| 2008 |
|---|
| 13 | EE | Petr Savický,
Marko Robnik-Sikonja:
Learning Random Numbers: a MATLAB Anomaly.
Applied Artificial Intelligence 22(3): 254-265 (2008) |
| 12 | EE | Marko Robnik-Sikonja,
Igor Kononenko:
Explaining Classifications For Individual Instances.
IEEE Trans. Knowl. Data Eng. 20(5): 589-600 (2008) |
| 2007 |
|---|
| 11 | EE | Marko Robnik-Sikonja,
Koen Vanhoof:
Evaluation of ordinal attributes at value level.
Data Min. Knowl. Discov. 14(2): 225-243 (2007) |
| 2004 |
|---|
| 10 | EE | Marko Robnik-Sikonja:
Improving Random Forests.
ECML 2004: 359-370 |
| 2003 |
|---|
| 9 | EE | Marko Robnik-Sikonja:
Experiments with Cost-Sensitive Feature Evaluation.
ECML 2003: 325-336 |
| 8 | EE | Marko Robnik-Sikonja,
David Cukjati,
Igor Kononenko:
Comprehensible evaluation of prognostic factors and prediction of wound healing.
Artificial Intelligence in Medicine 29(1-2): 25-38 (2003) |
| 7 | EE | Marko Robnik-Sikonja,
Igor Kononenko:
Theoretical and Empirical Analysis of ReliefF and RReliefF.
Machine Learning 53(1-2): 23-69 (2003) |
| 2001 |
|---|
| 6 | EE | Marko Robnik-Sikonja,
David Cukjati,
Igor Kononenko:
Evaluation of Prognostic Factors and Prediction of Chronic Wound Healing Rate by Machine Learning Tools.
AIME 2001: 77-87 |
| 5 | | Marko Robnik-Sikonja,
Igor Kononenko:
Comprehensible Interpretation of Relief's Estimates.
ICML 2001: 433-440 |
| 1999 |
|---|
| 4 | | Marko Robnik-Sikonja,
Igor Kononenko:
Attribute Dependencies, Understandability and Split Selection in Tree Based Models.
ICML 1999: 344-353 |
| 1998 |
|---|
| 3 | | Marko Robnik-Sikonja,
Igor Kononenko:
Pruning Regression Trees with MDL.
ECAI 1998: 455-459 |
| 1997 |
|---|
| 2 | | Marko Robnik-Sikonja,
Igor Kononenko:
An adaptation of Relief for attribute estimation in regression.
ICML 1997: 296-304 |
| 1 | | Igor Kononenko,
Edvard Simec,
Marko Robnik-Sikonja:
Overcoming the Myopia of Inductive Learning Algorithms with RELIEFF.
Appl. Intell. 7(1): 39-55 (1997) |
