Lale Özbakır
Artificial Intelligence · 2008–2012
A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 17 citations into it; #19,482 of 35,345 by trust here, #18,186 by citations
Whom Lale Özbakır trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Eduardo R. Hruschka
- Urszula Markowska-Kaczmar
- Humar Kahramanli
- Guoqing Chen
- Nelson Francisco Favilla Ebecken
- Novruz M. Allahverdi
- Pawel Wnuk-Lipinski
- J. Ross Quinlan
- Hongyan Liu
- Emad W. Saad
Who trusts Lale Özbakır overall
Papers from Lale Özbakır's perspective
Ordered by how strongly the researchers Lale Özbakır trusts endorse each paper. Same corpus, a different order for every researcher.
- Neural network explanation using inversion
- Extracting rules from multilayer perceptrons in classification problems: A clustering-based approach
- Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
- Rule extraction from trained adaptive neural networks using artificial immune systems
- A new approach to classification based on association rule mining
- Rule Extraction from Neural Network by Genetic Algorithm with Pareto Optimization
- Differential Evolution Training Algorithm for Feed-Forward Neural Networks (Neural Processing Letters)
- Extracting refined rules from knowledge-based neural networks
- Effective Data Mining Using Neural Networks
- Symbolic Interpretation of Artificial Neural Networks
Their papers
- Mixed integer goal programming models for the flexible job-shop scheduling problems with separable and non-separable sequence dependent setup times (2012) — 69 citations
- A soft computing-based approach for integrated training and rule extraction from artificial neural networks: DIFACONN-miner (2010) — 54 citations
- Mathematical models for job-shop scheduling problems with routing and process plan flexibility (2010) — 339 citations
- Prediction of compressive and tensile strength of limestone via genetic programming (2008) — 338 citations