Kay C. Wiese

64 papers A 2B 14C 20Misc 4Journal 14Unranked 9
YearRankTypeTitle / Venue / Authors
2024 C conf
AGED-ViT: A Novel Transformer-Based Framework for Diagnosis of Alzheimer's Disease by Leveraging Gene Expression Data.
CIBCB
Albert Guo, Megan Fowler, Kay C. Wiese
2023 C conf
A Comparison of Machine Learning Models for Predicting CRISPR/Cas On-target Efficacy.
CIBCB
Megan Fowler, Amirhossein Daneshpajouh, Kay C. Wiese
2023 — conf
Navitas/Optimus: A Novel Computational Tool for enhanced CRISPR/Cas Genome Editing.
Canadian AI
Amirhossein Daneshpajouh, Megan Fowler, Kay C. Wiese
2022 J jnl
Continuous chromatin state feature annotation of the human epigenome.
Bioinform.
Habib Daneshpajouh, Bowen Chen, Neda Shokraneh, Shohre Masoumi, Kay C. Wiese, Maxwell W. Libbrecht
2022 C conf
EvoDNN - Evolving Weights, Biases, and Activation Functions in a Deep Neural Network.
CIBCB
Peiyu Cui, Kay C. Wiese
2022 J jnl
SigTools: exploratory visualization for genomic signals.
Bioinform.
Shohre Masoumi, Maxwell W. Libbrecht, Kay C. Wiese
2019 B conf
EvoDNN - An Evolutionary Deep Neural Network with Heterogeneous Activation Functions.
CEC
Peiyu Cui, Boris Shabash, Kay C. Wiese
2018 — conf
EvoNN: a customizable evolutionary neural network with heterogenous activation functions.
GECCO (Companion)
Boris Shabash, Kay C. Wiese
2017 J jnl
Numerical integration methods and layout improvements in the context of dynamic RNA visualization.
BMC Bioinform.
Boris Shabash, Kay C. Wiese
2017 J jnl
RNA Visualization: Relevance and the Current State-of-the-Art Focusing on Pseudoknots.
IEEE ACM Trans. Comput. Biol. Bioinform.
Boris Shabash, Kay C. Wiese
2015 J jnl
A permutation based simulated annealing algorithm to predict pseudoknotted RNA secondary structures.
Int. J. Bioinform. Res. Appl.
Herbert H. Tsang, Kay C. Wiese
2015 J jnl
A study of different annealing schedules in SARNA-predict: A permutation based SA algorithm for RNA folding.
Int. J. Intell. Comput. Cybern.
Herbert H. Tsang, Kay C. Wiese
2015 J jnl
Diploidy in evolutionary algorithms for dynamic optimization problems: A best-chromosome-wins dominance mechanism.
Int. J. Intell. Comput. Cybern.
Boris Shabash, Kay C. Wiese
2013 A conf
pEvoSAT: a novel permutation based genetic algorithm for solving the boolean satisfiability problem.
GECCO
Boris Shabash, Kay C. Wiese
2012 — conf
Improving the Portability and Performance of jViz.RNA - A Dynamic RNA Visualization Software.
PRIB
Boris Shabash, Kay C. Wiese, Edward Glen
2012 C conf
Non-coding RNA gene finding with combined partial covariance models.
CIBCB
Wenbo Jiang, Kay C. Wiese
2011 C conf
Combined covariance model for non-coding RNA gene finding.
CIBCB
Wenbo Jiang, Kay C. Wiese
2011 B conf
Improving splice-junctions classification employing a novel encoding schema and decision-tree.
IEEE Congress on Evolutionary Computation
Amin Yazdani Salekdeh, Kay C. Wiese
2011 C conf
Secondary structure element voting for RNA gene finding.
CIBCB
Nicholas George Erho, Kay C. Wiese
2010 B conf
A study of RNA secondary structure prediction using different mutation operators.
IEEE Congress on Evolutionary Computation
Herbert H. Tsang, Tiancheng Jiang, Kay C. Wiese, Christian Jacob
2010 C conf
An exploration of individual RNA structural elements in RNA gene finding.
