Paulo J. G. Lisboa

128 papers A* 1A 2B 25C 10Misc 3Journal 55Unranked 25

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	How to Open a Black Box Classifier for Tabular Data. Algorithms Bradley Walters, Sandra Ortega-Martorell, Iván Olier, Paulo J. G. Lisboa
2023	J	`jnl`	The coming of age of interpretable and explainable machine learning models. Neurocomputing Paulo J. G. Lisboa, Sascha Saralajew, Alfredo Vellido, Ricardo Fernández-Domenech, Thomas Villmann
2022	J	`jnl`	Explainable inflation forecasts by machine learning models. Expert Syst. Appl. Serkan Aras, Paulo J. G. Lisboa
2022	B	`conf`	Towards interpretable machine learning for clinical decision support. IJCNN Bradley Walters, Sandra Ortega-Martorell, Iván Olier, Paulo J. G. Lisboa
2021	J	`jnl`	Music genre profiling based on Fisher manifolds and Probabilistic Quantum Clustering. Neural Comput. Appl. Raúl V. Casaña Eslava, Ian H. Jarman, Sandra Ortega-Martorell, Paulo J. G. Lisboa, José David Martín-Guerrero
2020	—	`conf`	Efficient Estimation of General Additive Neural Networks: A Case Study for CTG Data. PKDD/ECML Workshops Paulo J. G. Lisboa, Sandra Ortega-Martorell, Manoj Jayabalan, Iván Olier
2020	—	`conf`	Explaining the Neural Network: A Case Study to Model the Incidence of Cervical Cancer. IPMU (1) Paulo J. G. Lisboa, Sandra Ortega-Martorell, Iván Olier
2020	J	`jnl`	Probabilistic quantum clustering. Knowl. Based Syst. Raúl V. Casaña Eslava, Paulo J. G. Lisboa, Sandra Ortega-Martorell, Ian H. Jarman, José David Martín-Guerrero
2019	J	`jnl`	A Probabilistic framework for Quantum Clustering. CoRR Raúl V. Casaña Eslava, Paulo J. G. Lisboa, Sandra Ortega-Martorell, Ian H. Jarman, José David Martín-Guerrero
2019	B	`conf`	Scalable implementation of measuring distances in a Riemannian manifold based on the Fisher Information metric. IJCNN Raúl V. Casaña Eslava, José David Martín-Guerrero, Sandra Ortega-Martorell, Paulo J. G. Lisboa, Ian H. Jarman
2019	J	`jnl`	The Partial Response Network. CoRR Paulo J. G. Lisboa, Sandra Ortega-Martorell, Sadie Cashman, Iván Olier
2018	J	`jnl`	Bioinformatics and Medicine in the Era of Deep Learning. CoRR Davide Bacciu, Paulo J. G. Lisboa, José D. Martín, Ruxandra Stoean, Alfredo Vellido
2017	B	`conf`	A robust method for the interpretation of genomic data. IJCNN Jade Hind, Abir Jaafar Hussain, Dhiya Al-Jumeily, Basma Abdulaimma, Casimiro Aday Curbelo Montañez, Paulo J. G. Lisboa
2017	J	`jnl`	Quantum clustering in non-spherical data distributions: Finding a suitable number of clusters. Neurocomputing Raúl V. Casaña Eslava, Ian H. Jarman, Paulo J. G. Lisboa, José David Martín-Guerrero
2016	B	`conf`	Performance assessment of quantum clustering in non-spherical data distributions. ESANN Raúl V. Casaña Eslava, José David Martín-Guerrero, Ian H. Jarman, Paulo J. G. Lisboa
2016	B	`conf`	Physics and Machine Learning: Emerging Paradigms. ESANN José David Martín-Guerrero, Paulo J. G. Lisboa, Alfredo Vellido
2015	J	`jnl`	Making nonlinear manifold learning models interpretable: The manifold grand tour. Expert Syst. Appl. Paulo J. G. Lisboa, José David Martín-Guerrero, Alfredo Vellido
2015	—	`ch.`	Probabilistic Modeling in Machine Learning. Handbook of Computational Intelligence Davide Bacciu, Paulo J. G. Lisboa, Alessandro Sperduti, Thomas Villmann
