| Speech Processing Approach For Diagnosing Dementia In An Early Stage | 3 | 0.51 | 2017 |
| A novel approach to signal classification with an application to identifying the alcoholic brain. | 2 | 0.36 | 2016 |
| Evolving spiking neural networks: A novel growth algorithm corrects the teacher | 0 | 0.34 | 2015 |
| Predicting with Confidence: Extensions to the GRNN Oracle Enabling Quantification of Confidence in Predictions | 0 | 0.34 | 2015 |
| New crossover operators for multiple subset selection tasks. | 4 | 0.40 | 2014 |
| Investigating the GRNN Oracle as a Method for Combining Multiple Predictive Models of Colon Cancer Recurrence from Gene Microarrays. | 0 | 0.34 | 2013 |
| Evolving Spike Neural Network Sensors to Characterize the Alcoholic Brain Using Visually Evoked Response Potential. | 3 | 0.42 | 2013 |
| GRNN Ensemble Classifier for Lung Cancer Prognosis Using Only Demographic and TNM features. | 0 | 0.34 | 2012 |
| Perturbation and candidate analysis to combat overfitting of gene expression microarray data. | 1 | 0.43 | 2011 |
| Evolutionary computation with noise perturbation and cluster analysis to discover biomarker sets. | 2 | 0.60 | 2011 |
| Evolving spiking neural networks for robot control. | 10 | 0.56 | 2011 |
| Evolving Spiking Neural Networks for predicting transcription factor binding sites | 0 | 0.34 | 2010 |
| A series of failed and partially successful fitness functions for evolving spiking neural networks | 3 | 0.50 | 2009 |
| SSNNS -: a suite of tools to explore spiking neural networks | 2 | 0.48 | 2008 |
| Improving Digital Video Commercial Detectors With Genetic Algorithms | 1 | 0.36 | 2002 |
| Niches in NK-Landscapes | 5 | 1.16 | 2000 |
| Code Compaction Using Genetic Algorithms | 2 | 0.42 | 2000 |
| TV Content Recommender System | 14 | 2.59 | 2000 |
| The Effects of Control Parameters and Restarts on Search Stagnation in Evolutionary Programming | 5 | 0.80 | 1998 |
| Crossover Operator Biases: Exploiting the Population Distribution | 30 | 3.01 | 1997 |
| Convergence Controlled Variation | 24 | 1.81 | 1996 |
| Productive Recombination and Propagating and Preserving Schemata | 8 | 2.11 | 1994 |
| Designing Multiplierless Digital Filters Using Genetic Algorithms | 11 | 2.37 | 1993 |
| Crossover's Niche | 42 | 12.23 | 1993 |
| Preventing Premature Convergence in Genetic Algorithms by Preventing Incest | 112 | 25.20 | 1991 |
| On Crossover as an Evolutionarily Viable Strategy | 48 | 11.41 | 1991 |
| Spurious Correlations and Premature Convergence in Genetic Algorithms | 19 | 9.06 | 1990 |
| Representation and hidden bias II: eliminating defining length bias in genetic search via shuffle crossover | 12 | 25.48 | 1989 |
| Proceedings of the 3rd International Conference on Genetic Algorithms, George Mason University, Fairfax, Virginia, USA, June 1989 | 58 | 1077.52 | 1989 |
| A study of control parameters affecting online performance of genetic algorithms for function optimization | 347 | 97.99 | 1989 |
| Biases in the crossover landscape | 134 | 56.61 | 1989 |
| Using multiple representations to improve inductive bias: gray and binary coding for genetic algorithms | 4 | 3.60 | 1989 |
| Adaptive Knowledge Representation - A Content Sensitive Recombination Mechanism For Genetic Algorithms | 2 | 0.76 | 1988 |
| Representation and Hidden Bias: Gray vs. Binary Coding for Genetic Algorithms | 62 | 24.53 | 1988 |
| An adaptive crossover distribution mechanism for genetic algorithms | 110 | 24.79 | 1987 |
| Learning Multiclass Pattern Discrimination | 10 | 8.32 | 1985 |
| Multi-objective learning via genetic algorithms | 28 | 11.47 | 1985 |
| Multiple Objective Optimization with Vector Evaluated Genetic Algorithms | 885 | 184.41 | 1985 |
