Dragan Gamberger
Artificial Intelligence · 2007–2012
A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it
- Information Systems — 13 citations into it
- Computational Theory and Mathematics — 7 citations into it
- Algorithms & Complexity — 5 citations into it
- Statistical Learning Theory — 5 citations into it
- Signal Processing — 5 citations into it
Whom Dragan Gamberger trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Dragan Gamberger's perspective
Ordered by how strongly the researchers Dragan Gamberger trusts endorse each paper. Same corpus, a different order for every researcher.
- Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods
- Probabilistic reasoning in intelligent systems: Networks of plausible inference
- Subgroup Discovery with CN2-SD
- Induction of decision trees
- Detecting Group Differences: Mining Contrast Sets (Data mining and knowledge discovery)
- Orange: From Experimental Machine Learning to Interactive Data Mining (European Conference on Principles of Data Mining and Knowledge Discovery)
- Generating Production Rules from Decision Trees
- Modeling By Shortest Data Description*
- Multiclass cancer diagnosis using tumor gene expression signatures (Proceedings of the National Academy of Sciences of the United States of America)
- Original Contribution: Stacked generalization
Their papers
- Contrast Set Mining for Distinguishing Between Similar Diseases (2007) — 38 citations
- Foundations of Rule Learning (2012) — 373 citations