CIBCB
Nicholas George Erho, Kay C. Wiese
2010 C conf
Expanded study of efn2 thermodynamic model performance on RnaPredict, an evolutionary algorithm for RNA folding.
CIBCB
Kay C. Wiese, Andrew Hendriks
2010 J jnl
SARNA-Predict: Accuracy Improvement of RNA Secondary Structure Prediction Using Permutation-Based Simulated Annealing.
IEEE ACM Trans. Comput. Biol. Bioinform.
Herbert H. Tsang, Kay C. Wiese
2009 B conf
Impact of an enhanced thermodynamic model on RnaPredict, an evolutionary algorithm for RNA secondary structure prediction.
IEEE Congress on Evolutionary Computation
Kay C. Wiese, Andrew Hendriks
2009 C conf
Performance prediction for RNA design using parametric and non-parametric regression models.
CIBCB
Denny C. Dai, Kay C. Wiese
2009 B conf
RNA pseudoknot prediction via an evolutionary algorithm.
IEEE Congress on Evolutionary Computation
Kay C. Wiese, Andrew Hendriks
2009 C conf
SARNA-ensemble-predict: The effect of different dissimilarity metrics on a novel ensemble-based RNA secondary structure prediction algorithm.
CIBCB
Herbert H. Tsang, Kay C. Wiese
2009 C conf
rnaDesign: Local search for RNA secondary structure design.
CIBCB
Denny C. Dai, Herbert H. Tsang, Kay C. Wiese
2008 C conf
A hybrid clustering/evolutionary algorithm for RNA folding.
CIBCB
Kay C. Wiese, Andrew Hendriks
2008 — ch.
Considering Stem-Loops as Sequence Signals for Finding Ribosomal RNA Genes.
Computational Intelligence in Biomedicine and Bioinformatics
Kirt M. Noël, Kay C. Wiese
2008 J jnl
Integrating Thermodynamic and Observed-Frequency Data for Non-coding RNA Gene Search.
Trans. Comp. Sys. Biology
Scott F. Smith, Kay C. Wiese
2008 J jnl
RnaPredict-An Evolutionary Algorithm for RNA Secondary Structure Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform.
Kay C. Wiese, Alain Deschênes, Andrew Hendriks
2008 C conf
SARNA-Predict-pk: Predicting RNA secondary structures including pseudoknots.
CIBCB
Herbert H. Tsang, Kay C. Wiese
2007 — conf
Improved Covariance Model Parameter Estimation Using RNA Thermodynamic Properties.
BIONETICS
Scott F. Smith, Kay C. Wiese
2007 C conf
SARNA-Predict: A Study of RNA Secondary Structure Prediction Using Different Annealing Schedules.
CIBCB
Herbert H. Tsang, Kay C. Wiese
2007 J jnl
Society Briefs - Bioinformatics and Bioengineering Technical Committee.
IEEE Comput. Intell. Mag.
Kay C. Wiese
2007 B conf
The significance of thermodynamic models in the accuracy improvement of RNA secondary structure prediction using permutation-based simulated annealing.
IEEE Congress on Evolutionary Computation
Herbert H. Tsang, Kay C. Wiese
2006 B conf
A Detailed Analysis of Parallel Speedup in P-RnaPredict - An Evolutionary Algorithm for RNA Secondary Structure Prediction.
IEEE Congress on Evolutionary Computation
Kay C. Wiese, Andrew Hendriks
2006 C conf
Analysis of Thermodynamic Models and Performance in RnaPredict - An Evolutionary Algorithm for RNA Folding.
CIBCB
Kay C. Wiese, Andrew Hendriks, Alain Deschênes
2006 J jnl
Comparison of
Bioinform.
Kay C. Wiese, Andrew Hendriks
2006 B conf
Graph Drawing Tools for Bioinformatics Research: An Overview.
CBMS
Kay C. Wiese, Christina Eicher
2006 J jnl
IEEE/CIS Tour de China [Family Corner].
IEEE Comput. Intell. Mag.
