Kay C. Wiese

Publication Activity (10 Years)

Years Active: 1998-2023
Publications (10 Years): 9

Top Topics

Genetic Algorithm

Simulated Annealing Algorithm

Dynamic Optimization Problems

Secondary Structure

Top Venues

Int. J. Intell. Comput. Cybern.

GECCO (Companion)

Publications

Amirhossein Daneshpajouh, Megan Fowler, Kay C. Wiese
Navitas/Optimus: A Novel Computational Tool for enhanced CRISPR/Cas Genome Editing. Canadian AI (2023)
Megan Fowler, Amirhossein Daneshpajouh, Kay C. Wiese
A Comparison of Machine Learning Models for Predicting CRISPR/Cas On-target Efficacy. CIBCB (2023)
Shohre Masoumi, Maxwell W. Libbrecht, Kay C. Wiese
SigTools: exploratory visualization for genomic signals. Bioinform. 38 (4) (2022)
Peiyu Cui, Kay C. Wiese
EvoDNN - Evolving Weights, Biases, and Activation Functions in a Deep Neural Network. CIBCB (2022)
Habib Daneshpajouh, Bowen Chen, Neda Shokraneh, Shohre Masoumi, Kay C. Wiese, Maxwell W. Libbrecht
Continuous chromatin state feature annotation of the human epigenome. Bioinform. 38 (11) (2022)
Peiyu Cui, Boris Shabash, Kay C. Wiese
EvoDNN - An Evolutionary Deep Neural Network with Heterogeneous Activation Functions. CEC (2019)
Boris Shabash, Kay C. Wiese
EvoNN: a customizable evolutionary neural network with heterogenous activation functions. GECCO (Companion) (2018)
Boris Shabash, Kay C. Wiese
Numerical integration methods and layout improvements in the context of dynamic RNA visualization. BMC Bioinform. 18 (1) (2017)
Boris Shabash, Kay C. Wiese
RNA Visualization: Relevance and the Current State-of-the-Art Focusing on Pseudoknots. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (3) (2017)
Herbert H. Tsang, Kay C. Wiese
A permutation based simulated annealing algorithm to predict pseudoknotted RNA secondary structures. Int. J. Bioinform. Res. Appl. 11 (5) (2015)
Boris Shabash, Kay C. Wiese
Diploidy in evolutionary algorithms for dynamic optimization problems: A best-chromosome-wins dominance mechanism. Int. J. Intell. Comput. Cybern. 8 (4) (2015)
Herbert H. Tsang, Kay C. Wiese
A study of different annealing schedules in SARNA-predict: A permutation based SA algorithm for RNA folding. Int. J. Intell. Comput. Cybern. 8 (2) (2015)
Boris Shabash, Kay C. Wiese
pEvoSAT: a novel permutation based genetic algorithm for solving the boolean satisfiability problem. GECCO (2013)
Wenbo Jiang, Kay C. Wiese
Non-coding RNA gene finding with combined partial covariance models. CIBCB (2012)
Boris Shabash, Kay C. Wiese, Edward Glen
Improving the Portability and Performance of jViz.RNA - A Dynamic RNA Visualization Software. PRIB (2012)
Nicholas George Erho, Kay C. Wiese
Secondary structure element voting for RNA gene finding. CIBCB (2011)
Wenbo Jiang, Kay C. Wiese
Combined covariance model for non-coding RNA gene finding. CIBCB (2011)
Amin Yazdani Salekdeh, Kay C. Wiese
Improving splice-junctions classification employing a novel encoding schema and decision-tree. IEEE Congress on Evolutionary Computation (2011)
Nicholas George Erho, Kay C. Wiese
An exploration of individual RNA structural elements in RNA gene finding. CIBCB (2010)
Kay C. Wiese, Andrew Hendriks
Expanded study of efn2 thermodynamic model performance on RnaPredict, an evolutionary algorithm for RNA folding. CIBCB (2010)
