The role of local scale and orientation in feature location using neural nets. - Paulo J. G. Lisboa; M. Mallaiah (ICPR (3), 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)

Techniques and applications of neural networks. - Paulo J. G. Lisboa; Malcolm J. Taylor (Ellis Horwood, 1993)

Neural network modelling and control for underwater vehicles. - V. S. Kodogiannis; Paulo J. G. Lisboa; J. Lucas (Artif. Intell. Eng., 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)

Fast face recognition method using a multistage hierarchical network. - Maxim A. Grudin; David M. Harvey; Leonid I. Timchenko; Paulo J. G. Lisboa (ICASSP, 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 (ICNN, 1997)

Dealing with censorship in neural network models. - H. Wong; P. Harris; Paulo J. G. Lisboa; S. P. J. Kirby; R. Swindell (IJCNN, 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)

Introduction. - Paulo J. G. Lisboa; Emmanuel C. Ifeachor; Piotr S. Szczepaniak (Artificial Neural Networks in Biomedicine, 2000)

Outstanding Issues for Clinical Decision Support with Neural Networks. - Paulo J. G. Lisboa; Alfredo Vellido; H. Wong (ANNIMAB, 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 (IJCNN (3), 2000)

Segmenting the e-Commerce Market Using the Generative Topographic Mapping. - Alfredo Vellido; Paulo J. G. Lisboa; Karon Meehan (MICAI, 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)

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)

Bias reduction in skewed binary classification with Bayesian neural networks. - Paulo J. G. Lisboa; Alfredo Vellido; H. Wong (Neural Networks, 2000)

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)

Comparison of Nested Simulated Annealing and Reactive Tabu Search for Efficient Experimental Designs with Correlated Data. - Neil Coombes; Roger Payne; Paulo Lisboa (COMPSTAT, 2002)

Minimal MLPs do not model the XOR logic. - Paulo J. G. Lisboa; Terence A. Etchells; Dave C. Pountney (Neurocomputing, 2002)

A review of evidence of health benefit from artificial neural networks in medical intervention. - Paulo J. G. Lisboa (Neural Networks, 2002)

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)

Selective smoothing of the generative topographic mapping. - Alfredo Vellido; Wael El-Deredy; Paulo J. G. Lisboa (IEEE Trans. Neural Networks, 2003)

Cluster-Based Visualisation of Marketing Data. - Paulo J. G. Lisboa; Shail Patel (IDEAL, 2004)

Functional topographic mapping for robust handling of outliers in brain tumour data. - Alfredo Vellido; Paulo J. G. Lisboa (ESANN, 2005)

Handling outliers and missing data in brain tumour clinical assessment using t-GTM. - Alfredo Vellido; Paulo J. G. Lisboa; Dolores Vicente (ESANN, 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)

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 (Australian Conference on Artificial Intelligence, 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 (ESANN, 2006)

iShakti - Crossing the Digital Divide in Rural India. - Shail Patel; Ogi Bataveljic; Paulo J. G. Lisboa; Chris Hawkins; Rohithari Rajan (Web Intelligence, 2006)

Handling outliers in brain tumour MRS data analysis through robust topographic mapping. - Alfredo Vellido; Paulo J. G. Lisboa (Comput. Biol. Medicine, 2006)

Robust analysis of MRS brain tumour data using t-GTM. - Alfredo Vellido; Paulo J. G. Lisboa; Dolores Vicente (Neurocomputing, 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)

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)

Evaluating Retail Recommender Systems via Retrospective Data: Lessons Learnt from a Live-Intervention Study. - Carmen M. Sordo-Garcia; M. Benjamin Dias; Ming Li 014; Wael El-Deredy; Paulo J. G. Lisboa (DMIN, 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 (IJCNN, 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 (ISNN (2), 2007)

A Prototype Integrated Decision Support System for Breast Cancer Oncology. - Paulo J. G. Lisboa; Ian H. Jarman; Terence A. Etchells; Phillip Ramsey (IWANN, 2007)

Neural Networks and Other Machine Learning Methods in Cancer Research. - Alfredo Vellido; Paulo J. G. Lisboa (IWANN, 2007)

A probabilistic model for item-based recommender systems. - Ming Li 014; M. Benjamin Dias; Wael El-Deredy; Paulo J. G. Lisboa (RecSys, 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)

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)

Removal of eye movement artefacts from single channel recordings of retinal evoked potentials using synchronous 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 Adaptive Hybrid Classified Vector Quantisation and its Application to Image Compression. - Ali Al-Fayadh; Abir Jaafar Hussain; Paulo J. G. Lisboa; Dhiya Al-Jumeily (EMS, 2008)

