Adam Kowalczyk

47 papers A* 4B 4Journal 21Unranked 18

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Computationally efficient orthogonalization for pairwise comparisons method. Appl. Math. Comput. Julio Benítez, Waldemar W. Koczkodaj, Adam Kowalczyk
2024	J	`jnl`	Computationally efficient orthogonalization for pairwise comparisons method. CoRR Julio Benítez, Waldemar W. Koczkodaj, Adam Kowalczyk
2019	J	`jnl`	Exploring effective approaches for haplotype block phasing. BMC Bioinform. Ziad Al Bkhetan, Justin Zobel, Adam Kowalczyk, Karin Verspoor, Benjamin Goudey
2014	—	`conf`	GWISFI: A universal GPU interface for exhaustive search of pairwise interactions in case-control GWAS in minutes. BIBM Qiao Wang, Fan Shi, Andrew Kowalczyk, Richard M. Campbell, Benjamin Goudey, Dave Rawlinson, Aaron Harwood, Herman L. Ferrá, Adam Kowalczyk
2012	J	`jnl`	FSR: feature set reduction for scalable and accurate multi-class cancer subtype classification based on copy number. Bioinform. Gerard Wong, Christopher Leckie, Adam Kowalczyk
2012	J	`jnl`	SparSNP: Fast and memory-efficient analysis of all SNPs for phenotype prediction. BMC Bioinform. Gad Abraham, Adam Kowalczyk, Justin Zobel, Michael Inouye
2011	J	`jnl`	Genome annotation test with validation on transcription start site and ChIP-Seq for Pol-II binding data. Bioinform. Justin Bedo, Adam Kowalczyk
2011	J	`jnl`	Meta-analysis of gene expression microarrays with missing replicates. BMC Bioinform. Fan Shi, Gad Abraham, Christopher Leckie, Izhak Haviv, Adam Kowalczyk
2011	J	`jnl`	Replication of epistatic DNA loci in two case-control GWAS studies using OPE algorithm. BMC Bioinform. Benjamin Goudey, Qiao Wang, Dave Rawlinson, Armita Zarnegar, Eder Kikianty, John Markham, Geoff MacIntyre, Gad Abraham, Linda Stern, Michael Inouye, Izhak Haviv, Adam Kowalczyk
2011	J	`jnl`	The Poisson Margin Test for Normalization-Free Significance Analysis of NGS Data. J. Comput. Biol. Adam Kowalczyk, Justin Bedo, Thomas C. Conway, Bryan Beresford-Smith
2010	J	`jnl`	A bi-ordering approach to linking gene expression with clinical annotations in gastric cancer. BMC Bioinform. Fan Shi, Christopher Leckie, Geoff MacIntyre, Izhak Haviv, Alex Boussioutas, Adam Kowalczyk
2010	J	`jnl`	Exploiting sequence similarity to validate the sensitivity of SNP arrays in detecting fine-scaled copy number variations. Bioinform. Gerard Wong, Christopher Leckie, Kylie L. Gorringe, Izhak Haviv, Ian G. Campbell, Adam Kowalczyk
2010	J	`jnl`	Prediction of breast cancer prognosis using gene set statistics provides signature stability and biological context. BMC Bioinform. Gad Abraham, Adam Kowalczyk, Sherene Loi, Izhak Haviv, Justin Zobel
2010	B	`conf`	The Poisson Margin Test for Normalisation Free Significance Analysis of NGS Data. RECOMB Adam Kowalczyk, Justin Bedo, Thomas C. Conway, Bryan Beresford-Smith
2010	J	`jnl`	Using Gene Ontology annotations in exploratory microarray clustering to understand cancer etiology. Pattern Recognit. Lett. Geoff MacIntyre, James Bailey, Daniel Gustafsson, Izhak Haviv, Adam Kowalczyk
2010	J	`jnl`	is-rSNP: a novel technique for Bioinform. Geoff MacIntyre, James Bailey, Izhak Haviv, Adam Kowalczyk
2010	J	`jnl`	is-rSNP: a novel technique for in silico regulatory SNP detection. BMC Bioinform. Geoff MacIntyre, James Bailey, Izhak Haviv, Adam Kowalczyk
2008	—	`conf`	Gene Ontology Assisted Exploratory Microarray Clustering and Its Application to Cancer. PRIB Geoff MacIntyre, James Bailey, Daniel Gustafsson, Alex Boussioutas, Izhak Haviv, Adam Kowalczyk
2007	—	`conf`	Classification of Anti-learnable Biological and Synthetic Data. PKDD Adam Kowalczyk
2007	B	`conf`	Continuity of Performance Metrics for Thin Feature Maps. ALT Adam Kowalczyk
