ORCID Profile
0000-0002-9841-5292
Current Organisation
Deakin University - Melbourne Burwood Campus
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In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Information Systems | Optimisation | Neural, Evolutionary and Fuzzy Computation | Global Information Systems | Pure Mathematics not elsewhere classified | Computer System Security | Artificial Intelligence and Image Processing
Expanding Knowledge in the Information and Computing Sciences | Application Software Packages (excl. Computer Games) | Expanding Knowledge in the Mathematical Sciences | Application Tools and System Utilities |
Publisher: Elsevier BV
Date: 09-2006
Publisher: Elsevier BV
Date: 09-2007
Publisher: Elsevier BV
Date: 11-2014
Publisher: Informa UK Limited
Date: 10-2006
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: Elsevier BV
Date: 04-2013
Publisher: Informa UK Limited
Date: 07-2009
Publisher: Springer International Publishing
Date: 2014
Publisher: IEEE
Date: 06-2008
Publisher: Springer Science and Business Media LLC
Date: 28-02-2014
Publisher: Elsevier BV
Date: 02-2020
Publisher: Hindawi Limited
Date: 12-2014
DOI: 10.1002/INT.21692
Publisher: World Scientific Pub Co Pte Lt
Date: 12-2002
DOI: 10.1142/S0218488502001715
Abstract: The need for monotone approximation of scattered data often arises in many problems of regression, when the monotonicity is semantically important. One such domain is fuzzy set theory, where membership functions and aggregation operators are order preserving. Least squares polynomial splines provide great flexbility when modeling non-linear functions, but may fail to be monotone. Linear restrictions on spline coefficients provide necessary and sufficient conditions for spline monotonicity. The basis for splines is selected in such a way that these restrictions take an especially simple form. The resulting non-negative least squares problem can be solved by a variety of standard proven techniques. Additional interpolation requirements can also be imposed in the same framework. The method is applied to fuzzy systems, where membership functions and aggregation operators are constructed from empirical data.
Publisher: Elsevier
Date: 2021
Publisher: Elsevier BV
Date: 10-2017
Publisher: Informa UK Limited
Date: 02-2013
Publisher: Springer International Publishing
Date: 2016
Publisher: Elsevier BV
Date: 10-2018
Publisher: IEEE
Date: 07-2014
Publisher: Elsevier BV
Date: 05-2010
Publisher: IEEE
Date: 07-2014
Publisher: Elsevier BV
Date: 2014
Publisher: IEEE
Date: 07-2014
Publisher: Informa UK Limited
Date: 02-10-2020
Publisher: Elsevier BV
Date: 03-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2012
Publisher: Elsevier BV
Date: 02-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2015
Publisher: Springer International Publishing
Date: 15-10-2015
Publisher: Bucharest University of Economic Studies
Date: 18-06-2020
Publisher: Hindawi Limited
Date: 22-06-2018
DOI: 10.1002/INT.21989
Publisher: Elsevier BV
Date: 03-2011
Publisher: Elsevier BV
Date: 08-1996
DOI: 10.1016/0933-3657(95)00042-9
Abstract: The problem of population screening is very important for medical statistics. It allows one to analyze the expression of certain parameters in the population of healthy persons, in order to compare it to the expression of these parameters in the persons with a specific disease. If a parameter is expressed differently in ill and healthy persons, then this parameter may serve as a pointer to the disease, especially in its earlier stages. While the analysis of given parameters in people with the established diagnosis does not represent many difficulties, the analysis of the general population is not easily carried out. The problem is that the general population contains both ill and healthy people. The population of healthy people is said to be 'contaminated' by the noise-subpopulation of ill people. The resulting statistical parameters are, therefore, biased and in order to find their correct values one needs to cancel out the input of the noise. In this paper we propose a new method to cancel out the noise, based on the theory of fuzzy sets. We assume that an auxiliary parameter is measured simultaneously and it is used to separate the subpopulations. If