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Martino, Luca luca.martino@urjc.es

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

Actividades

An Adaptive Population Importance Sampler: Learning From Uncertainty

  • Martino, Luca
  • Elvira, Victor
  • Luengo, David
  • Corander, Jukka;

Ieee Transactions On Signal Processing (p. 4422-4437) - 15/8/2015

10.1109/tsp.2015.2440215 Ver en origen

  • ISSN 1053587X

An Exhaustive Variable Selection Study for Linear Models of Soundscape Emotions: Rankings and Gibbs Analysis

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

Ieee-Acm Transactions On Audio Speech And Language Processing (p. 2460-2474) - 1/1/2022

10.1109/taslp.2022.3192664 Ver en origen

  • ISSN 15587916

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

Compressed Monte Carlo with application in particle filtering

  • Martino, Luca
  • Elvira, Victor;

Information Sciences (p. 331-352) - 1/4/2021

10.1016/j.ins.2020.10.022 Ver en origen

  • ISSN 00200255

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
Open Access

Improving the Teaching of Hypothesis Testing Using a Divide-and-Conquer Strategy and Content Exposure Control in a Gamified Environment

  • Delgado-Gomez, David
  • Gonzalez-Landero, Franks
  • Montes-Botella, Carlos
  • Sujar, Aaron
  • Bayona, Sofia
  • Martino, Luca;

Mathematics (p. 2244) - 1/12/2020

https://doi.org/10.3390/math8122244 Ver en origen

  • ISSN 22277390
Open Access

Automatic tempered posterior distributions for bayesian inversion problems

  • Martino, Luca
  • Llorente, Fernando
  • Curbelo, Ernesto
  • Lopez-Santiago, Javier
  • Miguez, Joaquin;

Mathematics (p. 784) - 1/4/2021

https://doi.org/10.3390/math9070784 Ver en origen

  • ISSN 22277390

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 Ver en origen

  • ISSN 09252312

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 Ver en origen

  • ISSN 0031-3203

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

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