2008 |
13 | 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 |
2007 |
12 | EE | Keshu Zhang,
Haifeng Li,
Kari Torkkola,
Mike Gardner:
Adaptive learning of semantic locations and routes.
Autonomics 2007: 3 |
11 | 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 |
10 | EE | Keshu Zhang,
Haifeng Li,
Kari Torkkola,
Mike Gardner:
Adaptive Learning of Semantic Locations and Routes.
LoCA 2007: 193-210 |
9 | 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 |
8 | EE | Kari Torkkola,
Mike Gardner,
Christopher Schreiner,
Keshu Zhang,
Bob Leivian,
John Summers:
Sensor Selection for Driving State Recognition.
IJCNN 2006: 4734-4739 |
7 | EE | Haifeng Li,
Tao Jiang,
Keshu Zhang:
Efficient and robust feature extraction by maximum margin criterion.
IEEE Transactions on Neural Networks 17(1): 157-165 (2006) |
6 | EE | Haifeng Li,
Xin Chen,
Keshu Zhang,
Tao Jiang:
A General Framework for Biclustering Gene Expression Data.
J. Bioinformatics and Computational Biology 4(4): 911-993 (2006) |
2005 |
5 | | Haifeng Li,
Keshu Zhang,
Tao Jiang:
The Regularized EM Algorithm.
AAAI 2005: 807-812 |
4 | EE | Haifeng Li,
Keshu Zhang,
Tao Jiang:
Robust and Accurate Cancer Classification with Gene Expression Profiling.
CSB 2005: 310-321 |
3 | EE | Keshu Zhang,
X. Rong Li,
Yunmin Zhu:
Optimal update with out-of-sequence measurements.
IEEE Transactions on Signal Processing 53(6): 1992-2004 (2005) |
2004 |
2 | EE | Haifeng Li,
Keshu Zhang,
Tao Jiang:
Minimum Entropy Clustering and Applications to Gene Expression Analysis.
CSB 2004: 142-151 |
2003 |
1 | EE | Haifeng Li,
Tao Jiang,
Keshu Zhang:
Efficient and Robust Feature Extraction by Maximum Margin Criterion.
NIPS 2003 |