The Effect of Genetic Operator Probabilities and Selection Strategies on the Performance of a Genetic Algorithm. - Kay C. Wiese; Scott D. Goodwin (Canadian AI, 1998)

Parallel Genetic Algorithms for Constrained Ordering Problems. - Kay C. Wiese; Sivakumar Nagarajan; Scott D. Goodwin (FLAIRS, 1998)

Keep-best reproduction: a selection strategy for genetic algorithms. - Kay C. Wiese; Scott D. Goodwin (SAC, 1998)

Convergence Characteristics of Keep-Best Reproduction. - Kay C. Wiese; Scott D. Goodwin (SAC, 1999)

ASERC - A Genetic Sequencing Operator for Asymmetric Permutation Problems. - Kay C. Wiese; Scott D. Goodwin; Sivakumar Nagarajan (AI, 2000)

Keep-Best Reproduction: A Local Family Competition Selection Strategy and the Environment it Flourishes in. - Kay C. Wiese; Scott D. Goodwin (Constraints An Int. J., 2001)

A Permutation Based Genetic Algorithm for RNA Secondary Structure Prediction. - Kay C. Wiese; Edward Glen (HIS, 2002)

A distributed genetic algorithm for RNA secondary structure prediction. - Andrew Hendriks; Kay C. Wiese; Edward Glen; Alain Deschênes (IEEE Congress on Evolutionary Computation, 2003)

Permutation-based RNA secondary structure prediction via a genetic algorithm. - Kay C. Wiese; Alain Deschênes; Edward Glen (IEEE Congress on Evolutionary Computation, 2003)

RNA Structure as Permutation: A GA Approach Comparing Different Genetic Sequencing Operators. - Kay C. Wiese; Edward Glen (ISMIS, 2003)

Comparison of Permutation-Based and Binary Representation in a Genetic Algorithm for RNA Secondary Structure Prediction. - Alain Deschênes; Kay C. Wiese; Edward Glen (Canadian AI, 2004)

Comparison of Parallel and Serial Genetic Algorithms for RNA Secondary Structure Prediction. - Andrew Hendriks; Kay C. Wiese; Edward Glen (Canadian AI, 2004)

Genetic Algorithm Based OSPF Network Routing Using LEDA. - Lenny Tang; Kay C. Wiese; Vive Kumar (Canadian AI, 2004)

Using stacking-energies (INN and INN-HB) for improving the accuracy of RNA secondary structure prediction with an evolutionary algorithm - a comparison to known structures. - Alain Deschênes; Kay C. Wiese (IEEE Congress on Evolutionary Computation, 2004)

Comparison of dynamic programming and evolutionary algorithms for RNA secondary structure prediction. - Alain Deschênes; Kay C. Wiese; Jagdeep Poonian (CIBCB, 2004)

A parallel evolutionary algorithm for RNA secondary structure prediction using stacking-energies (INN and INN-HB). - Andrew Hendriks; Alain Deschênes; Kay C. Wiese (CIBCB, 2004)

Exploring the Use of Stem-Loop Characteristics for Pinpointing Structural RNA Genes. - Kirt M. Noël; Kay C. Wiese (CSB, 2004)

Significance of randomness in P-RnaPredict - a parallel evolutionary algorithm for RNA folding. - Kay C. Wiese; Andrew Hendriks; Alain Deschênes; Belgacem Ben Youssef (Congress on Evolutionary Computation, 2005)

Algorithms for RNA folding: a comparison of dynamic programming and parallel evolutionary algorithms. - Kay C. Wiese; Andrew Hendriks; Jagdeep Poonian (Congress on Evolutionary Computation, 2005)

The impact of pseudorandom number quality on P-RnaPredict, a parallel genetic algorithm for RNA secondary structure prediction. - Kay C. Wiese; Andrew Hendriks; Alain Deschênes; Belgacem Ben Youssef (GECCO, 2005)

Graph Drawing Tools for Bioinformatics Research: An Overview. - Kay C. Wiese; Christina Eicher (CBMS, 2006)

jViz.Rna - An Interactive Graphical Tool for Visualizing RNA Secondary Structure Including Pseudoknots. - Kay C. Wiese; Edward Glen (CBMS, 2006)

