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Eugene Tuv
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2010 – 2019
- 2014
- [j7]Houtao Deng, George C. Runger, Eugene Tuv, Wade Bannister:
CBC: An associative classifier with a small number of rules. Decis. Support Syst. 59: 163-170 (2014) - 2013
- [j6]Houtao Deng, George C. Runger, Eugene Tuv, Vladimir Martyanov:
A time series forest for classification and feature extraction. Inf. Sci. 239: 142-153 (2013) - [j5]Mustafa Gökçe Baydogan
, George C. Runger, Eugene Tuv:
A Bag-of-Features Framework to Classify Time Series. IEEE Trans. Pattern Anal. Mach. Intell. 35(11): 2796-2802 (2013) - [i1]Houtao Deng, George C. Runger, Eugene Tuv, Vladimir Martyanov:
A Time Series Forest for Classification and Feature Extraction. CoRR abs/1302.2277 (2013) - 2011
- [c15]Saylisse Dávila, George C. Runger, Eugene Tuv:
High-Dimensional Surveillance. ICANN (2) 2011: 245-252 - [c14]Houtao Deng, George C. Runger, Eugene Tuv:
Bias of Importance Measures for Multi-valued Attributes and Solutions. ICANN (2) 2011: 293-300 - [c13]Alexander Borisov, George C. Runger, Eugene Tuv:
Target-aware Anomaly Detection and Diagnosis. ICINCO (1) 2011: 14-23 - [c12]Éric St.-Pierre, Eugene Tuv:
Robust, Non-Redundant Feature Selection for Yield Analysis in Semiconductor Manufacturing. ICDM 2011: 204-217 - [c11]Alexander Borisov, Eugene Tuv, George C. Runger:
Active Batch Learning with Tree Ensembles. Active Learning and Experimental Design @ AISTATS 2011: 59-69 - [p5]Houtao Deng, Saylisse Dávila, George C. Runger, Eugene Tuv:
Learning Markov Blankets for Continuous or Discrete Networks via Feature Selection. Ensembles in Machine Learning Applications 2011: 117-131
2000 – 2009
- 2009
- [j4]Eugene Tuv, Alexander Borisov, George C. Runger, Kari Torkkola:
Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination. J. Mach. Learn. Res. 10: 1341-1366 (2009) - [c10]Alexander Borisov, George C. Runger, Eugene Tuv:
Contributor Diagnostics for Anomaly Detection. ICANN (2) 2009: 944-953 - [c9]Alexander Borisov, George C. Runger, Eugene Tuv, Nuttha Lurponglukana-Strand:
Zero-Inflated Boosted Ensembles for Rare Event Counts. IDA 2009: 225-236 - 2008
- [p4]Kari Torkkola, Eugene Tuv:
Ensembles of Least Squares Classifiers with Randomized Kernels. Data Mining: Foundations and Practice 2008: 375-386 - 2007
- [c8]Victor Eruhimov, Vladimir Martyanov, Eugene Tuv, George C. Runger:
Change-point detection with supervised learning and feature selection. ICINCO-ICSO 2007: 359-363 - [c7]Victor Eruhimov, Vladimir Martyanov, Eugene Tuv:
Constructing High Dimensional Feature Space for Time Series Classification. PKDD 2007: 414-421 - 2006
- [c6]Victor Eruhimov, Vladimir Martyanov, Peter Raulefs, Eugene Tuv:
Supervised compression of multivariate time series data. EUSIPCO 2006: 1-5 - [c5]Victor Eruhimov, Vladimir Martyanov, Peter Raulefs, Eugene Tuv:
Combining Unsupervised and Supervised Approaches to Feature Selection for Multivariate Signal Compression. IDEAL 2006: 480-487 - [c4]Eugene Tuv, Alexander Borisov, Kari Torkkola:
Best Subset Feature Selection for Massive Mixed-Type Problems. IDEAL 2006: 1048-1056 - [c3]Eugene Tuv, Alexander Borisov, Kari Torkkola:
Feature Selection Using Ensemble Based Ranking Against Artificial Contrasts. IJCNN 2006: 2181-2186 - [p3]Eugene Tuv:
Ensemble Learning. Feature Extraction 2006: 187-204 - [p2]Kari Torkkola, Eugene Tuv:
Ensembles of Regularized Least Squares Classifiers for High-Dimensional Problems. Feature Extraction 2006: 297-313 - [p1]Alexander Borisov, Victor Eruhimov, Eugene Tuv:
Tree-Based Ensembles with Dynamic Soft Feature Selection. Feature Extraction 2006: 359-374 - 2005
- [j3]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 Intell. Syst. 20(6): 64-76 (2005) - [c2]Kari Torkkola, Eugene Tuv:
Ensemble Learning with Supervised Kernels. ECML 2005: 400-411 - [c1]Jing Hu, George C. Runger, Eugene Tuv:
Contributors to a signal from an artificial contrast. ICINCO 2005: 3-10 - 2004
- [j2]Eugene Tuv, George C. Runger:
Scoring Levels of Categorical Variables with Heterogeneous Data. IEEE Intell. Syst. 19(2): 14-19 (2004) - 2003
- [j1]Eugene Tuv, George C. Runger:
Pre-Processing of High-Dimensional Categorical Predictors in Classification Settings. Appl. Artif. Intell. 17(5-6): 419-429 (2003)
Coauthor Index
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