RDF/XML JSON-LD N3/Turtle RDF/JSON

Martino, Luca luca.martino@urjc.es

Teoría de la Señal y Comunicaciones y Sistemas Telemáticos y Computación / Universidad Rey Juan Carlos

Actividades

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

Multi-label methods for prediction with sequential data

  • Read, Jesse
  • Martino, Luca
  • Hollmen, Jaakko;

Pattern Recognition (p. 45-55) - 1/3/2017

10.1016/j.patcog.2016.09.015 Ver en origen

  • ISSN 00313203

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

Optimality in noisy importance sampling

  • Llorente, Fernando
  • Martino, Luca
  • Read, Jesse
  • Delgado-Gomez, David;

SIGNAL PROCESSING (p. 1-7) - 1/5/2022

https://doi.org/10.1016/j.sigpro.2022.108455 Ver en origen

  • EISSN 1872-7557
  • ISSN 01651684
Open Access

Generalized rejection sampling schemes and applications in signal processing

  • Martino, Luca
  • Miguez, Joaquin;

SIGNAL PROCESSING (p. 2981-2995) - 1/11/2010

https://doi.org/10.1016/j.sigpro.2010.04.025 Ver en origen

  • EISSN 1872-7557
  • ISSN 01651684
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

On the variety of linear recurrences and numerical semigroups

  • Martino, Ivan
  • Martino, Luca;

Semigroup Forum (p. 569-574) - 1/6/2014

10.1007/s00233-013-9551-2 Ver en origen

  • ISSN 00371912

Marginal Likelihood Computation for Model Selection and Hypothesis Testing: An Extensive Review

  • Llorente, F.
  • Martino, L.
  • Delgado, D.
  • Lopez-Santiago, J.;

Siam Review (p. 3-58) - 1/1/2023

10.1137/20m1310849 Ver en origen

  • ISSN 00361445

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

Improving population Monte Carlo: Alternative weighting and resampling schemes

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

Signal Processing (p. 77-91) - 1/2/2017

10.1016/j.sigpro.2016.07.012 Ver en origen

  • ISSN 01651684

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

On the computation of marginal likelihood via mcmc for model selection and hypothesis testing

  • Llorente F
  • Martino L
  • Delgado D
  • López-Santiago J

(EUSIPCO 2020) 2020 28th European Signal Processing Conference - Virtual Conference<br/> (p. 2373-2377) - 1/1/2021

Editor: IEEE.THE INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS, INC

https://doi.org/10.23919/eusipco47968.2020.9287757 Ver en origen

  • ISSN 22195491

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

PARTICLE GROUP METROPOLIS METHODS FOR TRACKING THE LEAF AREA INDEX

  • Martino, L
  • Elvira, V
  • Camps-Valls, G

2014 Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp) (p. 5865-5869) - 1/1/2020

10.1109/icassp40776.2020.9053962 Ver en origen

  • ISSN 15206149

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

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

Parallel interacting Markov adaptive importance sampling

  • LUENGO GARCIA, DAVID

2015 23rd European Signal Processing Conference, Eusipco 2015 (p. 499-503) - 22/12/2015

10.1109/eusipco.2015.7362433 Ver en origen

  • ISSN 20761465

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

WEIGHTING A RESAMPLED PARTICLE IN SEQUENTIAL MONTE CARLO

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

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

  • iMarina

Population Monte Carlo schemes with reduced path degeneracy

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

2017 Ieee 7th International Workshop On Computational Advances In Multi-Sensor Adaptive Processing, Camsap 2017 (p. 1-5) - 9/3/2018

10.1109/camsap.2017.8313090 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

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