Paulo J. G. Lisboa

According to our database, Paulo J. G. Lisboa authored at least 149 papers between 1992 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

How to Open a Black Box Classifier for Tabular Data.

Bradley Walters, Sandra Ortega-Martorell, Iván Olier, Paulo J. G. Lisboa

Algorithms, April, 2023

The coming of age of interpretable and explainable machine learning models.

Paulo J. G. Lisboa, Sascha Saralajew, Alfredo Vellido, Ricardo Fernández-Domenech, Thomas Villmann

Neurocomputing, 2023

2022

Explainable inflation forecasts by machine learning models.

Serkan Aras, Paulo J. G. Lisboa

Expert Syst. Appl., 2022

Towards interpretable machine learning for clinical decision support.

Bradley Walters, Sandra Ortega-Martorell, Iván Olier, Paulo J. G. Lisboa

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes.

Paul Fergus, Carl Chalmers, Casimiro Aday Curbelo Montañez, Denis Reilly, Paulo Lisboa, Beth Pineles

IEEE Trans. Emerg. Top. Comput. Intell., 2021

Music genre profiling based on Fisher manifolds and Probabilistic Quantum Clustering.

Raúl V. Casaña Eslava, Ian H. Jarman, Sandra Ortega-Martorell, Paulo J. G. Lisboa, José David Martín-Guerrero

Neural Comput. Appl., 2021

The partial response SVM.

Bradley Walters, Sandra Ortega-Martorell, Iván Olier, Paulo Lisboa

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

The Coming of Age of Interpretable and Explainable Machine Learning Models.

Paulo Lisboa, Sascha Saralajew, Alfredo Vellido, Thomas Villmann

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020

A Novel Approach to Detecting Epistasis using Random Sampling Regularisation.

Jade Hind, Paulo Lisboa, Abir Jaafar Hussain, Dhiya Al-Jumeily

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Utilizing Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women.

Paul Fergus, Casimiro Aday Curbelo Montañez, Basma Abdulaimma, Paulo Lisboa, Carl Chalmers, Beth Pineles

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Probabilistic quantum clustering.

Raúl V. Casaña Eslava, Paulo J. G. Lisboa, Sandra Ortega-Martorell, Ian H. Jarman, José David Martín-Guerrero

Knowl. Based Syst., 2020

Efficient Estimation of General Additive Neural Networks: A Case Study for CTG Data.

Paulo J. G. Lisboa, Sandra Ortega-Martorell, Manoj Jayabalan, Iván Olier

Proceedings of the ECML PKDD 2020 Workshops, 2020

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

Paulo J. G. Lisboa, Sandra Ortega-Martorell, Iván Olier

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

2019

The Partial Response Network.

Paulo J. G. Lisboa, Sandra Ortega-Martorell, Sadie Cashman, Iván Olier

CoRR, 2019

A Probabilistic framework for Quantum Clustering.

Raúl V. Casaña Eslava, Paulo J. G. Lisboa, Sandra Ortega-Martorell, Ian H. Jarman, José David Martín-Guerrero

CoRR, 2019

Classifying and Grouping Mammography Images into Communities Using Fisher Information Networks to Assist the Diagnosis of Breast Cancer.

Meenal Srivastava, Iván Olier, Patrick Riley, Paulo Lisboa, Sandra Ortega-Martorell

Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019

A Voting Ensemble Method to Assist the Diagnosis of Prostate Cancer Using Multiparametric MRI.

Patrick Riley, Iván Olier, Marc Rea, Paulo Lisboa, Sandra Ortega-Martorell

Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019

Scalable implementation of measuring distances in a Riemannian manifold based on the Fisher Information metric.

Raúl V. Casaña Eslava, José David Martín-Guerrero, Sandra Ortega-Martorell, Paulo J. G. Lisboa, Ian H. Jarman

Proceedings of the International Joint Conference on Neural Networks, 2019

Comparative Analysis for Computer-Based Decision Support: Case Study of Knee Osteoarthritis.

Philippa Grace McCabe, Iván Olier, Sandra Ortega-Martorell, Ian H. Jarman, Vasilios Baltzopoulos, Paulo Lisboa

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Societal Issues in Machine Learning: When Learning from Data is Not Enough.