2015	J	`jnl`	Wavelet-based gene selection method for survival prediction in diffuse large B-cell lymphomas patients. Int. J. Data Min. Bioinform. Maryam Farhadian, Hossein Mahjub, Abbas Moghimbeigi, Paulo J. G. Lisboa, Jalal Poorolajal, Muharram Mansoorizadeh
2014	C	`conf`	A framework for initialising a dynamic clustering algorithm: ART2-A. CIDM Simon J. Chambers, Ian H. Jarman, Paulo J. G. Lisboa
2014	C	`conf`	Automatic relevance source determination in human brain tumors using Bayesian NMF. CIDM Sandra Ortega-Martorell, Iván Olier, Margarida Julià-Sapé, Carles Arús, Paulo J. G. Lisboa
2014	C	`conf`	Semi-supervised source extraction methodology for the nosological imaging of glioblastoma response to therapy. CIDM Sandra Ortega-Martorell, Iván Olier, Teresa Delgado-Goni, Magdalena Ciezka, Margarida Julià-Sapé, Paulo J. G. Lisboa, Carles Arús
2014	—	`conf`	Use of q-values to Improve a Genetic Algorithm to Identify Robust Gene Signatures. CIBB Daniel Urda, Simon J. Chambers, Ian H. Jarman, Paulo J. G. Lisboa, Leonardo Franco, José M. Jerez
2014	J	`jnl`	Website design: Technical, social and medical issues for self-reporting by elderly patients. Health Informatics J. Mark John Taylor, Rod Stables, Bashir Matata, Paulo J. G. Lisboa, Andy Laws, Peter Almond
2013	J	`jnl`	A principled approach to network-based classification and data representation. Neurocomputing Héctor Ruiz, Terence A. Etchells, Ian H. Jarman, José David Martín-Guerrero, Paulo J. G. Lisboa
2013	J	`jnl`	Discriminant Convex Non-negative Matrix Factorization for the classification of human brain tumours. Pattern Recognit. Lett. Albert Vilamala, Paulo J. G. Lisboa, Sandra Ortega-Martorell, Alfredo Vellido
2013	J	`jnl`	Efficient identification of independence networks using mutual information. Comput. Stat. Davide Bacciu, Terence A. Etchells, Paulo J. G. Lisboa, Joe Whittaker
2013	J	`jnl`	Finding reproducible cluster partitions for the k-means algorithm. BMC Bioinform. Paulo J. G. Lisboa, Terence A. Etchells, Ian H. Jarman, Simon J. Chambers
2013	—	`conf`	Interpretability in Machine Learning - Principles and Practice. WILF Paulo J. G. Lisboa
2013	J	`jnl`	Introduction. BMC Bioinform. Riccardo Rizzo, Paulo J. G. Lisboa
2012	—	`conf`	Bayesian Neural Network Applied in Medical Survival Analysis of Primary Biliary Cirrhosis. UKSim Corneliu T. C. Arsene, Paulo J. G. Lisboa
2012	B	`conf`	Bayesian Neural Network with and without compensation for competing risks. IJCNN Corneliu T. C. Arsene, Paulo J. G. Lisboa
2012	J	`jnl`	Cohort-based kernel visualisation with scatter matrices. Pattern Recognit. Enrique Romero, Tingting Mu, Paulo J. G. Lisboa
2012	B	`conf`	Constructing similarity networks using the Fisher information metric. ESANN Héctor Ruiz, Sandra Ortega-Martorell, Ian H. Jarman, José David Martín-Guerrero, Paulo J. G. Lisboa
2012	B	`conf`	Making machine learning models interpretable. ESANN Alfredo Vellido, José David Martín-Guerrero, Paulo J. G. Lisboa
2012	C	`conf`	Multicentre study design in survival analysis. CIBCB Corneliu T. C. Arsene, Paulo J. G. Lisboa
2012	J	`jnl`	Non-negative matrix factorisation methods for the spectral decomposition of MRS data from human brain tumours. BMC Bioinform. Sandra Ortega-Martorell, Paulo J. G. Lisboa, Alfredo Vellido, Margarida Julià-Sapé, Carles Arús
2012	B	`conf`	Towards interpretable classifiers with blind signal separation. IJCNN Héctor Ruiz, Ian H. Jarman, José David Martín-Guerrero, Sandra Ortega-Martorell, Alfredo Vellido, Enrique Romero, Paulo J. G. Lisboa
