Martino, Luca luca.martino@urjc.es

Publications

Universal and automatic elbow detection for learning the effective number of components in model selection problems

  • Morgado, Eduardo
  • Martino, Luca
  • San Millan-Castillo, Roberto;

Digital Signal Processing - 15/6/2023

10.1016/j.dsp.2023.104103 View at source

  • ISSN 10512004

The Recycling Gibbs sampler for efficient learning

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

Digital Signal Processing (p. 1-13) - 1/3/2018

10.1016/j.dsp.2017.11.012 View at source

  • ISSN 10512004

Target-aware Bayesian inference via generalized thermodynamic integration

  • Llorente, F.
  • Martino, L.
  • Delgado, D.;

Computational Statistics - 24/4/2023

10.1007/s00180-023-01358-0 View at source

  • ISSN 09434062

Scalable multi-output label prediction: From classifier chains to classifier trellises

  • Read, Jesse
  • Martino, Luca
  • Olmos, Pablo M.
  • Luengo, David;

Pattern Recognition (p. 2096-2109) - 1/6/2015

10.1016/j.patcog.2015.01.004 View at source

  • ISSN 0031-3203

Retrieval of Physical Parameters With Deep Structured Kernel Regression

  • Camps-Valls, Gustau
  • Campos-Taberner, Manuel
  • Laparra, Valero
  • Martino, Luca
  • Munoz-Mari, Jordi;

Ieee Transactions On Geoscience And Remote Sensing - 1/1/2022

10.1109/tgrs.2022.3211554 View at source

  • ISSN 01962892

Rethinking the Effective Sample Size

  • Elvira V
  • Martino L
  • Robert CP

INTERNATIONAL STATISTICAL REVIEW (p. 525-550) - 10/4/2022

10.1111/insr.12500 View at source

  • ISSN 03067734

Probabilistic regressor chains with Monte Carlo methods

  • Read, Jesse
  • Martino, Luca;

Neurocomputing (p. 471-486) - 6/11/2020

10.1016/j.neucom.2020.05.024 View at source

  • ISSN 09252312

Physics-aware Gaussian processes in remote sensing

  • Camps-Valls, Gustau
  • Martino, Luca
  • Svendsen, Daniel H.
  • Campos-Taberner, Manuel
  • Munoz-Mari, Jordi
  • Laparra, Valero
  • Luengo, David
  • Javier Garcia-Haro, Francisco;
... View more Collapse

Applied Soft Computing (p. 69-82) - 1/7/2018

10.1016/j.asoc.2018.03.021 View at source

  • ISSN 15684946

Parsimonious adaptive rejection sampling

  • Martino, L.;

Electronics Letters (p. 1115-1116) - 3/8/2017

10.1049/el.2017.1711 View at source

  • ISSN 00135194

Parallel Metropolis-Hastings Coupler

  • Llorente, Fernando
  • Martino, Luca
  • Delgado, David;

IEEE SIGNAL PROCESSING LETTERS (p. 953-957) - 1/6/2019

10.1109/lsp.2019.2913470 View at source

  • EISSN 1558-2361
  • ISSN 10709908

This researcher has no books.

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 View at source

  • ISSN 15734234

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

Sticky proposal densities for adaptive MCMC methods

  • Roberto Casarin
  • Luca Martino
  • LUENGO GARCIA, DAVID

Ieee Workshop On Statistical Signal Processing Proceedings (p. 1-5) - 24/8/2016

10.1109/ssp.2016.7551746 View at source

Smelly parallel MCMC chains

  • LUENGO GARCIA, DAVID

Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings (p. 4070-4074) - 4/8/2015

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

10.1109/icassp.2015.7178736 View at source

  • ISBN 978-1-4673-6997-8
  • ISSN 15206149

Recycling Gibbs Sampling

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

28th European Signal Processing Conference (Eusipco 2020) (p. 171-175) - 1/1/2017

  • ISSN 20761465
  • iMarina

Probabilistic Cross-Validation Estimators for Gaussian Process Regression

  • Martino, Luca
  • Laparra, Valero
  • Camps-Valls, Gustau;

28th European Signal Processing Conference (Eusipco 2020) (p. 823-827) - 1/1/2017

  • ISSN 20761465
  • 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 View at source

Physics-Aware Gaussian Processes for Earth Observation

  • Camps-Valls, Gustau
  • Svendsen, Daniel H.
  • Martino, Luca
  • Munoz-Mari, Jordi
  • Laparra, Valero
  • Campos-Taberner, Manuel
  • Luengo, David;
... View more Collapse

Proceedings Of The Scandinavian Conference On Image Analysis (Scia) (p. 205-217) - 12/6/2017

10.1007/978-3-319-59129-2_18 View at source

  • ISSN 03029743

Parallel metropolis chains with cooperative adaptation

  • Víctor Elvira
  • Luca Martino
  • Francisco Louzada
  • LUENGO GARCIA, DAVID

Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings (p. 3974-3978) - 18/5/2016

10.1109/icassp.2016.7472423 View at source

  • 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 View at source

  • ISSN 20761465

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 View at source

  • ISSN 15206149

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 View at source

  • EISSN 2169-3536
  • ISSN 21693536

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: 3/5/24 4:41 PM