Davide Bacciu, Battista Biggio, Paulo Lisboa, José D. Martín, Luca Oneto, Alfredo Vellido

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Convolutional neural network for cognitive task prediction from EEG's auditory steady state responses.

Daniela Montilla-Trochez, Rodrigo Salas, Alejandro Bertin, Inga Griskova-Bulanova, Paulo Lisboa, Carolina Saavedra

Proceedings of the 5th Congress on Robotics and Neuroscience, 2019

2018

Utilising Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women.

Paul Fergus, Casimiro Aday Curbelo Montañez, Basma Abdulaimma, Paulo Lisboa, Carl Chalmers

CoRR, 2018

A Lifelogging Platform Towards Detecting Negative Emotions in Everyday Life using Wearable Devices.

Chelsea Dobbins, Stephen Fairclough, Paulo Lisboa, Félix Fernando González-Navarro

Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

Bioinformatics and medicine in the era of deep learning.

Davide Bacciu, Paulo Lisboa, José D. Martín, Ruxandra Stoean, Alfredo Vellido

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Robust Interpretation of Genomic Data in Chronic Obstructive Pulmonary Disease (COPD).

Jade Hind, Abir Hussain, Dhiya Al-Jumeily, Casimiro Aday Curbelo Montañez, Carl Chalmers, Paulo Lisboa

Proceedings of the 11th International Conference on Developments in eSystems Engineering, 2018

Predicting Freezing of Gait in Parkinsons Disease Patients Using Machine Learning.

Natasa K. Orphanidou, Abir Hussain, Robert Keight, Paulo Lisboa, Jade Hind, Haya Al-Askar

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

A Data Science Methodology Based on Machine Learning Algorithms for Flood Severity Prediction.

Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Thar Baker, Robert Keight, Paulo Lisboa, Paul Fergus, Ala S. Al Kafri

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Improving Type 2 Diabetes Phenotypic Classification by Combining Genetics and Conventional Risk Factors.

Basma Abdulaimma, Abir Hussain, Paul Fergus, Dhiya Al-Jumeily, Paulo Lisboa, De-Shuang Huang, Naeem Radi

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

Quantum clustering in non-spherical data distributions: Finding a suitable number of clusters.

Raúl V. Casaña Eslava, Ian H. Jarman, Paulo J. G. Lisboa, José David Martín-Guerrero

Neurocomputing, 2017

A robust method for the interpretation of genomic data.

Jade Hind, Abir Jaafar Hussain, Dhiya Al-Jumeily, Basma Abdulaimma, Casimiro Aday Curbelo Montañez, Paulo J. G. Lisboa

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Physics and Machine Learning: Emerging Paradigms.

José David Martín-Guerrero, Paulo J. G. Lisboa, Alfredo Vellido

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Performance assessment of quantum clustering in non-spherical data distributions.

Raúl V. Casaña Eslava, José David Martín-Guerrero, Ian H. Jarman, Paulo J. G. Lisboa

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015

Probabilistic Modeling in Machine Learning.

Davide Bacciu, Paulo J. G. Lisboa, Alessandro Sperduti, Thomas Villmann

Proceedings of the Springer Handbook of Computational Intelligence, 2015

Hybrid Neural Network Predictive-Wavelet Image Compression System.

Abir Jaafar Hussain, Dhiya Al-Jumeily, Naeem Radi, Paulo Lisboa

Neurocomputing, 2015

Wavelet-based gene selection method for survival prediction in diffuse large B-cell lymphomas patients.

Maryam Farhadian, Hossein Mahjub, Abbas Moghimbeigi, Paulo J. G. Lisboa, Jalal Poorolajal, Muharram Mansoorizadeh

Int. J. Data Min. Bioinform., 2015

Making nonlinear manifold learning models interpretable: The manifold grand tour.

Paulo J. G. Lisboa, José David Martín-Guerrero, Alfredo Vellido

Expert Syst. Appl., 2015

From raw data to data-analysis for magnetic resonance spectroscopy - the missing link: jMRUI2XML.

Victor Mocioiu, Sandra Ortega-Martorell, Iván Olier, Michal Jablonski, Jana Starcuková, Paulo Lisboa, Carles Arús, Margarida Julià-Sapé

BMC Bioinform., 2015

Measuring scoring efficiency through goal expectancy estimation.

