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2000 – 2009
- 2007
[j13]Amitava Karmaker, Stephen Kwek:
An iterative refinement approach for data cleaning. Intell. Data Anal. 11(5): 547-560 (2007)- [j12]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) - [j11]Amitava Karmaker, Stephen Kwek:
CGHsweep: An Algorithm for Analyzing Chromosomal Aberrations in Genome Using aCGH Profiles. Silico Biol. 7(6): 639-649 (2007) - [j10]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. Integr. Bioinform. 4(2) (2007) - [j9]Kihoon Yoon, Stephen Kwek:
A data reduction approach for resolving the imbalanced data issue in functional genomics. Neural Comput. Appl. 16(3): 295-306 (2007) - [c23]Amitava Karmaker, Stephen Harris, Stephen Kwek:
Identification of cis-Regulatory Elements from Cross-Genome Comparison and Gene Expression Profile Analysis. BIOCOMP 2007: 31-36 - [c22]Amitava Karmaker, Stephen Kwek:
An Approach for Analyzing DNA Copy Number Aberrations in Genome Using aCGH Profiles. BIOCOMP 2007: 214-217 - [c21]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 - [c20]Mark Doderer, Kihoon Yoon, Stephen Kwek:
Species Independent Protein Localization Prediction for Multi-compartmentalized Proteins. MLMTA 2007: 259-266 - 2006
- [j8]Amitava Karmaker, Stephen Kwek:
A boosting approach to remove class label noise. Int. J. Hybrid Intell. Syst. 3(3): 169-177 (2006) - [j7]Mark Doderer, Kihoon Yoon, John Salinas, Stephen Kwek:
Protein Subcellular Localization Prediction Using a Hybrid of Similarity Search and Error-Correcting Output Code Techniques That Produces Interpretable Results. Silico Biol. 6(5): 419-433 (2006) - [j6]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
- [c19]Rehan Akbani, Stephen Kwek:
Adapting Support Vector Machines to Predict Translation Initiation Sites the Human Genome. CSB Workshops 2005: 143-148 - [c18]Amitava Karmaker, Stephen Kwek:
A Boosting Approach to remove Class Label Noise. HIS 2005: 206-211 - [c17]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 - [p1]Kihoon Yoon, Stephen Kwek:
A filtering Approach to splice Site Predictions in Human genes. Advances in Bioinformatics and Its Applications 2005 - 2004
- [c16]Rehan Akbani, Stephen Kwek, Nathalie Japkowicz:
Applying Support Vector Machines to Imbalanced Datasets. ECML 2004: 39-50 - 2003
- [j5]Sally A. Goldman, Stephen Kwek, Stephen D. Scott:
Learning from examples with unspecified attribute values. Inf. Comput. 180(2): 82-100 (2003) - [j4]Stephen Kwek, Kurt Mehlhorn:
Optimal search for rationals. Inf. Process. Lett. 86(1): 23-26 (2003) - 2002
- [j3]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) - [c15]Stephen Kwek, Chau Nguyen:
iBoost: Boosting Using an i nstance-Based Exponential Weighting Scheme. ECML 2002: 245-257 - 2001
- [j2]Sally A. Goldman, Stephen Kwek, Stephen D. Scott:
Agnostic Learning of Geometric Patterns. J. Comput. Syst. Sci. 62(1): 123-151 (2001) - [c14]Stephen Kwek:
Learning Intermediate Concepts. ALT 2001: 151-166 - [c13]Daniel R. Dooly, Sally A. Goldman, Stephen Kwek:
Real-Valued Multiple-Instance Learning with Queries. ALT 2001: 167-180 - 2000
- [c12]Stephen Kwek:
An Efficient Algorithm for Learning Upper Convex Polyhedra Using Membership Queries. AI&M 2000 - [c11]Paul W. Goldberg, Stephen Kwek:
The Precision of Query Points as a Resource for Learning Convex Polytopes with Membership Queries. COLT 2000: 225-235 - [i1]Peter Auer, Stephen Kwek, Wolfgang Maass, Manfred K. Warmuth:
Learning of Depth Two Neural Networks with Constant Fan-in at the Hidden Nodes. Electron. Colloquium Comput. Complex. TR00 (2000)
1990 – 1999
- 1999
- [c10]Sally A. Goldman, Stephen Kwek:
On Learning Unions of Pattern Languages and Tree Patterns. ALT 1999: 347-363 - [c9]Stephen Kwek:
An Apprentice Learning Model (extended abstract). COLT 1999: 63-74 - [c8]Dragoljub Pokrajac, Tim Fiez, Dragan Obradovic, Stephen Kwek, Zoran Obradovic:
Distribution comparison for site-specific regression modeling in agriculture. IJCNN 1999: 3937-3941 - 1998
- [j1]Stephen Kwek, Leonard Pitt:
PAC Learning Intersections of Halfspaces with Membership Queries. Algorithmica 22(1/2): 53-75 (1998) - 1997
- [b1]Stephen Kwek:
Geometric Concept Learning and Related Topics. University of Illinois Urbana-Champaign, USA, 1997 - [c7]Stephen Kwek:
Learning Disjunctions of Features. ALT 1997: 401-415 - [c6]Sally A. Goldman, Stephen Kwek, Stephen D. Scott:
Learning from Examples with Unspecified Attribute Values (Extended Abstract). COLT 1997: 231-242 - [c5]Sally A. Goldman, Stephen Kwek, Stephen D. Scott:
Agnostic Learning of Geometric Patterns (Extended Abstract). COLT 1997: 325-333 - [c4]David P. Helmbold, Stephen Kwek, Leonard Pitt:
Learning When to Trust Which Experts. EuroCOLT 1997: 134-149 - [c3]Stephen Kwek:
On a Simple Depth-First Search Strategy for Exploring Unknown Graphs. WADS 1997: 345-353 - 1996
- [c2]Stephen Kwek, Leonard Pitt:
PAC Learning Intersections of Halfspaces with Membership Queries (Extended Abstract). COLT 1996: 244-254 - [c1]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
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