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P.J.G. Lisboa

Observed names: Lisboa, P., P J G Lisboa, P Lisboa, P. J. G. Lisboa, P. Lisboa, P.J.G. LISBOA, PJG Lisboa
OpenAlex ID: A5111965185
Translation, rotation, and scale invariant pattern recognition by high-order neural networks and moment classifiers
1992 · S.J. Perantonis, P.J.G. Lisboa · IEEE Transactions on Neural Networks · 227
Tumour grading from magnetic resonance spectroscopy: a comparison of feature extraction with variable selection
2002 · Y. Huang, P. J. G. Lisboa, et al. · Statistics in Medicine · 76
p53 Status Identifies Two Subgroups of Triple-negative Breast Cancers with Distinct Biological Features
2011 · E. Biganzoli, D. Coradini, et al. · Japanese Journal of Clinical Oncology · 61
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Special Issue on Neural Networks
1993 · P.J.G. Lisboa · Journal of Microcomputer Applications · 54
An Implementation of the Hough Transformation for the Identification and Labelling of Fixed Period Sinusoidal Curves
1999 · K. Glossop, P.J.G. Lisboa, et al. · Computer Vision and Image Understanding · 46
Complete solution of the local minima in the XOR problem
1991 · P Lisboa, S Perantonis · Network Computation in Neural Systems · 40
Selective smoothing of the generative topographic mapping
2003 · A. Vellido, W. El-Deredy, et al. · IEEE Transactions on Neural Networks · 34
Discrete subsets of SU(3) for lattice gauge theory
1982 · P. Lisboa, C. Michael · Physics Letters B · 24
Enhancing the non-linear modelling capabilities of MLP neural networks using spread encoding
1996 · J.B. Gomm, D. Williams, et al. · Fuzzy Sets and Systems · 16
Use of canned rotors in high-field permanent magnet machines
1992 · K.J. Binns, M.S.N. Al-Din, et al. · IEE Proceedings B Electric Power Applications · 14
Lattices in group manifolds: Applications to lattice gauge theory
1982 · P. Lisboa, C. Michael · Nuclear Physics B · 12
The use of canned rotors in high speed permanent magnet machines
1991 · K.J. Binns, P.J.G. Lisboa, et al. · 11
Identification and definition of novel clinical phenotypes of breast cancer through consensus derived from automated clustering methods
2008 · AR Green, JM Garibaldi, et al. · Breast Cancer Research · 9
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The Interpretation Of Supervised Neural Networks
2005 · P.J.G. Lisboa, A.R. Mehridehnavi, et al. · Workshop on Neural Network Applications and Tools (NNAT) · 9
Resolution Capabilities of Chromatic Sensing in the Monitoring of Semiconductor Plasma Processing Systems
1997 · R.J. YU, P.J.G. LISBOA, et al. · Nondestructive Testing And Evaluation · 8
Accurate multi-step-ahead prediction of non-linear systems using the MLP neural network with spread encoding
1994 · J.B. Gomm, P.J.G. Lisboa, et al. · Transactions of the Institute of Measurement and Control · 7
Invariant pattern recognition using third-order networks and Zernike moments
1991 · P.J.G. Lisboa, S.J. Perantonis · International Joint Conference on Neural Networks (IJCNN) · 7
Removal of eye movement artefacts from single channel recordings of retinal evoked potentials using synchronous dynamical embedding and independent component analysis
2006 · A. C. Fisher, W. El-Deredy, et al. · Medical & Biological Engineering & Computing · 6
Invariant digit recognition by Zernike moments and third-order neural networks
1991 · P.J.G. Lisboa, Stavros Perantonis · International Conference on Artificial Neural Networks · 5
Dealing with censorship in neural network models
2003 · H. Wong, P. Harris, et al. · International Joint Conference on Neural Networks (IJCNN) · 4
The modelling of plasma etching processes using neural network and statistical techniques
2002 · H. Meng, P.J.G. Lisboa, et al. · The proceedings of the IEEE Conference on Control Applications/The proceedings of the ... IEEE Conference on Control Applications · 4
Modelling and control of plasma etching processes in the semiconductor industry
1999 · H. Meng, P.C. Russell, et al. · Computers & Industrial Engineering · 4
Parameter monitoring using neural-network-processedchromaticity
1997 · S. Ahmed, P. Russell, et al. · IEE Proceedings - Science Measurement and Technology · 4
Neural network based predictive control systems for underwater robotic vehicles
1994 · V.S. Kodogiannis, P.J.G. Lisboa, et al. · ELECTRO International Conference · 4
Efficient Estimation of General Additive Neural Networks: A Case Study for CTG Data
2020 · P. J. G. Lisboa, S. Ortega-Martorell, et al. · Communications in computer and information science · 3
Works count: 48
Citation count: 712
H-index: 11
I10-index: 12
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