Héctor Ruiz, Paulo Lisboa, Paul Neilson, Warren Gregson

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014

Website design: Technical, social and medical issues for self-reporting by elderly patients.

Mark John Taylor, Rod Stables, Bashir Matata, Paulo J. G. Lisboa, Andy Laws, Peter Almond

Health Informatics J., 2014

White box radial basis function classifiers with component selection for clinical prediction models.

Vanya Van Belle, Paulo Lisboa

Artif. Intell. Medicine, 2014

Automatic relevance source determination in human brain tumors using Bayesian NMF.

Sandra Ortega-Martorell, Iván Olier, Margarida Julià-Sapé, Carles Arús, Paulo J. G. Lisboa

Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

Semi-supervised source extraction methodology for the nosological imaging of glioblastoma response to therapy.

Sandra Ortega-Martorell, Iván Olier, Teresa Delgado-Goni, Magdalena Ciezka, Margarida Julià-Sapé, Paulo J. G. Lisboa, Carles Arús

Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

A framework for initialising a dynamic clustering algorithm: ART2-A.

Simon J. Chambers, Ian H. Jarman, Paulo J. G. Lisboa

Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

Use of q-values to Improve a Genetic Algorithm to Identify Robust Gene Signatures.

Daniel Urda, Simon J. Chambers, Ian H. Jarman, Paulo J. G. Lisboa, Leonardo Franco, José M. Jerez

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2014

2013

Discriminant Convex Non-negative Matrix Factorization for the classification of human brain tumours.

Albert Vilamala, Paulo J. G. Lisboa, Sandra Ortega-Martorell, Alfredo Vellido

Pattern Recognit. Lett., 2013

A principled approach to network-based classification and data representation.

Héctor Ruiz, Terence A. Etchells, Ian H. Jarman, José David Martín-Guerrero, Paulo J. G. Lisboa

Neurocomputing, 2013

Efficient identification of independence networks using mutual information.

Davide Bacciu, Terence A. Etchells, Paulo J. G. Lisboa, Joe Whittaker

Comput. Stat., 2013

Introduction.

Riccardo Rizzo, Paulo J. G. Lisboa

BMC Bioinform., 2013

Finding reproducible cluster partitions for the k-means algorithm.

Paulo J. G. Lisboa, Terence A. Etchells, Ian H. Jarman, Simon J. Chambers

BMC Bioinform., 2013

Interpretability in Machine Learning - Principles and Practice.

Paulo J. G. Lisboa

Proceedings of the Fuzzy Logic and Applications - 10th International Workshop, 2013

Research directions in interpretable machine learning models.

Vanya Van Belle, Paulo Lisboa

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Automated selection of interaction effects in sparse kernel methods to predict pregnancy viability.

Vanya Van Belle, Paulo Lisboa

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

2012

Cohort-based kernel visualisation with scatter matrices.

Enrique Romero, Tingting Mu, Paulo J. G. Lisboa

Pattern Recognit., 2012

Testing geographical information systems: a case study in a fire prevention support system.

Mark Taylor, Emma Higgins, Paulo Lisboa

J. Syst. Inf. Technol., 2012

Non-negative matrix factorisation methods for the spectral decomposition of MRS data from human brain tumours.

Sandra Ortega-Martorell, Paulo J. G. Lisboa, Alfredo Vellido, Margarida Julià-Sapé, Carles Arús

BMC Bioinform., 2012

Bayesian Neural Network Applied in Medical Survival Analysis of Primary Biliary Cirrhosis.

Corneliu T. C. Arsene, Paulo J. G. Lisboa

Proceedings of the 14th International Conference on Computer Modelling and Simulation, 2012

Towards interpretable classifiers with blind signal separation.

Héctor Ruiz, Ian H. Jarman, José David Martín-Guerrero, Sandra Ortega-Martorell, Alfredo Vellido, Enrique Romero, Paulo J. G. Lisboa

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Bayesian Neural Network with and without compensation for competing risks.

Corneliu T. C. Arsene, Paulo J. G. Lisboa

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Making machine learning models interpretable.

