Stephen Kwek

	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		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		Amitava Karmaker, Stephen Kwek: An iterative refinement approach for data cleaning. Intell. Data Anal. 11(5): 547-560 (2007)
28		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		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		Amitava Karmaker, Stephen Kwek: A boosting approach to remove class label noise. Int. J. Hybrid Intell. Syst. 3(3): 169-177 (2006)
25		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		Rehan Akbani, Stephen Kwek: Adapting Support Vector Machines to Predict Translation Initiation Sites the Human Genome. CSB Workshops 2005: 143-148
23		Amitava Karmaker, Stephen Kwek: A Boosting Approach to remove Class Label Noise. HIS 2005: 206-211
22		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		Rehan Akbani, Stephen Kwek, Nathalie Japkowicz: Applying Support Vector Machines to Imbalanced Datasets. ECML 2004: 39-50
	2003
20		Sally A. Goldman, Stephen Kwek, Stephen D. Scott: Learning from examples with unspecified attribute values. Inf. Comput. 180(2): 82-100 (2003)
19		Stephen Kwek, Kurt Mehlhorn: Optimal search for rationals. Inf. Process. Lett. 86(1): 23-26 (2003)
	2002
18		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		Stephen Kwek: Learning Intermediate Concepts. ALT 2001: 151-166
15		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		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		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		Sally A. Goldman, Stephen Kwek: On Learning Unions of Pattern Languages and Tree Patterns. ATL 1999: 347-363
9		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		Sally A. Goldman, Stephen Kwek, Stephen D. Scott: Learning from Examples with Unspecified Attribute Values (Extended Abstract). COLT 1997: 231-242
5		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		Stephen Kwek, Leonard Pitt: PAC Learning Intersections of Halfspaces with Membership Queries (Extended Abstract). COLT 1996: 244-254
1		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

Coauthor Index

1	Rehan Akbani	[21] [24]
2	Peter Auer	[1] [11]
3	Mark Doderer	[28] [31] [32]
4	Daniel R. Dooly	[15] [25]
5	Paul W. Goldberg	[12]
6	Sally A. Goldman	[5] [6] [10] [14] [15] [17] [20] [25]
7	Stephen Harris	[31] [33]
8	David P. Helmbold	[4]
9	Nathalie Japkowicz	[21]
10	Amitava Karmaker	[23] [26] [28] [29] [30] [31] [33] [34]
11	Russell Kruzelock	[28]
12	Wolfgang Maass	[1] [11]
13	Kurt Mehlhorn	[19]
14	Chau Nguyen	[18] [30]
15	Leonard Pitt	[2] [4] [8]
16	Stephen D. Scott	[5] [6] [14] [20]
17	Manfred K. Warmuth	[1] [11]
18	Kihoon Yoon	[22] [27] [28] [30] [32]

Colors in the list of coauthors