2011	—	`conf`	Brain Tumor Pathological Area Delimitation through Non-negative Matrix Factorization. ICDM Workshops Sandra Ortega-Martorell, Paulo J. G. Lisboa, Alfredo Vellido, Rui V. Simões, Margarida Julià-Sapé, Carles Arús
2011	C	`conf`	Clustering categorical data: A stability analysis framework. CIDM Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa, C. M. Beynon, José David Martín-Guerrero
2011	J	`jnl`	Clustering of protein expression data: a benchmark of statistical and neural approaches. Soft Comput. Ian H. Jarman, Terence A. Etchells, Davide Bacciu, Jonathan M. Garibaldi, Ian O. Ellis, Paulo J. G. Lisboa
2011	—	`ed.`	Computational Intelligence Methods for Bioinformatics and Biostatistics - 7th International Meeting, CIBB 2010, Palermo, Italy, September 16-18, 2010, Revised Selected Papers CIBB Riccardo Rizzo, Paulo J. G. Lisboa
2011	—	`conf`	Discovering Hidden Pathways in Bioinformatics. CIBB 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
2011	J	`jnl`	Issues in online patient self-reporting of health status. Health Informatics J. Malcolm J. Taylor, Bashir Matata, Rod Stables, Andy Laws, D. England, Paulo J. G. Lisboa
2011	—	`conf`	Model Selection with PLANN-CR-ARD. IWANN (2) Corneliu T. C. Arsene, Paulo J. G. Lisboa, Elia Biganzoli
2011	B	`conf`	PLANN-CR-ARD model predictions and Non-parametric estimates with Confidence Intervals. IJCNN Corneliu T. C. Arsene, Paulo J. G. Lisboa
2011	C	`conf`	Scenario Analysis for Local Area Life Expectancy Using Conditional Independence Maps. DeSE Ian H. Jarman, Terence A. Etchells, C. Perkins, M. A. Bellis, Paulo J. G. Lisboa
2011	B	`conf`	Seeing is believing: The importance of visualization in real-world machine learning applications. ESANN Alfredo Vellido, José David Martín-Guerrero, Fabrice Rossi, Paulo J. G. Lisboa
2011	B	`conf`	Spectral decomposition methods for the analysis of MRS information from human brain tumors. IJCNN Sandra Ortega-Martorell, Alfredo Vellido, Paulo J. G. Lisboa, Margarida Julià-Sapé, Carles Arús
2011	B	`conf`	The role of Fisher information in primary data space for neighbourhood mapping. ESANN Héctor Ruiz, Ian H. Jarman, José David Martín-Guerrero, Paulo J. G. Lisboa
2010	—	`conf`	A Clinical Decision Support System for Breast Cancer Patients. DoCEIS Ana S. Fernandes, Pedro Alves, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Paulo J. G. Lisboa
2010	J	`jnl`	A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients. Comput. Biol. Medicine 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
2010	B	`conf`	Assessment of benefit vs. risk of drug therapy: The potential for outcome analysis with flexible models. IJCNN Paulo J. G. Lisboa, Ana Sofia Fernandes, José Manuel Fonseca, Chris Bajdik, Elia Biganzoli
2010	B	`conf`	Cohort-based kernel visualisation with scatter matrices. IJCNN Enrique Romero, Ana Sofia Fernandes, Tingting Mu, Paulo J. G. Lisboa
2010	J	`jnl`	Comparison of Artificial Neural Network with Logistic Regression as Classification Models for Variable Selection for Prediction of Breast Cancer Patient Outcomes. Adv. Artif. Neural Syst. Valérie Bourdès, Stéphane Bonnevay, Paulo J. G. Lisboa, Rémy Defrance, David Pérol, Sylvie Chabaud, Thomas Bachelot, Thérèse Gargi, Sylvie Négrier
