Robert F. Harrison

Orcid: 0000-0002-9323-8637

According to our database1, Robert F. Harrison authored at least 56 papers between 1991 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Stealth Data Injection Attacks With Sparsity Constraints.
IEEE Trans. Smart Grid, July, 2023

2022
A methodology to optimise a rail network specification for maximum passenger satisfaction and reduced initial investment.
J. Rail Transp. Plan. Manag., 2022

An information theoretic vulnerability metric for data integrity attacks on smart grids.
CoRR, 2022

Power Injection Measurements are more Vulnerable to Data Integrity Attacks than Power Flow Measurements.
CoRR, 2022

2020
Information Theoretic Data Injection Attacks with Sparsity Constraints.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019
A rail network performance metric to capture passenger experience.
J. Rail Transp. Plan. Manag., 2019

2018
RateSetter: roadmap for faster, safer, and better platform train interface design and operation using evolutionary optimisation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
Technology for Early Detection of Depression and Anxiety in Older People.
Proceedings of the Harnessing the Power of Technology to Improve Lives, 2017

2015
Prognostics of gas turbine engine: An integrated approach.
Expert Syst. Appl., 2015

Bayesian Hierarchical Models for aerospace gas turbine engine prognostics.
Expert Syst. Appl., 2015

An algorithm for Morphological classification of motile human sperm.
Proceedings of the Sensor Data Fusion: Trends, Solutions, Applications, 2015

2011
A sparse multinomial probit model for classification.
Pattern Anal. Appl., 2011

A multi-class pattern recognition method for motor imagery EEG data.
Proceedings of the IEEE International Conference on Systems, 2011

2010
A simple iterative algorithm for parsimonious binary kernel Fisher discrimination.
Pattern Anal. Appl., 2010

A fast automatic construction algorithm for kernel fisher discriminant classifiers.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Sparse multinomial kernel discriminant analysis (sMKDA).
Pattern Recognit., 2009

Probabilistic classification of acute myocardial infarction from multiple cardiac markers.
Pattern Anal. Appl., 2009

2008
Automatic covariate selection in logistic models for chest pain diagnosis: A new approach.
Comput. Methods Programs Biomed., 2008

2007
Relational visual cluster validity (RVCV).
Pattern Recognit. Lett., 2007

Evaluation of machine-learning methods for ligand-based virtual screening.
J. Comput. Aided Mol. Des., 2007

Practical estimation of Volterra filters of arbitrary degree.
Int. J. Control, 2007

Parsimonious Kernel Fisher Discrimination.
Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007

2006
Virtual Screening Using Binary Kernel Discrimination: Analysis of Pesticide Data.
J. Chem. Inf. Model., 2006

Virtual Screening Using Binary Kernel Discrimination: Effect of Noisy Training Data and the Optimization of Performance.
J. Chem. Inf. Model., 2006

An automated pattern recognition system for the quantification of inflammatory cells in hepatitis-C-infected liver biopsies.
Image Vis. Comput., 2006

Theory of Neural Information Processing Systems by A. Coolen, R. Kühn and P. Sollich: <i>OUP, Oxford, 2005</i>.
IMA J. Math. Control. Inf., 2006

2005
Application of fuzzy ARTMAP and fuzzy <i>c</i>-means clustering to pattern classification with incomplete data.
Neural Comput. Appl., 2005

2004
The gradient iteration for approximation in reproducing kernel Hilbert spaces.
IMA J. Math. Control. Inf., 2004

Boosting the Performance of the Fuzzy Min-Max Neural Network in Pattern Classification Tasks.
Proceedings of the Applied Soft Computing Technologies: The Challenge of Complexity, Proceedings of the 9th Online World Conference on Soft Computing in Industrial Applications (WSC9), September 20th, 2004

2003
Online pattern classification with multiple neural network systems: an experimental study.
IEEE Trans. Syst. Man Cybern. Part C, 2003

Adaptive kernel-based equalization for non-stationary digital communications channels.
Int. J. Syst. Sci., 2003

On Operating Strategies of the Fuzzy Artmap Neural Network: A Comparative Study.
Int. J. Comput. Intell. Appl., 2003

An ART-Based Hybrid Network for Medical Pattern Classification Tasks with Missing Data.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

2002
Digital communications channel equalization using the Kernel Adaline.
IEEE Trans. Commun., 2002

Editorial: IJSS special issue on 'Support Vector and Kernel Methods'.
Int. J. Syst. Sci., 2002

2001
A new method for sparsity control in support vector classification and regression.
Pattern Recognit., 2001

2000
A novel algorithmic approach to the integration of posterior knowledge into condition-monitoring systems.
Int. J. Syst. Sci., 2000

Identifying Discriminant Features in the Histopathology Diagnosis of Inflammatory Bowel Disease Using a Novel Variant of the Growing Cell Structure Network Technique.
Proceedings of the Artificial Neural Networks in Medicine and Biology, 2000

Intelligent Decision Support Systems in the Cytodiagnosis of Breast Carcinoma.
Proceedings of the Artificial Neural Networks in Biomedicine, 2000

1999
A kernel-based Adaline for function approximation.
Intell. Data Anal., 1999

Combination of decisions from a multiple neural network classifier system.
Proceedings of the Third International Conference on Knowledge-Based Intelligent Information Engineering Systems, 1999

Support vector regression and NARMAX system identification.
Proceedings of the 5th European Control Conference, 1999

A kernel based adaline.
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

An efficient formulation of sparsity controlled support vector regression.
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

1998
A decision support tool for the diagnosis of breast cancer based upon Fuzzy ARTMAP.
Neural Comput. Appl., 1998

1997
An Incremental Adaptive Network for On-line Supervised Learning and Probability Estimation.
Neural Networks, 1997

Modified Fuzzy ARTMAP Approaches Bayes Optimal Classification Rates: An Empirical Demonstration.
Neural Networks, 1997

Application of autonomous neural network systems to medical pattern classification tasks.
Artif. Intell. Medicine, 1997

1996
Application of the fuzzy ARTMAP neural network model to medical pattern classification tasks.
Artif. Intell. Medicine, 1996

1995
A modified fuzzy ARTMAP architecture for the approximation of noisy mappings.
Neural Networks, 1995

GR2: A Hybrid Knowledge-based System Using General Rules.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

Minimal Error Rate Classification in a Non-stationary Environment via a Modified Fuzzy ARTMAP Network.
Proceedings of the Artificial Neural Nets and Genetic Algorithms, 1995

The Use of Fuzzy ARTMAP to Identify Low Risk Coronary Care Patients.
Proceedings of the Artificial Neural Nets and Genetic Algorithms, 1995

A Prototype Neural Network Decision-Support Tool for the Early Diagnosis of Acute Myocardial Infarction.
Proceedings of the Artificial Intelligence Medicine, 1995

Evaluating a Neural Network Decision-Support Tool for the Diagnosis of Breast Cancer.
Proceedings of the Artificial Intelligence Medicine, 1995

1991
A Connectionist Aid to the Early Diagnosis of Myocardial Infarction.
Proceedings of the AIME 91, 1991


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