Paulo J. G. Lisboa

Publication Activity (10 Years)

Years Active: 1992-2023
Publications (10 Years): 16

Top Venues

CoRR

IJCNN

CIDM

Neurocomputing

Publications

Bradley Walters, Sandra Ortega-Martorell, Iván Olier, Paulo J. G. Lisboa
How to Open a Black Box Classifier for Tabular Data. Algorithms 16 (4) (2023)
Paulo J. G. Lisboa, Sascha Saralajew, Alfredo Vellido, Ricardo Fernández-Domenech, Thomas Villmann
The coming of age of interpretable and explainable machine learning models. Neurocomputing 535 (2023)
Bradley Walters, Sandra Ortega-Martorell, Iván Olier, Paulo J. G. Lisboa
Towards interpretable machine learning for clinical decision support. IJCNN (2022)
Serkan Aras, Paulo J. G. Lisboa
Explainable inflation forecasts by machine learning models. Expert Syst. Appl. 207 (2022)
Raúl V. Casaña Eslava, Ian H. Jarman, Sandra Ortega-Martorell, Paulo J. G. Lisboa, José David Martín-Guerrero
Music genre profiling based on Fisher manifolds and Probabilistic Quantum Clustering. Neural Comput. Appl. 33 (13) (2021)
Paulo J. G. Lisboa, Sandra Ortega-Martorell, Iván Olier
Explaining the Neural Network: A Case Study to Model the Incidence of Cervical Cancer. IPMU (1) (2020)
Paulo J. G. Lisboa, Sandra Ortega-Martorell, M. Jayabalan, Iván Olier
Efficient Estimation of General Additive Neural Networks: A Case Study for CTG Data. PKDD/ECML Workshops (2020)
Raúl V. Casaña Eslava, Paulo J. G. Lisboa, Sandra Ortega-Martorell, Ian H. Jarman, José David Martín-Guerrero
Probabilistic quantum clustering. Knowl. Based Syst. 194 (2020)
Paulo J. G. Lisboa, Sandra Ortega-Martorell, Sadie Cashman, Iván Olier
The Partial Response Network. CoRR (2019)
Raúl V. Casaña Eslava, José David Martín-Guerrero, Sandra Ortega-Martorell, Paulo J. G. Lisboa, Ian H. Jarman
Scalable implementation of measuring distances in a Riemannian manifold based on the Fisher Information metric. IJCNN (2019)
Raúl V. Casaña Eslava, Paulo J. G. Lisboa, Sandra Ortega-Martorell, Ian H. Jarman, José David Martín-Guerrero
A Probabilistic framework for Quantum Clustering. CoRR (2019)
Davide Bacciu, Paulo J. G. Lisboa, José D. Martín, Ruxandra Stoean, Alfredo Vellido
Bioinformatics and Medicine in the Era of Deep Learning. CoRR (2018)
Jade Hind, Abir Jaafar Hussain, Dhiya Al-Jumeily, Basma Abdulaimma, Casimiro Aday Curbelo Montañez, Paulo J. G. Lisboa
A robust method for the interpretation of genomic data. IJCNN (2017)
Raúl V. Casaña Eslava, Ian H. Jarman, Paulo J. G. Lisboa, José David Martín-Guerrero
Quantum clustering in non-spherical data distributions: Finding a suitable number of clusters. Neurocomputing 268 (2017)
Raúl V. Casaña Eslava, José David Martín-Guerrero, Ian H. Jarman, Paulo J. G. Lisboa
Performance assessment of quantum clustering in non-spherical data distributions. ESANN (2016)
José David Martín-Guerrero, Paulo J. G. Lisboa, Alfredo Vellido
Physics and Machine Learning: Emerging Paradigms. ESANN (2016)
Maryam Farhadian, Hossein Mahjub, Abbas Moghimbeigi, Paulo J. G. Lisboa, Jalal Poorolajal, Muharram Mansoorizadeh
Wavelet-based gene selection method for survival prediction in diffuse large B-cell lymphomas patients. Int. J. Data Min. Bioinform. 13 (2) (2015)
Paulo J. G. Lisboa, José David Martín-Guerrero, Alfredo Vellido
Making nonlinear manifold learning models interpretable: The manifold grand tour. Expert Syst. Appl. 42 (22) (2015)
Mark John Taylor, Rod Stables, Bashir Matata, Paulo J. G. Lisboa, Andy Laws, Peter Almond
Website design: Technical, social and medical issues for self-reporting by elderly patients. Health Informatics J. 20 (2) (2014)
