Inés P. Mariño

Universidad Rey Juan Carlos — Spain

Computer Science · Physical Sciences

19h-index842citations70works4.02yr avg
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Research Topics

Nonlinear Dynamics and Pattern Formation(31), Chaos control and synchronization(26), Quantum chaos and dynamical systems(12), Ovarian cancer diagnosis and treatment(9), Complex Systems and Time Series Analysis(9)

Publications70 total

Chaotic intermittency as a random telegraphic signal
Chaos Solitons & Fractals·2025
Master-slave coupling scheme for synchronization and parameter estimation in the generalized Kuramoto-Sivashinsky equation
Physical review. E·2024· 1 citedOpen Access
Bayesian and deep‐learning models applied to the early detection of ovarian cancer using multiple longitudinal biomarkers
Cancer Medicine·2024· 11 citedOpen Access
A Sequential Monte Carlo Method for Parameter Estimation in Nonlinear Stochastic PDE's with Periodic Boundary Conditions
2023
A master-slave coupling scheme for synchronization and parameter estimation in the generalized Kuramoto-Sivashinsky equation
arXiv (Cornell University)·2023Open Access
Data from Comparison of Longitudinal CA125 Algorithms as a First-Line Screen for Ovarian Cancer in the General Population
2023Open Access
Data from Comparison of Longitudinal CA125 Algorithms as a First-Line Screen for Ovarian Cancer in the General Population
2023Open Access
Supplementary Table 1 from Comparison of Longitudinal CA125 Algorithms as a First-Line Screen for Ovarian Cancer in the General Population
2023Open Access
Supplementary Table 1 from Comparison of Longitudinal CA125 Algorithms as a First-Line Screen for Ovarian Cancer in the General Population
2023Open Access
Computational learning methods for early detection of ovarian cancer
2021
An Interpretable Machine Learning Method for the Detection of Schizophrenia Using EEG Signals
Frontiers in Systems Neuroscience·2021· 40 citedOpen Access
Multi-Marker Longitudinal Algorithms Incorporating HE4 and CA125 in Ovarian Cancer Screening of Postmenopausal Women
Cancers·2020· 33 citedOpen Access
The Human Body as a Super Network: Digital Methods to Analyze the Propagation of Aging
Frontiers in Aging Neuroscience·2020· 30 citedOpen Access
Multilayer Models of Random Sequences: Representability and Inference via Nonlinear Population Monte Carlo
2019
Bayesian Computation Methods for Inference in Stochastic Kinetic Models
Complexity·2019· 4 citedOpen Access
Probabilistic scheme for joint parameter estimation and state prediction in complex dynamical systems
Physical review. E·2018· 19 citedOpen Access
How detecting change-points in biomarkers time series can support the diagnostic approaches of ovarian cancer
Meta Gene·2018
Multiplex Decomposition of Non-Markovian Dynamics and the Hidden Layer Reconstruction Problem
Physical Review X·2018· 26 citedOpen Access
A quantitative performance study of two automatic methods for the diagnosis of ovarian cancer
Biomedical Signal Processing and Control·2018· 35 citedOpen Access
Comparison of Longitudinal CA125 Algorithms as a First-Line Screen for Ovarian Cancer in the General Population
Clinical Cancer Research·2018· 50 citedOpen Access
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Frequent Co-authors

Joaquı́n Mı́guez(14), Miguel A. F. Sanjuán(11), R. Meucci(11), V. Pérez‐Muñuzuri(9), V. Pérez-Villar(8), Alexey Zaikin(8), F. T. Arecchi(7), Oleg Blyuss(6), Samuel Zambrano(6), Manuel A. Matı́as(5), Aleksandra Gentry‐Maharaj(5), Ian Jacobs(5), Usha Menon(5), Andy Ryan(4), Jatinderpal Kalsi(4), Jesús M. Seoane(4), M. N. Lorenzo(3), Ranjit Manchanda(3), John F. Timms(3), Manuel A. Vázquez(3)