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Andrew Skabar

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

13

Venues

8

Active years

2000–2019

Best venue rank

B

Where they publish

Papers

13 indexed papers, newest first.

YearVenueTitleAuthors
2019IJCNNRestricted Boltzmann Machines: an Eigencentrality-based Approach.Andrew Skabar
2017ICCSClustering Mixed-Attribute Data using Random Walk.Andrew Skabar
2016WSCRandom vector generation from mixed-attribute datasets using random walk.Andrew Skabar
2010IJCNNDensity estimation-based document categorization using von Mises-Fisher kernels.Andrew Skabar, Shahmeer Memon
2009ICCSLag-Dependent Regularization for MLPs Applied to Financial Time Series Forecasting Tasks.Andrew Skabar
2008ICCSA Kernel-Based Technique for Direction-of-Change Financial Time Series Forecasting.Andrew Skabar
2006IJCNNMulti-label Classification of Gene Function using MLPs.Andrew Skabar, Dennis Wollersheim, Tim Whitfort
2005ICANNApplication of Bayesian MLP Techniques to Predicting Mineralization Potential from Geoscientific Data.Andrew Skabar
2005KESAutomatic MLP Weight Regularization on Mineralization Prediction Tasks.Andrew Skabar
2003HISA GA-based Neural Network Weight Optimization Technique for Semi-Supervised Classifier Learning.Andrew Skabar
2003IJCNNMineral potential mapping using feed-forward neural networks.Andrew Skabar
2002KIAugmenting Supervised Neural Classifier Training Using a Corpus of Unlabeled Data.Andrew Skabar
2000PRICAIA Classifier Fitness Measure Based on Bayesian Likelihoods: An Approach to the Problem of Learning from Positives Only.Andrew Skabar, Anthony J. Maeder, Binh Pham