Martino, Luca luca.martino@urjc.es

Publications

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

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 View at source

  • ISSN 10512004

Adaptive importance sampling in signal processing

  • Bugallo, Monica F.
  • Martino, Luca
  • Corander, Jukka;

Digital Signal Processing (p. 36-49) - 1/12/2015

10.1016/j.dsp.2015.05.014 View at source

  • ISSN 10512004

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 View at source

  • ISSN 10709908

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 View at source

  • ISSN 00371912

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 View at source

  • ISSN 00313203

On the flexibility of the design of multiple try Metropolis schemes

  • Martino, Luca
  • Read, Jesse;

Computational Statistics (p. 2797-2823) - 1/12/2013

10.1007/s00180-013-0429-2 View at source

  • ISSN 09434062

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 View at source

  • ISSN 01677152

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 View at source

  • ISSN 00135194

Almost rejectionless sampling from Nakagami-m distributions (m >= 1)

  • Luengo, D.
  • Martino, L.;

Electronics Letters (p. 1559-1560) - 22/11/2012

10.1049/el.2012.3513 View at source

  • ISSN 00135194

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

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 View at source

  • ISSN 22195491

Overparametrized Deep Encoder-Decoder Schemes for Inputs and Outputs Defined over Graphs

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

28th European Signal Processing Conference (Eusipco 2020) (p. 855-859) - 1/1/2021

10.23919/eusipco47968.2020.9287748 View at source

  • ISSN 22195491

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 View at source

  • ISSN 15206149

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

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 View at source

  • ISSN 10586393

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 View at source

  • ISSN 22195491

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

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 View at source

In Search for Improved Auxiliary Particle Filters

  • Elvira, Victor
  • Martino, Luca
  • Bugallo, Monica F.
  • Djuric, Petar M.;

28th European Signal Processing Conference (Eusipco 2020) (p. 1637-1641) - 1/1/2018

  • ISSN 20761465
  • iMarina

MULTIOUTPUT AUTOMATIC EMULATOR FOR RADIATIVE TRANSFER MODELS

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

Igarss 2018 - 2018 Ieee International Geoscience And Remote Sensing Symposium (p. 4019-4022) - 1/1/2018

  • 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 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