2007 |
34 | | Amitava Karmaker,
Stephen Kwek:
An Approach for Analyzing DNA Copy Number Aberrations in Genome Using aCGH Profiles.
BIOCOMP 2007: 214-217 |
33 | | Amitava Karmaker,
Stephen Harris,
Stephen Kwek:
Identification of cis-Regulatory Elements from Cross-Genome Comparison and Gene Expression Profile Analysis.
BIOCOMP 2007: 31-36 |
32 | | Mark Doderer,
Kihoon Yoon,
Stephen Kwek:
Species Independent Protein Localization Prediction for Multi-compartmentalized Proteins.
MLMTA 2007: 259-266 |
31 | | Amitava Karmaker,
Mark Doderer,
Stephen Harris,
Stephen Kwek:
Discovery of Transcription Factors Using Protein Subcellular Localization Prediction and Gene Expression Profile Analysis.
MLMTA 2007: 65-71 |
30 | EE | Amitava Karmaker,
Kihoon Yoon,
Chau Nguyen,
Stephen Kwek:
iBoost: Boosting using an instance-based exponential weighting scheme.
Int. J. Hybrid Intell. Syst. 4(4): 243-254 (2007) |
29 | EE | Amitava Karmaker,
Stephen Kwek:
An iterative refinement approach for data cleaning.
Intell. Data Anal. 11(5): 547-560 (2007) |
28 | EE | Amitava Karmaker,
Kihoon Yoon,
Mark Doderer,
Russell Kruzelock,
Stephen Kwek:
Identifying Transcription Regulatory Elements in the Human and Mouse Genomes Using Tissue-specific Gene Expression Profiles.
J. Integrative Bioinformatics 4(2): (2007) |
27 | EE | Kihoon Yoon,
Stephen Kwek:
A data reduction approach for resolving the imbalanced data issue in functional genomics.
Neural Computing and Applications 16(3): 295-306 (2007) |
2006 |
26 | EE | Amitava Karmaker,
Stephen Kwek:
A boosting approach to remove class label noise.
Int. J. Hybrid Intell. Syst. 3(3): 169-177 (2006) |
25 | EE | Daniel R. Dooly,
Sally A. Goldman,
Stephen Kwek:
Real-valued multiple-instance learning with queries.
J. Comput. Syst. Sci. 72(1): 1-15 (2006) |
2005 |
24 | EE | Rehan Akbani,
Stephen Kwek:
Adapting Support Vector Machines to Predict Translation Initiation Sites the Human Genome.
CSB Workshops 2005: 143-148 |
23 | EE | Amitava Karmaker,
Stephen Kwek:
A Boosting Approach to remove Class Label Noise.
HIS 2005: 206-211 |
22 | EE | Kihoon Yoon,
Stephen Kwek:
An Unsupervised Learning Approach to Resolving the Data Imbalanced Issue in Supervised Learning Problems in Functional Genomics.
HIS 2005: 303-308 |
2004 |
21 | EE | Rehan Akbani,
Stephen Kwek,
Nathalie Japkowicz:
Applying Support Vector Machines to Imbalanced Datasets.
ECML 2004: 39-50 |
2003 |
20 | EE | Sally A. Goldman,
Stephen Kwek,
Stephen D. Scott:
Learning from examples with unspecified attribute values.
Inf. Comput. 180(2): 82-100 (2003) |
19 | EE | Stephen Kwek,
Kurt Mehlhorn:
Optimal search for rationals.
Inf. Process. Lett. 86(1): 23-26 (2003) |
2002 |
18 | EE | Stephen Kwek,
Chau Nguyen:
iBoost: Boosting Using an i nstance-Based Exponential Weighting Scheme.
ECML 2002: 245-257 |
17 | | Sally A. Goldman,
Stephen Kwek:
On learning unions of pattern languages and tree patterns in the mistake bound model.
Theor. Comput. Sci. 288(2): 237-254 (2002) |
2001 |
16 | EE | Stephen Kwek:
Learning Intermediate Concepts.
ALT 2001: 151-166 |
15 | EE | Daniel R. Dooly,
Sally A. Goldman,
Stephen Kwek:
Real-Valued Multiple-Instance Learning with Queries.
ALT 2001: 167-180 |
14 | | Sally A. Goldman,
Stephen Kwek,
Stephen D. Scott:
Agnostic Learning of Geometric Patterns.
J. Comput. Syst. Sci. 62(1): 123-151 (2001) |
2000 |
13 | EE | Stephen Kwek:
An Efficient Algorithm for Learning Upper Convex Polyhedra Using Membership Queries.
AMAI 2000 |
12 | | Paul W. Goldberg,
Stephen Kwek:
The Precision of Query Points as a Resource for Learning Convex Polytopes with Membership Queries.
COLT 2000: 225-235 |
11 | EE | Peter Auer,
Stephen Kwek,
Wolfgang Maass,
Manfred K. Warmuth:
Learning of Depth Two Neural Networks with Constant Fan-in at the Hidden Nodes
Electronic Colloquium on Computational Complexity (ECCC) 7(55): (2000) |
1999 |
10 | EE | Sally A. Goldman,
Stephen Kwek:
On Learning Unions of Pattern Languages and Tree Patterns.
ATL 1999: 347-363 |
9 | EE | Stephen Kwek:
An Apprentice Learning Model (extended abstract).
COLT 1999: 63-74 |
1998 |
8 | | Stephen Kwek,
Leonard Pitt:
PAC Learning Intersections of Halfspaces with Membership Queries.
Algorithmica 22(1/2): 53-75 (1998) |
1997 |
7 | | Stephen Kwek:
Learning Disjunctions of Features.
ALT 1997: 401-415 |
6 | EE | Sally A. Goldman,
Stephen Kwek,
Stephen D. Scott:
Learning from Examples with Unspecified Attribute Values (Extended Abstract).
COLT 1997: 231-242 |
5 | EE | Sally A. Goldman,
Stephen Kwek,
Stephen D. Scott:
Agnostic Learning of Geometric Patterns (Extended Abstract).
COLT 1997: 325-333 |
4 | | David P. Helmbold,
Stephen Kwek,
Leonard Pitt:
Learning When to Trust Which Experts.
EuroCOLT 1997: 134-149 |
3 | | Stephen Kwek:
On a Simple Depth-First Search Strategy for Exploring Unknown Graphs.
WADS 1997: 345-353 |
1996 |
2 | EE | Stephen Kwek,
Leonard Pitt:
PAC Learning Intersections of Halfspaces with Membership Queries (Extended Abstract).
COLT 1996: 244-254 |
1 | EE | Peter Auer,
Stephen Kwek,
Wolfgang Maass,
Manfred K. Warmuth:
Learning of Depth Two Neural Networks with Constant Fan-In at the Hidden Nodes (Extended Abstract).
COLT 1996: 333-343 |