Martino, Luca luca.martino@urjc.es

Actividades

A Bayesian inference and model selection algorithm with an optimization scheme to infer the model noise power

  • Lopez-Santiago, J.
  • Martino, L.
  • Vazquez, M. A.
  • Miguez, J.;

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY (p. 3351-3361) - 1/11/2021

https://doi.org/10.1093/mnras/stab2303 Ver en origen

  • EISSN 1365-2966
  • ISSN 00358711

A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data

  • Berger, Katja
  • Rivera Caicedo, Juan Pablo
  • Martino, Luca
  • Wocher, Matthias
  • Hank, Tobias
  • Verrelst, Jochem;

Remote Sensing (p. 1-23) - 1/1/2021

10.3390/rs13020287 Ver en origen

  • ISSN 20724292

A fast universal self-tuned sampler within Gibbs sampling

  • Martino, L.
  • Yang, H.
  • Luengo, D.
  • Kanniainen, J.
  • Corander, J.;

Digital Signal Processing (p. 68-83) - 1/12/2015

10.1016/j.dsp.2015.04.005 Ver en origen

  • ISSN 10512004
Open Access

A generalization of the adaptive rejection sampling algorithm

  • Martino, Luca
  • Miguez, Joaquin;

STATISTICS AND COMPUTING (p. 633-647) - 1/10/2011

https://doi.org/10.1007/s11222-010-9197-9 Ver en origen

  • EISSN 1573-1375
  • ISSN 09603174

A joint introduction to Gaussian Processes and Relevance Vector Machines with connections to Kalman filtering and other kernel smoothers

  • Martino, Luca
  • Read, Jesse;

Information Fusion (p. 17-38) - 1/10/2021

10.1016/j.inffus.2021.03.002 Ver en origen

  • ISSN 15662535
Open Access

A likely magnetic activity cycle for the Exoplanet Host M Dwarf GJ 3512

  • Lopez-Santiago, Javier
  • Martino, Luca
  • Miguez, Joaquin
  • Vazquez, Manuel A.;

ASTRONOMICAL JOURNAL (p. 273) - 1/12/2020

https://doi.org/10.3847/1538-3881/abc171 Ver en origen

  • ISSN 00046256

A multi-point Metropolis scheme with generic weight functions

  • Martino, Luca
  • Pascual Del Olmo, Victor
  • Read, Jesse;

Statistics & Probability Letters (p. 1445-1453) - 1/7/2012

10.1016/j.spl.2012.04.008 Ver en origen

  • ISSN 01677152

A review of multiple try MCMC algorithms for signal processing

  • Martino, Luca;

Digital Signal Processing (p. 134-152) - 1/4/2018

10.1016/j.dsp.2018.01.004 Ver en origen

  • ISSN 10512004

A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking

  • Arulampalam, MS
  • Maskell, S
  • Gordon, N
  • Clapp, T;

Ieee Transactions On Signal Processing (p. 174-188) - 1/2/2002

10.1109/78.978374 Ver en origen

  • ISSN 1053587X

Active emulation of computer codes with Gaussian processes Application to remote sensing

  • Heestermans Svendsen, Daniel
  • Martino, Luca
  • Camps-Valls, Gustau;

Pattern Recognition - 1/4/2020

10.1016/j.patcog.2019.107103 Ver en origen

  • ISSN 00313203

Este/a investigador/a no tiene libros.

Introduction to Africana Demography Lessons from Founders E. Franklin Frazier, WEB Du Bois, and the Atlanta School of Sociology Introduction

  • Martin, Lori Latrice;

Studies In Critical Social Sciences (p. 1-21) - 1/1/2021

10.1163/9789004433168_002 Ver en origen

  • ISSN 15734234

An Adaptive Population Importance Sampler

  • Martino L
  • Elvira V
  • Luengo D
  • Corander J

Proceedings Of The 39th Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp) (p. 8.088-8.092) - 4/5/2014

10.1109/icassp.2014.6855166 Ver en origen

  • ISSN 15206149

Anti-tempered layered adaptive importance sampling

  • Martino L
  • Elvira V
  • Luengo D

International Conference On Digital Signal Processing, Dsp (p. 1-5) - 3/11/2017

10.1109/icdsp.2017.8096043 Ver en origen

  • ISSN 15461874

Automatic Emulation by Adaptive Relevance Vector Machines

  • Martino, Luca
  • Vicent, Jorge
  • Camps-Valls, Gustau;

Lecture Notes In Computer Science (p. 443-454) - 1/1/2017

10.1007/978-3-319-59126-1_37 Ver en origen

  • ISSN 03029743

Bias Correction for Distributed Bayesian Estimators

  • Luengo D
  • Martino L
  • Elvira V
  • Bugallo M

Proceedings Of The 6th Ieee International Workshop On Computational Advances In Multi-Sensor Adaptive Processing (Camsap) (p. 257-260) - 13/12/2015

10.1109/camsap.2015.7383784 Ver en origen

DISTRIBUTED PARTICLE METROPOLIS-HASTINGS SCHEMES

  • Martino, Luca
  • Elvira, Victor
  • Camps-Valls, Gustau;

2018 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP (SSP) (p. 553-557) - 1/1/2018

  • iMarina

Deep Encoder-Decoder Neural Network Architectures for Graph Output Signals

  • Rey, S
  • Tenorio, V
  • Rozada, S
  • Martino, L
  • Marques, AG

Conference Record Of The Asilomar Conference On Signals, Systems And Computers (p. 225-229) - 1/1/2019

10.1109/ieeeconf44664.2019.9048908 Ver en origen

  • ISSN 10586393

EFFICIENT MONTE CARLO OPTIMIZATION FOR MULTI-LABEL CLASSIFIER CHAINS

  • LUENGO GARCIA, DAVID

Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings (p. 3457-3461) - 18/10/2013

10.1109/icassp.2013.6638300 Ver en origen

  • ISSN 15206149

Efficient linear combination of partial Monte Carlo estimators

  • LUENGO GARCIA, DAVID

Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings (p. 4100-4104) - 4/8/2015

10.1109/icassp.2015.7178742 Ver en origen

  • ISSN 15206149

FULLY ADAPTIVE GAUSSIAN MIXTURE METROPOLIS-HASTINGS ALGORITHM

  • LUENGO GARCIA, DAVID

Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings (p. 6148-6152) - 18/10/2013

10.1109/icassp.2013.6638846 Ver en origen

  • ISSN 15206149

Gauss-Hermite Quadrature for non-Gaussian Inference via an Importance Sampling Interpretation

  • Elvira V
  • Closas P
  • Martino L

28th European Signal Processing Conference (Eusipco 2020) - 1/1/2019

10.23919/eusipco.2019.8902662 Ver en origen

  • ISSN 22195491

Adaptive quadrature schemes for Bayesian inference via active learning

  • Fernandez, Fernando Llorente
  • Martino, Luca
  • Elvira, Victor
  • Delgado, David
  • Lopez-Santiago, Javier;

IEEE Access (p. 208462-208483) - 1/12/2020

Editor: UNIVERSIDAD CARLOS III DE MADRID

https://doi.org/10.1109/access.2020.3038333 Ver en origen

  • EISSN 2169-3536
  • ISSN 21693536

Este/a investigador/a no tiene informes técnicos.

Este/a investigador/a no tiene proyectos de investigación.

Este/a investigador/a no tiene tesis dirigidas.

Este/a investigador/a no tiene patentes o licencias de software.

Última actualización de los datos: 5/03/24 16:41