda (CoRR, 2024)