2006	—	`conf`	An Efficient Alternative to SVM Based Recursive Feature Elimination with Applications in Natural Language Processing and Bioinformatics. Australian Conference on Artificial Intelligence Justin Bedo, Conrad Sanderson, Adam Kowalczyk
2005	B	`conf`	An Analysis of the Anti-learning Phenomenon for the Class Symmetric Polyhedron. ALT Adam Kowalczyk, Olivier Chapelle
2004	B	`conf`	Exploring Potential of Leave-One-Out Estimator for Calibration of SVM in Text Mining. PAKDD Adam Kowalczyk, Bhavani Raskutti, Herman L. Ferrá
2004	J	`jnl`	Extreme re-balancing for SVMs: a case study. SIGKDD Explor. Bhavani Raskutti, Adam Kowalczyk
2003	—	`conf`	Exploring Fringe Settings of SVMs for Classification. PKDD Adam Kowalczyk, Bhavani Raskutti
2002	A*	`conf`	Combining clustering and co-training to enhance text classification using unlabelled data. KDD Bhavani Raskutti, Herman L. Ferrá, Adam Kowalczyk
2002	A*	`conf`	Multi-Instance Kernels. ICML Thomas Gärtner, Peter A. Flach, Adam Kowalczyk, Alexander J. Smola
2002	J	`jnl`	One Class SVM for Yeast Regulation Prediction. SIGKDD Explor. Adam Kowalczyk, Bhavani Raskutti
2002	A*	`conf`	Using Unlabelled Data for Text Classification through Addition of Cluster Parameters. ICML Bhavani Raskutti, Herman L. Ferrá, Adam Kowalczyk
2001	—	`conf`	Kernel Machines and Boolean Functions. NIPS Adam Kowalczyk, Alexander J. Smola, Robert C. Williamson
2001	—	`conf`	Learner's Self-Assessment: A Case Study of SVM for Information Retrieval. Australian Joint Conference on Artificial Intelligence Adam Kowalczyk, Bhavani Raskutti
2001	—	`conf`	Second Order Features for Maximising Text Classification Performance. ECML Bhavani Raskutti, Herman L. Ferrá, Adam Kowalczyk
2000	—	`conf`	Sparsity of Data Representation of Optimal Kernel Machine and Leave-one-out Estimator. NIPS Adam Kowalczyk
1997	A*	`conf`	Dense Shattering and Teaching Dimensions for Differentiable Families (Extended Abstract). COLT Adam Kowalczyk
1997	J	`jnl`	Estimates of Storage Capacity of Multilayer Perceptron with Threshold Logic Hidden Units. Neural Networks Adam Kowalczyk
1997	J	`jnl`	Experiments with Simple Neural Networks for Real-Time Control. IEEE J. Sel. Areas Commun. Peter K. Campbell, Alan Christiansen, Michael Dale, Herman L. Ferrá, Adam Kowalczyk, Jacek Szymanski
1996	—	`conf`	MLP Can Provably Generalize Much Better than VC-bounds Indicate. NIPS Adam Kowalczyk, Herman L. Ferrá
1995	—	`conf`	Examples of learning curves from a modified VC-formalism. NIPS Adam Kowalczyk, Jacek Szymanski, Peter L. Bartlett, Robert C. Williamson
1995	—	`conf`	Experiments with Neural Networks for Real Time Implementation of Control. NIPS Peter K. Campbell, Michael Dale, Herman L. Ferrá, Adam Kowalczyk
1995	—	`conf`	Learning curves from a modified VC-formalism: a case study. ICNN Adam Kowalczyk, J. Szymariski, Robert C. Williamson
1995	—	`conf`	Neural networks in real time control of telecommunication networks. ICNN Peter K. Campbell, Michael Dale, Herman L. Ferrá, Adam Kowalczyk
1994	J	`jnl`	Developing higher-order networks with empirically selected units. IEEE Trans. Neural Networks Adam Kowalczyk, Herman L. Ferrá
1994	—	`conf`	Generalisation in Feedforward Networks. NIPS Adam Kowalczyk, Herman L. Ferrá
1993	J	`jnl`	Constructive higher-order network that is polynomial time. Neural Networks Nicholas J. Redding, Adam Kowalczyk, Tom Downs
1993	—	`conf`	Counting Function Theorem for Multi-Layer Networks. NIPS Adam Kowalczyk
1992	—	`conf`	Some Estimates on the Number of Connections and Hidden Units for Feed-Forward Networks. NIPS Adam Kowalczyk
1991	—	`conf`	Discovering Production Rules with Higher Order Neural Networks. ML Adam Kowalczyk, Herman L. Ferrá, Ken Gardiner