Herbert H. Tsang, Tiancheng Jiang, Kay C. Wiese, Christian Jacob
A study of RNA secondary structure prediction using different mutation operators. IEEE Congress on Evolutionary Computation (2010)
Herbert H. Tsang, Kay C. Wiese
SARNA-Predict: Accuracy Improvement of RNA Secondary Structure Prediction Using Permutation-Based Simulated Annealing. IEEE ACM Trans. Comput. Biol. Bioinform. 7 (4) (2010)
Denny C. Dai, Herbert H. Tsang, Kay C. Wiese
rnaDesign: Local search for RNA secondary structure design. CIBCB (2009)
Herbert H. Tsang, Kay C. Wiese
SARNA-ensemble-predict: The effect of different dissimilarity metrics on a novel ensemble-based RNA secondary structure prediction algorithm. CIBCB (2009)
Kay C. Wiese, Andrew Hendriks
Impact of an enhanced thermodynamic model on RnaPredict, an evolutionary algorithm for RNA secondary structure prediction. IEEE Congress on Evolutionary Computation (2009)
Kay C. Wiese, Andrew Hendriks
RNA pseudoknot prediction via an evolutionary algorithm. IEEE Congress on Evolutionary Computation (2009)
Denny C. Dai, Kay C. Wiese
Performance prediction for RNA design using parametric and non-parametric regression models. CIBCB (2009)
Herbert H. Tsang, Kay C. Wiese
SARNA-Predict-pk: Predicting RNA secondary structures including pseudoknots. CIBCB (2008)
Kay C. Wiese, Alain Deschênes, Andrew Hendriks
RnaPredict-An Evolutionary Algorithm for RNA Secondary Structure Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 5 (1) (2008)
Scott F. Smith, Kay C. Wiese
Integrating Thermodynamic and Observed-Frequency Data for Non-coding RNA Gene Search. Trans. Comp. Sys. Biology 10 (2008)
Kay C. Wiese, Andrew Hendriks
A hybrid clustering/evolutionary algorithm for RNA folding. CIBCB (2008)
Scott F. Smith, Kay C. Wiese
Improved Covariance Model Parameter Estimation Using RNA Thermodynamic Properties. BIONETICS (2007)
Kay C. Wiese
Society Briefs - Bioinformatics and Bioengineering Technical Committee. IEEE Comput. Intell. Mag. 2 (2) (2007)
Herbert H. Tsang, Kay C. Wiese
The significance of thermodynamic models in the accuracy improvement of RNA secondary structure prediction using permutation-based simulated annealing. IEEE Congress on Evolutionary Computation (2007)
Herbert H. Tsang, Kay C. Wiese
SARNA-Predict: A Study of RNA Secondary Structure Prediction Using Different Annealing Schedules. CIBCB (2007)
Kay C. Wiese, Christina Eicher
Graph Drawing Tools for Bioinformatics Research: An Overview. CBMS (2006)
Kay C. Wiese, Edward Glen
jViz.Rna - An Interactive Graphical Tool for Visualizing RNA Secondary Structure Including Pseudoknots. CBMS (2006)
Kay C. Wiese, Andrew Hendriks
- algorithms for RNA secondary structure prediction. Bioinform. 22 (8) (2006)
H. Alexander Ebhardt, Kay C. Wiese, Peter J. Unrau
: automated analysis and storage of small RNA cloning data using a dynamic web server. BMC Bioinform. 7 (2006)
Kay C. Wiese
IEEE/CIS Tour de China [Family Corner]. IEEE Comput. Intell. Mag. 1 (4) (2006)
Kay C. Wiese, Andrew Hendriks
A Detailed Analysis of Parallel Speedup in P-RnaPredict - An Evolutionary Algorithm for RNA Secondary Structure Prediction. IEEE Congress on Evolutionary Computation (2006)
Herbert H. Tsang, Kay C. Wiese
SARNA-Predict: A Simulated Annealing Algorithm for RNA Secondary Structure Prediction. CIBCB (2006)
