Frederik Janssen

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it; #10,139 of 35,345 by trust here, #21,316 by citations
• Safety, Robustness & Interpretability — 7 citations into it; #679 of 2,251 by trust here, #1,780 by citations

Whom Frederik Janssen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Hiroshi Tsukimoto
2. Mark W. Craven
3. Gethsiyal Augasta M

Who trusts Frederik Janssen overall

1. Leilani H. Gilpin
2. Gesina Schwalbe
3. Mark T. Keane
4. Nadia Burkart
5. Vaishak Belle

Papers from Frederik Janssen's perspective

Ordered by how strongly the researchers Frederik Janssen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Survey and critique of techniques for extracting rules from trained artificial neural networks
2. Using Sampling and Queries to Extract Rules from Trained Neural Networks
3. Extracting Tree-Structured Representations of Trained Networks
4. Gradient-based learning applied to document recognition
5. Reverse Engineering the Neural Networks for Rule Extraction in Classification Problems
6. KDRuleEx: A Novel Approach for Enhancing User Comprehensibility Using Rule Extraction
7. ANN-DT: an algorithm for extraction of decision trees from artificial neural networks
8. Rule extraction from neural networks via decision tree induction
9. Extracting rules from trained neural networks
10. Are artificial neural networks black boxes?

Their papers

• DeepRED - Rule Extraction from Deep Neural Networks (2016) — 236 citations