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J. David Schaffer
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Publications
- 2016
- [j3]Arnab Roy, J. David Schaffer, Craig B. Laramee:
A novel approach to signal classification with an application to identifying the alcoholic brain. Appl. Soft Comput. 43: 406-414 (2016) - 2015
- [c35]Walker H. Land Jr., J. David Schaffer:
Predicting with Confidence: Extensions to the GRNN Oracle Enabling Quantification of Confidence in Predictions. Complex Adaptive Systems 2015: 381-387 - 2014
- [i1]Arnab Roy, J. David Schaffer, Craig B. Laramee:
New crossover operators for multiple subset selection tasks. CoRR abs/1408.1297 (2014) - 2013
- [c34]Arnab Roy, J. David Schaffer, Craig B. Laramee:
Evolving Spike Neural Network Sensors to Characterize the Alcoholic Brain Using Visually Evoked Response Potential. Complex Adaptive Systems 2013: 27-32 - [c33]Aaron S. Campbell, Walker H. Land Jr., Dan Margolis, Ravi Mathur, J. David Schaffer:
Investigating the GRNN Oracle as a Method for Combining Multiple Predictive Models of Colon Cancer Recurrence from Gene Microarrays. Complex Adaptive Systems 2013: 374-378 - 2012
- [c32]Thomas Raway, J. David Schaffer, Kenneth J. Kurtz, Hiroki Sayama:
Evolving data sets to highlight the performance differences between machine learning classifiers. GECCO (Companion) 2012: 657-658 - [c31]J. David Schaffer, Jin-Woo Park, Erin Barnes, Qiyi Lu, Xingye Qiao, Youping Deng, Yan Li, Walker H. Land Jr.:
GRNN Ensemble Classifier for Lung Cancer Prognosis Using Only Demographic and TNM features. Complex Adaptive Systems 2012: 450-455 - 2011
- [j2]Ravi Mathur, J. David Schaffer, Walker H. Land Jr., John J. Heine, Jonathan M. Hernandez, Timothy Yeatman:
Perturbation and candidate analysis to combat overfitting of gene expression microarray data. Int. J. Comput. Biol. Drug Des. 4(4): 307-315 (2011) - [c30]Ravi Mathur, J. David Schaffer, Walker H. Land Jr., John J. Heine, Steven Eschrich, Timothy Yeatman:
Evolutionary computation with noise perturbation and cluster analysis to discover biomarker sets. Complex Adaptive Systems 2011: 153-158 - [c29]R. Batllori, Craig B. Laramee, Walker H. Land Jr., J. David Schaffer:
Evolving spiking neural networks for robot control. Complex Adaptive Systems 2011: 329-334 - 2010
- [c28]Heike Sichtig, J. David Schaffer, Alberto Riva:
Evolving Spiking Neural Networks for predicting transcription factor binding sites. IJCNN 2010: 1-8 - 2009
- [c27]J. David Schaffer, Heike Sichtig, Craig B. Laramee:
A series of failed and partially successful fitness functions for evolving spiking neural networks. GECCO (Companion) 2009: 2661-2664 - 2008
- [c26]Heike Sichtig, J. David Schaffer, Craig B. Laramee:
SSNNS -: a suite of tools to explore spiking neural networks. GECCO (Companion) 2008: 1787-1790
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last updated on 2023-09-27 22:47 CEST by the dblp team
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