2010	B	`conf`	Computational Intelligence in biomedicine: Some contributions. ESANN Paulo J. G. Lisboa, Alfredo Vellido, José David Martín-Guerrero
2010	J	`jnl`	Data Mining in Cancer Research [Application Notes]. IEEE Comput. Intell. Mag. Paulo J. G. Lisboa, Alfredo Vellido, Roberto Tagliaferri, Francesco Napolitano, Michele Ceccarelli, José David Martín-Guerrero, Elia Biganzoli
2010	B	`conf`	Flexible parametric modelling of the hazard function in breast cancer studies. IJCNN Ilaria Ardoino, Federico Ambrogi, Chris Bajdik, Paulo J. G. Lisboa, Elia Biganzoli, Patrizia Boracchi
2009	—	`conf`	Adaptive Classified Vector Quantisation of Non-orthogonal Representations of Images and its Application to Image Compression. CICSyN Abir Jaafar Hussain, Dhiya Al-Jumeily, Paulo J. G. Lisboa
2009	—	`ch.`	An AI Walk from Pharmacokinetics to A Marketing. Encyclopedia of Artificial Intelligence José David Martín-Guerrero, Emilio Soria-Olivas, Paulo J. G. Lisboa, Antonio J. Serrano-López
2009	J	`jnl`	Determination of mode of ventilation using OSRE. Comput. Biol. Medicine D. Faulke, Terence A. Etchells, M. J. Harrison, Paulo J. G. Lisboa
2009	—	`conf`	Different Methodologies for Patient Stratification Using Survival Data. CIBB Ana S. Fernandes, Davide Bacciu, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Paulo J. G. Lisboa
2009	J	`jnl`	Editorial. Int. J. Knowl. Eng. Soft Data Paradigms Leif E. Peterson, Paulo J. G. Lisboa
2009	J	`jnl`	Evaluation of missing data imputation in longitudinal cohort studies in breast cancer survival. Int. J. Knowl. Eng. Soft Data Paradigms Ana S. Fernandes, José Manuel Fonseca, Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa, Elia Biganzoli, Chris Bajdik
2009	A*	`conf`	Grocery shopping recommendations based on basket-sensitive random walk. KDD Ming Li, M. Benjamin Dias, Ian H. Jarman, Wael El-Deredy, Paulo J. G. Lisboa
2009	J	`jnl`	How to find simple and accurate rules for viral protease cleavage specificities. BMC Bioinform. Thorsteinn S. Rögnvaldsson, Terence A. Etchells, Liwen You, Daniel Garwicz, Ian H. Jarman, Paulo J. G. Lisboa
2009	J	`jnl`	Novel hybrid classified vector quantization using discrete cosine transform for image compression. J. Electronic Imaging Ali Al-Fayadh, Abir Jaafar Hussain, Paulo J. G. Lisboa, Dhiya Al-Jumeily
2009	J	`jnl`	Partial Logistic Artificial Neural Network for Competing Risks Regularized With Automatic Relevance Determination. IEEE Trans. Neural Networks 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
2009	B	`conf`	Patient stratification with competing risks by multivariate Fisher distance. IJCNN Davide Bacciu, Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa
2009	—	`ch.`	Short-term time-to-event model of response to treatment following the GIMEMA protocol for Acute Myeloid Leukaemia. Computational Intelligence and Bioengineering Paulo J. G. Lisboa, Ian H. Jarman, Terence A. Etchells, Federico Ambrogi, Ilaria Ardoino, Marco Vignetti, Elia Biganzoli
2009	—	`conf`	Stratification Methodologies for Neural Networks Models of Survival. IWANN (1) Ana S. Fernandes, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Elia Biganzoli, Chris Bajdik, Paulo J. G. Lisboa
2009	J	`jnl`	Survival analysis in cancer using a partial logistic neural network model with Bayesian regularisation framework: a validation study. Int. J. Knowl. Eng. Soft Data Paradigms Azzam Fouad George Taktak, Antonio Eleuteri, Min S. Hane Aung, Paulo J. G. Lisboa, Laurence Desjardins, Bertil E. Damato