Alfredo Vellido, José David Martín-Guerrero, Paulo J. G. Lisboa

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Constructing similarity networks using the Fisher information metric.

Héctor Ruiz, Sandra Ortega-Martorell, Ian H. Jarman, José David Martín-Guerrero, Paulo J. G. Lisboa

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Multicentre study design in survival analysis.

Corneliu T. C. Arsene, Paulo J. G. Lisboa

Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012

2011

Clustering of protein expression data: a benchmark of statistical and neural approaches.

Ian H. Jarman, Terence A. Etchells, Davide Bacciu, Jonathan M. Garibaldi, Ian O. Ellis, Paulo J. G. Lisboa

Soft Comput., 2011

Issues in online patient self-reporting of health status.

Malcolm J. Taylor, Bashir Matata, Rod Stables, Andy Laws, D. England, Paulo J. G. Lisboa

Health Informatics J., 2011

Model Selection with PLANN-CR-ARD.

Corneliu T. C. Arsene, Paulo J. G. Lisboa, Elia Biganzoli

Proceedings of the Advances in Computational Intelligence, 2011

Spectral decomposition methods for the analysis of MRS information from human brain tumors.

Sandra Ortega-Martorell, Alfredo Vellido, Paulo J. G. Lisboa, Margarida Julià-Sapé, Carles Arús

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

PLANN-CR-ARD model predictions and Non-parametric estimates with Confidence Intervals.

Corneliu T. C. Arsene, Paulo J. G. Lisboa

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Brain Tumor Pathological Area Delimitation through Non-negative Matrix Factorization.

Sandra Ortega-Martorell, Paulo J. G. Lisboa, Alfredo Vellido, Rui V. Simões, Margarida Julià-Sapé, Carles Arús

Proceedings of the Data Mining Workshops (ICDMW), 2011

Seeing is believing: The importance of visualization in real-world machine learning applications.

Alfredo Vellido, José David Martín-Guerrero, Fabrice Rossi, Paulo J. G. Lisboa

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

The role of Fisher information in primary data space for neighbourhood mapping.

Héctor Ruiz, Ian H. Jarman, José David Martín-Guerrero, Paulo J. G. Lisboa

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

Scenario Analysis for Local Area Life Expectancy Using Conditional Independence Maps.

Ian H. Jarman, Terence A. Etchells, C. Perkins, M. A. Bellis, Paulo J. G. Lisboa

Proceedings of the 2011 Developments in E-systems Engineering, 2011

Clustering categorical data: A stability analysis framework.

Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa, C. M. Beynon, José David Martín-Guerrero

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

Discovering Hidden Pathways in Bioinformatics.

Paulo J. G. Lisboa, Ian H. Jarman, Terence A. Etchells, Simon J. Chambers, Davide Bacciu, Joe Whittaker, Jonathan M. Garibaldi, Sandra Ortega-Martorell, Alfredo Vellido, Ian O. Ellis

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2011

2010

Data Mining in Cancer Research [Application Notes].

Paulo J. G. Lisboa, Alfredo Vellido, Roberto Tagliaferri, Francesco Napolitano, Michele Ceccarelli, José David Martín-Guerrero, Elia Biganzoli

IEEE Comput. Intell. Mag., 2010

A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients.

Daniele Soria, Jonathan M. Garibaldi, Federico Ambrogi, Andrew R. Green, Des Powe, Emad A. Rakha, R. Douglas Macmillan, Roger W. Blamey, Graham R. Ball, Paulo J. G. Lisboa, Terence A. Etchells, Patrizia Boracchi, Elia Biganzoli, Ian O. Ellis

Comput. Biol. Medicine, 2010

Comparison of Artificial Neural Network with Logistic Regression as Classification Models for Variable Selection for Prediction of Breast Cancer Patient Outcomes.

Valérie Bourdès, Stéphane Bonnevay, Paulo J. G. Lisboa, Rémy Defrance, David Pérol, Sylvie Chabaud, Thomas Bachelot, Thérèse Gargi, Sylvie Négrier

Adv. Artif. Neural Syst., 2010

Cohort-based kernel visualisation with scatter matrices.

