Adam Kowalczyk

	2012
34		Gerard Wong, Christopher Leckie, Adam Kowalczyk: FSR: feature set reduction for scalable and accurate multi-class cancer subtype classification based on copy number. Bioinformatics 28(2): 151-159 (2012)
	2011
33		Fan Shi, Gad Abraham, Christopher Leckie, Izhak Haviv, Adam Kowalczyk: Meta-analysis of gene expression microarrays with missing replicates. BMC Bioinformatics 12: 84 (2011)
32		Justin Bedo, Adam Kowalczyk: Genome annotation test with validation on transcription start site and ChIP-Seq for Pol-II binding data. Bioinformatics 27(12): 1610-1617 (2011)
	2010
31		Adam Kowalczyk, Justin Bedo, Thomas Conway, Bryan Beresford-Smith: The Poisson Margin Test for Normalisation Free Significance Analysis of NGS Data. RECOMB 2010: 297-309
30		Gad Abraham, Adam Kowalczyk, Sherene Loi, Izhak Haviv, Justin Zobel: Prediction of breast cancer prognosis using gene set statistics provides signature stability and biological context. BMC Bioinformatics 11: 277 (2010)
29		Fan Shi, Christopher Leckie, Geoff MacIntyre, Izhak Haviv, Alex Boussioutas, Adam Kowalczyk: A bi-ordering approach to linking gene expression with clinical annotations in gastric cancer. BMC Bioinformatics 11: 477 (2010)
28		Geoff MacIntyre, James Bailey, Izhak Haviv, Adam Kowalczyk: is-rSNP: a novel technique for in silico regulatory SNP detection. Bioinformatics 26(18): (2010)
27		Gerard Wong, Christopher Leckie, Kylie L. Gorringe, Izhak Haviv, Ian G. Campbell, Adam Kowalczyk: Exploiting sequence similarity to validate the sensitivity of SNP arrays in detecting fine-scaled copy number variations. Bioinformatics 26(8): 1007-1014 (2010)
26		Geoff MacIntyre, James Bailey, Daniel Gustafsson, Izhak Haviv, Adam Kowalczyk: Using Gene Ontology annotations in exploratory microarray clustering to understand cancer etiology. Pattern Recognition Letters 31(14): 2138-2146 (2010)
	2008
25		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		Adam Kowalczyk: Continuity of Performance Metrics for Thin Feature Maps. ALT 2007: 343-357
23		Adam Kowalczyk: Classification of Anti-learnable Biological and Synthetic Data. PKDD 2007: 176-187
	2006
22		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		Adam Kowalczyk, Olivier Chapelle: An Analysis of the Anti-learning Phenomenon for the Class Symmetric Polyhedron. ALT 2005: 78-91
	2004
20		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		Bhavani Raskutti, Adam Kowalczyk: Extreme re-balancing for SVMs: a case study. SIGKDD Explorations 6(1): 60-69 (2004)
	2003
18		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		Bhavani Raskutti, Herman L. Ferrá, Adam Kowalczyk: Combining clustering and co-training to enhance text classification using unlabelled data. KDD 2002: 620-625
14		Adam Kowalczyk, Bhavani Raskutti: One Class SVM for Yeast Regulation Prediction. SIGKDD Explorations 4(2): 99-100 (2002)
	2001
13		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		Bhavani Raskutti, Herman L. Ferrá, Adam Kowalczyk: Second Order Features for Maximising Text Classification Performance. ECML 2001: 419-430
11		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		Adam Kowalczyk: Estimates of Storage Capacity of Multilayer Perceptron with Threshold Logic Hidden Units. Neural Networks 10(8): 1417-1433 (1997)
	1996
7		Adam Kowalczyk, Herman L. Ferrá: MLP Can Provably Generalize Much Better than VC-bounds Indicate. NIPS 1996: 190-196
	1995
6		Adam Kowalczyk, Jacek Szymanski, Peter L. Bartlett, Robert C. Williamson: Examples of learning curves from a modified VC-formalism. NIPS 1995: 344-350
5		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		Adam Kowalczyk, Herman L. Ferrá: Generalisation in Feedforward Networks. NIPS 1994: 215-222
	1993
3		Adam Kowalczyk: Counting Function Theorem for Multi-Layer Networks. NIPS 1993: 375-382
	1992
2		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

Coauthor Index

1	Gad Abraham	[30] [33]
2	James Bailey	[25] [26] [28]
3	Peter L. Bartlett	[6]
4	Justin Bedo	[22] [31] [32]
5	Bryan Beresford-Smith	[31]
6	Alex Boussioutas	[25] [29]
7	Ian G. Campbell	[27]
8	Peter K. Campbell	[5] [9]
9	Olivier Chapelle	[21]
10	Alan Christiansen	[9]
11	Thomas Conway	[31]
12	Michael Dale	[5] [9]
13	Herman L. Ferrá	[1] [4] [5] [7] [9] [12] [15] [16] [20]
14	Peter A. Flach	[17]
15	Ken Gardiner	[1]
16	Thomas Gärtner	[17]
17	Kylie L. Gorringe	[27]
18	Daniel Gustafsson	[25] [26]
19	Izhak Haviv	[25] [26] [27] [28] [29] [30] [33]
20	Christopher Leckie	[27] [29] [33] [34]
21	Sherene Loi	[30]
22	Geoff MacIntyre	[25] [26] [28] [29]
23	Bhavani Raskutti	[12] [13] [14] [15] [16] [18] [19] [20]
24	Conrad Sanderson	[22]
25	Fan Shi	[29] [33]
26	Alexander J. Smola (Alex J. Smola)	[11] [17]
27	Jacek Szymanski	[6] [9]
28	Robert C. Williamson	[6] [11]
29	Gerard Wong	[27] [34]
30	Justin Zobel	[30]

Last update Fri Jun 1 15:44:53 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page