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Gustau Camps-Valls

  • PhD
  • Associate professor
  • University of Valencia
  • 40h-indexImpact measure calculated using publication and citation counts. Updated daily.
  • 6872CitationsNumber of citations received by Gustau's publications. Updated daily.

Other IDs

Research interests

Gaussian processesKernel methodsClimate scienceGeosciencesRemote sensingImage processingSignal processingMachine learning

About

Gustau Camps-Valls (IEEE Member'04, IEEE Senior Member'07) received a B.Sc. degree in Physics (1996), in Electronics Engineering (1998), and a Ph.D. degree in Physics (2002) all from the Universitat de València. He is currently an associate professor (hab. Full professor) in the Department of Electronics Engineering. His is a research coordinator in the Image and Signal Processing (ISP) group. He has been Visiting Researcher at the Remote Sensing Laboratory (Univ. Trento, Italy) in 2002, the Max Planck Institute for Biological Cybernetics (Tübingen, Germany) in 2009, and as Invited Professor at the Laboratory of Geographic Information Systems of the École Polytechnique Fédérale de Lausanne (Lausanne, Switzerland) in 2013. He is interested in the development of machine learning algorithms for geoscience and remote sensing data analysis. He is an author of 120 journal papers, more than 150 conference papers, 20 international book chapters, and editor of the books "Kernel methods in bioengineering, signal and image processing" (IGI, 2007), "Kernel methods for remote sensing data analysis" (Wiley & Sons, 2009), and "Remote Sensing Image Processing" (MC, 2011). He's a co-editor of the forthcoming book "Digital Signal Processing with Kernel Methods" (Wiley & sons, 2015). He holds a Hirsch's index h=42 (see Google Scholar page), entered the ISI list of Highly Cited Researchers in 2011, and Thomson Reuters ScienceWatch identified one of his papers on kernel-based analysis of hyperspectral images as a Fast Moving Front research. In 2015, he obtained the prestigious European Research Council (ERC) consolidator grant on Statistical learning for Earth observation data analysis. He is a referee and Program Committee member of many international journals and conferences. Since 2007 he is member of the Data Fusion technical committee of the IEEE GRSS, and since 2009 of the Machine Learning for Signal Processing Technical Committee of the IEEE SPS. He is member of the MTG-IRS Science Team (MIST) of EUMETSAT. He is Associate Editor of the IEEE Transactions on Signal Processing, IEEE Signal Processing Letters, IEEE Geoscience and Remote Sensing Letters, and invited guest editor for IEEE Journal of Selected Topics in Signal Processing (2012) and IEEE Geoscience and Remote Sensing Magazine (2015).

Co-authors (234)

  • Pedro Pedrosa
  • Percy Elbis Colque Caillahua
  • Sathishkumar Samiappan
  • Nidhin Prabhakar T V

Publications (196)

Land use classification from sentinel-2 imagery

  • Borràs J
  • Delegido J
  • Pezzola A
Revista de Teledeteccion (2017)
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    Readers

  • 0

    Citations

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Multimodal Classification of Remote Sensing Images: A Review and Future Directions

  • Gomez-Chova L
  • Tuia D
  • Moser G
Proceedings of the IEEE (2015)
  • n/a

    Readers

  • 29

    Citations

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Statistical criteria for early-stopping of support vector machines

  • Bandos T
  • Camps-Valls G
  • Soria-Olivas E
Neurocomputing (2007)
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    Readers

  • 2

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Retrieval of oceanic chlorophyll concentration with relevance vector machines

  • Camps-Valls G
  • Gómez-Chova L
  • Muñoz-Marí J
Remote Sensing of Environment (2006)
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    Readers

  • 57

    Citations

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Unbiased sensitivity analysis and pruning techniques in neural networks for surface ozone modelling

  • Pastor-Bárcenas O
  • Soria-Olivas E
  • Martín-Guerrero J
Ecological Modelling (2005)
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    Readers

  • 48

    Citations

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Professional experience

Associate professor

Universitat de Valencia

October 2009 - Present