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Pérez Mariño, Inés ines.perez@urjc.es

Biología y Geología, Física y Química Inorgánica / Universidad Rey Juan Carlos

Publications

Open Access

An Interpretable Machine Learning Method for the Detection of Schizophrenia Using EEG Signals

  • Vazquez, Manuel A.
  • Maghsoudi, Arash
  • Marino, Ines P.;

Frontiers in Systems Neuroscience (p. 1-11) - 28/5/2021

https://doi.org/10.3389/fnsys.2021.652662 View at source

  • ISSN 16625137

Multi-Marker Longitudinal Algorithms Incorporating HE4 and CA125 in Ovarian Cancer Screening of Postmenopausal Women

  • Gentry-Maharaj, Aleksandra
  • Blyuss, Oleg
  • Ryan, Andy
  • Burnell, Matthew
  • Karpinskyj, Chloe
  • Gunu, Richard
  • Kalsi, Jatinderpal K.
  • Dawnay, Anne
  • Marino, Ines P.
  • Manchanda, Ranjit
  • Lu, Karen
  • Yang, Wei-Lei
  • Timms, John F.
  • Parmar, Max
  • Skates, Steven J.
  • Bast, Robert C., Jr.
  • Jacobs, Ian J.
  • Zaikin, Alexey
  • Menon, Usha;
... View more Collapse

Cancers (p. E1931-12) - 1/7/2020

10.3390/cancers12071931 View at source

  • ISSN 20726694

The Human Body as a Super Network: Digital Methods to Analyze the Propagation of Aging

  • Whitwell, Harry J.
  • Bacalini, Maria Giulia
  • Blyuss, Oleg
  • Chen, Shangbin
  • Garagnani, Paolo
  • Gordleeva, Susan Yu
  • Jalan, Sarika
  • Ivanchenko, Mikhail
  • Kanakov, Oleg
  • Kustikova, Valentina
  • Marino, Ines P.
  • Meyerov, Iosif
  • Ullner, Ekkehard
  • Franceschi, Claudio
  • Zaikin, Alexey;
... View more Collapse

Frontiers In Aging Neuroscience - 25/5/2020

10.3389/fnagi.2020.00136 View at source

  • ISSN 16634365

Bayesian Computation Methods for Inference in Stochastic Kinetic Models

  • Koblents, Eugenia
  • Marino, Ines P.
  • Miguez, Joaquin;

Complexity - 20/1/2019

10.1155/2019/7160934 View at source

  • ISSN 10762787

A quantitative performance study of two automatic methods for the diagnosis of ovarian cancer

  • Vazquez, Manuel A.
  • Marino, Ines P.
  • Blyuss, Oleg
  • Ryan, Andy
  • Gentry-Maharaj, Aleksandra
  • Kalsi, Jatinderpal
  • Manchandada, Ranjit
  • Jacobs, Ian
  • Menon, Usha
  • Zaikin, Alexey;
... View more Collapse

Biomedical Signal Processing and Control (p. 86-93) - 1/9/2018

10.1016%2fj.bspc.2018.07.001 View at source

  • EISSN 1746-8108
  • ISSN 1746-8094

Multiplex Decomposition of Non-Markovian Dynamics and the Hidden Layer Reconstruction Problem

  • Lacasa, Lucas
  • Marino, Ines P.
  • Miguez, Joaquin
  • Nicosia, Vincenzo
  • Roldan, Edgar
  • Lisica, Ana
  • Grill, Stephan W.
  • Gomez-Gardenes, Jesus;
... View more Collapse

Physical Review X - 7/8/2018

10.1103/physrevx.8.031038 View at source

  • ISSN 21603308

Comparison of Longitudinal CA125 Algorithms as a First-Line Screen for Ovarian Cancer in the General Population

  • Blyuss, Oleg
  • Burnell, Matthew
  • Ryan, Andy
  • Gentry-Maharaj, Aleksandra
  • Marino, Ines P.
  • Kalsi, Jatinderpal
  • Manchanda, Ranjit
  • Timms, John F.
  • Parmar, Mahesh
  • Skates, Steven J.
  • Jacobs, Ian
  • Zaikin, Alexey
  • Menon, Usha;
... View more Collapse

Clinical Cancer Research (p. 4726-4733) - 1/10/2018

10.1158/1078-0432.ccr-18-0208 View at source

  • ISSN 15573265
Open Access

Analysis of a nonlinear importance sampling scheme for Bayesian parameter estimation in state-space models

  • Miguez, Joaquin
  • Marino, Ines P.
  • Vazquez, Manuel A.;

SIGNAL PROCESSING (p. 281-291) - 1/1/2018

10.1016/j.sigpro.2017.07.030 View at source

  • EISSN 1872-7557
  • ISSN 01651684

Diagnosis of ovarian cancer based on longitudinal measurements of multiple biomarkers

  • Mariño IP
  • Vázquez MA
  • Blyuss O
  • Ryan A
  • Gentry-Maharaj A
  • Kalsi J
  • Manchanda R
  • Jacobs I
  • Menon U
  • Zaikin A
... View more Collapse

Opera Medica Et Physiologica (p. 71-72) - 1/1/2018

  • ISSN 25002295
  • iMarina

A comparison of Monte Carlo-based Bayesian parameter estimation methods for stochastic models of genetic networks

  • Marino, Ines P.
  • Zaikin, Alexey
  • Miguez, Joaquin;

PLoS One - 10/8/2017

10.1371/journal.pone.0182015 View at source

  • ISSN 1932-6203

This researcher has no books.