two subpopulations (the data and the noise) form clearly distinguished clusters in respect to this auxiliary parameter, one creates a gate and throws out the events outside the gate assuming that they are noise. However, when the clusters overlap, this procedure is no longer useful, and it is this particular situation for which we have developed fuzzy gating. In addition to the fact that the gate is fuzzified, a specifically designed algorithm is applied to compute the probability density functions for both subpopulations. Our algorithm gives a very high precision and is very robust as to the level of noise and the type of distributions.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2011
Publisher: Elsevier BV
Date: 02-1996
DOI: 10.1016/0933-3657(95)00016-X
Abstract: Despite the strong theoretical foundation the Bayesian probabilistic approach to model uncertainty in medicine meets many difficulties at the implementation step. One of these difficulties is related to a large amount of conditional probabilities to be assessed and in many cases this task was recognised to be practically insoluble. The MYCIN certainty factors model is a widely distributed pragmatical approach for modeling reasoning under uncertainty that substantially simplifies the problem, at the sacrifice of theoretical soundness. One can determine certainty factors as a function of prior and posterior probability. However, this approach is only consistent with the modularity axiom for certainty factors for tree-structure inference networks, which is rarely true for practical applications. In this paper we abandon the requirement of a direct probabilistic interpretation of certainty factors and build a model of propagation of uncertainty in terms of absolute belief and belief updates. We describe our model for propagating uncertainty in terms of matrix multiplication with specifically defined addition and multiplication which correspond to parallel and sequential combinations of certainty factors. It is possible to define these operations in such a manner that they form a field, and therefore to obtain some useful properties. Finally we present a method of determining certainty factors from statistical data using nonlinear regression and illustrate it with a leukemia diagnostics problem.
Publisher: Informa UK Limited
Date: 12-2007
Publisher: Informa UK Limited
Date: 20-09-2013
Publisher: IEEE
Date: 07-2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2009
Publisher: Elsevier
Date: 2014
Publisher: Springer International Publishing
Date: 2016
Publisher: Springer Science and Business Media LLC
Date: 17-09-2009
Publisher: Elsevier BV
Date: 08-2001
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2018
Publisher: IEEE
Date: 11-2011
Publisher: Hindawi Limited
Date: 27-05-2016
DOI: 10.1002/INT.21828
Publisher: IEEE
Date: 06-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2023
Publisher: IEEE
Date: 06-2012
Publisher: Elsevier BV
Date: 10-2022
Publisher: Elsevier BV
Date: 02-2022
Publisher: Elsevier BV
Date: 02-2020
Publisher: Elsevier BV
Date: 10-2021
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: IEEE
Date: 06-2011
Publisher: Elsevier BV
Date: 11-2006
Publisher: Cambridge University Press (CUP)
Date: 04-2012
DOI: 10.1017/S1446181112000016
Abstract: The process of sleep stage identification is a labour-intensive task that involves the specialized interpretation of the polysomnographic signals captured from a patient’s overnight sleep session. Automating this task has proven to be challenging for data mining algorithms because of noise, complexity and the extreme size of data. In this paper we apply nonsmooth optimization to extract key features that lead to better accuracy. We develop a specific procedure for identifying K -complexes, a special type of brain wave crucial for distinguishing sleep stages. The procedure contains two steps. We first extract “easily classified” K -complexes, and then apply nonsmooth optimization methods to extract features from the remaining data and refine the results from the first step. Numerical experiments show that this procedure is efficient for detecting K -complexes. It is also found that most classification methods perform significantly better on the extracted features.
