Eugene Tuv

According to our database, Eugene Tuv authored at least 27 papers between 2003 and 2014.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2014

CBC: An associative classifier with a small number of rules.

Houtao Deng, George C. Runger, Eugene Tuv, Wade Bannister

Decis. Support Syst., 2014

2013

A Bag-of-Features Framework to Classify Time Series.

Mustafa Gökçe Baydogan, George C. Runger, Eugene Tuv

IEEE Trans. Pattern Anal. Mach. Intell., 2013

A time series forest for classification and feature extraction.

Houtao Deng, George C. Runger, Eugene Tuv, Vladimir Martyanov

Inf. Sci., 2013

2011

Learning Markov Blankets for Continuous or Discrete Networks via Feature Selection.

Houtao Deng, Saylisse Dávila, George C. Runger, Eugene Tuv

Proceedings of the Ensembles in Machine Learning Applications, 2011

Active Batch Learning with Tree Ensembles.

Alexander Borisov, Eugene Tuv, George C. Runger

Proceedings of the Active Learning and Experimental Design workshop, 2011

Robust, Non-Redundant Feature Selection for Yield Analysis in Semiconductor Manufacturing.

Éric St.-Pierre, Eugene Tuv

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2011

Target-aware Anomaly Detection and Diagnosis.

Alexander Borisov, George C. Runger, Eugene Tuv

Proceedings of the ICINCO 2011 - Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics, Volume 1, Noordwijkerhout, The Netherlands, 28, 2011

Bias of Importance Measures for Multi-valued Attributes and Solutions.

Houtao Deng, George C. Runger, Eugene Tuv

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

High-Dimensional Surveillance.

Saylisse Dávila, George C. Runger, Eugene Tuv

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2009

Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination.

Eugene Tuv, Alexander Borisov, George C. Runger, Kari Torkkola

J. Mach. Learn. Res., 2009

Zero-Inflated Boosted Ensembles for Rare Event Counts.

Alexander Borisov, George C. Runger, Eugene Tuv, Nuttha Lurponglukana-Strand

Proceedings of the Advances in Intelligent Data Analysis VIII, 2009

Contributor Diagnostics for Anomaly Detection.

Alexander Borisov, George C. Runger, Eugene Tuv

Proceedings of the Artificial Neural Networks, 2009

2008

Ensembles of Least Squares Classifiers with Randomized Kernels.

Kari Torkkola, Eugene Tuv

Proceedings of the Data Mining: Foundations and Practice, 2008

2007

Constructing High Dimensional Feature Space for Time Series Classification.

Victor Eruhimov, Vladimir Martyanov, Eugene Tuv

Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Change-point detection with supervised learning and feature selection.

Victor Eruhimov, Vladimir Martyanov, Eugene Tuv, George C. Runger

Proceedings of the ICINCO 2007, 2007

2006

Feature Selection Using Ensemble Based Ranking Against Artificial Contrasts.

Eugene Tuv, Alexander Borisov, Kari Torkkola

Proceedings of the International Joint Conference on Neural Networks, 2006

Best Subset Feature Selection for Massive Mixed-Type Problems.

Eugene Tuv, Alexander Borisov, Kari Torkkola

Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Combining Unsupervised and Supervised Approaches to Feature Selection for Multivariate Signal Compression.

Victor Eruhimov, Vladimir Martyanov, Peter Raulefs, Eugene Tuv

Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Supervised compression of multivariate time series data.

Victor Eruhimov, Vladimir Martyanov, Peter Raulefs, Eugene Tuv

Proceedings of the 14th European Signal Processing Conference, 2006

Ensemble Learning.

Eugene Tuv

Proceedings of the Feature Extraction - Foundations and Applications, 2006

Ensembles of Regularized Least Squares Classifiers for High-Dimensional Problems.

Kari Torkkola, Eugene Tuv

Proceedings of the Feature Extraction - Foundations and Applications, 2006

Tree-Based Ensembles with Dynamic Soft Feature Selection.

Alexander Borisov, Victor Eruhimov, Eugene Tuv

Proceedings of the Feature Extraction - Foundations and Applications, 2006

2005

Evolving Feature Selection.

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

IEEE Intell. Syst., 2005

Contributors to a signal from an artificial contrast.

Jing Hu, George C. Runger, Eugene Tuv

Proceedings of the ICINCO 2005, 2005

Ensemble Learning with Supervised Kernels.

Kari Torkkola, Eugene Tuv

Proceedings of the Machine Learning: ECML 2005, 2005

2004

Scoring Levels of Categorical Variables with Heterogeneous Data.

Eugene Tuv, George C. Runger

IEEE Intell. Syst., 2004

2003

Pre-Processing of High-Dimensional Categorical Predictors in Classification Settings.

Eugene Tuv, George C. Runger

Appl. Artif. Intell., 2003