Standout Papers

Gene Selection for Cancer Classification using Support Vector Machines 2000 2026 2008 2017 5.8k
  1. Gene Selection for Cancer Classification using Support Vector Machines (2002)
    Isabelle Guyon, Jason Weston et al. Machine Learning
  2. Learning with Local and Global Consistency (2003)
    Dengyong Zhou, Olivier Bousquet et al. MPG.PuRe (Max Planck Society)
  3. Semi-supervised learning for peptide identification from shotgun proteomics datasets (2007)
    Lukas Käll, Jesse D. Canterbury et al. Nature Methods
  4. Fisher discriminant analysis with kernels (2003)
    Mika Sirén, Gunnar Rätsch et al. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)
  5. Feature Selection for SVMs (2000)
    Jason Weston, Sayan Mukherjee et al. UCL Discovery (University College London)
  6. A User’s Guide to Support Vector Machines (2009)
    Asa Ben‐Hur, Jason Weston Methods in molecular biology
  7. A semantic matching energy function for learning with multi-relational data (2013)
    Antoine Bordes, Xavier Glorot et al. Machine Learning

Immediate Impact

26 by Nobel laureates 20 from Science/Nature 84 standout
Sub-graph 1 of 20

Citing Papers

Analysis of DIA proteomics data using MSFragger-DIA and FragPipe computational platform
2023 Standout
Hallucinating symmetric protein assemblies
2022 StandoutScienceNobel
19 intermediate papers

Works of Jason Weston being referenced

Semi-supervised learning for peptide identification from shotgun proteomics datasets
2007 Standout

Author Peers

Author Last Decade Papers Cites
Jason Weston 6474 4948 5087 91 17.3k
Nello Cristianini 7581 5015 5721 254 24.7k
Laurens van der Maaten 8629 6756 4074 36 23.2k
Brendan J. Frey 3669 2189 10042 120 19.4k
John Shawe‐Taylor 11202 6976 2568 262 24.8k
J. A. Hartigan 5478 2473 2610 82 19.0k
Alex Smola 9645 4970 1396 89 25.0k
Teuvo Kohonen 12933 6109 2686 76 29.4k
Christopher J. C. Burges 5770 4492 1702 21 16.2k
Alexander J. Smola 7780 6058 1819 57 17.8k
Isabelle Guyon 4125 2784 2556 81 10.6k

All Works

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2026