Global optimization in the summarization of text documents
A global optimization approach to classification
A method of truncated codifferential with application to some problems of cluster analysis
A method for minimization of quasidifferentiable functions
A heuristic algorithm for feature selection based on optimization techniques
Penalty functions with a small penalty parameter
Lagrange-type functions in constrained optimization
Optimization based clustering algorithms in multicast group hierarchies
- Conference Proceedings
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Unsupervised and supervised data classification via nonsmooth and global optimization
An algorithm for clustering based on non-smooth optimization techniques
Continuous subdifferential approximations and their applications
Hybrid simulated annealing and discrete gradient method for global optimization
- Conference Proceedings
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Penalty functions with a small penalty parameter: Numerical experiments
- Conference Proceedings
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An optimization-based approach to patient grouping for acute healthcare in Australia
- Conference Proceedings
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Parallelization of the discrete gradient method of non-smooth optimization and its applications
- Conference Proceedings
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Comparative analysis of the cutting angle and simulated annealing methods in global optimization
Cutting angle method and a local search
New algorithms for multi-class cancer diagnosis using tumor gene expression signatures
The discrete gradient evolutionary strategy method for global optimization
Optimization of feed forward MLPs using the discrete gradient method
- Conference Proceedings
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Improving risk grouping rules for prostate cancer patients with optimization
- Conference Proceedings
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A hybrid neural learning algorithm combining evolutionary algorithm with discrete gradient method
- Conference Proceedings
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Solving Euclidian travelling salesman problem using discrete-gradient based clustering and kohonen neural network
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Data mining with combined use of optimization techniques and self-organizing maps for improving risk grouping rules: application to prostate cancer patients
An algorithm for minimizing clustering functions
On minimization of max-min functions
- Book Chapters
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Supervised data classification via max-min separability
- Book Chapters
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Local optimization method with global multidimensional search
Hybridization of neural learning algorithms using evolutionary and discrete gradient approaches
Comparative analysis of genetic algorithm vs. evolutionary algorithm for hybrid models with discrete gradient method for artificial neural network
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Determining regularization parameters for derivative free neural learning
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Comparative analysis of genetic algorithm, simulated annealing and cutting angle method for artificial neural networks
- Book Chapters
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Fusion strategies for neural learning algorithms using evolutionary and discrete gradient approaches
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A new nonsmooth optimization algorithm for minimum sum-of-squares clustering problems
Piecewise Partially Separable Functions and a Derivative-free Algorithm for Large Scale Nonsmooth Optimization
A derivative-free method for linearly constrained nonsmooth optimization
A hybrid neural learning algorithm using evolutionary learning and derivative free local search method
Modified global k-means algorithm for clustering in gene expression data sets
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Application of derivative free methods for production optimization
Non-smooth optimization methods for computation of the conditional value-at-risk and portfolio optimization
Separation of two sets by piecewise linear function
Clustering via D.C. optimization
- Book Chapters
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Global optimization of marginal functions with applications to economic equilibrium
A global optimization approach to classification in medical diagnosis and prognosis
- Conference Proceedings
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Discrete gradient method in nonsmooth optimization
- Conference Proceedings
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Integrated production system optimization using global optimization techniques
A nonsmooth optimization approach to sensor network localization
Visual Tools for Analysing Evolution, Emergence and Error in Data Streams
An approximate subgradient algorithm for unconstrained nonsmooth, nonconvex optimization
Discrete Gradient Method: Derivative-Free Method for Nonsmooth Optimization
Modified global k-means algorithm for minimum sum-of-squares clustering problems
Optimisation of operations of a water distribution system for reduced power usage
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Continuous Approximations to Subdifferentials
- Book Chapters
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Derivative-Free Methods for Non-Smooth Optimization
- Book Chapters
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Global Optimization: Cutting Angle Method
- Book Chapters
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Nonsmooth Optimization Approach to Clustering
- Book Chapters
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Estimation of a Regression Function by Maxima of Minima of Linear Functions
