| 2008 |
|---|
| 25 | EE | Geoff Macintyre,
James Bailey,
Daniel Gustafsson,
Alex Boussioutas,
Izhak Haviv,
Adam Kowalczyk:
Gene Ontology Assisted Exploratory Microarray Clustering and Its Application to Cancer.
PRIB 2008: 400-411 |
| 2007 |
|---|
| 24 | EE | Adam Kowalczyk:
Continuity of Performance Metrics for Thin Feature Maps.
ALT 2007: 343-357 |
| 23 | EE | Adam Kowalczyk:
Classification of Anti-learnable Biological and Synthetic Data.
PKDD 2007: 176-187 |
| 2006 |
|---|
| 22 | EE | Justin Bedo,
Conrad Sanderson,
Adam Kowalczyk:
An Efficient Alternative to SVM Based Recursive Feature Elimination with Applications in Natural Language Processing and Bioinformatics.
Australian Conference on Artificial Intelligence 2006: 170-180 |
| 2005 |
|---|
| 21 | EE | Adam Kowalczyk,
Olivier Chapelle:
An Analysis of the Anti-learning Phenomenon for the Class Symmetric Polyhedron.
ALT 2005: 78-91 |
| 2004 |
|---|
| 20 | EE | Adam Kowalczyk,
Bhavani Raskutti,
Herman L. Ferrá:
Exploring Potential of Leave-One-Out Estimator for Calibration of SVM in Text Mining.
PAKDD 2004: 361-372 |
| 19 | EE | Bhavani Raskutti,
Adam Kowalczyk:
Extreme re-balancing for SVMs: a case study.
SIGKDD Explorations 6(1): 60-69 (2004) |
| 2003 |
|---|
| 18 | EE | Adam Kowalczyk,
Bhavani Raskutti:
Exploring Fringe Settings of SVMs for Classification.
PKDD 2003: 278-290 |
| 2002 |
|---|
| 17 | | Thomas Gärtner,
Peter A. Flach,
Adam Kowalczyk,
Alex J. Smola:
Multi-Instance Kernels.
ICML 2002: 179-186 |
| 16 | | Bhavani Raskutti,
Herman L. Ferrá,
Adam Kowalczyk:
Using Unlabelled Data for Text Classification through Addition of Cluster Parameters.
ICML 2002: 514-521 |
| 15 | EE | Bhavani Raskutti,
Herman L. Ferrá,
Adam Kowalczyk:
Combining clustering and co-training to enhance text classification using unlabelled data.
KDD 2002: 620-625 |
| 14 | EE | Adam Kowalczyk,
Bhavani Raskutti:
One Class SVM for Yeast Regulation Prediction.
SIGKDD Explorations 4(2): 99-100 (2002) |
| 2001 |
|---|
| 13 | EE | Adam Kowalczyk,
Bhavani Raskutti:
Learner's Self-Assessment: A Case Study of SVM for Information Retrieval.
Australian Joint Conference on Artificial Intelligence 2001: 249-260 |
| 12 | EE | Bhavani Raskutti,
Herman L. Ferrá,
Adam Kowalczyk:
Second Order Features for Maximising Text Classification Performance.
ECML 2001: 419-430 |
| 11 | EE | Adam Kowalczyk,
Alex J. Smola,
Robert C. Williamson:
Kernel Machines and Boolean Functions.
NIPS 2001: 439-446 |
| 2000 |
|---|
| 10 | | Adam Kowalczyk:
Sparsity of Data Representation of Optimal Kernel Machine and Leave-one-out Estimator.
NIPS 2000: 252-258 |
| 1997 |
|---|
| 9 | | Peter K. Campbell,
Alan Christiansen,
Michael Dale,
Herman L. Ferrá,
Adam Kowalczyk,
Jacek Szymanski:
Experiments with Simple Neural Networks for Real-Time Control.
IEEE Journal on Selected Areas in Communications 15(2): 165-178 (1997) |
| 8 | EE | Adam Kowalczyk:
Estimates of Storage Capacity of Multilayer Perceptron with Threshold Logic Hidden Units.
Neural Networks 10(8): 1417-1433 (1997) |
| 1996 |
|---|
| 7 | EE | Adam Kowalczyk,
Herman L. Ferrá:
MLP Can Provably Generalize Much Better than VC-bounds Indicate.
NIPS 1996: 190-196 |
| 1995 |
|---|
| 6 | EE | Adam Kowalczyk,
Jacek Szymanski,
Peter L. Bartlett,
Robert C. Williamson:
Examples of learning curves from a modified VC-formalism.
NIPS 1995: 344-350 |
| 5 | EE | Peter K. Campbell,
Michael Dale,
Herman L. Ferrá,
Adam Kowalczyk:
Experiments with Neural Networks for Real Time Implementation of Control.
NIPS 1995: 973-979 |
| 1994 |
|---|
| 4 | EE | Adam Kowalczyk,
Herman L. Ferrá:
Generalisation in Feedforward Networks.
NIPS 1994: 215-222 |
| 1993 |
|---|
| 3 | EE | Adam Kowalczyk:
Counting Function Theorem for Multi-Layer Networks.
NIPS 1993: 375-382 |
| 1992 |
|---|
| 2 | EE | Adam Kowalczyk:
Some Estimates on the Number of Connections and Hidden Units for Feed-Forward Networks.
NIPS 1992: 639-646 |
| 1991 |
|---|
| 1 | | Adam Kowalczyk,
Herman L. Ferrá,
Ken Gardiner:
Discovering Production Rules with Higher Order Neural Networks.
ML 1991: 158-162 |
