Adam Kowalczyk

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 3

Top Topics

Dynamic Programming

Pairwise Comparisons

Top Venues

Appl. Math. Comput.

Publications

Julio Benítez, Waldemar W. Koczkodaj, Adam Kowalczyk
Computationally efficient orthogonalization for pairwise comparisons method. Appl. Math. Comput. 473 (2024)
Julio Benítez, Waldemar W. Koczkodaj, Adam Kowalczyk
Computationally efficient orthogonalization for pairwise comparisons method. CoRR (2024)
Ziad Al Bkhetan, Justin Zobel, Adam Kowalczyk, Karin Verspoor, Benjamin Goudey
Exploring effective approaches for haplotype block phasing. BMC Bioinform. 20 (1) (2019)
Qiao Wang, Fan Shi, Andrew Kowalczyk, Richard M. Campbell, Benjamin Goudey, Dave Rawlinson, Aaron Harwood, Herman L. Ferrá, Adam Kowalczyk
GWISFI: A universal GPU interface for exhaustive search of pairwise interactions in case-control GWAS in minutes. BIBM (2014)
Gad Abraham, Adam Kowalczyk, Justin Zobel, Michael Inouye
SparSNP: Fast and memory-efficient analysis of all SNPs for phenotype prediction. BMC Bioinform. 13 (2012)
Gerard Wong, Christopher Leckie, Adam Kowalczyk
FSR: feature set reduction for scalable and accurate multi-class cancer subtype classification based on copy number. Bioinform. 28 (2) (2012)
Fan Shi, Gad Abraham, Christopher Leckie, Izhak Haviv, Adam Kowalczyk
Meta-analysis of gene expression microarrays with missing replicates. BMC Bioinform. 12 (2011)
Adam Kowalczyk, Justin Bedo, Thomas C. Conway, Bryan Beresford-Smith
The Poisson Margin Test for Normalization-Free Significance Analysis of NGS Data. J. Comput. Biol. 18 (3) (2011)
Benjamin Goudey, Qiao Wang, Dave Rawlinson, Armita Zarnegar, Eder Kikianty, John Markham, Geoff MacIntyre, Gad Abraham, Linda Stern, Michael Inouye, Izhak Haviv, Adam Kowalczyk
Replication of epistatic DNA loci in two case-control GWAS studies using OPE algorithm. BMC Bioinform. 12 (S-11) (2011)
Justin Bedo, Adam Kowalczyk
Genome annotation test with validation on transcription start site and ChIP-Seq for Pol-II binding data. Bioinform. 27 (12) (2011)
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 Bioinform. 11 (2010)
Geoff MacIntyre, James Bailey, Izhak Haviv, Adam Kowalczyk
regulatory SNP detection. Bioinform. 26 (18) (2010)
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. Bioinform. 26 (8) (2010)
Geoff MacIntyre, James Bailey, Izhak Haviv, Adam Kowalczyk
is-rSNP: a novel technique for in silico regulatory SNP detection. BMC Bioinform. 11 (S-10) (2010)
Adam Kowalczyk, Justin Bedo, Thomas C. Conway, Bryan Beresford-Smith
The Poisson Margin Test for Normalisation Free Significance Analysis of NGS Data. RECOMB (2010)
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 Bioinform. 11 (2010)
Geoff MacIntyre, James Bailey, Daniel Gustafsson, Izhak Haviv, Adam Kowalczyk
Using Gene Ontology annotations in exploratory microarray clustering to understand cancer etiology. Pattern Recognit. Lett. 31 (14) (2010)
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)
Adam Kowalczyk
Classification of Anti-learnable Biological and Synthetic Data. PKDD (2007)
Adam Kowalczyk
Continuity of Performance Metrics for Thin Feature Maps. ALT (2007)
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)
Adam Kowalczyk, Olivier Chapelle