Machine learning in cancer research: implications for personalised medicine. - Alfredo Vellido; Elia Biganzoli; Paulo J. G. Lisboa (ESANN, 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 (ICMLA, 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 (ICMLA, 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 (ICMLA, 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 (ISBI, 2008)

Are Model-Based Clustering and Neural Clustering Consistent? A Case Study from Bioinformatics. - Davide Bacciu; Elia Biganzoli; Paulo J. G. Lisboa; Antonina Starita (KES (2), 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 (KES (2), 2008)

The value of personalised recommender systems to e-business: a case study. - M. Benjamin Dias; Dominique Locher; Ming Li 014; Wael El-Deredy; Paulo J. G. Lisboa (RecSys, 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)

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)

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)

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)

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 (CIBB, 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 (CICSyN, 2009)

Patient stratification with competing risks by multivariate Fisher distance. - Davide Bacciu; Ian H. Jarman; Terence A. Etchells; Paulo J. G. Lisboa (IJCNN, 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 (IWANN (1), 2009)

Grocery shopping recommendations based on basket-sensitive random walk. - Ming Li 014; M. Benjamin Dias; Ian H. Jarman; Wael El-Deredy; Paulo J. G. Lisboa (KDD, 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)

Determination of mode of ventilation using OSRE. - D. Faulke; Terence A. Etchells; M. J. Harrison; Paulo J. G. Lisboa (Comput. Biol. Medicine, 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)

Editorial. - Leif E. Peterson; Paulo J. G. Lisboa (Int. J. Knowl. Eng. Soft Data Paradigms, 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)

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)

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)

An AI Walk from Pharmacokinetics to A Marketing. - José David Martín-Guerrero; Emilio Soria-Olivas; Paulo J. G. Lisboa; Antonio J. Serrano-López (Encyclopedia of Artificial Intelligence, 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 (Computational Intelligence and Bioengineering, 2009)

Computational Intelligence in biomedicine: Some contributions. - Paulo J. G. Lisboa; Alfredo Vellido; José David Martín-Guerrero (ESANN, 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 (DoCEIS, 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 (IJCNN, 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 (IJCNN, 2010)

Cohort-based kernel visualisation with scatter matrices. - Enrique Romero; Ana Sofia Fernandes; Tingting Mu; Paulo J. G. Lisboa (IJCNN, 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)

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; et al. (Comput. Biol. Medicine, 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)

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 (CIBB, 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 (CIDM, 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 (DeSE, 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 (ESANN, 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 (ESANN, 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 (ICDM Workshops, 2011)

PLANN-CR-ARD model predictions and Non-parametric estimates with Confidence Intervals. - Corneliu T. C. Arsene; Paulo J. G. Lisboa (IJCNN, 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 (IJCNN, 2011)

Model Selection with PLANN-CR-ARD. - Corneliu T. C. Arsene; Paulo J. G. Lisboa; Elia Biganzoli (IWANN (2), 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)

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)

Multicentre study design in survival analysis. - Corneliu T. C. Arsene; Paulo J. G. Lisboa (CIBCB, 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 (ESANN, 2012)

Making machine learning models interpretable. - Alfredo Vellido; José David Martín-Guerrero; Paulo J. G. Lisboa (ESANN, 2012)

Bayesian Neural Network with and without compensation for competing risks. - Corneliu T. C. Arsene; Paulo J. G. Lisboa (IJCNN, 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 (IJCNN, 2012)

Bayesian Neural Network Applied in Medical Survival Analysis of Primary Biliary Cirrhosis. - Corneliu T. C. Arsene; Paulo J. G. Lisboa (UKSim, 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)

Testing geographical information systems: a case study in a fire prevention support system. - Mark Taylor 005; Emma Higgins; Paulo Lisboa (J. Syst. Inf. Technol., 2012)

Cohort-based kernel visualisation with scatter matrices. - Enrique Romero; Tingting Mu; Paulo J. G. Lisboa (Pattern Recognit., 2012)

Automated selection of interaction effects in sparse kernel methods to predict pregnancy viability. - Vanya Van Belle; Paulo Lisboa (CIDM, 2013)

Research directions in interpretable machine learning models. - Vanya Van Belle; Paulo Lisboa (ESANN, 2013)

Interpretability in Machine Learning - Principles and Practice. - Paulo J. G. Lisboa (WILF, 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)

Introduction. - Riccardo Rizzo; Paulo J. G. Lisboa (BMC Bioinform., 2013)

