| Title |
Published |
SHARCNET Authors |
Area |
|
1.
Prediction of Imminent Species' Extinction in EcoSim
|
2011 |
Hosseini M., Gras R.
|
Artificial Intelligence, Machine Learning, Deep Learning
|
|
2.
Speciation Prediction based on Spatial Distribution and Spatiotemporal Information from an Individual-Based Ecosystem Simulation
|
2011 |
Mashayekhi M., Gras R.
|
Artificial Intelligence, Machine Learning, Deep Learning
|
|
3.
Correlation between Genetic Diversity and Fitness in a Predator-Prey Ecosystem Simulation
|
2011 |
Khater M., Salehi E., Gras R.
|
Artificial Intelligence, Machine Learning, Deep Learning
|
|
4.
EcoSim: an individual-based platform for studying evolution
|
2011 |
Gras R., Golestani A., Hosseini M., Khater M., Majdabadi Farahani Y., Mashayekhi M., Sina M., Sajadi A., Salehi E. and Scott R.
|
Artificial Intelligence, Machine Learning, Deep Learning
|
|
5.
Efficient EDA for Large Opimization Problems via Constraining the Search Space of Models
|
2011 |
Salehi E., Gras R.
|
Artificial Intelligence, Machine Learning, Deep Learning
|
|
6.
Multifractal Phenomena in EcoSim, a Large Scale Individual-Based Ecosystem Simulation
|
2011 |
Golestani A., Gras R.
|
Artificial Intelligence, Machine Learning, Deep Learning
|
|
7.
43 genes support the lungfish-coelacanth grouping related to the closest living relative of tetrapods with the Bayesian method under the coalescence model
|
2011 |
Shan Y., Gras R.
|
Artificial Intelligence, Machine Learning, Deep Learning
|
|
8.
Regularity Analysis of an individual-based Ecosystem Simulation
|
2011 |
Golestani A., Gras R.
|
Artificial Intelligence, Machine Learning, Deep Learning
|
|
9.
Estimation of Distribution Algorithms in Gene Expression Data Analysis
|
2011 |
Salehi E., Gras R.
|
Artificial Intelligence, Machine Learning, Deep Learning
|
|
10.
Computation of population spatial distribution in individual-based ecosystem simulation
|
2011 |
Md Ibne S., Gras R.
|
Artificial Intelligence, Machine Learning, Deep Learning
|
|
11.
How dependencies affect the capability of several feature selection approaches to extract of the key features
|
2010 |
Yang Q., Gras R.
|
Artificial Intelligence, Machine Learning, Deep Learning
|
|
12.
Optimal Decoding and Minimal Length for the Non-Unique Oligonucleotide Probe Selection Problem
|
2010 |
Soltan Ghoraie L., Gras R., Wang L., Ngom A.
|
Artificial Intelligence, Machine Learning, Deep Learning
|
|
13.
Selection Based Heuristics for the Non-Unique Oligonucleotide Probe Selection Problem in Microarray Design
|
2010 |
A. Ngom, L. Rueda, L. Wang and R. Gras
|
Artificial Intelligence, Machine Learning, Deep Learning
|
|
14.
Complexity and Chaos Analysis of a Predator-Prey Ecosystem Simulation
|
2010 |
Majdabadi Farahani Y., Golestani A., Gras R.
|
Artificial Intelligence, Machine Learning, Deep Learning
|
|
15.
K-Means Clustering as a Speciation Method within an Individual-Based Evolving Predator-Prey Ecosystem Simulation
|
2010 |
Aspinal A., Gras R.
|
Artificial Intelligence, Machine Learning, Deep Learning
|
|
16.
Genome-wide EST data mining approaches to resolving incongruence of molecular phylogenies
|
2010 |
Shan Y., Gras R.
|
Artificial Intelligence, Machine Learning, Deep Learning
|
|
17.
Using feature selection approaches to find the dependent features
|
2010 |
Yang Q., Salehi E., Gras R.
|
Artificial Intelligence, Machine Learning, Deep Learning
|
|
18.
Studying species abundance distributions in an individual-based simulated ecosystem through Fisher's log-series
|
2010 |
Devaurs D., Gras R.
|
Artificial Intelligence, Machine Learning, Deep Learning
|
|
19.
A Statistical Implicative Analysis Based Algorithm and MMPC Algorithm for the Detecting Multiple Dependencie
|
2010 |
Salehi E., Nyayachavadi J., Gras R.
|
Artificial Intelligence, Machine Learning, Deep Learning
|
|
20.
Une étude comparative pour la détection de dépendances multiples
|
2009 |
Elham Salehi, Jayashree Nyayachavadi and Robin Gras
|
Artificial Intelligence, Machine Learning, Deep Learning
|
