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Publications of Author

1. Ulf Johansson, Rikard König, Lars Niklasson
   The Truth is In There - Rule Extraction from Opaque Models Using Genetic Programming. [Citation Graph (0, 0)][DBLP]
   FLAIRS Conference, 2004, pp:- [Conf]
   
2. Ulf Johansson, Tuve Löfström, Rikard König, Lars Niklasson
   Introducing GEMS - A Novel Technique for Ensemble Creation. [Citation Graph (0, 0)][DBLP]
   FLAIRS Conference, 2006, pp:700-705 [Conf]
   
3. Ulf Johansson, Tuve Löfström, Rikard König, Lars Niklasson
   Genetically Evolved Trees Representing Ensembles. [Citation Graph (0, 0)][DBLP]
   ICAISC, 2006, pp:613-622 [Conf]
   
4. Tuve Löfström, Ulf Johansson, Lars Niklasson
   Rule Extraction by Seeing Through the Model. [Citation Graph (0, 0)][DBLP]
   ICONIP, 2004, pp:555-560 [Conf]
   
5. Ulf Johansson, Tuve Löfström, Lars Niklasson
   Obtaining Accurate Neural Network Ensembles. [Citation Graph (0, 0)][DBLP]
   CIMCA/IAWTIC, 2005, pp:103-108 [Conf]
   
6. Ulf Johansson, Cecilia Sönströd, Lars Niklasson
   Why rule extraction matters. [Citation Graph (0, 0)][DBLP]
   IASTED Conf. on Software Engineering and Applications, 2004, pp:47-52 [Conf]
   
7. 
   Towards a Unified View on Concept Description. [Citation Graph (, )][DBLP]
   
   
8. 
   Instance Ranking using Ensemble Spread. [Citation Graph (, )][DBLP]
   
   
9. 
   Fish or Shark - Data Mining Online Poker. [Citation Graph (, )][DBLP]
   
   
10. 
    Evaluating Algorithms for Concept Description. [Citation Graph (, )][DBLP]
    
    
11. 
    Genetic Decision Lists for Concept Description. [Citation Graph (, )][DBLP]
    
    
12. 
    Evolving a Locally Optimized Instance Based Learner. [Citation Graph (, )][DBLP]
    
    
13. 
    Using Imaginary Ensembles to Select GP Classifiers. [Citation Graph (, )][DBLP]
    
    
14. 
    Using Genetic Programming to Increase Rule Quality. [Citation Graph (, )][DBLP]
    
    
15. 
    Extending Nearest Neighbor Classification with Spheres of Confidence. [Citation Graph (, )][DBLP]
    
    
16. 
    Genetic rule extraction optimizing brier score. [Citation Graph (, )][DBLP]
    
    
17. 
    G-REX: A Versatile Framework for Evolutionary Data Mining. [Citation Graph (, )][DBLP]
    
    
18. 
    On the Use of Accuracy and Diversity Measures for Evaluating and Selecting Ensembles of Classifiers. [Citation Graph (, )][DBLP]
    
    
19. 
    Comprehensible Models for Predicting Molecular Interaction with Heart-Regulating Genes. [Citation Graph (, )][DBLP]
    
    
20. 
    Rule Extraction from Opaque Models-- A Slightly Different Perspective. [Citation Graph (, )][DBLP]
    
    
21. 
    Explaining Winning Poker--A Data Mining Approach. [Citation Graph (, )][DBLP]
    
    
22. 
    Oracle Coached Decision Trees and Lists. [Citation Graph (, )][DBLP]
    
    
23. 
    The Importance of Diversity in Neural Network Ensembles - An Empirical Investigation. [Citation Graph (, )][DBLP]
    
    
24. 
    Concept Description - A Fresh Look. [Citation Graph (, )][DBLP]
    
    
25. 
    Inconsistency - Friend or Foe. [Citation Graph (, )][DBLP]
    
    
26. 
    Building Neural Network Ensembles using Genetic Programming. [Citation Graph (, )][DBLP]
    
    
27. 
    The problem with ranking ensembles based on training or validation performance. [Citation Graph (, )][DBLP]
    
    
28. 
    Evaluating Standard Techniques for Implicit Diversity. [Citation Graph (, )][DBLP]
    
    
29. 
    Chipper - A Novel Algorithm for Concept Description. [Citation Graph (, )][DBLP]
    
    
30. 
    Ensemble member selection using multi-objective optimization. [Citation Graph (, )][DBLP]
    
    
31. 
    Evolving decision trees using oracle guides. [Citation Graph (, )][DBLP]
    
    
32. 
    Genetic programming - a tool for flexible rule extraction. [Citation Graph (, )][DBLP]
    
    
33. 
    Increasing rule extraction accuracy by post-processing GP trees. [Citation Graph (, )][DBLP]
    
    
34. 
    Using genetic programming to obtain implicit diversity. [Citation Graph (, )][DBLP]