Kay C. Wiese
2006 C conf
SARNA-Predict: A Simulated Annealing Algorithm for RNA Secondary Structure Prediction.
CIBCB
Herbert H. Tsang, Kay C. Wiese
2006 B conf
jViz.Rna - An Interactive Graphical Tool for Visualizing RNA Secondary Structure Including Pseudoknots.
CBMS
Kay C. Wiese, Edward Glen
2005 B conf
Algorithms for RNA folding: a comparison of dynamic programming and parallel evolutionary algorithms.
Congress on Evolutionary Computation
Kay C. Wiese, Andrew Hendriks, Jagdeep Poonian
2005 B conf
Significance of randomness in P-RnaPredict - a parallel evolutionary algorithm for RNA folding.
Congress on Evolutionary Computation
Kay C. Wiese, Andrew Hendriks, Alain Deschênes, Belgacem Ben Youssef
2005 A conf
The impact of pseudorandom number quality on
GECCO
Kay C. Wiese, Andrew Hendriks, Alain Deschênes, Belgacem Ben Youssef
2004 C conf
A parallel evolutionary algorithm for RNA secondary structure prediction using stacking-energies (INN and INN-HB).
CIBCB
Andrew Hendriks, Alain Deschênes, Kay C. Wiese
2004 — conf
Comparison of Parallel and Serial Genetic Algorithms for RNA Secondary Structure Prediction.
Canadian AI
Andrew Hendriks, Kay C. Wiese, Edward Glen
2004 — conf
Comparison of Permutation-Based and Binary Representation in a Genetic Algorithm for RNA Secondary Structure Prediction.
Canadian AI
Alain Deschênes, Kay C. Wiese, Edward Glen
2004 C conf
Comparison of dynamic programming and evolutionary algorithms for RNA secondary structure prediction.
CIBCB
Alain Deschênes, Kay C. Wiese, Jagdeep Poonian
2004 — conf
Exploring the Use of Stem-Loop Characteristics for Pinpointing Structural RNA Genes.
CSB
Kirt M. Noël, Kay C. Wiese
2004 — conf
Genetic Algorithm Based OSPF Network Routing Using LEDA.
Canadian AI
Lenny Tang, Kay C. Wiese, Vive Kumar
2004 B conf
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
Alain Deschênes, Kay C. Wiese
2003 B conf
A distributed genetic algorithm for RNA secondary structure prediction.
IEEE Congress on Evolutionary Computation
Andrew Hendriks, Kay C. Wiese, Edward Glen, Alain Deschênes
2003 B conf
Permutation-based RNA secondary structure prediction via a genetic algorithm.
IEEE Congress on Evolutionary Computation
Kay C. Wiese, Alain Deschênes, Edward Glen
2003 C conf
RNA Structure as Permutation: A GA Approach Comparing Different Genetic Sequencing Operators.
ISMIS
Kay C. Wiese, Edward Glen
2002 C conf
A Permutation Based Genetic Algorithm for RNA Secondary Structure Prediction.
HIS
Kay C. Wiese, Edward Glen
2001 J jnl
Keep-Best Reproduction: A Local Family Competition Selection Strategy and the Environment it Flourishes in.
Constraints An Int. J.
Kay C. Wiese, Scott D. Goodwin
2000 Misc conf
ASERC - A Genetic Sequencing Operator for Asymmetric Permutation Problems.
AI
Kay C. Wiese, Scott D. Goodwin, Sivakumar Nagarajan
1999 Misc conf
Convergence Characteristics of Keep-Best Reproduction.
SAC
Kay C. Wiese, Scott D. Goodwin
1998 Misc conf
Keep-best reproduction: a selection strategy for genetic algorithms.
SAC
Kay C. Wiese, Scott D. Goodwin
1998 Misc conf
Parallel Genetic Algorithms for Constrained Ordering Problems.
FLAIRS
Kay C. Wiese, Sivakumar Nagarajan, Scott D. Goodwin
1998 — conf
The Effect of Genetic Operator Probabilities and Selection Strategies on the Performance of a Genetic Algorithm.
Canadian AI
Kay C. Wiese, Scott D. Goodwin