Your selections:
Modified global k-means algorithm for clustering in gene expression data sets
- Bagirov, Adil, Mardaneh, Karim
- Ghosh, Ranadhir, Ghosh, Moumita, Yearwood, John, Bagirov, Adil
Determining regularization parameters for derivative free neural learning
- Ghosh, Ranadhir, Ghosh, Moumita, Yearwood, John, Bagirov, Adil
Fusion strategies for neural learning algorithms using evolutionary and discrete gradient approaches
- Ghosh, Ranadhir, Yearwood, John, Ghosh, Moumita, Bagirov, Adil
A hybrid neural learning algorithm combining evolutionary algorithm with discrete gradient method
- Ghosh, Ranadhir, Yearwood, John, Bagirov, Adil
Improving risk grouping rules for prostate cancer patients with optimization
- Churilov, Leonid, Bagirov, Adil, Schwartz, Daniel, Smith, Kate, Dally, Michael
Optimization of feed forward MLPs using the discrete gradient method
- Bagirov, Adil, Yearwood, John, Ghosh, Ranadhir
- Ghosh, Moumita, Ugon, Julien, Ghosh, Ranadhir, Bagirov, Adil
An optimization-based approach to patient grouping for acute healthcare in Australia
- Bagirov, Adil, Churilov, Leonid
Optimization based clustering algorithms in multicast group hierarchies
- Jia, Long, Ouveysi, Iradj, Rubinov, Alex, Bagirov, Adil
Parallelization of the discrete gradient method of non-smooth optimization and its applications
- Beliakov, Gleb, Tobon, Monsalve, Bagirov, Adil
Penalty functions with a small penalty parameter : Numerical experiments
- Bagirov, Adil, Rubinov, Alex
The discrete gradient evolutionary strategy method for global optimization
- Abbas, Hussein, Bagirov, Adil, Zhang, Jiapu
A global optimisation approach to classification in medical diagnosis and prognosis
- Bagirov, Adil, Rubinov, Alex, Yearwood, John, Stranieri, Andrew
Nonsmooth optimisation approach to data classification
- Bagirov, Adil, Soukhoroukova, Nadejda
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