Sandra Ortega-Martorell, Iván Olier, Teresa Delgado-Goni, Magdalena Ciezka, Margarida Julià-Sapé, Paulo J. G. Lisboa, Carles Arús
Semi-supervised source extraction methodology for the nosological imaging of glioblastoma response to therapy. CIDM (2014)
Sandra Ortega-Martorell, Iván Olier, Margarida Julià-Sapé, Carles Arús, Paulo J. G. Lisboa
Automatic relevance source determination in human brain tumors using Bayesian NMF. CIDM (2014)
Simon J. Chambers, Ian H. Jarman, Paulo J. G. Lisboa
A framework for initialising a dynamic clustering algorithm: ART2-A. CIDM (2014)
Daniel Urda, Simon J. Chambers, Ian H. Jarman, Paulo J. G. Lisboa, Leonardo Franco, José M. Jerez
Use of q-values to Improve a Genetic Algorithm to Identify Robust Gene Signatures. CIBB (2014)
Riccardo Rizzo, Paulo J. G. Lisboa
Introduction. BMC Bioinform. 14 (S-1) (2013)
Paulo J. G. Lisboa, Terence A. Etchells, Ian H. Jarman, Simon J. Chambers
Finding reproducible cluster partitions for the k-means algorithm. BMC Bioinform. 14 (S-1) (2013)
Davide Bacciu, Terence A. Etchells, Paulo J. G. Lisboa, Joe Whittaker
Efficient identification of independence networks using mutual information. Comput. Stat. 28 (2) (2013)
Albert Vilamala, Paulo J. G. Lisboa, Sandra Ortega-Martorell, Alfredo Vellido
Discriminant Convex Non-negative Matrix Factorization for the classification of human brain tumours. Pattern Recognit. Lett. 34 (14) (2013)
Paulo J. G. Lisboa
Interpretability in Machine Learning - Principles and Practice. WILF (2013)
Héctor Ruiz, Terence A. Etchells, Ian H. Jarman, José David Martín-Guerrero, Paulo J. G. Lisboa
A principled approach to network-based classification and data representation. Neurocomputing 112 (2013)
Alfredo Vellido, José David Martín-Guerrero, Paulo J. G. Lisboa
Making machine learning models interpretable. ESANN (2012)
Corneliu T. C. Arsene, Paulo J. G. Lisboa
Multicentre study design in survival analysis. CIBCB (2012)
Héctor Ruiz, Ian H. Jarman, José David Martín-Guerrero, Sandra Ortega-Martorell, Alfredo Vellido, Enrique Romero, Paulo J. G. Lisboa
Towards interpretable classifiers with blind signal separation. IJCNN (2012)
Corneliu T. C. Arsene, Paulo J. G. Lisboa
Bayesian Neural Network with and without compensation for competing risks. IJCNN (2012)
Sandra Ortega-Martorell, Paulo J. G. Lisboa, Alfredo Vellido, Margarida Julià-Sapé, Carles Arús
Non-negative matrix factorisation methods for the spectral decomposition of MRS data from human brain tumours. BMC Bioinform. 13 (2012)
Corneliu T. C. Arsene, Paulo J. G. Lisboa
Bayesian Neural Network Applied in Medical Survival Analysis of Primary Biliary Cirrhosis. UKSim (2012)
Enrique Romero, Tingting Mu, Paulo J. G. Lisboa
Cohort-based kernel visualisation with scatter matrices. Pattern Recognit. 45 (4) (2012)
Héctor Ruiz, Sandra Ortega-Martorell, Ian H. Jarman, José David Martín-Guerrero, Paulo J. G. Lisboa
Constructing similarity networks using the Fisher information metric. ESANN (2012)
Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa, C. M. Beynon, José David Martín-Guerrero
Clustering categorical data: A stability analysis framework. CIDM (2011)
Sandra Ortega-Martorell, Alfredo Vellido, Paulo J. G. Lisboa, Margarida Julià-Sapé, Carles Arús
Spectral decomposition methods for the analysis of MRS information from human brain tumors. IJCNN (2011)
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
Discovering Hidden Pathways in Bioinformatics. CIBB (2011)
Corneliu T. C. Arsene, Paulo J. G. Lisboa
PLANN-CR-ARD model predictions and Non-parametric estimates with Confidence Intervals. IJCNN (2011)
