Paulo J. G. Lisboa

发表

ICA-Based Blind Source Separation (BSS) Recovery of the Pattern Electroretinogram (PERG) from Single Channel Records with Poor SNR

Wael El-Deredy, Anthony C. Fisher, R. P. Hagan, 2006 .

A Neural Predictive Controller For Underwater Robotic Applications

J. Lucas, Paulo J. G. Lisboa, Vassilis Kodogiannis, 1993, Workshop on Neural Network Applications and Tools.

Efficient identification of independence networks using mutual information

Davide Bacciu, Joe Whittaker, Paulo J. G. Lisboa, 2012, Computational Statistics.

Player load monitoring in sport: Predicting centre of mass acceleration from body-worn accelerometry

Jos Vanrenterghem, Paulo J. G. Lisboa, Mark Robinson, 2015 .

Implementation and performance evaluation of an on-line neural network control scheme

David Williams, J. B. Gomm, Paulo J. G. Lisboa, 1994 .

Development Of A Neural Network Model Based Controller For A Non-linear Process Application

J. B. Gomm, Paulo J. G. Lisboa, J. T. Evans, 1993, Workshop on Neural Network Applications and Tools.

Convergence of recursive associative memories obtained using the multilayered perceptron

Stavros J. Perantonis, Paulo J. G. Lisboa, 1990 .

Measuring academic stress ‘in the wild’ with wearable sensors: removal of noise from wearable sensor data using FIR filters

Chelsea Dobbins, Stephen H. Fairclough, Benjamin Harris, 2017 .

Music genre profiling based on Fisher manifolds and Probabilistic Quantum Clustering

Ian H. Jarman, Sandra Ortega-Martorell, Paulo J. G. Lisboa, 2020, Neural Computing and Applications.

Accurate multi-step-ahead prediction of non-linear systems using the MLP neural network with spread encoding

David Williams, J. B. Gomm, Paulo J. G. Lisboa, 1994 .

Explaining the Neural Network: A Case Study to Model the Incidence of Cervical Cancer

Sandra Ortega-Martorell, Paulo J. G. Lisboa, Ivan Olier, 2020, IPMU.

Long Range Predictive Controller for Underwater Robotic Vehicles using Recurrent Neural Networks

J. Lucas, Paulo J. G. Lisboa, Vassilis Kodogiannis, 1994 .

Modelling and control of plasma etching processes in the semiconductor industry

P. C. Russell, Paulo J. G. Lisboa, G. R. Jones, 1999 .

A Methodological Framework for Geographic Information Systems Development

M. Jones, Mark Taylor, Paulo J. G. Lisboa, 2017 .

Pruning RBF networks with QLP decomposition

Paulo J. G. Lisboa, Edwirde Luiz Silva, Andrés González Carmona, 2007 .

Identifying generalised segmental acceleration patterns that contribute to ground reaction force features across different running tasks.

Mark A. Robinson, Jos Vanrenterghem, Paulo J. G. Lisboa, 2019, Journal of science and medicine in sport.

Special Issue on Neural Networks

Paulo J. G. Lisboa, P. Lisboa, 1993 .

Comparison of neural network and binary logistic regression methods in conceptual design of tall steel buildings

Hassan Al Nageim, Ravindra Nagar, Paulo J. G. Lisboa, 2007 .

Pattern Recognition Analysis of MR Spectra

Sandra Ortega-Martorell, Paulo J. G. Lisboa, Margarida Julià-Sapé, 2016 .

Neural network identification and control of an underwater vehicle

J. Lucas, Paulo J. G. Lisboa, Vassilis Kodogiannis, 1997 .

Classical Training Methods

Emilio Soria, José D. Martín, Paulo J. G. Lisboa, 2006 .

Comparison of Nested Simulated Annealing and Reactive Tabu Search for Efficient Experimental Designs with Correlated Data

Roger W. Payne, Paulo J. G. Lisboa, Neil Coombes, 2002, COMPSTAT.

Neural network based predictive control systems for underwater robotic vehicles

J. Lucas, Paulo J. G. Lisboa, Vassilis Kodogiannis, 1994, Proceedings of ELECTRO '94.

The Interpretation Of Supervised Neural Networks

Paulo J. G. Lisboa, A. R. Mehridehnavi, P. A. Martin, 1993, Workshop on Neural Network Applications and Tools.