An Analysis of the Anti-learning Phenomenon for the Class Symmetric Polyhedron. ALT (2005)
Adam Kowalczyk, Bhavani Raskutti, Herman L. Ferrá
Exploring Potential of Leave-One-Out Estimator for Calibration of SVM in Text Mining. PAKDD (2004)
Bhavani Raskutti, Adam Kowalczyk
Extreme re-balancing for SVMs: a case study. SIGKDD Explor. 6 (1) (2004)
Adam Kowalczyk, Bhavani Raskutti
Exploring Fringe Settings of SVMs for Classification. PKDD (2003)
Bhavani Raskutti, Herman L. Ferrá, Adam Kowalczyk
Combining clustering and co-training to enhance text classification using unlabelled data. KDD (2002)
Bhavani Raskutti, Herman L. Ferrá, Adam Kowalczyk
Using Unlabelled Data for Text Classification through Addition of Cluster Parameters. ICML (2002)
Thomas Gärtner, Peter A. Flach, Adam Kowalczyk, Alexander J. Smola
Multi-Instance Kernels. ICML (2002)
Adam Kowalczyk, Bhavani Raskutti
One Class SVM for Yeast Regulation Prediction. SIGKDD Explor. 4 (2) (2002)
Adam Kowalczyk, Alexander J. Smola, Robert C. Williamson
Kernel Machines and Boolean Functions. NIPS (2001)
Bhavani Raskutti, Herman L. Ferrá, Adam Kowalczyk
Second Order Features for Maximising Text Classification Performance. ECML (2001)
Adam Kowalczyk, Bhavani Raskutti
Learner's Self-Assessment: A Case Study of SVM for Information Retrieval. Australian Joint Conference on Artificial Intelligence (2001)
Adam Kowalczyk
Sparsity of Data Representation of Optimal Kernel Machine and Leave-one-out Estimator. NIPS (2000)
Adam Kowalczyk
Dense Shattering and Teaching Dimensions for Differentiable Families (Extended Abstract). COLT (1997)
Adam Kowalczyk
Estimates of Storage Capacity of Multilayer Perceptron with Threshold Logic Hidden Units. Neural Networks 10 (8) (1997)
Peter K. Campbell, Alan Christiansen, Michael Dale, Herman L. Ferrá, Adam Kowalczyk, Jacek Szymanski
Experiments with Simple Neural Networks for Real-Time Control. IEEE J. Sel. Areas Commun. 15 (2) (1997)
Adam Kowalczyk, Herman L. Ferrá
MLP Can Provably Generalize Much Better than VC-bounds Indicate. NIPS (1996)
Adam Kowalczyk, J. Szymariski, Robert C. Williamson
Learning curves from a modified VC-formalism: a case study. ICNN (1995)
Adam Kowalczyk, Jacek Szymanski, Peter L. Bartlett, Robert C. Williamson
Examples of learning curves from a modified VC-formalism. NIPS (1995)
Peter K. Campbell, F. Dale, Herman L. Ferrá, Adam Kowalczyk
Neural networks in real time control of telecommunication networks. ICNN (1995)
Peter K. Campbell, Michael Dale, Herman L. Ferrá, Adam Kowalczyk
Experiments with Neural Networks for Real Time Implementation of Control. NIPS (1995)
Adam Kowalczyk, Herman L. Ferrá
Developing higher-order networks with empirically selected units. IEEE Trans. Neural Networks 5 (5) (1994)
Adam Kowalczyk, Herman L. Ferrá
Generalisation in Feedforward Networks. NIPS (1994)
Nicholas J. Redding, Adam Kowalczyk, Tom Downs
Constructive higher-order network that is polynomial time. Neural Networks 6 (7) (1993)
Adam Kowalczyk
Counting Function Theorem for Multi-Layer Networks. NIPS (1993)
Adam Kowalczyk
Some Estimates on the Number of Connections and Hidden Units for Feed-Forward Networks. NIPS (1992)
Adam Kowalczyk, Herman L. Ferrá, Ken Gardiner
Discovering Production Rules with Higher Order Neural Networks. ML (1991)