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Marco Loog

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Papers (32)

  1. An introduction to domain adaptation and transfer learning cs.LG · 2018 · author #2
  2. Distance Based Source Domain Selection for Sentiment Classification cs.IR · 2018 · author #2
  3. Semi-Generative Modelling: Covariate-Shift Adaptation with Cause and Effect Features stat.ML · 2018 · author #3
  4. Single Shot Active Learning using Pseudo Annotators stat.ML · 2018 · author #2
  5. Effects of sampling skewness of the importance-weighted risk estimator on model selection stat.ML · 2018 · author #2
  6. Supervised Classification: Quite a Brief Overview cs.LG · 2017 · author #1
  7. MR Acquisition-Invariant Representation Learning cs.CV · 2017 · author #2
  8. Object-Extent Pooling for Weakly Supervised Single-Shot Localization cs.CV · 2017 · author #3
  9. On Measuring and Quantifying Performance: Error Rates, Surrogate Loss, and an Example in SSL cs.LG · 2017 · author #1
  10. Scale-Regularized Filter Learning cs.CV · 2017 · author #1
  11. A Variance Maximization Criterion for Active Learning stat.ML · 2017 · author #2
  12. Nuclear Discrepancy for Active Learning cs.LG · 2017 · author #3
  13. Label Stability in Multiple Instance Learning cs.CV · 2017 · author #5
  14. Classification of COPD with Multiple Instance Learning cs.CV · 2017 · author #5
  15. Active Learning Using Uncertainty Information stat.ML · 2017 · author #2
  16. The Pessimistic Limits and Possibilities of Margin-based Losses in Semi-supervised Learning stat.ML · 2016 · author #2
  17. Reproducible Pattern Recognition Research: The Case of Optimistic SSL stat.ML · 2016 · author #2
  18. A Benchmark and Comparison of Active Learning for Logistic Regression stat.ML · 2016 · author #2
  19. The Peaking Phenomenon in Semi-supervised Learning stat.ML · 2016 · author #2
  20. Optimistic Semi-supervised Least Squares Classification stat.ML · 2016 · author #2
  21. On Regularization Parameter Estimation under Covariate Shift cs.LG · 2016 · author #2
  22. Template Matching via Densities on the Roto-Translation Group cs.CV · 2016 · author #2
  23. Projected Estimators for Robust Semi-supervised Classification stat.ML · 2016 · author #2
  24. Robust Semi-supervised Least Squares Classification by Implicit Constraints stat.ML · 2015 · author #2
  25. Feature-Level Domain Adaptation stat.ML · 2015 · author #3
  26. Implicitly Constrained Semi-Supervised Least Squares Classification stat.ML · 2015 · author #2
  27. Contrastive Pessimistic Likelihood Estimation for Semi-Supervised Classification stat.ML · 2015 · author #1
  28. Implicitly Constrained Semi-Supervised Linear Discriminant Analysis stat.ML · 2014 · author #2
  29. On Classification with Bags, Groups and Sets stat.ML · 2014 · author #3
  30. Quantile Representation for Indirect Immunofluorescence Image Classification cs.CV · 2014 · author #3
  31. Dissimilarity-based Ensembles for Multiple Instance Learning stat.ML · 2014 · author #3
  32. Multiple Instance Learning with Bag Dissimilarities stat.ML · 2013 · author #3

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