A Detailed Analysis of Parallel Speedup in P-RnaPredict - An Evolutionary Algorithm for RNA Secondary Structure Prediction. - Kay C. Wiese; Andrew Hendriks (IEEE Congress on Evolutionary Computation, 2006)

SARNA-Predict: A Simulated Annealing Algorithm for RNA Secondary Structure Prediction. - Herbert H. Tsang; Kay C. Wiese (CIBCB, 2006)

Analysis of Thermodynamic Models and Performance in RnaPredict - An Evolutionary Algorithm for RNA Folding. - Kay C. Wiese; Andrew Hendriks; Alain Deschênes (CIBCB, 2006)

Comparison of P-RnaPredict and mfold - algorithms for RNA secondary structure prediction. - Kay C. Wiese; Andrew Hendriks (Bioinform., 2006)

Ebbie: automated analysis and storage of small RNA cloning data using a dynamic web server. - H. Alexander Ebhardt; Kay C. Wiese; Peter J. Unrau (BMC Bioinform., 2006)

IEEE/CIS Tour de China [Family Corner]. - Kay C. Wiese (IEEE Comput. Intell. Mag., 2006)

Improved Covariance Model Parameter Estimation Using RNA Thermodynamic Properties. - Scott F. Smith 002; Kay C. Wiese (BIONETICS, 2007)

The significance of thermodynamic models in the accuracy improvement of RNA secondary structure prediction using permutation-based simulated annealing. - Herbert H. Tsang; Kay C. Wiese (IEEE Congress on Evolutionary Computation, 2007)

SARNA-Predict: A Study of RNA Secondary Structure Prediction Using Different Annealing Schedules. - Herbert H. Tsang; Kay C. Wiese (CIBCB, 2007)

Society Briefs - Bioinformatics and Bioengineering Technical Committee. - Kay C. Wiese (IEEE Comput. Intell. Mag., 2007)

SARNA-Predict-pk: Predicting RNA secondary structures including pseudoknots. - Herbert H. Tsang; Kay C. Wiese (CIBCB, 2008)

A hybrid clustering/evolutionary algorithm for RNA folding. - Kay C. Wiese; Andrew Hendriks (CIBCB, 2008)

RnaPredict-An Evolutionary Algorithm for RNA Secondary Structure Prediction. - Kay C. Wiese; Alain Deschênes; Andrew Hendriks (IEEE ACM Trans. Comput. Biol. Bioinform., 2008)

Integrating Thermodynamic and Observed-Frequency Data for Non-coding RNA Gene Search. - Scott F. Smith 002; Kay C. Wiese (Trans. Comp. Sys. Biology, 2008)

Considering Stem-Loops as Sequence Signals for Finding Ribosomal RNA Genes. - Kirt M. Noël; Kay C. Wiese (Computational Intelligence in Biomedicine and Bioinformatics, 2008)

RNA pseudoknot prediction via an evolutionary algorithm. - Kay C. Wiese; Andrew Hendriks (IEEE Congress on Evolutionary Computation, 2009)

Impact of an enhanced thermodynamic model on RnaPredict, an evolutionary algorithm for RNA secondary structure prediction. - Kay C. Wiese; Andrew Hendriks (IEEE Congress on Evolutionary Computation, 2009)

rnaDesign: Local search for RNA secondary structure design. - Denny C. Dai; Herbert H. Tsang; Kay C. Wiese (CIBCB, 2009)

Performance prediction for RNA design using parametric and non-parametric regression models. - Denny C. Dai; Kay C. Wiese (CIBCB, 2009)

SARNA-ensemble-predict: The effect of different dissimilarity metrics on a novel ensemble-based RNA secondary structure prediction algorithm. - Herbert H. Tsang; Kay C. Wiese (CIBCB, 2009)

A study of RNA secondary structure prediction using different mutation operators. - Herbert H. Tsang; Tiancheng Jiang; Kay C. Wiese; Christian Jacob 001 (IEEE Congress on Evolutionary Computation, 2010)