Publisher: Elsevier BV
Date: 09-2017
Publisher: Informa UK Limited
Date: 09-04-2020
Publisher: Elsevier BV
Date: 09-2000
Publisher: Royal Society of Chemistry (RSC)
Date: 2003
DOI: 10.1039/B305721F
Publisher: Elsevier BV
Date: 06-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2001
DOI: 10.1109/91.971696
Publisher: Elsevier BV
Date: 07-2005
Publisher: Springer Berlin Heidelberg
Date: 2008
Publisher: Elsevier BV
Date: 10-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2010
Publisher: Informa UK Limited
Date: 12-2012
Publisher: Springer Berlin Heidelberg
Date: 2008
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2007
Publisher: Elsevier BV
Date: 04-2015
Publisher: Elsevier BV
Date: 09-2013
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2007
Publisher: IEEE
Date: 06-2008
Publisher: Elsevier BV
Date: 04-2020
Publisher: Informa UK Limited
Date: 08-2003
Publisher: Association for Computing Machinery (ACM)
Date: 07-2005
Abstract: The acceptance/rejection approach is widely used in universal nonuniform random number generators. Its key part is an accurate approximation of a given probability density from above by a hat function. This article uses a piecewise constant hat function, whose values are overestimates of the density on the elements of the partition of the domain. It uses a sawtooth overestimate of Lipschitz continuous densities, and then examines all local maximizers of such an overestimate. The method is applicable to multivariate multimodal distributions. It exhibits relatively short preprocessing time and fast generation of random variates from a very large class of distributions.
Publisher: Elsevier BV
Date: 10-2014
Publisher: Springer Berlin Heidelberg
Date: 2011
Publisher: IEEE
Date: 06-2012
Publisher: Springer Science and Business Media LLC
Date: 07-02-2015
Publisher: Springer Berlin Heidelberg
Date: 2011
Publisher: IEEE
Date: 06-2013
Publisher: Informa UK Limited
Date: 11-1995
Publisher: Elsevier BV
Date: 02-2015
Publisher: World Scientific Pub Co Pte Lt
Date: 04-2007
DOI: 10.1142/S0218488507004522
Abstract: This paper describes an approach to pointwise construction of general aggregation operators, based on monotone Lipschitz approximation. The aggregation operators are constructed from a set of desired values at certain points, or from empirically collected data. It establishes tight upper and lower bounds on Lipschitz aggregation operators with a number of different properties, as well as the optimal aggregation operator, consistent with the given values. We consider conjunctive, disjunctive and idempotent n-ary aggregation operators p-stable aggregation operators various choices of the neutral element and annihilator diagonal, opposite diagonal and marginal sections bipolar and double aggregation operators. In all cases we provide either explicit formulas or deterministic numerical procedures to determine the bounds. The findings of this paper are useful for construction of aggregation operators with specified properties, especially using interpolation schemata.
Publisher: Elsevier
Date: 2005
Publisher: Springer Science and Business Media LLC
Date: 04-2005
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2015
Publisher: IEEE
Date: 2000
Publisher: Springer Science and Business Media LLC
Date: 12-2005
Publisher: Elsevier BV
Date: 2009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2012
Publisher: Elsevier BV
Date: 09-2016
Publisher: Elsevier BV
Date: 06-2015
Publisher: Elsevier BV
Date: 08-2019
Publisher: Hindawi Limited
Date: 05-2020
DOI: 10.1002/INT.22227
Publisher: Springer US
Date: 05-10-2010
Publisher: Elsevier BV
Date: 04-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Springer Berlin Heidelberg
Date: 2011
Publisher: Springer Science and Business Media LLC
Date: 10-11-2012
Publisher: Elsevier BV
Date: 05-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
Publisher: Elsevier BV
Date: 02-2004
Publisher: Elsevier BV
Date: 12-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2022
Publisher: IEEE
Date: 08-2015
Publisher: Elsevier BV
Date: 11-2017