Sandra Ortega-Martorell, Paulo J. G. Lisboa, Alfredo Vellido, Rui V. Simões, Margarida Julià-Sapé, Carles Arús
Brain Tumor Pathological Area Delimitation through Non-negative Matrix Factorization. ICDM Workshops (2011)
Héctor Ruiz, Ian H. Jarman, José David Martín-Guerrero, Paulo J. G. Lisboa
The role of Fisher information in primary data space for neighbourhood mapping. ESANN (2011)
Alfredo Vellido, José David Martín-Guerrero, Fabrice Rossi, Paulo J. G. Lisboa
Seeing is believing: The importance of visualization in real-world machine learning applications. ESANN (2011)
Corneliu T. C. Arsene, Paulo J. G. Lisboa, Elia Biganzoli
Model Selection with PLANN-CR-ARD. IWANN (2) (2011)
Malcolm J. Taylor, Bashir Matata, Rod Stables, Andy Laws, D. England, Paulo J. G. Lisboa
Issues in online patient self-reporting of health status. Health Informatics J. 17 (1) (2011)
Ian H. Jarman, Terence A. Etchells, Davide Bacciu, Jonathan M. Garibaldi, Ian O. Ellis, Paulo J. G. Lisboa
Clustering of protein expression data: a benchmark of statistical and neural approaches. Soft Comput. 15 (8) (2011)
Ian H. Jarman, Terence A. Etchells, C. Perkins, M. A. Bellis, Paulo J. G. Lisboa
Scenario Analysis for Local Area Life Expectancy Using Conditional Independence Maps. DeSE (2011)
Enrique Romero, Ana Sofia Fernandes, Tingting Mu, Paulo J. G. Lisboa
Cohort-based kernel visualisation with scatter matrices. IJCNN (2010)
Paulo J. G. Lisboa, Ana Sofia Fernandes, José Manuel Fonseca, Chris Bajdik, Elia Biganzoli
Assessment of benefit vs. risk of drug therapy: The potential for outcome analysis with flexible models. IJCNN (2010)
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
A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients. Comput. Biol. Medicine 40 (3) (2010)
Paulo J. G. Lisboa, Alfredo Vellido, José David Martín-Guerrero
Computational Intelligence in biomedicine: Some contributions. ESANN (2010)
Ilaria Ardoino, Federico Ambrogi, Chris Bajdik, Paulo J. G. Lisboa, Elia Biganzoli, Patrizia Boracchi
Flexible parametric modelling of the hazard function in breast cancer studies. IJCNN (2010)
Paulo J. G. Lisboa, Alfredo Vellido, Roberto Tagliaferri, Francesco Napolitano, Michele Ceccarelli, José David Martín-Guerrero, Elia Biganzoli
Data Mining in Cancer Research [Application Notes]. IEEE Comput. Intell. Mag. 5 (1) (2010)
Valérie Bourdès, Stéphane Bonnevay, Paulo J. G. Lisboa, Rémy Defrance, David Pérol, Sylvie Chabaud, Thomas Bachelot, Thérèse Gargi, Sylvie Négrier
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. 2010 (2010)
Ana S. Fernandes, Pedro Alves, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Paulo J. G. Lisboa
A Clinical Decision Support System for Breast Cancer Patients. DoCEIS (2010)
D. Faulke, Terence A. Etchells, M. J. Harrison, Paulo J. G. Lisboa
Determination of mode of ventilation using OSRE. Comput. Biol. Medicine 39 (11) (2009)
Ali Al-Fayadh, Abir Jaafar Hussain, Paulo J. G. Lisboa, Dhiya Al-Jumeily
Novel hybrid classified vector quantization using discrete cosine transform for image compression. J. Electronic Imaging 18 (2) (2009)
Ming Li, M. Benjamin Dias, Ian H. Jarman, Wael El-Deredy, Paulo J. G. Lisboa
Grocery shopping recommendations based on basket-sensitive random walk. KDD (2009)
Azzam Fouad George Taktak, Antonio Eleuteri, Min S. Hane Aung, Paulo J. G. Lisboa, Laurence Desjardins, Bertil E. Damato
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 1 (3) (2009)
Ana S. Fernandes, José Manuel Fonseca, Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa, Elia Biganzoli, Chris Bajdik
Evaluation of missing data imputation in longitudinal cohort studies in breast cancer survival. Int. J. Knowl. Eng. Soft Data Paradigms 1 (3) (2009)
