Publications (30) Publications de AÍDA CALVIÑO MARTÍNEZ

2023

  1. Machine Learning Applied to Omics Data

    Statistical Methods at the Forefront of Biomedical Advances (Springer International Publishing), pp. 21-43

  2. Minimum Rényi Pseudodistance Estimators for Logistic Regression Models

    Studies in Systems, Decision and Control (Springer Science and Business Media Deutschland GmbH), pp. 131-145

2022

  1. A Posteriori Random Forests for Stochastic Downscaling of Precipitation by Predicting Probability Distributions

    Water Resources Research, Vol. 58, Núm. 4

  2. Gamificación en el aula con Kahoot! en la Facultad de Estudios Estadísticos

    Jornada «Aprendizaje Eficaz con TIC en la UCM» (Universidad Complutense de Madrid), pp. 645-655

2020

  1. On Random-Forest-Based Prediction Intervals

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2018

  1. Probabilistic Safety Analysis of Railway Lines

    International Journal of Railway Technology, Vol. 7, Núm. 3, pp. 45-69

2017

  1. A simple method for limiting disclosure in continuous microdata based on principal component analysis

    Journal of Official Statistics, Vol. 33, Núm. 1, pp. 15-41

  2. Factor analysis for anonymization

    IEEE International Conference on Data Mining Workshops, ICDMW

2016

  1. A Markovian-Bayesian Network for Risk Analysis of High Speed and Conventional Railway Lines Integrating Human Errors

    Computer-Aided Civil and Infrastructure Engineering, Vol. 31, Núm. 3, pp. 193-218

  2. Bayesian Networks-Based Probabilistic Safety Analysis for Railway Lines

    Computer-Aided Civil and Infrastructure Engineering, Vol. 31, Núm. 9, pp. 681-700

  3. Coherent and Compatible Statistical Models in Structural Analysis

    International Journal of Computational Methods

  4. Probabilistic safety analysis of high speed railway lines including human errors

    Civil-Comp Proceedings

2015

  1. A State-of-The-Art Review of the Sensor Location, Flow Observability, Estimation, and Prediction Problems in Traffic Networks

    Journal of Sensors, Vol. 2015

  2. A simple methodfor limiting disclosure in microdata based on Principal Component Analysis

    XXXV Congreso Nacional SEIO: IX Jornadas de Estadística Pública : Universidad Pública de Navarra, Pamplona, del 26 al 29 de mayo de 2015

  3. Privacy-Preserving Distributed Statistical Computation to a Semi-Honest Multi-Cloud

    2015 IEEE CONFERENCE ON COMMUNICATIONS AND NETWORK SECURITY (CNS)

  4. Privacy-preserving distributed statistical computation to a semi-honest multi-cloud

    2015 IEEE Conference on Communications and NetworkSecurity, CNS 2015