Gert R. G. Lanckriet

Research.com Recognitions

• 2011 - Fellow of Alfred P. Sloan Foundation
• 2009 - Hellman Fellow

Overview

Best Publications

• Learning the Kernel Matrix with Semidefinite Programming

  Gert R. G. Lanckriet;Nello Cristianini;Peter Bartlett;Laurent El Ghaoui

  3089
  Citations

• Multiple kernel learning, conic duality, and the SMO algorithm

  Francis R. Bach;Gert R. G. Lanckriet;Michael I. Jordan

  1958
  Citations

• A new approach to cross-modal multimedia retrieval

  Nikhil Rasiwasia;Jose Costa Pereira;Emanuele Coviello;Gabriel Doyle

  1494
  Citations

• A Direct Formulation for Sparse PCA Using Semidefinite Programming

  Alexandre d'Aspremont;Laurent El Ghaoui;Michael I. Jordan;Gert R. G. Lanckriet

  1122
  Citations

• A statistical framework for genomic data fusion

  Gert R. G. Lanckriet;Tijl De Bie;Nello Cristianini;Michael I. Jordan

  916
  Citations

• Financial time series prediction using least squares support vector machines within the evidence framework

  T. Van Gestel;J.A.K. Suykens;D.-E. Baestaens;A. Lambrechts

  766
  Citations

• Hilbert Space Embeddings and Metrics on Probability Measures

  Bharath K. Sriperumbudur;Arthur Gretton;Kenji Fukumizu;Bernhard Schölkopf

  740
  Citations

• Semantic Annotation and Retrieval of Music and Sound Effects

  D. Turnbull;L. Barrington;D. Torres;G. Lanckriet

  656
  Citations

• A robust minimax approach to classification

  Gert R.G. Lanckriet;Laurent El Ghaoui;Chiranjib Bhattacharyya;Michael I. Jordan

  604
  Citations

• On the Role of Correlation and Abstraction in Cross-Modal Multimedia Retrieval

  Jose Costa Pereira;Emanuele Coviello;Gabriel Doyle;Nikhil Rasiwasia

  479
  Citations

• Metric Learning to Rank

  Brian Mcfee;Gert R. Lanckriet

  450
  Citations

• Kernel-based data fusion and its application to protein function prediction in yeast.

  Gert R. G. Lanckriet;Minghua Deng;Nello Cristianini;Michael I. Jordan

  440
  Citations

• Universality, Characteristic Kernels and RKHS Embedding of Measures

  Bharath K. Sriperumbudur;Kenji Fukumizu;Gert R. G. Lanckriet

  419
  Citations

• On the Convergence of the Concave-Convex Procedure

  Gert R. Lanckriet;Bharath K. Sriperumbudur

  415
  Citations

• Bayesian framework for least-squares support vector machine classifiers, Gaussian processes, and kernel fisher discriminant analysis

  T. Van Gestel;J. A. K. Suykens;G. Lanckriet;A. Lambrechts

  409
  Citations

• A random forest classifier for the prediction of energy expenditure and type of physical activity from wrist and hip accelerometers.

  Katherine Ellis;Jacqueline Kerr;Suneeta Godbole;Gert Lanckriet

  393
  Citations

• On the empirical estimation of integral probability metrics

  Bharath K. Sriperumbudur;Kenji Fukumizu;Arthur Gretton;Bernhard Schoelkopf

  301
  Citations

• A critical assessment of Mus musculus gene function prediction using integrated genomic evidence.

  Lourdes Pena-Castillo;Murat Tasan;Chad L Myers;Hyunju Lee

  298
  Citations

• Recognizing Detailed Human Context in the Wild from Smartphones and Smartwatches

  Yonatan Vaizman;Katherine Ellis;Gert Lanckriet

  295
  Citations

• Learning the Kernel Matrix with Semi-Definite Programming

  Gert R. G. Lanckriet;Nello Christianini;Peter L. Bartlett;Laurent El Ghaoui

  233
  Citations

• Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher

  G. Lanckriet;A. Lambrechts;J. Vandewalle

  0
  Citations