Jan Vanthienen
Artificial Intelligence · 2003–2017
A researcher in the Science corpus: 10 papers; trusts 20 researchers and is trusted by 42 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 39 citations into it; #4,643 of 35,345 by trust here, #4,137 by citations
- Statistical Learning Theory — 22 citations into it
- Information Systems — 13 citations into it; #2,704 of 8,771 by trust here, #837 by citations
- Algorithms & Complexity — 11 citations into it
- Control and Systems Engineering — 10 citations into it
- Computational Theory and Mathematics — 9 citations into it; #10,710 of 12,182 by trust here, #6,463 by citations
- Health Information Management — 7 citations into it; #13 of 344 by trust here, #41 by citations
- Accounting — 6 citations into it; #1,016 of 8,970 by trust here, #1,109 by citations
Whom Jan Vanthienen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Ross Quinlan
- Vladimir Naumovich Vapni
- Johan A. K. Suykens
- Bernard Walter Silverman
- Leo Breiman
- Thomas G. Dietterich
- Tony Van Gestel
- Joachim Diederich
- Bart Baesens
- Mark W. Craven
Who trusts Jan Vanthienen overall
- Emilio Carrizosa
- David Martens
- Cynthia Rudin
- Nadia Burkart
- Bart Baesens
- Dolores Romero Morales
- Alex Alves Freitas
- Giulia Vilone
- Wouter Verbeke
- Marco F. Huber
Papers from Jan Vanthienen's perspective
Ordered by how strongly the researchers Jan Vanthienen trusts endorse each paper. Same corpus, a different order for every researcher.
- Neural Networks for Pattern Recognition
- Support-Vector Networks
- Learning with Kernels: support vector machines, regularization, optimization, and beyond
- The Nature of Statistical Learning Theory
- Statistical learning theory
- UCI Repository of machine learning databases
- ImageNet classification with deep convolutional neural networks
- C4.5: Programs for Machine Learning
- Classification and regression trees
- Fast Training of Support Vector Machines using Sequential Minimal Optimization
Their papers
- An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models (2011) — 448 citations
- Rule Extraction from Support Vector Machines: An Overview of Issues and Application in Credit Scoring (2008) — 99 citations
- Lecture Notes in Business Information Processing (2017) — 402 citations
- On the Move to Meaningful Internet Systems (2014) — 358 citations
- Process Mining Manifesto (2011) — 1,416 citations
- Performance of classification models from a user perspective (2011) — 131 citations
- Classification With Ant Colony Optimization (2007) — 478 citations
- Comprehensible credit scoring models using rule extraction from support vector machines (2007) — 475 citations
- Benchmarking Least Squares Support Vector Machine Classifiers (2004) — 535 citations
- Using Neural Network Rule Extraction and Decision Tables for Credit - Risk Evaluation (2003) — 556 citations