Johan Huysmans
Artificial Intelligence · 2008–2011
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 16 citations into it; #19,371 of 35,345 by trust here, #10,430 by citations
- Statistical Learning Theory — 8 citations into it
- Algorithms & Complexity — 5 citations into it
- Information Systems — 5 citations into it; #4,972 of 8,771 by trust here, #1,740 by citations
- Safety, Robustness & Interpretability — 5 citations into it; #1,481 of 2,251 by trust here, #1,009 by citations
Whom Johan Huysmans trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Ross Quinlan
- Joachim Diederich
- Mark W. Craven
- Teuvo Kohonen
- Leo Breiman
- Bernard Walter Silverman
- Arie Ben-David
- Joseph Sill
- Ad Feelders
- Ismail Abdel Hamid Taha
Who trusts Johan Huysmans overall
- Cynthia Rudin
- Alex Alves Freitas
- Been Kim
- Nadia Burkart
- Kamal K. Sethi
- Isaac Lage
- Salvatore Ruggieri
- Riccardo Guidotti
- Giulia Vilone
- Or Biran
Papers from Johan Huysmans's perspective
Ordered by how strongly the researchers Johan Huysmans trusts endorse each paper. Same corpus, a different order for every researcher.
- The Nature of Statistical Learning Theory
- Density Estimation for Statistics and Data Analysis
- Monotonicity maintenance in information-theoretic machine learning algorithms
- Classification and regression trees
- Sparse Bayesian Learning and the Relevan e Ve tor Ma hine
- An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods
- Monotonic Networks
- Rule Extraction from Support Vector Machines
- Induction of decision trees
- Extracting comprehensible models from trained neural networks