2008	—	`conf`	An Adaptive Hybrid Classified Vector Quantisation and its Application to Image Compression. EMS Ali Al-Fayadh, Abir Jaafar Hussain, Paulo J. G. Lisboa, Dhiya Al-Jumeily
2008	—	`conf`	An adaptive hybrid image compression method and its application to medical images. ISBI Ali Al-Fayadh, Abir Jaafar Hussain, Paulo J. G. Lisboa, Dhiya Al-Jumeily
2008	J	`jnl`	An integrated framework for risk profiling of breast cancer patients following surgery. Artif. Intell. Medicine Ian H. Jarman, Terence A. Etchells, José David Martín-Guerrero, Paulo J. G. Lisboa
2008	—	`conf`	Are Model-Based Clustering and Neural Clustering Consistent? A Case Study from Bioinformatics. KES (2) Davide Bacciu, Elia Biganzoli, Paulo J. G. Lisboa, Antonina Starita
2008	C	`conf`	Classification, Dimensionality Reduction, and Maximally Discriminatory Visualization of a Multicentre 1H-MRS Database of Brain Tumors. ICMLA Paulo J. G. Lisboa, Enrique Romero, Alfredo Vellido, Margarida Julià-Sapé, Carles Arús
2008	J	`jnl`	Cluster-based visualisation with scatter matrices. Pattern Recognit. Lett. Paulo J. G. Lisboa, Ian O. Ellis, Andrew R. Green, Federico Ambrogi, M. Benjamin Dias
2008	C	`conf`	External Validation of a Bayesian Neural Network Model in Survival Analysis. ICMLA Azzam F. Taktak, Antonio Eleuteri, M. S. Hane Aung, Paulo J. G. Lisboa, Laurence Desjardins, Bertil E. Damato
2008	J	`jnl`	Financial time series prediction using polynomial pipelined neural networks. Expert Syst. Appl. Abir Jaafar Hussain, Adam Knowles, Paulo J. G. Lisboa, Wael El-Deredy
2008	B	`conf`	Machine learning in cancer research: implications for personalised medicine. ESANN Alfredo Vellido, Elia Biganzoli, Paulo J. G. Lisboa
2008	C	`conf`	Missing Data Imputation in Longitudinal Cohort Studies: Application of PLANN-ARD in Breast Cancer Survival. ICMLA Ana S. Fernandes, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Elia Biganzoli, Chris Bajdik, Paulo J. G. Lisboa
2008	—	`conf`	Stratification of Severity of Illness Indices: A Case Study for Breast Cancer Prognosis. KES (2) Terence A. Etchells, Ana S. Fernandes, Ian H. Jarman, José Manuel Fonseca, Paulo J. G. Lisboa
2008	A	`conf`	The value of personalised recommender systems to e-business: a case study. RecSys M. Benjamin Dias, Dominique Locher, Ming Li, Wael El-Deredy, Paulo J. G. Lisboa
2008	J	`jnl`	Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer. Neural Networks 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
2007	Misc	`conf`	A Prototype Integrated Decision Support System for Breast Cancer Oncology. IWANN Paulo J. G. Lisboa, Ian H. Jarman, Terence A. Etchells, Phillip Ramsey
2007	A	`conf`	A probabilistic model for item-based recommender systems. RecSys Ming Li, M. Benjamin Dias, Wael El-Deredy, Paulo J. G. Lisboa
2007	J	`jnl`	An approach based on the Adaptive Resonance Theory for analysing the viability of recommender systems in a citizen Web portal. Expert Syst. Appl. José David Martín-Guerrero, Paulo J. G. Lisboa, Emilio Soria-Olivas, Alberto Palomares, Emili Balaguer
2007	B	`conf`	Assessing flexible models and rule extraction from censored survival data. IJCNN Paulo J. G. Lisboa, Elia Biganzoli, Azzam F. Taktak, Terence A. Etchells, Ian H. Jarman, M. S. Hane Aung, Federico Ambrogi
