Fuzzy Multiview Graph Learning on Sparse Electronic Health Records

• Journals
• DOI reference: 10.1109/TFUZZ.2024.3415730

Robust clustering algorithm: The use of soft trimming approach

• Journals
• DOI reference: 10.1016/j.patrec.2024.06.032

Nonsmooth DC Optimization Support Vector Machines Method for Piecewise Linear Regression

• Journals
• DOI reference: 10.30546/1683-6154.23.3.2024.282

Semi-supervised clustering algorithm for data streams

• Conference Proceedings
• DOI reference: 10.1109/ISCMI63661.2024.10851668

Discriminating Malware Families using Partitional Clustering

• Conference Proceedings
• DOI reference: 10.1109/TrustCom63139.2024.00311

Methods and Applications of Clusterwise Linear Regression: A Survey and Comparison

• Journals
• DOI reference: 10.1145/3550074

Bundle Enrichment Method for Nonsmooth Difference of Convex Programming Problems

• Journals
• DOI reference: 10.3390/a16080394

Nonsmooth Optimization-Based Hyperparameter-Free Neural Networks for Large-Scale Regression

• Journals
• DOI reference: 10.3390/a16090444

Finding compact and well-separated clusters: Clustering using silhouette coefficients

• Journals
• DOI reference: 10.1016/j.patcog.2022.109144

A novel optimization approach towards improving separability of clusters

• Journals
• DOI reference: 10.1016/j.cor.2022.106135

SMGKM: An Efficient Incremental Algorithm for Clustering Document Collections

• Conference Proceedings
• DOI reference: 10.1007/978-3-031-23804-8_25

Nonsmooth Optimization-Based Model and Algorithm for Semisupervised Clustering

• Journals
• DOI reference: 10.1109/TNNLS.2021.3129370

Special issue dedicated to the 80th birthday of Professor Alexander Rubinov

• Journals
• DOI reference: 10.1080/02331934.2022.2057066

Robust piecewise linear L 1-regression via nonsmooth DC optimization

• Journals
• DOI reference: 10.1080/10556788.2020.1855171

High activity and high functional connectivity are mutually exclusive in resting state zebrafish and human brains

• Journals
• DOI reference: 10.1186/s12915-022-01286-3

Limited Memory Bundle Method for Clusterwise Linear Regression

• Book Chapters
• DOI reference: 10.1007/978-3-030-70787-3_8

Missing Value Imputation via Clusterwise Linear Regression

• Journals
• DOI reference: 10.1109/TKDE.2020.3001694

Incremental DC optimization algorithm for large-scale clusterwise linear regression

• Journals
• DOI reference: 10.1016/j.cam.2020.113323

Analysis of Water Quantity and Quality Trade-Offs to Inform Selective Harvesting of Inflows in Complex Water Resource Systems

• Journals
• DOI reference: 10.1007/s11269-021-02936-x

Subgradient Smoothing Method for Nonsmooth Nonconvex Optimization

• Conference Proceedings
• DOI reference: 10.1007/978-3-030-72040-7_3

An augmented subgradient method for minimizing nonsmooth DC functions

• Journals
• DOI reference: 10.1007/s10589-021-00304-4

Multi-objective optimisation to manage trade-offs in water quality and quantity of complex water resource system

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• DOI reference:

Malware Variant Identification Using Incremental Clustering

• Journals
• DOI reference: 10.3390/electronics10141628

Aggregate subgradient method for nonsmooth DC optimization

• Journals
• DOI reference: 10.1007/s11590-020-01586-z

Numerical nonsmooth optimization: State of the art algorithms

• Book
• DOI reference: 10.1007/978-3-030-34910-3

Partitional Clustering via Nonsmooth Optimization: Clustering via Optimization

• Book
• DOI reference: 10.1007/978-3-030-37826-4

Cyberattack triage using incremental clustering for intrusion detection systems

• Journals
• DOI reference: 10.1007/s10207-019-00478-3

Bundle methods for nonsmooth DC optimization

• Book Chapters
• DOI reference: 10.1007/978-3-030-34910-3_8

Discrete gradient methods

• Book Chapters
• DOI reference: 10.1007/978-3-030-34910-3_18

Introduction - Numerical Nonsmooth Optimization: State of the Art Algorithms

• Book Chapters
• DOI reference: 10.1007/978-3-030-34910-3_1

Final words - Numerical Nonsmooth Optimization: State of the Art Algorithms

• Book Chapters
• DOI reference:

Preface-Numerical Nonsmooth Optimization: State of the Art Algorithms

• Book Chapters
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Partial Undersampling of Imbalanced Data for Cyber Threats Detection

• Conference Proceedings
• DOI reference: 10.1145/3373017.3373026

The non-smooth and bi-objective team orienteering problem with soft constraints

• Journals
• DOI reference: 10.3390/math8091461

New gene selection algorithm using hypeboxes to improve performance of classifiers

• Journals
• DOI reference: 10.1504/IJBRA.2020.109102

AN INCREMENTAL NONSMOOTH OPTIMIZATION ALGORITHM FOR CLUSTERING USING L-1 AND L-infinity NORMS

• Journals
• DOI reference: 10.3934/jimo.2019079

Prediction of gold-bearing localised occurrences from limited exploration data

• Journals
• DOI reference: 10.1504/IJCSE.2020.106863

Clusterwise support vector linear regression

• Journals
• DOI reference: 10.1016/j.ejor.2020.04.032

A biased-randomised algorithm for the capacitated facility location problem with soft constraints

• Journals
• DOI reference: 10.1080/01605682.2019.1639478

An approximate ADMM for solving linearly constrained nonsmooth optimization problems with two blocks of variables

• Book Chapters
• DOI reference: 10.1007/978-3-030-11370-4_2

Multi-source cyber-attacks detection using machine learning

• Conference Proceedings
• DOI reference: 10.1109/ICIT.2019.8755006

A sharp augmented Lagrangian-based method in constrained non-convex optimization

• Journals
• DOI reference: 10.1080/10556788.2018.1496431

A difference of convex optimization algorithm for piecewise linear regression

• Journals
• DOI reference: 10.3934/jimo.2018077

A simulated annealing-based maximum-margin clustering algorithm

• Journals
• DOI reference: 10.1111/coin.12187

A Comparative Study of Unsupervised Classification Algorithms in Multi-Sized Data Sets

• Conference Proceedings
• DOI reference: 10.1145/3375959.3375979

A server side solution for detecting webInject: A machine learning approach

• Conference Proceedings
• DOI reference: 10.1007/978-3-030-04503-6_16

Preface of the special issue: the 6th International Conference on Optimization and Control with Applications (6th OCA)

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• DOI reference: 10.1007/s11590-018-1297-z

Solving minimax problems: Local smoothing versus global smoothing

• Conference Proceedings
• DOI reference: 10.1007/978-3-319-90026-1_2

A Comparative Assessment of Models to Predict Monthly Rainfall in Australia

• Journals
• DOI reference: 10.1007/s11269-018-1903-y

Nonsmooth DC programming approach to clusterwise linear regression: optimality conditions and algorithms

• Journals
• DOI reference: 10.1080/10556788.2017.1371717

Minimizing nonsmooth DC functions via successive DC piecewise-affine approximations

• Journals
• DOI reference: 10.1007/s10898-017-0568-z

Double bundle method for finding clarke stationary points in nonsmooth dc programming?

• Journals
• DOI reference: 10.1137/16M1115733

Clustering in large data sets with the limited memory bundle method

• Journals
• DOI reference: 10.1016/j.patcog.2018.05.028

Prediction of monthly rainfall in Victoria, Australia: Clusterwise linear regression approach

• Journals
• DOI reference: 10.1016/j.atmosres.2017.01.003

A proximal bundle method for nonsmooth DC optimization utilizing nonconvex cutting planes

• Journals
• DOI reference: 10.1007/s10898-016-0488-3

DC Programming Algorithm for Clusterwise Linear L1 Regression

• Journals
• DOI reference: 10.1007/s40305-017-0151-9

New diagonal bundle method for clustering problems in large data sets

• Journals
• DOI reference: 10.1016/j.ejor.2017.06.010

Optimization Based Clustering Algorithms for Authorship Analysis of Phishing Emails