Enrique Romero, Ana Sofia Fernandes, Tingting Mu, Paulo J. G. Lisboa

Proceedings of the International Joint Conference on Neural Networks, 2010

Assessment of benefit vs. risk of drug therapy: The potential for outcome analysis with flexible models.

Paulo J. G. Lisboa, Ana Sofia Fernandes, José Manuel Fonseca, Chris Bajdik, Elia Biganzoli

Proceedings of the International Joint Conference on Neural Networks, 2010

Flexible parametric modelling of the hazard function in breast cancer studies.

Ilaria Ardoino, Federico Ambrogi, Chris Bajdik, Paulo J. G. Lisboa, Elia Biganzoli, Patrizia Boracchi

Proceedings of the International Joint Conference on Neural Networks, 2010

A Clinical Decision Support System for Breast Cancer Patients.

Ana S. Fernandes, Pedro Alves, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Paulo J. G. Lisboa

Proceedings of the Emerging Trends in Technological Innovation, 2010

Computational Intelligence in biomedicine: Some contributions.

Paulo J. G. Lisboa, Alfredo Vellido, José David Martín-Guerrero

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2009

Short-term time-to-event model of response to treatment following the GIMEMA protocol for Acute Myeloid Leukaemia.

Paulo J. G. Lisboa, Ian H. Jarman, Terence A. Etchells, Federico Ambrogi, Ilaria Ardoino, Marco Vignetti, Elia Biganzoli

Proceedings of the Computational Intelligence and Bioengineering, 2009

An AI Walk from Pharmacokinetics to A Marketing.

José David Martín-Guerrero, Emilio Soria-Olivas, Paulo J. G. Lisboa, Antonio J. Serrano-López

Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

Partial Logistic Artificial Neural Network for Competing Risks Regularized With Automatic Relevance Determination.

Paulo J. G. Lisboa, Terence A. Etchells, Ian H. Jarman, Corneliu T. C. Arsene, Min S. Hane Aung, Antonio Eleuteri, Azzam Fouad George Taktak, Federico Ambrogi, Patrizia Boracchi, Elia Biganzoli

IEEE Trans. Neural Networks, 2009

Novel hybrid classified vector quantization using discrete cosine transform for image compression.

Ali Al-Fayadh, Abir Jaafar Hussain, Paulo J. G. Lisboa, Dhiya Al-Jumeily

J. Electronic Imaging, 2009

Survival analysis in cancer using a partial logistic neural network model with Bayesian regularisation framework: a validation study.

Azzam Fouad George Taktak, Antonio Eleuteri, Min S. Hane Aung, Paulo J. G. Lisboa, Laurence Desjardins, Bertil E. Damato

Int. J. Knowl. Eng. Soft Data Paradigms, 2009

Editorial.

Leif E. Peterson, Paulo J. G. Lisboa

Int. J. Knowl. Eng. Soft Data Paradigms, 2009

Evaluation of missing data imputation in longitudinal cohort studies in breast cancer survival.

Ana S. Fernandes, José Manuel Fonseca, Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa, Elia Biganzoli, Chris Bajdik

Int. J. Knowl. Eng. Soft Data Paradigms, 2009

Determination of mode of ventilation using OSRE.

D. Faulke, Terence A. Etchells, M. J. Harrison, Paulo J. G. Lisboa

Comput. Biol. Medicine, 2009

How to find simple and accurate rules for viral protease cleavage specificities.

Thorsteinn S. Rögnvaldsson, Terence A. Etchells, Liwen You, Daniel Garwicz, Ian H. Jarman, Paulo J. G. Lisboa

BMC Bioinform., 2009

Grocery shopping recommendations based on basket-sensitive random walk.

Ming Li, M. Benjamin Dias, Ian H. Jarman, Wael El-Deredy, Paulo J. G. Lisboa

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Stratification Methodologies for Neural Networks Models of Survival.

Ana S. Fernandes, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Elia Biganzoli, Chris Bajdik, Paulo J. G. Lisboa

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Patient stratification with competing risks by multivariate Fisher distance.

Davide Bacciu, Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa

Proceedings of the International Joint Conference on Neural Networks, 2009

Adaptive Classified Vector Quantisation of Non-orthogonal Representations of Images and its Application to Image Compression.

