A soft computing-based approach for integrated training and rule extraction from artificial neural networks: DIFACONN-miner

By Lale Özbakır, Adil Baykasoglu, Sinem Kulluk. 2010

54 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Vaishak Belle
2. Ioannis Papantonis
3. Timo Speith
4. Hector J. Levesque
5. Christian Walter Peter Omlin
6. Waddah Saeed
7. Longo Luca
8. Giulia Vilone

In Information Systems

1. Vaishak Belle
2. Ioannis Papantonis

Citations in the corpus

• Rule Extraction Algorithm for Deep Neural Networks: A Review (2016, neutral): “Özbakır, Baykasoğlu, and Kulluk [16] have introduced an algorithm called DIFACON-miner that can generate an IF-THEN rule from artificial neural network.”
• Principles and Practice of Explainable Machine Learning (2020, methodology): “[63] propose a method for producing if-else rules from NNs, where model training and rule generation happen at the same time.”