• Journals
• DOI reference: 10.1007/s11063-017-9593-7

Global optimization in the summarization of text documents

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A global optimization approach to classification

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A method of truncated codifferential with application to some problems of cluster analysis

• Journals
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A method for minimization of quasidifferentiable functions

• Journals
• DOI reference: 10.1080/10556780290027837

A heuristic algorithm for feature selection based on optimization techniques

• Book Chapters
• DOI reference: 10.4018/978-1-930708-26-6.ch002

Penalty functions with a small penalty parameter

• Journals
• DOI reference: 10.1080/1055678021000066058

Lagrange-type functions in constrained optimization

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Optimization based clustering algorithms in multicast group hierarchies

• Conference Proceedings
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Unsupervised and supervised data classification via nonsmooth and global optimization

• Journals
• DOI reference:

An algorithm for clustering based on non-smooth optimization techniques

• Journals
• DOI reference: 10.1111/1475-3995.00431

Continuous subdifferential approximations and their applications

• Journals
• DOI reference:

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
• DOI reference:

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
• DOI reference:

Comparative analysis of the cutting angle and simulated annealing methods in global optimization

• Journals
• DOI reference: 10.1080/02331930310001611565

Cutting angle method and a local search

• Journals
• DOI reference: 10.1023/A:1024858200805

New algorithms for multi-class cancer diagnosis using tumor gene expression signatures

• Journals
• DOI reference: 10.1093/bioinformatics/btg238

The discrete gradient evolutionary strategy method for global optimization

• Conference Proceedings
• DOI reference: 10.1109/CEC.2003.1299608

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
• DOI reference:

Solving Euclidian travelling salesman problem using discrete-gradient based clustering and kohonen neural network

• Conference Proceedings
• DOI reference:

Data mining with combined use of optimization techniques and self-organizing maps for improving risk grouping rules: application to prostate cancer patients

• Journals
• DOI reference: 10.1080/07421222.2005.11045826

An algorithm for minimizing clustering functions

• Journals
• DOI reference: 10.1080/02331930500096155

On minimization of max-min functions

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Supervised data classification via max-min separability

• Book Chapters
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Max-min separability

• Journals
• DOI reference: 10.1080/10556780512331318263

Local optimization method with global multidimensional search

• Journals
• DOI reference: 10.1007/s10898-004-2700-0

Hybridization of neural learning algorithms using evolutionary and discrete gradient approaches

• Journals
• DOI reference:

Comparative analysis of genetic algorithm vs. evolutionary algorithm for hybrid models with discrete gradient method for artificial neural network

• Conference Proceedings
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Determining regularization parameters for derivative free neural learning

• Conference Proceedings
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Comparative analysis of genetic algorithm, simulated annealing and cutting angle method for artificial neural networks

• Book Chapters
• DOI reference:

Fusion strategies for neural learning algorithms using evolutionary and discrete gradient approaches

• Conference Proceedings
• DOI reference:

A new nonsmooth optimization algorithm for minimum sum-of-squares clustering problems

• Journals
• DOI reference: 10.1016/j.ejor.2004.06.014

Piecewise Partially Separable Functions and a Derivative-free Algorithm for Large Scale Nonsmooth Optimization

• Journals
• DOI reference: 10.1007/s10898-005-3834-4

A derivative-free method for linearly constrained nonsmooth optimization

• Journals
• DOI reference:

A hybrid neural learning algorithm using evolutionary learning and derivative free local search method

• Journals
• DOI reference: 10.1142/S0129065706000615

Modified global k-means algorithm for clustering in gene expression data sets

• Conference Proceedings
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Application of derivative free methods for production optimization

• Journals
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Non-smooth optimization methods for computation of the conditional value-at-risk and portfolio optimization

• Journals
• DOI reference: 10.1080/02331930600816353

Separation of two sets by piecewise linear function

• Journals
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Clustering via D.C. optimization

• Book Chapters
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Global optimization of marginal functions with applications to economic equilibrium

• Journals
• DOI reference: 10.1023/A:1017949601615

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

• Journals
• DOI reference:

A nonsmooth optimization approach to sensor network localization

• Conference Proceedings
• DOI reference: 10.1109/ISSNIP.2007.4496933

Visual Tools for Analysing Evolution, Emergence and Error in Data Streams

• Conference Proceedings
• DOI reference: 10.1109/ICIS.2007.194

An approximate subgradient algorithm for unconstrained nonsmooth, nonconvex optimization

• Journals
• DOI reference: 10.1007/s00186-007-0186-5

Discrete Gradient Method: Derivative-Free Method for Nonsmooth Optimization

• Journals
• DOI reference: 10.1007/s10957-007-9335-5

Modified global k-means algorithm for minimum sum-of-squares clustering problems

• Journals
• DOI reference: 10.1016/j.patcog.2008.04.004

Optimisation of operations of a water distribution system for reduced power usage

• Conference Proceedings
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Continuous Approximations to Subdifferentials

• Book Chapters
• DOI reference:

Derivative-Free Methods for Non-Smooth Optimization

• Book Chapters
• DOI reference:

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

• Journals
• DOI reference: 10.1109/TIT.2008.2009835

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

• Book
• DOI reference: 10.1007/978-3-319-08114-4

A multidimensional descent method for global optimization

• Journals
• DOI reference: 10.1080/02331930902943483

Optimization methods and the K-committees algorithm for clustering of sequence data

• Journals
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Comments on: Optimization and data mining in medicine

• Journals
• DOI reference: 10.1007/s11750-009-0130-3

An algorithm for the estimation of a regression function by continuous piecewise linear functions

• Journals
• DOI reference: 10.1007/s10589-008-9174-9

An L2-boosting algorithm for estimation of a regression function

• Journals
• DOI reference: 10.1109/TIT.2009.2039161

Truncated codifferential method for nonsmooth convex optimization

• Journals
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A quasisecant method for minimizing nonsmooth functions

• Journals
• DOI reference: 10.1080/10556780903151565

Application of optimisation-based data mining techniques to tobacco control dataset

• Journals
• DOI reference:

Adaptation to water shortage through the implementation of a unique pipeline system in Victoria, Australia

• Conference Proceedings
• DOI reference:

Truncated codifferential method for linearly constrained nonsmooth optimization

• Conference Proceedings
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Cluster analysis of a tobacco control data set

• Journals
• DOI reference:

A generalized subgradient method with piecewise linear subproblem

• Journals
• DOI reference:

Fast modified global k-means algorithm for incremental cluster construction

• Journals
• DOI reference: 10.1016/j.patcog.2010.10.018

An efficient algorithm for the incremental construction of a piecewise linear classifier

• Journals
• DOI reference: 10.1016/j.is.2010.12.002

Classification through incremental max-min separability

• Journals
• DOI reference: 10.1007/s10044-010-0191-9

Codifferential method for minimizing nonsmooth DC functions

• Conference Proceedings
• DOI reference: 10.1007/s10898-010-9569-x

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

• Journals
• DOI reference: 10.1080/10556788.2010.526116

Machine learning algorithms for analysis of DNA data sets

• Book Chapters
• DOI reference: 10.4018/978-1-4666-1833-6.ch004

Limited memory discrete gradient bundle method for nonsmooth derivative-free optimization

• Journals
• DOI reference: 10.1080/02331934.2012.687736

A novel piecewise linear classifier based on polyhedral conic and max-min separabilities

• Journals
• DOI reference: 10.1007/s11750-011-0241-5

A novel approach to optimal pump scheduling in water distribution systems

• Conference Proceedings
• DOI reference:

Minimization of pumping costs in water distribution systems using explicit and implicit pump scheduling

• Conference Proceedings
• DOI reference:

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

• Conference Proceedings
• DOI reference:

An algorithm for minimization of pumping costs in water distribution systems using a novel approach to pump scheduling

• Journals
• DOI reference: 10.1016/j.mcm.2012.09.015

Framework for Multi-objective Optimisation of the Operation of Water Distribution Networks including Water Quality

• Conference Proceedings
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Nonsmooth nonconvex optimization approach to clusterwise linear regression problems