Abir Jaafar Hussain, Dhiya Al-Jumeily, Paulo J. G. Lisboa

Proceedings of the First International Conference on Computational Intelligence, 2009

Different Methodologies for Patient Stratification Using Survival Data.

Ana S. Fernandes, Davide Bacciu, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Paulo J. G. Lisboa

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2009

2008

Cluster-based visualisation with scatter matrices.

Paulo J. G. Lisboa, Ian O. Ellis, Andrew R. Green, Federico Ambrogi, M. Benjamin Dias

Pattern Recognit. Lett., 2008

Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer.

Paulo J. G. Lisboa, Terence A. Etchells, Ian H. Jarman, M. S. Hane Aung, Sylvie Chabaud, Thomas Bachelot, David Pérol, Thérèse Gargi, Valérie Bourdès, Stéphane Bonnevay, Sylvie Négrier

Neural Networks, 2008

Financial time series prediction using polynomial pipelined neural networks.

Abir Jaafar Hussain, Adam Knowles, Paulo J. G. Lisboa, Wael El-Deredy

Expert Syst. Appl., 2008

An integrated framework for risk profiling of breast cancer patients following surgery.

Ian H. Jarman, Terence A. Etchells, José David Martín-Guerrero, Paulo J. G. Lisboa

Artif. Intell. Medicine, 2008

The value of personalised recommender systems to e-business: a case study.

M. Benjamin Dias, Dominique Locher, Ming Li, Wael El-Deredy, Paulo J. G. Lisboa

Proceedings of the 2008 ACM Conference on Recommender Systems, 2008

Stratification of Severity of Illness Indices: A Case Study for Breast Cancer Prognosis.

Terence A. Etchells, Ana S. Fernandes, Ian H. Jarman, José Manuel Fonseca, Paulo J. G. Lisboa

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

Are Model-Based Clustering and Neural Clustering Consistent? A Case Study from Bioinformatics.

Davide Bacciu, Elia Biganzoli, Paulo J. G. Lisboa, Antonina Starita

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

An adaptive hybrid image compression method and its application to medical images.

Ali Al-Fayadh, Abir Jaafar Hussain, Paulo J. G. Lisboa, Dhiya Al-Jumeily

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

External Validation of a Bayesian Neural Network Model in Survival Analysis.

Azzam F. Taktak, Antonio Eleuteri, M. S. Hane Aung, Paulo J. G. Lisboa, Laurence Desjardins, Bertil E. Damato

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Classification, Dimensionality Reduction, and Maximally Discriminatory Visualization of a Multicentre 1H-MRS Database of Brain Tumors.

Paulo J. G. Lisboa, Enrique Romero, Alfredo Vellido, Margarida Julià-Sapé, Carles Arús

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Missing Data Imputation in Longitudinal Cohort Studies: Application of PLANN-ARD in Breast Cancer Survival.

Ana S. Fernandes, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Elia Biganzoli, Chris Bajdik, Paulo J. G. Lisboa

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Machine learning in cancer research: implications for personalised medicine.

Alfredo Vellido, Elia Biganzoli, Paulo J. G. Lisboa

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

An Adaptive Hybrid Classified Vector Quantisation and its Application to Image Compression.

Ali Al-Fayadh, Abir Jaafar Hussain, Paulo J. G. Lisboa, Dhiya Al-Jumeily

Proceedings of the EMS 2008, 2008

2007

Removal of eye movement artefacts from single channel recordings of retinal evoked potentials using <i>synchronous</i> dynamical embedding and independent component analysis.

A. C. Fisher, Wael El-Deredy, R. P. Hagan, M. C. Brown, Paulo J. G. Lisboa

Medical Biol. Eng. Comput., 2007

An approach based on the Adaptive Resonance Theory for analysing the viability of recommender systems in a citizen Web portal.

José David Martín-Guerrero, Paulo J. G. Lisboa, Emilio Soria-Olivas, Alberto Palomares, Emili Balaguer

Expert Syst. Appl., 2007

Double-blind evaluation and benchmarking of survival models in a multi-centre study.