An exploration of individual RNA structural elements in RNA gene finding. - Nicholas George Erho; Kay C. Wiese (CIBCB, 2010)

Expanded study of efn2 thermodynamic model performance on RnaPredict, an evolutionary algorithm for RNA folding. - Kay C. Wiese; Andrew Hendriks (CIBCB, 2010)

SARNA-Predict: Accuracy Improvement of RNA Secondary Structure Prediction Using Permutation-Based Simulated Annealing. - Herbert H. Tsang; Kay C. Wiese (IEEE ACM Trans. Comput. Biol. Bioinform., 2010)

Improving splice-junctions classification employing a novel encoding schema and decision-tree. - Amin Yazdani Salekdeh; Kay C. Wiese (IEEE Congress on Evolutionary Computation, 2011)

Secondary structure element voting for RNA gene finding. - Nicholas George Erho; Kay C. Wiese (CIBCB, 2011)

Combined covariance model for non-coding RNA gene finding. - Wenbo Jiang 004; Kay C. Wiese (CIBCB, 2011)

Non-coding RNA gene finding with combined partial covariance models. - Wenbo Jiang 004; Kay C. Wiese (CIBCB, 2012)

Improving the Portability and Performance of jViz.RNA - A Dynamic RNA Visualization Software. - Boris Shabash; Kay C. Wiese; Edward Glen (PRIB, 2012)

pEvoSAT: a novel permutation based genetic algorithm for solving the boolean satisfiability problem. - Boris Shabash; Kay C. Wiese (GECCO, 2013)

A permutation based simulated annealing algorithm to predict pseudoknotted RNA secondary structures. - Herbert H. Tsang; Kay C. Wiese (Int. J. Bioinform. Res. Appl., 2015)

Diploidy in evolutionary algorithms for dynamic optimization problems: A best-chromosome-wins dominance mechanism. - Boris Shabash; Kay C. Wiese (Int. J. Intell. Comput. Cybern., 2015)

A study of different annealing schedules in SARNA-predict: A permutation based SA algorithm for RNA folding. - Herbert H. Tsang; Kay C. Wiese (Int. J. Intell. Comput. Cybern., 2015)

Numerical integration methods and layout improvements in the context of dynamic RNA visualization. - Boris Shabash; Kay C. Wiese (BMC Bioinform., 2017)

RNA Visualization: Relevance and the Current State-of-the-Art Focusing on Pseudoknots. - Boris Shabash; Kay C. Wiese (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

EvoNN: a customizable evolutionary neural network with heterogenous activation functions. - Boris Shabash; Kay C. Wiese (GECCO (Companion), 2018)

EvoDNN - An Evolutionary Deep Neural Network with Heterogeneous Activation Functions. - Peiyu Cui; Boris Shabash; Kay C. Wiese (CEC, 2019)

EvoDNN - Evolving Weights, Biases, and Activation Functions in a Deep Neural Network. - Peiyu Cui; Kay C. Wiese (CIBCB, 2022)

Continuous chromatin state feature annotation of the human epigenome. - Habib Daneshpajouh; Bowen Chen; Neda Shokraneh; Shohre Masoumi; Kay C. Wiese; Maxwell W. Libbrecht (Bioinform., 2022)

SigTools: exploratory visualization for genomic signals. - Shohre Masoumi; Maxwell W. Libbrecht; Kay C. Wiese (Bioinform., 2022)

Navitas/Optimus: A Novel Computational Tool for enhanced CRISPR/Cas Genome Editing. - Amirhossein Daneshpajouh; Megan Fowler; Kay C. Wiese (Canadian AI, 2023)

A Comparison of Machine Learning Models for Predicting CRISPR/Cas On-target Efficacy. - Megan Fowler; Amirhossein Daneshpajouh; Kay C. Wiese (CIBCB, 2023)

AGED-ViT: A Novel Transformer-Based Framework for Diagnosis of Alzheimer's Disease by Leveraging Gene Expression Data. - Albert Guo; Megan Fowler; Kay C. Wiese (CIBCB, 2024)