Phase Control in Nonlinear Systems

  • Zambrano S
  • Seoane JM
  • Marino IP
  • Sanjuán MAF
  • Meucci R

Recent Progress In Controlling Chaos (p. 147-187) - 1/1/2010

10.1142/9789814291705_0006 View at source

A predictive control approach for the generation and reconstruction of information-bearing chaotic signals

  • Inés Pérez Mariño
  • Epaminondas Jr Rosa
  • Celso Grebogi

Fith Baiona Workshop On Emerging Technologies In Telecommunications: Based On The Proceedings Of A Conference Organized By The University Of Vigo, Held At Baiona In September 1999 (p. 129-133) - 1/1/1999

  • iMarina

MULTILAYER MODELS OF RANDOM SEQUENCES: REPRESENTABILITY AND INFERENCE VIA NONLINEAR POPULATION MONTE CARLO

  • Miguez, J
  • Lacasa, L
  • Martinez-Ordonez, JA
  • Marino, IP

2019 IEEE 8TH INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING (CAMSAP 2019) (p. 629-633) - 1/1/2019

10.1109/camsap45676.2019.9022529 View at source

Adaptive noisy importance sampling for stochastic optimization

  • Deniz Akyildiz, Omer
  • Marino, Ines P.
  • Miguez, Joaquin;

2017 IEEE 7TH INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING (CAMSAP) (p. 1-5) - 1/1/2018

10.1109/camsap.2017.8313215 View at source

A nonlinear population Monte Carlo scheme for Bayesian parameter estimation in a stochastic intercellular network model

  • Miguez, J
  • Marino, IP

2015 IEEE 6TH INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING (CAMSAP) (p. 497-500) - 1/1/2015

10.1109/camsap.2015.7383845 View at source

PARTICLE FILTERING FOR BAYESIAN PARAMETER ESTIMATION IN A HIGH DIMENSIONAL STATE SPACE MODEL

  • Miguez J
  • Crisan D
  • Marino IP

28th European Signal Processing Conference (Eusipco 2020) (p. 1241-1245) - 1/1/2015

10.1109/eusipco.2015.7362582 View at source

  • ISSN 20761465

Adaptive procedure for the parameter estimation of a model of a CO2 chaotic laser

  • Marino, I. P.
  • Zambrano, S.
  • Sanjuan, M. A. F.
  • Salvadori, F.
  • Meucci, R.
  • Arecchi, F. T.;

International Journal Of Bifurcation And Chaos (p. 3639-3643) - 1/10/2007

10.1142/s0218127407019494 View at source

  • ISSN 02181274

Gradient-descent methods for parameter estimation in chaotic systems

  • Marino, IP
  • Miguez, J;

ISPA 2005: PROCEEDINGS OF THE 4TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (p. 440-445) - 1/1/2005

10.1109/ispa.2005.195452 View at source

Information encoding in homoclinic chaotic systems

  • Marino, IP
  • Allaria, E
  • Meucci, R
  • Boccaletti, S
  • Arecchi, FT;

Chaos (p. 286-290) - 1/3/2003

10.1063/1.1489115 View at source

  • ISSN 10541500

Information encoding in a chaotic laser

  • Marino IP
  • Allaria E
  • Meucci R
  • Boccaletti S
  • Arecchi FT

Proceedings Of Spie - The International Society For Optical Engineering (p. 1106-1107) - 1/1/2003

10.1117/12.531123 View at source

  • ISSN 0277786X

A novel channel coding scheme based on continuous-time chaotic dynamics

  • Marino, IP
  • Lopez, L
  • Miguez, J
  • Sanjuan, MAF

DSP 2002: 14TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING PROCEEDINGS, VOLS 1 AND 2 (p. 1321-1324) - 1/1/2002

10.1109/icdsp.2002.1028337 View at source

Reconstruction of information-bearing chaotic signals in additive white Gaussian noise: Performance analysis and evaluation

  • Marino, IP
  • Grebogi, C
  • Rosa, E;

International Journal Of Bifurcation And Chaos (p. 2631-2635) - 1/10/2001

10.1142/s021812740100367x View at source

  • ISSN 02181274

This researcher has no working papers.

This researcher has no technical reports.

This researcher has no research projects.

This researcher has no supervised thesis.

This researcher has no patents or software licenses.

Last data update: 8/12/23 3:00 AM