Martino, Luca luca.martino@urjc.es

Actividades

Open Access

Compressed Particle Methods for Expensive Models with Application in Astronomy and Remote Sensing

  • Martino, Luca
  • Elvira, Victor
  • Lopez-Santiago, Javier
  • Camps-Valls, Gustau;

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS (p. 2607-262) - 1/10/2021

10.1109/taes.2021.3061791 Ver en origen

  • EISSN 1557-9603
  • ISSN 0018-9251

Cooperative parallel particle filters for online model selection and applications to urban mobility

  • Martino, Luca
  • Read, Jesse
  • Elvira, Victor
  • Louzada, Francisco;

Digital Signal Processing (p. 172-185) - 1/1/2017

10.1016/j.dsp.2016.09.011 Ver en origen

  • ISSN 10512004
Open Access

Deep importance sampling based on regression for model inversion and emulation

  • Llorente, F.
  • Martino, L.
  • Delgado-Gomez, D.
  • Camps-Valls, G.;

DIGITAL SIGNAL PROCESSING (p. 1-22) - 1/9/2021

https://doi.org/10.1016/j.dsp.2021.103104 Ver en origen

  • EISSN 1095-4333
  • ISSN 1051-2004

Effective sample size for importance sampling based on discrepancy measures

  • Martino, Luca
  • Elvira, Victor
  • Louzada, Francisco;

Signal Processing (p. 386-401) - 1/2/2017

10.1016/j.sigpro.2016.08.025 Ver en origen

  • ISSN 01651684

Efficient Metropolis-Hastings Proposal Mechanisms for Bayesian Regression Tree Models Comment

  • Mohammadi, Abdolreza
  • Kaptein, Maurits;

Bayesian Analysis (p. 938-940) - 1/9/2016

  • ISSN 19316690
  • iMarina

Efficient Metropolis-Hastings Proposal Mechanisms for Bayesian Regression Tree Models Contributed Discussion

  • Chkrebtii, Oksana A.;

Bayesian Analysis (p. 929-931) - 1/9/2016

10.1214/16-ba999h Ver en origen

  • ISSN 19316690

Efficient linear fusion of partial estimators

  • Luengo, David
  • Martino, Luca
  • Elvira, Victor
  • Bugallo, Monica;

Digital Signal Processing (p. 265-283) - 1/7/2018

10.1016/j.dsp.2018.03.006 Ver en origen

  • ISSN 10512004

Efficient monte carlo methods for multi-dimensional learning with classifier chains

  • Read, Jesse
  • Martino, Luca
  • Luengo, David;

Pattern Recognition (p. 1535-1546) - 1/3/2014

10.1016/j.patcog.2013.10.006 Ver en origen

  • ISSN 00313203

Efficient multiple importance sampling estimators

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

Ieee Signal Processing Letters (p. 1757-1761) - 1/10/2015

10.1109/lsp.2015.2432078 Ver en origen

  • ISSN 10709908

Efficient random variable generation: ratio of uniforms and polar rejection sampling

  • Luengo, D.
  • Martino, L.;

Electronics Letters (p. 326-U86) - 15/3/2012

10.1049/el.2012.0206 Ver en origen

  • ISSN 00135194

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

A Comparison of Clipping Strategies for Importance Sampling

  • Martino, L.
  • Elvira, V
  • Miguez, J.
  • Artes-Rodriguez, A.
  • Djuric, P. M.;

2018 IEEE Statistical Signal Processing Workshop, SSP 2018 (p. 558-562) - 1/1/2018

Editor: IEEE Computer Society.

https://doi.org/10.1109/ssp.2018.8450722 Ver en origen

A Multi-Model Particle Filtering Algorithm for Indoor Tracking of Mobile Terminals Using RSS Data

  • Achutegui, Katrin
  • Martino, Luca
  • Rodas, Javier
  • Escudero, Carlos J.
  • Miguez, Joaquin;

Proceedings Of The Ieee Conference On Control Applications (p. 1702-+) - 1/1/2009

10.1109/cca.2009.5280960 Ver en origen

  • ISSN 10851992

A NEW STRATEGY FOR EFFECTIVE LEARNING IN POPULATION MONTE CARLO SAMPLING

  • Bugallo, Monica F.
  • Elvira, Victor
  • Martino, Luca;

Conference Record Of The Asilomar Conference On Signals, Systems And Computers (p. 1540-1544) - 1/1/2016

  • ISSN 10586393
  • iMarina

A NOVEL REJECTION SAMPLING SCHEME FOR POSTERIOR PROBABILITY DISTRIBUTIONS

  • Martino, Luca
  • Miguez, Joaquin;

2014 Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp) (p. 2921-2924) - 1/1/2009

10.1109/icassp.2009.4960235 Ver en origen

  • ISSN 15206149

A REJECTION SAMPLING SCHEME FOR POSTERIOR PROBABILITY DISTRIBUTIONS VIA THE RATIO-OF-UNIFORMS METHOD

  • Martino, Luca
  • Miguez, Joaquin;

28th European Signal Processing Conference (Eusipco 2020) (p. 174-178) - 1/1/2010

  • ISSN 20761465
  • iMarina

A gradient adaptive population importance sampler

  • LUENGO GARCIA, DAVID

Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings (p. 4075-4079) - 4/8/2015

10.1109/icassp.2015.7178737 Ver en origen

  • ISSN 15206149

ADAPTIVE SEQUENTIAL INTERPOLATOR USING ACTIVE LEARNING FOR EFFICIENT EMULATION OF COMPLEX SYSTEMS

  • Martino, L
  • Svendsen, DH
  • Vicent, J
  • Camps-Valls, G

2014 Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp) (p. 3577-3581) - 1/1/2020

10.1109/icassp40776.2020.9053372 Ver en origen

  • ISSN 15206149

ALTERNATIVE EFFECTIVE SAMPLE SIZE MEASURES FOR IMPORTANCE SAMPLING

  • Martino, L.
  • Elvira, V.
  • Louzada, F.;

2016 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP (SSP) - 1/1/2016

  • iMarina

AN ADAPTIVE ACCEPT/REJECT SAMPLING ALGORITHM FOR POSTERIOR PROBABILITY DISTRIBUTIONS

  • Martino, Luca
  • Miguez, Joaquin;

2009 IEEE/SP 15TH WORKSHOP ON STATISTICAL SIGNAL PROCESSING, VOLS 1 AND 2 (p. 45-48) - 1/1/2009

10.1109/ssp.2009.5278644 Ver en origen

AUTOMATIC EMULATOR AND OPTIMIZED LOOK-UP TABLE GENERATION FOR RADIATIVE TRANSFER MODELS

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

Igarss 2018 - 2018 Ieee International Geoscience And Remote Sensing Symposium (p. 1457-1460) - 1/1/2017

  • ISSN 21536996
  • iMarina

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