2007	—	`conf`	Comparing Analytical Decision Support Models Through Boolean Rule Extraction: A Case Study of Ovarian Tumour Malignancy. ISNN (2) M. S. Hane Aung, Paulo J. G. Lisboa, Terence A. Etchells, Antonia C. Testa, Ben Van Calster, Sabine Van Huffel, Lil Valentin, Dirk Timmerman
2007	J	`jnl`	Double-blind evaluation and benchmarking of survival models in a multi-centre study. Comput. Biol. Medicine 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
2007	—	`conf`	Evaluating Retail Recommender Systems via Retrospective Data: Lessons Learnt from a Live-Intervention Study. DMIN Carmen M. Sordo-Garcia, M. Benjamin Dias, Ming Li, Wael El-Deredy, Paulo J. G. Lisboa
2007	Misc	`conf`	Neural Networks and Other Machine Learning Methods in Cancer Research. IWANN Alfredo Vellido, Paulo J. G. Lisboa
2007	J	`jnl`	Removal of eye movement artefacts from single channel recordings of retinal evoked potentials using Medical Biol. Eng. Comput. A. C. Fisher, Wael El-Deredy, R. P. Hagan, M. C. Brown, Paulo J. G. Lisboa
2007	B	`conf`	Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer. IJCNN 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
2006	J	`jnl`	Handling outliers in brain tumour MRS data analysis through robust topographic mapping. Comput. Biol. Medicine Alfredo Vellido, Paulo J. G. Lisboa
2006	B	`conf`	Learning what is important: feature selection and rule extraction in a virtual course. ESANN Terence A. Etchells, Àngela Nebot, Alfredo Vellido, Paulo J. G. Lisboa, Francisco Mugica
2006	J	`jnl`	Orthogonal search-based rule extraction (OSRE) for trained neural networks: a practical and efficient approach. IEEE Trans. Neural Networks Terence A. Etchells, Paulo J. G. Lisboa
2006	—	`conf`	Polynomial Pipelined Neural Network and Its Application to Financial Time Series Prediction. Australian Conference on Artificial Intelligence Abir Jaafar Hussain, Adam Knowles, Paulo J. G. Lisboa, Wael El-Deredy, Dhiya Al-Jumeily
2006	J	`jnl`	Robust analysis of MRS brain tumour data using Neurocomputing Alfredo Vellido, Paulo J. G. Lisboa, Dolores Vicente
2006	J	`jnl`	The use of artificial neural networks in decision support in cancer: A systematic review. Neural Networks Paulo J. G. Lisboa, Azzam Fouad George Taktak
2006	—	`conf`	iShakti - Crossing the Digital Divide in Rural India. Web Intelligence Shail Patel, Ogi Bataveljic, Paulo J. G. Lisboa, Chris Hawkins, Rohithari Rajan
2005	B	`conf`	Functional topographic mapping for robust handling of outliers in brain tumour data. ESANN Alfredo Vellido, Paulo J. G. Lisboa
2005	B	`conf`	Handling outliers and missing data in brain tumour clinical assessment using t-GTM. ESANN Alfredo Vellido, Paulo J. G. Lisboa, Dolores Vicente
2005	J	`jnl`	Level estimation, classification and probability distribution architectures for trading the EUR/USD exchange rate. Neural Comput. Appl. Andreas Lindemann, Christian L. Dunis, Paulo J. G. Lisboa
2004	C	`conf`	Cluster-Based Visualisation of Marketing Data. IDEAL Paulo J. G. Lisboa, Shail Patel
2003	J	`jnl`	A Bayesian neural network approach for modelling censored data with an application to prognosis after surgery for breast cancer. Artif. Intell. Medicine Paulo J. G. Lisboa, H. Wong, P. Harris, R. Swindell
2003	J	`jnl`	Selective smoothing of the generative topographic mapping. IEEE Trans. Neural Networks Alfredo Vellido, Wael El-Deredy, Paulo J. G. Lisboa