Azzam F. Taktak, Laura Antolini, Min S. Hane Aung, Patrizia Boracchi, Ian Campbell, Bertil E. Damato, Emmanuel C. Ifeachor, Nicola Lama, Paulo J. G. Lisboa, Christian Setzkorn, Viktoriya Stalbovskaya, Elia Biganzoli

Comput. Biol. Medicine, 2007

A probabilistic model for item-based recommender systems.

Ming Li, M. Benjamin Dias, Wael El-Deredy, Paulo J. G. Lisboa

Proceedings of the 2007 ACM Conference on Recommender Systems, 2007

Neural Networks and Other Machine Learning Methods in Cancer Research.

Alfredo Vellido, Paulo J. G. Lisboa

Proceedings of the Computational and Ambient Intelligence, 2007

A Prototype Integrated Decision Support System for Breast Cancer Oncology.

Paulo J. G. Lisboa, Ian H. Jarman, Terence A. Etchells, Phillip Ramsey

Proceedings of the Computational and Ambient Intelligence, 2007

Comparing Analytical Decision Support Models Through Boolean Rule Extraction: A Case Study of Ovarian Tumour Malignancy.

M. S. Hane Aung, Paulo J. G. Lisboa, Terence A. Etchells, Antonia C. Testa, Ben Van Calster, Sabine Van Huffel, Lil Valentin, Dirk Timmerman

Proceedings of the Advances in Neural Networks, 2007

Assessing flexible models and rule extraction from censored survival data.

Paulo J. G. Lisboa, Elia Biganzoli, Azzam F. Taktak, Terence A. Etchells, Ian H. Jarman, M. S. Hane Aung, Federico Ambrogi

Proceedings of the International Joint Conference on Neural Networks, 2007

Evaluating Retail Recommender Systems via Retrospective Data: Lessons Learnt from a Live-Intervention Study.

Carmen M. Sordo-Garcia, M. Benjamin Dias, Ming Li, Wael El-Deredy, Paulo J. G. Lisboa

Proceedings of the 2007 International Conference on Data Mining, 2007

2006

Orthogonal search-based rule extraction (OSRE) for trained neural networks: a practical and efficient approach.

Terence A. Etchells, Paulo J. G. Lisboa

IEEE Trans. Neural Networks, 2006

The use of artificial neural networks in decision support in cancer: A systematic review.

Paulo J. G. Lisboa, Azzam Fouad George Taktak

Neural Networks, 2006

Robust analysis of MRS brain tumour data using <i>t</i>-GTM.

Alfredo Vellido, Paulo J. G. Lisboa, Dolores Vicente

Neurocomputing, 2006

Handling outliers in brain tumour MRS data analysis through robust topographic mapping.

Alfredo Vellido, Paulo J. G. Lisboa

Comput. Biol. Medicine, 2006

iShakti - Crossing the Digital Divide in Rural India.

Shail Patel, Ogi Bataveljic, Paulo J. G. Lisboa, Chris Hawkins, Rohithari Rajan

Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006

Learning what is important: feature selection and rule extraction in a virtual course.

Terence A. Etchells, Àngela Nebot, Alfredo Vellido, Paulo J. G. Lisboa, Francisco Mugica

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

Polynomial Pipelined Neural Network and Its Application to Financial Time Series Prediction.

Abir Jaafar Hussain, Adam Knowles, Paulo J. G. Lisboa, Wael El-Deredy, Dhiya Al-Jumeily

Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005

Level estimation, classification and probability distribution architectures for trading the EUR/USD exchange rate.

Andreas Lindemann, Christian L. Dunis, Paulo J. G. Lisboa

Neural Comput. Appl., 2005

Handling outliers and missing data in brain tumour clinical assessment using t-GTM.

Alfredo Vellido, Paulo J. G. Lisboa, Dolores Vicente

Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

Functional topographic mapping for robust handling of outliers in brain tumour data.

Alfredo Vellido, Paulo J. G. Lisboa

Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

2004

Cluster-Based Visualisation of Marketing Data.

Paulo J. G. Lisboa, Shail Patel

Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

2003

Selective smoothing of the generative topographic mapping.

Alfredo Vellido, Wael El-Deredy, Paulo J. G. Lisboa

IEEE Trans. Neural Networks, 2003

A Bayesian neural network approach for modelling censored data with an application to prognosis after surgery for breast cancer.