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: Elsevier BV
Date: 10-2021
Publisher: IEEE
Date: 07-2013
Publisher: Springer Berlin Heidelberg
Date: 2011
Publisher: Springer Berlin Heidelberg
Date: 2011
Publisher: Hindawi Limited
Date: 25-04-2019
DOI: 10.1002/INT.22119
Publisher: Elsevier BV
Date: 02-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2011
Publisher: Elsevier BV
Date: 07-2012
Publisher: Elsevier BV
Date: 08-2019
Publisher: Springer Berlin Heidelberg
Date: 2011
Publisher: Elsevier BV
Date: 08-2013
Publisher: Elsevier BV
Date: 04-2022
Publisher: Elsevier BV
Date: 11-2019
Publisher: Elsevier BV
Date: 11-2021
Publisher: Elsevier BV
Date: 10-2015
Publisher: Springer Science and Business Media LLC
Date: 2014
Publisher: Elsevier BV
Date: 12-2023
Publisher: Springer Science and Business Media LLC
Date: 11-01-2012
Publisher: Springer International Publishing
Date: 2019
Publisher: Hindawi Limited
Date: 22-10-2018
DOI: 10.1002/INT.22049
Publisher: Springer US
Date: 2015
Publisher: Elsevier BV
Date: 05-2014
Publisher: Elsevier BV
Date: 2001
DOI: 10.1016/S0933-3657(00)00087-7
Abstract: Computerized clinical guidelines can provide significant benefits in terms of health outcomes and costs, however, their effective computer implementation presents significant problems. Vagueness and ambiguity inherent in natural language (textual) clinical guidelines makes them problematic for formulating automated alerts or advice. Fuzzy logic allows us to formalize the treatment of vagueness in a decision support architecture. In care plan on-line (CPOL), an intranet-based chronic disease care planning system for general practitioners (GPs) in use in South Australia, we formally treat fuzziness in interpretation of quantitative data, formulation of recommendations and unequal importance of clinical indicators. We use expert judgment on cases, as well as direct estimates by experts, to optimize aggregation operators and treat heterogeneous combinations of conjunction and disjunction that are present in the natural language decision rules formulated by specialist teams.
Publisher: Academy Publisher
Date: 06-2012
Publisher: Springer London
Date: 2010
Publisher: Hindawi Limited
Date: 30-06-2017
DOI: 10.1002/INT.21913
Publisher: Elsevier BV
Date: 09-2014
Publisher: Informa UK Limited
Date: 04-2015
Publisher: Hindawi Limited
Date: 28-11-2019
DOI: 10.1002/INT.22209
Publisher: Wiley
Date: 22-01-2016
DOI: 10.1002/NLA.2035
Publisher: Elsevier BV
Date: 05-2010
Publisher: IEEE
Date: 06-2008
Publisher: World Scientific Pub Co Pte Lt
Date: 04-2004
DOI: 10.1142/S0218488504002783
Abstract: This paper treats the problem of fitting general aggregation operators with unfixed number of arguments to empirical data. We discuss methods applicable to associative operators (t-norms, t-conorms, uninorms and nullnorms), means and Choquet integral based operators with respect to a universal fuzzy measure. Special attention is paid to k-order additive symmetric fuzzy measures.
Publisher: Springer International Publishing
Date: 2016
Publisher: Informa UK Limited
Date: 04-2004
Publisher: Hindawi Limited
Date: 22-07-2003
DOI: 10.1002/INT.10120
Publisher: Hindawi Limited
Date: 15-08-2021
DOI: 10.1002/INT.22609
Publisher: Hindawi Limited
Date: 22-08-2019
DOI: 10.1002/INT.22172
Publisher: IEEE
Date: 07-2010
Publisher: Elsevier BV
Date: 2013
Publisher: IEEE
Date: 06-2013
Publisher: Academy Publisher
Date: 07-08-2014
Publisher: IEEE
Date: 04-2011
Publisher: Springer International Publishing
Date: 2020
Publisher: Elsevier BV
Date: 07-2011
Publisher: Elsevier BV
Date: 09-2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Publisher: IEEE
Date: 04-2011
Publisher: Informa UK Limited
Date: 10-2007
Publisher: Elsevier BV
Date: 2022
Publisher: Elsevier BV
Date: 10-2019
Publisher: IEEE
Date: 05-0004
Publisher: Springer Berlin Heidelberg
Date: 2013
Publisher: Elsevier BV
Date: 2022
Start Date: 07-2018
End Date: 05-2022
Amount: $310,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 02-2021
End Date: 02-2025
Amount: $357,735.00
Funder: Australian Research Council
View Funded Activity