Ana S. Fernandes, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Elia Biganzoli, Chris Bajdik, Paulo J. G. Lisboa
Stratification Methodologies for Neural Networks Models of Survival. IWANN (1) (2009)
Thorsteinn S. Rögnvaldsson, Terence A. Etchells, Liwen You, Daniel Garwicz, Ian H. Jarman, Paulo J. G. Lisboa
How to find simple and accurate rules for viral protease cleavage specificities. BMC Bioinform. 10 (2009)
Davide Bacciu, Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa
Patient stratification with competing risks by multivariate Fisher distance. IJCNN (2009)
Leif E. Peterson, Paulo J. G. Lisboa
Editorial. Int. J. Knowl. Eng. Soft Data Paradigms 1 (3) (2009)
Abir Jaafar Hussain, Dhiya Al-Jumeily, Paulo J. G. Lisboa
Adaptive Classified Vector Quantisation of Non-orthogonal Representations of Images and its Application to Image Compression. CICSyN (2009)
Ana S. Fernandes, Davide Bacciu, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Paulo J. G. Lisboa
Different Methodologies for Patient Stratification Using Survival Data. CIBB (2009)
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
Partial Logistic Artificial Neural Network for Competing Risks Regularized With Automatic Relevance Determination. IEEE Trans. Neural Networks 20 (9) (2009)
Terence A. Etchells, Ana S. Fernandes, Ian H. Jarman, José Manuel Fonseca, Paulo J. G. Lisboa
Stratification of Severity of Illness Indices: A Case Study for Breast Cancer Prognosis. KES (2) (2008)
Ali Al-Fayadh, Abir Jaafar Hussain, Paulo J. G. Lisboa, Dhiya Al-Jumeily
An Adaptive Hybrid Classified Vector Quantisation and its Application to Image Compression. EMS (2008)
Azzam F. Taktak, Antonio Eleuteri, M. S. Hane Aung, Paulo J. G. Lisboa, Laurence Desjardins, Bertil E. Damato
External Validation of a Bayesian Neural Network Model in Survival Analysis. ICMLA (2008)
Ana S. Fernandes, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Elia Biganzoli, Chris Bajdik, Paulo J. G. Lisboa
Missing Data Imputation in Longitudinal Cohort Studies: Application of PLANN-ARD in Breast Cancer Survival. ICMLA (2008)
Ali Al-Fayadh, Abir Jaafar Hussain, Paulo J. G. Lisboa, Dhiya Al-Jumeily
An adaptive hybrid image compression method and its application to medical images. ISBI (2008)
Paulo J. G. Lisboa, Ian O. Ellis, Andrew R. Green, Federico Ambrogi, M. Benjamin Dias
Cluster-based visualisation with scatter matrices. Pattern Recognit. Lett. 29 (13) (2008)
Davide Bacciu, Elia Biganzoli, Paulo J. G. Lisboa, Antonina Starita
Are Model-Based Clustering and Neural Clustering Consistent? A Case Study from Bioinformatics. KES (2) (2008)
Abir Jaafar Hussain, Adam Knowles, Paulo J. G. Lisboa, Wael El-Deredy
Financial time series prediction using polynomial pipelined neural networks. Expert Syst. Appl. 35 (3) (2008)
Alfredo Vellido, Elia Biganzoli, Paulo J. G. Lisboa
Machine learning in cancer research: implications for personalised medicine. ESANN (2008)
Paulo J. G. Lisboa, Enrique Romero, Alfredo Vellido, Margarida Julià-Sapé, Carles Arús
Classification, Dimensionality Reduction, and Maximally Discriminatory Visualization of a Multicentre 1H-MRS Database of Brain Tumors. ICMLA (2008)
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
Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer. Neural Networks 21 (2-3) (2008)
Ian H. Jarman, Terence A. Etchells, José David Martín-Guerrero, Paulo J. G. Lisboa
An integrated framework for risk profiling of breast cancer patients following surgery. Artif. Intell. Medicine 42 (3) (2008)