A new modified global k-means algorithm for clustering large data sets
- Conference Proceedings
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An incremental approach for the classification of a piecewise linear classifier
- Conference Proceedings
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Introduction to Nonsmooth Optimization: Theory, Practice and Software
A multidimensional descent method for global optimization
Optimization methods and the K-committees algorithm for clustering of sequence data
Comments on: Optimization and data mining in medicine
An algorithm for the estimation of a regression function by continuous piecewise linear functions
An L2-boosting algorithm for estimation of a regression function
Truncated codifferential method for nonsmooth convex optimization
A quasisecant method for minimizing nonsmooth functions
Application of optimisation-based data mining techniques to tobacco control dataset
Adaptation to water shortage through the implementation of a unique pipeline system in Victoria, Australia
- Conference Proceedings
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Truncated codifferential method for linearly constrained nonsmooth optimization
- Conference Proceedings
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Cluster analysis of a tobacco control data set
A generalized subgradient method with piecewise linear subproblem
Fast modified global k-means algorithm for incremental cluster construction
An efficient algorithm for the incremental construction of a piecewise linear classifier
Classification through incremental max-min separability
Codifferential method for minimizing nonsmooth DC functions
Feature selection using misclassification counts
- Conference Proceedings
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Improving Naive Bayes classifier using conditional probabilities
- Conference Proceedings
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A novel hybrid neural learning algorithm using simulated annealing and quasisecant method
- Conference Proceedings
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Comparing different nonsmooth minimization methods and software
Machine learning algorithms for analysis of DNA data sets
Limited memory discrete gradient bundle method for nonsmooth derivative-free optimization
A novel piecewise linear classifier based on polyhedral conic and max-min separabilities
A novel approach to optimal pump scheduling in water distribution systems
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Minimization of pumping costs in water distribution systems using explicit and implicit pump scheduling
- Conference Proceedings
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Application of Optimisation-based Data Mining Techniques to Medical Data Sets: A Comparative Analysis
- Conference Proceedings
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Comparison of metaheuristic algorithms for pump operation optimization
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An algorithm for minimization of pumping costs in water distribution systems using a novel approach to pump scheduling
Framework for Multi-objective Optimisation of the Operation of Water Distribution Networks including Water Quality
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Nonsmooth nonconvex optimization approach to clusterwise linear regression problems
Subgradient Method for Nonconvex Nonsmooth Optimization
Hyperbolic smoothing function method for minimax problems
Aggregate codifferential method for nonsmooth DC optimization
Capped K-NN Editing in Definition Lacking Environments
Pumping Costs and Water Quality in the Battlefield of Optimal Operation of Water Distribution Networks
- Conference Proceedings
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Subgradient and bundle methods for nonsmooth optimization
Preface of the special issue OR: Connecting sciences supported by global optimization related to the 25th European conference on operational research (EURO XXV 2012)
A convolutional recursive modified Self Organizing Map for handwritten digits recognition
Piecewise linear classifiers based on nonsmooth optimization approaches
CR-Modified SOM to the Problem of Handwritten Digits Recognition
An algorithm for clusterwise linear regression based on smoothing techniques
A heuristic algorithm for solving the minimum sum-of-squares clustering problems
Optimal operation of a multi-quality water distribution system with changing turbidity and salinity levels in source reservoirs
An incremental clustering algorithm based on hyperbolic smoothing
An incremental piecewise linear classifier based on polyhedral conic separation
Solving DC programs using the cutting angle method
A history of water distribution systems and their optimisation
Modified self-organising maps with a new topology and initialisation algorithm
Nonsmooth Optimization Algorithm for Solving Clusterwise Linear Regression Problems
Exploration of the Trade-Offs between Water Quality and Pumping Costs in Optimal Operation of Regional Multiquality Water Distribution Systems
Impact of Water-Quality Conditions in Source Reservoirs on the Optimal Operation of a Regional Multiquality Water-Distribution System
Nonsmooth optimization based algorithms in cluster analysis
AN ALGORITHM FOR CLUSTERING USING L-1-NORM BASED ON HYPERBOLIC SMOOTHING TECHNIQUE
Sensitivity of algorithm parameters and objective function scaling in multi-objective optimisation of water distribution systems
Constrained Self Organizing Maps for Data Clusters Visualization
Nonsmooth DC programming approach to the minimum sum-of-squares clustering problems
Diagnostic with incomplete nominal/discrete data
A new modification of Kohonen neural network for VQ and clustering problems
- Conference Proceedings
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Batch clustering algorithm for big data sets
Alexander rubinov - An outstanding scholar
A global optimisation approach to classification in medical diagnosis and prognosis