• Journals
• DOI reference: 10.1016/j.ejor.2013.02.059

Subgradient Method for Nonconvex Nonsmooth Optimization

• Journals
• DOI reference: 10.1007/s10957-012-0167-6

Hyperbolic smoothing function method for minimax problems

• Journals
• DOI reference: 10.1080/02331934.2012.675335

Aggregate codifferential method for nonsmooth DC optimization

• Journals
• DOI reference: 10.1016/j.cam.2013.08.010

Capped K-NN Editing in Definition Lacking Environments

• Journals
• DOI reference: 10.13176/11.465

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

• Conference Proceedings
• DOI reference: 10.1007/978-94-007-5288-7_15

Preface of the special issue OR: Connecting sciences supported by global optimization related to the 25th European conference on operational research (EURO XXV 2012)

• Journals
• DOI reference: 10.1007/s10898-014-0216-9

A convolutional recursive modified Self Organizing Map for handwritten digits recognition

• Journals
• DOI reference: 10.1016/j.neunet.2014.08.001

Piecewise linear classifiers based on nonsmooth optimization approaches

• Book Chapters
• DOI reference: 10.1007/978-1-4939-0808-0_1

CR-Modified SOM to the Problem of Handwritten Digits Recognition

• Book Chapters
• DOI reference: 10.1007/978-3-319-12069-0_17

An algorithm for clusterwise linear regression based on smoothing techniques

• Journals
• DOI reference: 10.1007/s11590-014-0749-3

A heuristic algorithm for solving the minimum sum-of-squares clustering problems

• Journals
• DOI reference: 10.1007/s10898-014-0171-5

Optimal operation of a multi-quality water distribution system with changing turbidity and salinity levels in source reservoirs

• Conference Proceedings
• DOI reference: 10.1016/j.proeng.2014.11.177

An incremental clustering algorithm based on hyperbolic smoothing

• Journals
• DOI reference: 10.1007/s10589-014-9711-7

An incremental piecewise linear classifier based on polyhedral conic separation

• Journals
• DOI reference: 10.1007/s10994-014-5449-9

Solving DC programs using the cutting angle method

• Journals
• DOI reference: 10.1007/s10898-014-0159-1

A history of water distribution systems and their optimisation

• Journals
• DOI reference: 10.2166/ws.2014.115

Modified self-organising maps with a new topology and initialisation algorithm

• Journals
• DOI reference: 10.1080/0952813X.2014.954278

Nonsmooth Optimization Algorithm for Solving Clusterwise Linear Regression Problems

• Journals
• DOI reference: 10.1007/s10957-014-0566-y

Exploration of the Trade-Offs between Water Quality and Pumping Costs in Optimal Operation of Regional Multiquality Water Distribution Systems

• Journals
• DOI reference: 10.1061/(ASCE)WR.1943-5452.0000472

Impact of Water-Quality Conditions in Source Reservoirs on the Optimal Operation of a Regional Multiquality Water-Distribution System

• Journals
• DOI reference: 10.1061/(ASCE)WR.1943-5452.0000523

Nonsmooth optimization based algorithms in cluster analysis

• Book Chapters
• DOI reference: 10.1007/978-3-319-09259-1_4

AN ALGORITHM FOR CLUSTERING USING L-1-NORM BASED ON HYPERBOLIC SMOOTHING TECHNIQUE

• Journals
• DOI reference: 10.1111/coin.12062

Sensitivity of algorithm parameters and objective function scaling in multi-objective optimisation of water distribution systems

• Journals
• DOI reference: 10.2166/hydro.2015.062

Constrained Self Organizing Maps for Data Clusters Visualization

• Journals
• DOI reference: 10.1007/s11063-015-9454-1

Nonsmooth DC programming approach to the minimum sum-of-squares clustering problems

• Journals
• DOI reference: 10.1016/j.patcog.2015.11.011

Diagnostic with incomplete nominal/discrete data

• Journals
• DOI reference: 10.5430/air.v4n1p22

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

• Conference Proceedings
• DOI reference: 10.1109/ICAICT.2016.7991657

Alexander rubinov - An outstanding scholar

• Journals
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Preface

• Journals
• DOI reference: 10.3934/jimo.2007.3.2i

A global optimisation approach to classification in medical diagnosis and prognosis

• Conference Proceedings
• DOI reference: 10.1109/HICSS.2001.926571