| 2007 |
| 20 | EE | Benjamin J. Kelly,
Paul E. Anderson,
Nicholas V. Reo,
Nicholas J. DelRaso,
Travis E. Doom,
Michael L. Raymer:
A Proposed Statistical Protocol for the Analysis of Metabolic Toxicological Data Derived from NMR Spectroscopy.
BIBE 2007: 1414-1418 |
| 19 | EE | Douglas W. Raiford,
Dan E. Krane,
Travis E. Doom,
Michael L. Raymer:
A Multi-Objective Genetic Algorithm that Employs a Hybrid Approach for Isolating Codon Usage Bias Indicative of Translational Efficiency.
BIBE 2007: 278-285 |
| 2006 |
| 18 | | Douglas W. Raiford,
Dan E. Krane,
Travis E. Doom,
Michael L. Raymer:
Isolation and Visualization of Codon Usage Biases.
BIBE 2006: 179-183 |
| 17 | | Sridhar Ramachandran,
Travis E. Doom,
Michael L. Raymer,
Dan E. Krane:
Parsimony approach to test the Evolving Master Gene hypothesis for human Alu repeats.
BIBE 2006: 213-219 |
| 2005 |
| 16 | EE | Paul E. Anderson,
Douglas W. Raiford,
Deacon J. Sweeney,
Travis E. Doom,
Michael L. Raymer:
Stochastic Model of Protease-Ligand Reactions.
BIBE 2005: 306-310 |
| 15 | EE | Michael R. Peterson,
Michael L. Raymer,
Gary B. Lamont:
Balanced accuracy for feature subset selection with genetic algorithms.
Congress on Evolutionary Computation 2005: 2506-2513 |
| 14 | EE | Michael R. Peterson,
Travis E. Doom,
Michael L. Raymer:
GA-facilitated KNN classifier optimization with varying similarity measures.
Congress on Evolutionary Computation 2005: 2514-2521 |
| 13 | EE | Michael R. Peterson,
Travis E. Doom,
Michael L. Raymer:
GA-facilitated classifier optimization with varying similarity measures.
GECCO 2005: 1549-1550 |
| 12 | EE | Michael L. Raymer:
Book Review: Evolutionary Computation in Bioinformatics.
Genetic Programming and Evolvable Machines 6(2): 229-230 (2005) |
| 2004 |
| 11 | EE | G. Cooper,
Michael L. Raymer,
Travis E. Doom,
Don Krane,
Natsuhiko Futamura:
Indexing Genomic Databases.
BIBE 2004: 587-591 |
| 10 | EE | Gregory R. Kramer,
John C. Gallagher,
Michael L. Raymer:
On the Relative Efficacies of *cGA Variants for Intrinsic Evolvable Hardware: Population, Mutation, and Random Immigrants.
Evolvable Hardware 2004: 225-230 |
| 9 | EE | Michael R. Peterson,
Travis E. Doom,
Michael L. Raymer:
GA-Facilitated Knowledge Discovery and Pattern Recognition Optimization Applied to the Biochemistry of Protein Solvation.
GECCO (1) 2004: 426-437 |
| 2003 |
| 8 | | Jason R. Gilder,
Don Krane,
Travis E. Doom,
Michael L. Raymer:
Identifying the Patterns in DNA.
MAICS 2003: 31-35 |
| 7 | | Michael L. Raymer,
Travis E. Doom,
Leslie A. Kuhn,
William F. Punch III:
Knowledge discovery in medical and biological datasets using a hybrid Bayes classifier/evolutionary algorithm.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 33(5): 802-813 (2003) |
| 2002 |
| 6 | EE | Travis E. Doom,
Michael L. Raymer,
Dan E. Krane,
Oscar Garcia:
A proposed undergraduate bioinformatics curriculum for computer scientists.
SIGCSE 2002: 78-81 |
| 2001 |
| 5 | | Jason R. Gilder,
Michael L. Raymer,
Travis E. Doom:
PocketMol: A Molecular Visualization Tool for the PocketPC (short paper).
BIBE 2001: 11-14 |
| 4 | | Michael L. Raymer,
Leslie A. Kuhn,
William F. Punch III:
Knowledge Discovery in Biological Databasets Using a Hybrid Bayes Classifier/Evolutionary Algorithm.
BIBE 2001: 236-245 |
| 3 | | Deacon J. Sweeney,
Gerald M. Alter,
Michael L. Raymer,
Travis E. Doom:
Profile Combinatorics for Fragment Selection in Comparative Protein Structure Modeling.
BIBE 2001: 271-278 |
| 2000 |
| 2 | | Michael L. Raymer,
William F. Punch III,
Erik D. Goodman,
Leslie A. Kuhn,
Anil K. Jain:
Dimensionality reduction using genetic algorithms.
IEEE Trans. Evolutionary Computation 4(2): 164-171 (2000) |
| 1997 |
| 1 | | Michael L. Raymer,
William F. Punch III,
Erik D. Goodman,
Paul C. Sanschagrin,
Leslie A. Kuhn:
Simultanous Feature Extraction and Selection Using a Genetic Algorithm.
ICGA 1997: 561-567 |