Stephen Kwek

39 papers A* 6B 6C 2Journal 14Unranked 9
YearRankTypeTitle / Venue / Authors
2007 J jnl
A data reduction approach for resolving the imbalanced data issue in functional genomics.
Neural Comput. Appl.
Kihoon Yoon, Stephen Kwek
2007 — conf
An Approach for Analyzing DNA Copy Number Aberrations in Genome Using aCGH Profiles.
BIOCOMP
Amitava Karmaker, Stephen Kwek
2007 J jnl
An iterative refinement approach for data cleaning.
Intell. Data Anal.
Amitava Karmaker, Stephen Kwek
2007 J jnl
CGHsweep: An Algorithm for Analyzing Chromosomal Aberrations in Genome Using aCGH Profiles.
Silico Biol.
Amitava Karmaker, Stephen Kwek
2007 — conf
Discovery of Transcription Factors Using Protein Subcellular Localization Prediction and Gene Expression Profile Analysis.
MLMTA
Amitava Karmaker, Mark Doderer, Stephen Harris, Stephen Kwek
2007 — conf
Identification of cis-Regulatory Elements from Cross-Genome Comparison and Gene Expression Profile Analysis.
BIOCOMP
Amitava Karmaker, Stephen Harris, Stephen Kwek
2007 J jnl
Identifying Transcription Regulatory Elements in the Human and Mouse Genomes Using Tissue-specific Gene Expression Profiles.
J. Integr. Bioinform.
Amitava Karmaker, Kihoon Yoon, Mark Doderer, Russell Kruzelock, Stephen Kwek
2007 — conf
Species Independent Protein Localization Prediction for Multi-compartmentalized Proteins.
MLMTA
Mark Doderer, Kihoon Yoon, Stephen Kwek
2007 J jnl
iBoost: Boosting using an instance-based exponential weighting scheme.
Int. J. Hybrid Intell. Syst.
Amitava Karmaker, Kihoon Yoon, Chau Nguyen, Stephen Kwek
2006 J jnl
A boosting approach to remove class label noise.
Int. J. Hybrid Intell. Syst.
Amitava Karmaker, Stephen Kwek
2006 J jnl
Protein Subcellular Localization Prediction Using a Hybrid of Similarity Search and Error-Correcting Output Code Techniques That Produces Interpretable Results.
Silico Biol.
Mark Doderer, Kihoon Yoon, John Salinas, Stephen Kwek
2006 J jnl
Real-valued multiple-instance learning with queries.
J. Comput. Syst. Sci.
Daniel R. Dooly, Sally A. Goldman, Stephen Kwek
2005 C conf
A Boosting Approach to remove Class Label Noise.
HIS
Amitava Karmaker, Stephen Kwek
2005 — ch.
A filtering Approach to splice Site Predictions in Human genes.
Advances in Bioinformatics and Its Applications
Kihoon Yoon, Stephen Kwek
2005 — conf
Adapting Support Vector Machines to Predict Translation Initiation Sites the Human Genome.
CSB Workshops
Rehan Akbani, Stephen Kwek
2005 C conf
An Unsupervised Learning Approach to Resolving the Data Imbalanced Issue in Supervised Learning Problems in Functional Genomics.
HIS
Kihoon Yoon, Stephen Kwek
2004 — conf
Applying Support Vector Machines to Imbalanced Datasets.
ECML
Rehan Akbani, Stephen Kwek, Nathalie Japkowicz
2003 J jnl
Learning from examples with unspecified attribute values.
Inf. Comput.
Sally A. Goldman, Stephen Kwek, Stephen D. Scott
2003 J jnl
Optimal search for rationals.
Inf. Process. Lett.
Stephen Kwek, Kurt Mehlhorn
2002 J jnl
On learning unions of pattern languages and tree patterns in the mistake bound model.
Theor. Comput. Sci.
Sally A. Goldman, Stephen Kwek
2002 — conf
iBoost: Boosting Using an i nstance-Based Exponential Weighting Scheme.
ECML
Stephen Kwek, Chau Nguyen
2001 J jnl
Agnostic Learning of Geometric Patterns.
J. Comput. Syst. Sci.
Sally A. Goldman, Stephen Kwek, Stephen D. Scott
2001 B conf
Learning Intermediate Concepts.
ALT
Stephen Kwek
2001 B conf
Real-Valued Multiple-Instance Learning with Queries.
ALT
Daniel R. Dooly, Sally A. Goldman, Stephen Kwek
2000 — conf
An Efficient Algorithm for Learning Upper Convex Polyhedra Using Membership Queries.
AI&M
Stephen Kwek
2000 J jnl
Learning of Depth Two Neural Networks with Constant Fan-in at the Hidden Nodes
Electron. Colloquium Comput. Complex.
Peter Auer, Stephen Kwek, Wolfgang Maass, Manfred K. Warmuth
2000 A* conf
The Precision of Query Points as a Resource for Learning Convex Polytopes with Membership Queries.
COLT
Paul W. Goldberg, Stephen Kwek
1999 A* conf
An Apprentice Learning Model (extended abstract).
COLT
Stephen Kwek
1999 B conf
Distribution comparison for site-specific regression modeling in agriculture.
IJCNN
Dragoljub Pokrajac, Tim Fiez, Dragan Obradovic, Stephen Kwek, Zoran Obradovic
1999 B conf
On Learning Unions of Pattern Languages and Tree Patterns.
ALT
Sally A. Goldman, Stephen Kwek
1998 J jnl
PAC Learning Intersections of Halfspaces with Membership Queries.
Algorithmica
Stephen Kwek, Leonard Pitt
1997 A* conf
Agnostic Learning of Geometric Patterns (Extended Abstract).
COLT
Sally A. Goldman, Stephen Kwek, Stephen D. Scott
1997 — —
Geometric Concept Learning and Related Topics
Stephen Kwek
1997 B conf
Learning Disjunctions of Features.
ALT
Stephen Kwek
1997 — conf
Learning When to Trust Which Experts.
EuroCOLT
David P. Helmbold, Stephen Kwek, Leonard Pitt
1997 A* conf
Learning from Examples with Unspecified Attribute Values (Extended Abstract).
COLT
Sally A. Goldman, Stephen Kwek, Stephen D. Scott
1997 B conf
On a Simple Depth-First Search Strategy for Exploring Unknown Graphs.
WADS
Stephen Kwek
1996 A* conf
Learning of Depth Two Neural Networks with Constant Fan-In at the Hidden Nodes (Extended Abstract).
COLT
Peter Auer, Stephen Kwek, Wolfgang Maass, Manfred K. Warmuth
1996 A* conf
PAC Learning Intersections of Halfspaces with Membership Queries (Extended Abstract).
COLT
Stephen Kwek, Leonard Pitt