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)

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

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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 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)

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)

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)