Efficient identification of independence networks using mutual information. - Davide Bacciu; Terence A. Etchells; Paulo J. G. Lisboa; Joe Whittaker (Comput. Stat., 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)

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)

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 (CIBB, 2014)

A framework for initialising a dynamic clustering algorithm: ART2-A. - Simon J. Chambers; Ian H. Jarman; Paulo J. G. Lisboa (CIDM, 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 (CIDM, 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 (CIDM, 2014)

White box radial basis function classifiers with component selection for clinical prediction models. - Vanya Van Belle; Paulo Lisboa (Artif. Intell. Medicine, 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)

Measuring scoring efficiency through goal expectancy estimation. - Héctor Ruiz; Paulo Lisboa; Paul Neilson; Warren Gregson (ESANN, 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)

Making nonlinear manifold learning models interpretable: The manifold grand tour. - Paulo J. G. Lisboa; José David Martín-Guerrero; Alfredo Vellido (Expert Syst. Appl., 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)

Hybrid Neural Network Predictive-Wavelet Image Compression System. - Abir Jaafar Hussain; Dhiya Al-Jumeily; Naeem Radi; Paulo Lisboa (Neurocomputing, 2015)

Probabilistic Modeling in Machine Learning. - Davide Bacciu; Paulo J. G. Lisboa; Alessandro Sperduti; Thomas Villmann (Handbook of Computational Intelligence, 2015)

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 (ESANN, 2016)

Physics and Machine Learning: Emerging Paradigms. - José David Martín-Guerrero; Paulo J. G. Lisboa; Alfredo Vellido (ESANN, 2016)

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 (IJCNN, 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)

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 (CEC, 2018)

A Data Science Methodology Based on Machine Learning Algorithms for Flood Severity Prediction. - Mohammed Khalaf 001; Abir Jaafar Hussain; Dhiya Al-Jumeily; Thar Baker; Robert Keight; Paulo Lisboa; Paul Fergus; Ala S. Al Kafri (CEC, 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 (CEC, 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 (DeSE, 2018)

Bioinformatics and medicine in the era of deep learning. - Davide Bacciu; Paulo Lisboa; José D. Martín; Ruxandra Stoean; Alfredo Vellido (ESANN, 2018)

A Lifelogging Platform Towards Detecting Negative Emotions in Everyday Life using Wearable Devices. - Chelsea Dobbins; Stephen Fairclough; Paulo Lisboa; Félix Fernando González-Navarro (PerCom Workshops, 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)

Convolutional neural network for cognitive task prediction from EEG's auditory steady state responses. - Daniela Montilla-Trochez; Rodrigo Salas 001; Alejandro Bertin; Inga Griskova-Bulanova; Paulo Lisboa; Carolina Saavedra (CRoNe, 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 (ESANN, 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 (IDEAL (2), 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 (IJCNN, 2019)

A Voting Ensemble Method to Assist the Diagnosis of Prostate Cancer Using Multiparametric MRI. - Patrick Riley 002; Iván Olier; Marc Rea; Paulo Lisboa; Sandra Ortega-Martorell (WSOM+, 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 002; Paulo Lisboa; Sandra Ortega-Martorell (WSOM+, 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)

The Partial Response Network. - Paulo J. G. Lisboa; Sandra Ortega-Martorell; Sadie Cashman; Iván Olier (CoRR, 2019)

Explaining the Neural Network: A Case Study to Model the Incidence of Cervical Cancer. - Paulo J. G. Lisboa; Sandra Ortega-Martorell; Iván Olier (IPMU (1), 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 (PKDD/ECML Workshops, 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)

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)

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)

The Coming of Age of Interpretable and Explainable Machine Learning Models. - Paulo Lisboa; Sascha Saralajew; Alfredo Vellido; Thomas Villmann (ESANN, 2021)

The partial response SVM. - Bradley Walters; Sandra Ortega-Martorell; Iván Olier; Paulo Lisboa (ESANN, 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)

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 001; Paulo Lisboa; Beth Pineles (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Towards interpretable machine learning for clinical decision support. - Bradley Walters; Sandra Ortega-Martorell; Iván Olier; Paulo J. G. Lisboa (IJCNN, 2022)

Explainable inflation forecasts by machine learning models. - Serkan Aras; Paulo J. G. Lisboa (Expert Syst. Appl., 2022)

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)

How to Open a Black Box Classifier for Tabular Data. - Bradley Walters; Sandra Ortega-Martorell; Iván Olier; Paulo J. G. Lisboa (Algorithms, 2023)