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Kay C. Wiese
Kay C. Wiese
Professor of Computing Science, Simon Fraser University
Verified email at sfu.ca
Title
Cited by
Cited by
Year
Automatic and strategic processing of threat cues in patients with chronic pain: a modified stroop evaluation
BS Snider, GJG Asmundson, KC Wiese
The Clinical journal of pain 16 (2), 144-154, 2000
992000
RnaPredict—an evolutionary algorithm for RNA secondary structure prediction
K Wiese, A Deschenes, A Hendriks
IEEE/ACM Transactions on Computational Biology and Bioinformatics 5 (1), 25-41, 2008
802008
Comparison of P-RnaPredict and mfold—algorithms for RNA secondary structure prediction
KC Wiese, A Hendriks
Bioinformatics 22 (8), 934-942, 2006
712006
A permutation-based genetic algorithm for the RNA folding problem: a critical look at selection strategies, crossover operators, and representation issues
KC Wiese, E Glen
Biosystems 72 (1-2), 29-41, 2003
702003
jViz. Rna-A Java tool for RNA secondary structure visualization
KC Wiese, E Glen, A Vasudevan
IEEE transactions on nanobioscience 4 (3), 212-218, 2005
692005
SARNA-predict: accuracy improvement of RNA secondary structure prediction using permutation-based simulated annealing
HH Tsang, KC Wiese
IEEE/ACM Transactions on Computational Biology and Bioinformatics 7 (4), 727-740, 2008
512008
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
A Deschênes, KC Wiese
Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No …, 2004
352004
Comparison of dynamic programming and evolutionary algorithms for RNA secondary structure prediction
A Deschênes, KC Wiese, J Poonian
2004 Symposium on Computational Intelligence in Bioinformatics and …, 2004
30*2004
Keep–Best Reproduction: A Local Family Competition Selection Strategy and the Environment it Flourishes in
KC Wiese, SD Goodwin
Constraints 6, 399-422, 2001
302001
Keep-best reproduction: a selection strategy for genetic algorithms
K Wiese, SD Goodwin
Proceedings of the 1998 ACM symposium on Applied Computing, 343-348, 1998
301998
Permutation-based RNA secondary structure prediction via a genetic algorithm
KC Wiese, A Deschênes, E Glen
The 2003 Congress on Evolutionary Computation, 2003. CEC'03. 1, 335-342, 2003
292003
A Permutation Based Genetic Algorithm for RNA Secondary Structure Prediction.
KC Wiese, E Glen
HIS 87, 173-182, 2002
292002
jViz. Rna-An interactive graphical tool for visualizing RNA secondary structure including pseudoknots
KC Wiese, E Glen
19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06), 659-664, 2006
272006
SARNA-Predict: A study of RNA secondary structure prediction using different annealing schedules
HH Tsang, KC Wiese
2007 IEEE Symposium on Computational Intelligence and Bioinformatics and …, 2007
262007
The impact of pseudorandom number quality on P-RnaPredict, a parallel genetic algorithm for RNA secondary structure prediction
KC Wiese, A Hendriks, A Deschênes, BB Youssef
Proceedings of the 7th annual conference on Genetic and evolutionary …, 2005
22*2005
Convergence characteristics of keep-best reproduction
K Wiese, SD Goodwin
Proceedings of the 1999 ACM symposium on Applied computing, 312-318, 1999
22*1999
SARNA-Predict: A simulated annealing algorithm for RNA secondary structure prediction
HH Tsang, KC Wiese
2006 IEEE Symposium on Computational Intelligence and Bioinformatics and …, 2006
212006
SARNA-Predict-pk: Predicting RNA secondary structures including pseudoknots
HH Tsang, KC Wiese
2008 IEEE Symposium on Computational Intelligence in Bioinformatics and …, 2008
19*2008
The significance of thermodynamic models in the accuracy improvement of RNA secondary structure prediction using permutation-based simulated annealing
HH Tsang, KC Wiese
2007 IEEE Congress on Evolutionary Computation, 3879-3885, 2007
192007
Evodnn-an evolutionary deep neural network with heterogeneous activation functions
P Cui, B Shabash, KC Wiese
2019 IEEE Congress on Evolutionary Computation (CEC), 2362-2369, 2019
162019
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