M. Benjamin Dias, Dominique Locher, Ming Li, Wael El-Deredy, Paulo J. G. Lisboa
The value of personalised recommender systems to e-business: a case study. RecSys (2008)
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
Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer. IJCNN (2007)
Paulo J. G. Lisboa, Elia Biganzoli, Azzam F. Taktak, Terence A. Etchells, Ian H. Jarman, M. S. Hane Aung, Federico Ambrogi
Assessing flexible models and rule extraction from censored survival data. IJCNN (2007)
M. S. Hane Aung, Paulo J. G. Lisboa, Terence A. Etchells, Antonia C. Testa, Ben Van Calster, Sabine Van Huffel, Lil Valentin, Dirk Timmerman
Comparing Analytical Decision Support Models Through Boolean Rule Extraction: A Case Study of Ovarian Tumour Malignancy. ISNN (2) (2007)
Paulo J. G. Lisboa, Ian H. Jarman, Terence A. Etchells, Phillip Ramsey
A Prototype Integrated Decision Support System for Breast Cancer Oncology. IWANN (2007)
A. C. Fisher, Wael El-Deredy, R. P. Hagan, M. C. Brown, Paulo J. G. Lisboa
dynamical embedding and independent component analysis. Medical Biol. Eng. Comput. 45 (1) (2007)
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
Double-blind evaluation and benchmarking of survival models in a multi-centre study. Comput. Biol. Medicine 37 (8) (2007)
Ming Li, M. Benjamin Dias, Wael El-Deredy, Paulo J. G. Lisboa
A probabilistic model for item-based recommender systems. RecSys (2007)
Carmen M. Sordo-Garcia, M. Benjamin Dias, Ming Li, Wael El-Deredy, Paulo J. G. Lisboa
Evaluating Retail Recommender Systems via Retrospective Data: Lessons Learnt from a Live-Intervention Study. DMIN (2007)
Alfredo Vellido, Paulo J. G. Lisboa
Neural Networks and Other Machine Learning Methods in Cancer Research. IWANN (2007)
José David Martín-Guerrero, Paulo J. G. Lisboa, Emilio Soria-Olivas, Alberto Palomares, Emili Balaguer
An approach based on the Adaptive Resonance Theory for analysing the viability of recommender systems in a citizen Web portal. Expert Syst. Appl. 33 (3) (2007)
Terence A. Etchells, Paulo J. G. Lisboa
Orthogonal search-based rule extraction (OSRE) for trained neural networks: a practical and efficient approach. IEEE Trans. Neural Networks 17 (2) (2006)
Alfredo Vellido, Paulo J. G. Lisboa, Dolores Vicente
-GTM. Neurocomputing 69 (7-9) (2006)
Alfredo Vellido, Paulo J. G. Lisboa
Handling outliers in brain tumour MRS data analysis through robust topographic mapping. Comput. Biol. Medicine 36 (10) (2006)
Shail Patel, Ogi Bataveljic, Paulo J. G. Lisboa, Chris Hawkins, Rohithari Rajan
iShakti - Crossing the Digital Divide in Rural India. Web Intelligence (2006)
Abir Jaafar Hussain, Adam Knowles, Paulo J. G. Lisboa, Wael El-Deredy, Dhiya Al-Jumeily
Polynomial Pipelined Neural Network and Its Application to Financial Time Series Prediction. Australian Conference on Artificial Intelligence (2006)
Terence A. Etchells, Àngela Nebot, Alfredo Vellido, Paulo J. G. Lisboa, Francisco Mugica
Learning what is important: feature selection and rule extraction in a virtual course. ESANN (2006)
Paulo J. G. Lisboa, Azzam Fouad George Taktak
The use of artificial neural networks in decision support in cancer: A systematic review. Neural Networks 19 (4) (2006)
Andreas Lindemann, Christian L. Dunis, Paulo J. G. Lisboa
Level estimation, classification and probability distribution architectures for trading the EUR/USD exchange rate. Neural Comput. Appl. 14 (3) (2005)
Alfredo Vellido, Paulo J. G. Lisboa, Dolores Vicente
Handling outliers and missing data in brain tumour clinical assessment using t-GTM. ESANN (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Paulo J. G. Lisboa