Kay C. Wiese, Andrew Hendriks, Alain Deschênes
Analysis of Thermodynamic Models and Performance in RnaPredict - An Evolutionary Algorithm for RNA Folding. CIBCB (2006)
Kay C. Wiese, Andrew Hendriks, Alain Deschênes, Belgacem Ben Youssef
, a parallel genetic algorithm for RNA secondary structure prediction. GECCO (2005)
Kay C. Wiese, Andrew Hendriks, Jagdeep Poonian
Algorithms for RNA folding: a comparison of dynamic programming and parallel evolutionary algorithms. Congress on Evolutionary Computation (2005)
Kay C. Wiese, Andrew Hendriks, Alain Deschênes, Belgacem Ben Youssef
Significance of randomness in P-RnaPredict - a parallel evolutionary algorithm for RNA folding. Congress on Evolutionary Computation (2005)
Andrew Hendriks, Kay C. Wiese, Edward Glen
Comparison of Parallel and Serial Genetic Algorithms for RNA Secondary Structure Prediction. Canadian Conference on AI (2004)
Kirt M. Noël, Kay C. Wiese
Exploring the Use of Stem-Loop Characteristics for Pinpointing Structural RNA Genes. CSB (2004)
Lenny Tang, Kay C. Wiese, Vive Kumar
Genetic Algorithm Based OSPF Network Routing Using LEDA. Canadian Conference on AI (2004)
Alain Deschênes, Kay C. Wiese
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. IEEE Congress on Evolutionary Computation (2004)
Alain Deschênes, Kay C. Wiese, Edward Glen
Comparison of Permutation-Based and Binary Representation in a Genetic Algorithm for RNA Secondary Structure Prediction. Canadian Conference on AI (2004)
Alain Deschênes, Kay C. Wiese, Jagdeep Poonian
Comparison of dynamic programming and evolutionary algorithms for RNA secondary structure prediction. CIBCB (2004)
Andrew Hendriks, Alain Deschênes, Kay C. Wiese
A parallel evolutionary algorithm for RNA secondary structure prediction using stacking-energies (INN and INN-HB). CIBCB (2004)
Kay C. Wiese, Edward Glen
RNA Structure as Permutation: A GA Approach Comparing Different Genetic Sequencing Operators. ISMIS (2003)
Kay C. Wiese, Alain Deschênes, Edward Glen
Permutation-based RNA secondary structure prediction via a genetic algorithm. IEEE Congress on Evolutionary Computation (2003)
Andrew Hendriks, Kay C. Wiese, Edward Glen, Alain Deschênes
A distributed genetic algorithm for RNA secondary structure prediction. IEEE Congress on Evolutionary Computation (2003)
Kay C. Wiese, Edward Glen
A Permutation Based Genetic Algorithm for RNA Secondary Structure Prediction. HIS (2002)
Kay C. Wiese, Scott D. Goodwin
Keep-Best Reproduction: A Local Family Competition Selection Strategy and the Environment it Flourishes in. Constraints An Int. J. 6 (4) (2001)
Kay C. Wiese, Scott D. Goodwin, Sivakumar Nagarajan
ASERC - A Genetic Sequencing Operator for Asymmetric Permutation Problems. Canadian Conference on AI (2000)
Kay C. Wiese, Scott D. Goodwin
Convergence Characteristics of Keep-Best Reproduction. SAC (1999)
Kay C. Wiese, Scott D. Goodwin
Keep-best reproduction: a selection strategy for genetic algorithms. SAC (1998)
Kay C. Wiese, Sivakumar Nagarajan, Scott D. Goodwin
Parallel Genetic Algorithms for Constrained Ordering Problems. FLAIRS Conference (1998)
Kay C. Wiese, Scott D. Goodwin
The Effect of Genetic Operator Probabilities and Selection Strategies on the Performance of a Genetic Algorithm. Canadian Conference on AI (1998)