2002	J	`jnl`	A review of evidence of health benefit from artificial neural networks in medical intervention. Neural Networks Paulo J. G. Lisboa
2002	J	`jnl`	Minimal MLPs do not model the XOR logic. Neurocomputing Paulo J. G. Lisboa, Terence A. Etchells, Dave C. Pountney
2001	J	`jnl`	An Electronic Commerce Application of the Bayesian Framework for MLPs: The Effect of Marginalisation and ARD. Neural Comput. Appl. Alfredo Vellido, Paulo J. G. Lisboa
2000	—	`book`	Artificial Neural Networks in Biomedicine Paulo J. G. Lisboa, Emmanuel C. Ifeachor, Piotr S. Szczepaniak
2000	J	`jnl`	Bias reduction in skewed binary classification with Bayesian neural networks. Neural Networks Paulo J. G. Lisboa, Alfredo Vellido, H. Wong
2000	—	`ch.`	Introduction. Artificial Neural Networks in Biomedicine Paulo J. G. Lisboa, Emmanuel C. Ifeachor, Piotr S. Szczepaniak
2000	—	`conf`	Outstanding Issues for Clinical Decision Support with Neural Networks. ANNIMAB Paulo J. G. Lisboa, Alfredo Vellido, H. Wong
2000	J	`jnl`	Quantitative Characterization and Prediction of On-Line Purchasing Behavior: A Latent Variable Approach. Int. J. Electron. Commer. Alfredo Vellido, Paulo J. G. Lisboa, Karon Meehan
2000	—	`conf`	Segmenting the e-Commerce Market Using the Generative Topographic Mapping. MICAI Alfredo Vellido, Paulo J. G. Lisboa, Karon Meehan
2000	—	`conf`	The Role of Multiple, Linear-Projection Based Visualization Techniques in RBF-Based Classification of High Dimensional Data. IJCNN (3) Adrian K. Agogino, Joydeep Ghosh, Stavros J. Perantonis, Vassilis Virvilis, Sergios Petridis, Paulo J. G. Lisboa
2000	J	`jnl`	The generative topographic mapping as a principal model for data visualization and market segmentation: an electronic commerce case. Int. J. Comput. Syst. Signals Alfredo Vellido, Paulo J. G. Lisboa, Karon Meehan
1999	J	`jnl`	An Implementation of the Hough Transformation for the Identification and Labelling of Fixed Period Sinusoidal Curves. Comput. Vis. Image Underst. Kevin J. Glossop, Paulo J. G. Lisboa, P. C. Russell, A. Siddans, G. R. Jones
1999	B	`conf`	Dealing with censorship in neural network models. IJCNN H. Wong, P. Harris, Paulo J. G. Lisboa, S. P. J. Kirby, R. Swindell
1997	Misc	`conf`	Fast face recognition method using a multistage hierarchical network. ICASSP Maxim A. Grudin, David M. Harvey, Leonid I. Timchenko, Paulo J. G. Lisboa
1997	—	`conf`	Tissue characterisation with NMR spectroscopy: current state and future prospects for the application of neural networks analysis. ICNN Paulo J. G. Lisboa, Neil M. Branston, Wael El-Deredy, Alfredo Vellido
1996	J	`jnl`	Enhancing the non-linear modelling capabilities of MLP neural networks using spread encoding. Fuzzy Sets Syst. J. B. Gomm, D. Williams, J. T. Evans, S. K. Doherty, Paulo J. G. Lisboa
1996	J	`jnl`	Neural network modelling and control for underwater vehicles. Artif. Intell. Eng. V. S. Kodogiannis, Paulo J. G. Lisboa, J. Lucas
1993	—	`book`	Techniques and applications of neural networks. Paulo J. G. Lisboa, Malcolm J. Taylor
1992	—	`conf`	The role of local scale and orientation in feature location using neural nets. ICPR (3) Paulo J. G. Lisboa, M. Mallaiah
1992	J	`jnl`	Translation, rotation, and scale invariant pattern recognition by high-order neural networks and moment classifiers. IEEE Trans. Neural Networks Stavros J. Perantonis, Paulo J. G. Lisboa