2008 |
26 | EE | Kari Torkkola,
Mike Gardner,
Christopher Schreiner,
Keshu Zhang,
Bob Leivian,
Harry Zhang,
John Summers:
Understanding Driving Activity Using Ensemble Methods.
Computational Intelligence in Automotive Applications 2008: 39-58 |
25 | EE | Kari Torkkola,
Eugene Tuv:
Ensembles of Least Squares Classifiers with Randomized Kernels.
Data Mining: Foundations and Practice 2008: 375-386 |
2007 |
24 | EE | Keshu Zhang,
Haifeng Li,
Kari Torkkola,
Mike Gardner:
Adaptive learning of semantic locations and routes.
Autonomics 2007: 3 |
23 | EE | Keshu Zhang,
Kari Torkkola,
Haifeng Li,
Christopher Schreiner,
Harry Zhang,
Robert Mike Gardner,
Zheng Zhao:
A Context Aware Automatic Traffic Notification System for Cell Phones.
ICDCS Workshops 2007: 48 |
22 | EE | Keshu Zhang,
Haifeng Li,
Kari Torkkola,
Mike Gardner:
Adaptive Learning of Semantic Locations and Routes.
LoCA 2007: 193-210 |
21 | EE | Harry Zhang,
Christopher Schreiner,
Keshu Zhang,
Kari Torkkola:
Naturalistic use of cell phones in driving and context-based user assistance.
Mobile HCI 2007: 273-276 |
2006 |
20 | EE | Eugene Tuv,
Alexander Borisov,
Kari Torkkola:
Best Subset Feature Selection for Massive Mixed-Type Problems.
IDEAL 2006: 1048-1056 |
19 | EE | Eugene Tuv,
Alexander Borisov,
Kari Torkkola:
Feature Selection Using Ensemble Based Ranking Against Artificial Contrasts.
IJCNN 2006: 2181-2186 |
18 | EE | Kari Torkkola,
Mike Gardner,
Christopher Schreiner,
Keshu Zhang,
Bob Leivian,
John Summers:
Sensor Selection for Driving State Recognition.
IJCNN 2006: 4734-4739 |
17 | EE | Kenneth E. Hild II,
Deniz Erdogmus,
Kari Torkkola,
Jose C. Principe:
Feature Extraction Using Information-Theoretic Learning.
IEEE Trans. Pattern Anal. Mach. Intell. 28(9): 1385-1392 (2006) |
2005 |
16 | EE | Kari Torkkola,
Eugene Tuv:
Ensemble Learning with Supervised Kernels.
ECML 2005: 400-411 |
15 | | Kari Torkkola,
Srihari Venkatesan,
Huan Liu:
Sensor Sequence Modeling for Driving.
FLAIRS Conference 2005: 721-727 |
14 | 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 |
13 | EE | Kari Torkkola:
Discriminative features for text document classification.
Pattern Anal. Appl. 6(4): 301-308 (2004) |
2003 |
12 | | Chung Hee Hwang,
Noel Massey,
Bradford W. Miller,
Kari Torkkola:
Hybrid Intelligence for Driver Assistance.
FLAIRS Conference 2003: 281-285 |
11 | | Kari Torkkola,
Noel Massey,
Bob Leivian,
Chip Wood,
John Summers,
Snehal Kundalkar:
Classification of Critical Driving Events.
ICMLA 2003: 81-85 |
10 | | Huan Liu,
Amit Mandvikar,
Patricia G. Foschi,
Kari Torkkola:
Active Learning with Ensembles for Image Classification.
IJCAI 2003: 1435-1436 |
9 | EE | Kari Torkkola:
Feature Extraction by Non-Parametric Mutual Information Maximization.
Journal of Machine Learning Research 3: 1415-1438 (2003) |
2002 |
8 | | William M. Campbell,
Kari Torkkola:
Machine Learning for Advising a Driver: A Survey.
ICMLA 2002: 219-225 |
7 | EE | Kari Torkkola:
Discriminative Features for Document Classification.
ICPR (1) 2002: 472-475 |
6 | EE | Kari Torkkola:
Learning Feature Transforms Is an Easier Problem Than Feature Selection.
ICPR (2) 2002: 104-107 |
2001 |
5 | EE | Kari Torkkola:
Learning Discriminative Feature Transforms to Low Dimensions in Low Dimentions.
NIPS 2001: 969-976 |
4 | | Kari Torkkola,
Robert Mike Gardner,
Tamma Kaysser-Kranich,
Calvin Ma:
Self-organizing maps in mining gene expression data.
Inf. Sci. 139(1-2): 79-96 (2001) |
2000 |
3 | | Kari Torkkola,
William M. Campbell:
Mutual Information in Learning Feature Transformations.
ICML 2000: 1015-1022 |
2 | | William M. Campbell,
Kari Torkkola,
Sreeream V. Balakrishnan:
Dimension Reduction Techniques for Training Polynomial Networks.
ICML 2000: 119-126 |
1997 |
1 | | Kari Torkkola:
Blind Separation of Radio Signals in Fading Channels.
NIPS 1997 |