Paulo J. G. Lisboa, H. Wong, P. Harris, R. Swindell

Artif. Intell. Medicine, 2003

2002

A review of evidence of health benefit from artificial neural networks in medical intervention.

Paulo J. G. Lisboa

Neural Networks, 2002

Minimal MLPs do not model the XOR logic.

Paulo J. G. Lisboa, Terence A. Etchells, Dave C. Pountney

Neurocomputing, 2002

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

Neil Coombes, Roger Payne, Paulo Lisboa

Proceedings of the COMPSTAT 2002, 2002

2001

An Electronic Commerce Application of the Bayesian Framework for MLPs: The Effect of Marginalisation and ARD.

Alfredo Vellido, Paulo J. G. Lisboa

Neural Comput. Appl., 2001

2000

Bias reduction in skewed binary classification with Bayesian neural networks.

Paulo J. G. Lisboa, Alfredo Vellido, H. Wong

Neural Networks, 2000

Quantitative Characterization and Prediction of On-Line Purchasing Behavior: A Latent Variable Approach.

Alfredo Vellido, Paulo J. G. Lisboa, Karon Meehan

Int. J. Electron. Commer., 2000

The generative topographic mapping as a principal model for data visualization and market segmentation: an electronic commerce case.

Alfredo Vellido, Paulo J. G. Lisboa, Karon Meehan

Int. J. Comput. Syst. Signals, 2000

Segmenting the e-Commerce Market Using the Generative Topographic Mapping.

Alfredo Vellido, Paulo J. G. Lisboa, Karon Meehan

Proceedings of the MICAI 2000: Advances in Artificial Intelligence, 2000

The Role of Multiple, Linear-Projection Based Visualization Techniques in RBF-Based Classification of High Dimensional Data.

Adrian K. Agogino, Joydeep Ghosh, Stavros J. Perantonis, Vassilis Virvilis, Sergios Petridis, Paulo J. G. Lisboa

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Outstanding Issues for Clinical Decision Support with Neural Networks.

Paulo J. G. Lisboa, Alfredo Vellido, H. Wong

Proceedings of the Artificial Neural Networks in Medicine and Biology, 2000

Introduction.

Paulo J. G. Lisboa, Emmanuel C. Ifeachor, Piotr S. Szczepaniak

Proceedings of the Artificial Neural Networks in Biomedicine, 2000

1999

An Implementation of the Hough Transformation for the Identification and Labelling of Fixed Period Sinusoidal Curves.

Kevin J. Glossop, Paulo J. G. Lisboa, P. C. Russell, A. Siddans, G. R. Jones

Comput. Vis. Image Underst., 1999

Dealing with censorship in neural network models.

H. Wong, P. Harris, Paulo J. G. Lisboa, S. P. J. Kirby, R. Swindell

Proceedings of the International Joint Conference Neural Networks, 1999

1997

Tissue characterisation with NMR spectroscopy: current state and future prospects for the application of neural networks analysis.

Paulo J. G. Lisboa, Neil M. Branston, Wael El-Deredy, Alfredo Vellido

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Fast face recognition method using a multistage hierarchical network.

Maxim A. Grudin, David M. Harvey, Leonid I. Timchenko, Paulo J. G. Lisboa

Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996

Enhancing the non-linear modelling capabilities of MLP neural networks using spread encoding.

J. B. Gomm, D. Williams, J. T. Evans, S. K. Doherty, Paulo J. G. Lisboa

Fuzzy Sets Syst., 1996

Neural network modelling and control for underwater vehicles.

V. S. Kodogiannis, Paulo J. G. Lisboa, J. Lucas

Artif. Intell. Eng., 1996

1993

Techniques and applications of neural networks.

Paulo J. G. Lisboa, Malcolm J. Taylor

Ellis Horwood workshop series, Ellis Horwood, ISBN: 978-0-13-062183-2, 1993

1992

Translation, rotation, and scale invariant pattern recognition by high-order neural networks and moment classifiers.

Stavros J. Perantonis, Paulo J. G. Lisboa

IEEE Trans. Neural Networks, 1992

The role of local scale and orientation in feature location using neural nets.

Paulo J. G. Lisboa, M. Mallaiah

Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992