| 2008 |
|---|
| 11 | EE | Kari Torkkola,
Eugene Tuv:
Ensembles of Least Squares Classifiers with Randomized Kernels.
Data Mining: Foundations and Practice 2008: 375-386 |
| 2007 |
|---|
| 10 | | Victor Eruhimov,
Vladimir Martyanov,
Eugene Tuv,
George C. Runger:
Change-point detection with supervised learning and feature selection.
ICINCO-ICSO 2007: 359-363 |
| 9 | EE | Victor Eruhimov,
Vladimir Martyanov,
Eugene Tuv:
Constructing High Dimensional Feature Space for Time Series Classification.
PKDD 2007: 414-421 |
| 2006 |
|---|
| 8 | EE | Eugene Tuv,
Alexander Borisov,
Kari Torkkola:
Best Subset Feature Selection for Massive Mixed-Type Problems.
IDEAL 2006: 1048-1056 |
| 7 | EE | Victor Eruhimov,
Vladimir Martyanov,
Peter Raulefs,
Eugene Tuv:
Combining Unsupervised and Supervised Approaches to Feature Selection for Multivariate Signal Compression.
IDEAL 2006: 480-487 |
| 6 | EE | Eugene Tuv,
Alexander Borisov,
Kari Torkkola:
Feature Selection Using Ensemble Based Ranking Against Artificial Contrasts.
IJCNN 2006: 2181-2186 |
| 2005 |
|---|
| 5 | EE | Kari Torkkola,
Eugene Tuv:
Ensemble Learning with Supervised Kernels.
ECML 2005: 400-411 |
| 4 | | Jing Hu,
George C. Runger,
Eugene Tuv:
Contributors to a signal from an artificial contrast.
ICINCO 2005: 3-10 |
| 3 | EE | Huan Liu,
Edward R. Dougherty,
Jennifer G. Dy,
Kari Torkkola,
Eugene Tuv,
Hanchuan Peng,
Chris H. Q. Ding,
Fuhui Long,
Michael E. Berens,
Lance Parsons,
Zheng Zhao,
Lei Yu,
George Forman:
Evolving Feature Selection.
IEEE Intelligent Systems 20(6): 64-76 (2005) |
| 2004 |
|---|
| 2 | EE | Eugene Tuv,
George C. Runger:
Scoring Levels of Categorical Variables with Heterogeneous Data.
IEEE Intelligent Systems 19(2): 14-19 (2004) |
| 2003 |
|---|
| 1 | EE | Eugene Tuv,
George C. Runger:
Pre-Processing of High-Dimensional Categorical Predictors in Classification Settings.
Applied Artificial Intelligence 17(5-6): 419-429 (2003) |
