Kate Smith-Miles

Q: What Schools Are Affiliated With Kate Smith-Miles

Kate Smith-Miles is affiliated with the following schools: University of Melbourne, Deakin University, Monash University

Kate Smith-Miles's AcademicInfluence.com Rankings

Kate Smith-Miles

Mathematics

#4130

World Rank

#5935

Historical Rank

Applied Mathematics

#411

World Rank

#439

Historical Rank

Measure Theory

#4105

World Rank

#4838

Historical Rank

mathematics Degrees

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Mathematics

Kate Smith-Miles's Degrees

Bachelors Mathematics University of Melbourne
Masters Applied Mathematics University of Melbourne
PhD Applied Mathematics University of Melbourne

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Why Is Kate Smith-Miles Influential?

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According to Wikipedia, Kate Amanda Smith-Miles is an Australian applied mathematician, known for her research on neural networks and combinatorial optimization. She is a Melbourne Laureate Professor of applied mathematics at the University of Melbourne, and a former president of the Australian Mathematical Society.

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Kate Smith-Miles's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Neural Networks for Combinatorial Optimization: a Review of More Than a Decade of Research (1999) (147)
Hopfield neural networks for timetabling: formulations, methods, and comparative results (2003) (89)
Neural versus traditional approaches to the location of interacting hub facilities (1996) (72)
Neural Networks in Business: Techniques and Applications (2001) (69)
Manufacturing cell formation using a new self-organizing neural network (2002) (63)
Traditional heuristic versus Hopfield neural network approaches to a car sequencing problem (1996) (53)
Introduction to Neural Networks and Data Mining for Business Applications (2000) (39)
Neural Networks for Business: An Introduction (2002) (31)
A Scalable Method for Time Series Clustering (2004) (27)
Modelling the relationship between problem characteristics and data mining algorithm performance using neural networks (2001) (26)
Artificial neural networks and job-specific modules to assess occupational exposure. (2004) (21)
Solving Combinatorial Optimization Problems by Chaotic Neural Networks (1998) (17)
Chaos in the discretized analog Hopfield neural network and potential applications to optimization (1998) (17)
Solving the generalised quadratic assignment problem using a self-organising process (1995) (14)
Implementing a data mining solution for an automobile insurance company: reconciling theoretical benefits with practical considerations (2003) (13)
Neural Networks for Prediction and Classification (2005) (12)
Applications of the Growing Self Organizing Map on high dimensional data (2004) (12)
Enhancing clustering performance of feature maps using randomness (2005) (8)
Neural network models for combinatorial optimization: a survey of deterministic, stochastic and chaotic approaches (2002) (8)
Soft Computing in Communications (2005) (7)
Solving combinatorial optimisation problems using neural networks (1996) (7)
Cell formation using two neural nettworks in series (1998) (7)
Incorporating Choas into the Hopfield Neural Network for Combinatorial Optimisation (1998) (7)
A Comparison of Soft Computing and Traditional Approaches for Risk Classification and Claim Cost Prediction in the Automobile Insurance Industry (2003) (5)
A comparison of fitness functions for evolutionary rule generation (2000) (5)
Characteristic updating-normalisation dynamics of a self-organising neural network for enhanced combinatorial optimisation (2002) (4)
A Porter Framework for Understanding the Strategic Potential of Data Mining for the Australian Banking Industry (2004) (4)
The VSA Process for Oxygen Enrichment: Process Description and Dynamic Modeling Using Neural Networks (2003) (4)
Evolutionary Rule Generation in an Information System (1999) (4)
Self-Organizing Neural Approach for Solving the Quadratic Assignment Problem (1998) (4)
Facility Location Using Neural Networks (2000) (3)
An Efficient Compression Technique for Vertical Mining Methods (2007) (3)
Machine Grouping in Cellular Manufacturing: A Self Organizing Neural Network (1998) (3)
Characteristic-based Forecasting for Time Series Data (2005) (2)
Integrating feedforward and feedback neural networks for optimisation (1998) (2)
A new method for combinatorial optimization: genetic neighborhood search (2002) (2)
Evolutionary Rule Generation and its Application to Credit Scoring (2003) (2)
An improved Hopfield network approach to channel assignment in a cellular mobile communications network (1996) (2)
Efficient timetabling formulations for Hopfield neural networks (1999) (2)
Applications of neural networks (2005) (1)
Logsom: Web Usage Mining by a Self-organizing Map (2000) (1)
Combining supervised and unsupervised neural networks for improved cash flow forecasting (2002) (1)
Neural Networks for Software Metrics Estimation (1999) (1)
Adaptive estimation of distribution algorithm with maximum entropy principle (2003) (1)
Hierarchical neural networks for reducing systematic prediction errors (2001) (1)
A Comparison of Patient Classification Using Data Mining in Acute Health Care (2003) (1)
A self-organising neural network with intermittent switching dynamics for combinatorial optimisation (2003) (1)
Optimal Airport Hub Location Using Neural Networks (1997) (1)
A new self-organizing neural network for solving the travelling salesman problem (2001) (1)
Using data mining techniques to identify groups of patients with different consultation satisfaction in general practice (2004) (0)
Using Neural Networks to Model Premium Price Sensitivity of Automobile Insurance Customer (2002) (0)
Neural network based analysis of temporal search patterns in query logs (2004) (0)
Neural networks in business - Foreword (2000) (0)
the Generalised Quadratic Assignment Problem using a Self-organking Process (1995) (0)
Neural Networks for Software Estimation (1998) (0)
Improving the Optimisation of a Self-Organising Neural Network with Weight Normalisation (2000) (0)
Chaotic dynamics of the self-organising neural network with weight normalisation for combinatorial optimisation (2002) (0)
An association mining algorithm for distributed information sources (2002) (0)
Optimisation by Chaotic Simulated Annealing: A Comparative Study (1998) (0)
An optimisation methodology for multi parameter heuristics (2004) (0)
Towards data-driven acute in-patient classification schemes: a hospital management perspective (2005) (0)
Dynamic modelling using neural networks. Case study - pilot scale VSA process for oxygen production (2001) (0)
Towards distributed association rule mining privacy (2007) (0)
A performance comparison of chaotic simulated annealing models for solving the N-queen problem (2000) (0)
Special Issue Neural Networks In Business (2000) (0)
Efficient timetabling formulations for Hopfield Networks (1999) (0)
Using Neural Networks to Model Premium Price Sensitivity of Automobile Insurance Customers (2015) (0)
Neural network classification of malaria protein sequences (2001) (0)
A data-driven rule-based neural network model for classification (1999) (0)
Generation of Route Timetables using Self-Organizing Feature Maps (2000) (0)
Intelligent approaches to channel assignment in real wireless communication networks (1999) (0)

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Other Resources About Kate Smith-Miles

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What Schools Are Affiliated With Kate Smith-Miles?

Kate Smith-Miles is affiliated with the following schools:

Kate Smith-Miles's Academic­Influence.com Rankings

Kate Smith-Miles's Degrees

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Why Is Kate Smith-Miles Influential?

Kate Smith-Miles's Published Works

Published Works

Other Resources About Kate Smith-Miles

What Schools Are Affiliated With Kate Smith-Miles?

Kate Smith-Miles's AcademicInfluence.com Rankings