Paulo J. G. Lisboa
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
50
Venues
16
Active years
1992–2022
Best venue rank
A*
Where they publish
Papers
50 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | IJCNN | Towards interpretable machine learning for clinical decision support. | Bradley Walters, Sandra Ortega-Martorell, Ivn Olier, Paulo J. G. Lisboa |
| 2020 | IPMU | Explaining the Neural Network: A Case Study to Model the Incidence of Cervical Cancer. | Paulo J. G. Lisboa, Sandra Ortega-Martorell, Ivn Olier |
| 2019 | IJCNN | Scalable implementation of measuring distances in a Riemannian manifold based on the Fisher Information metric. | Ral V. Casaa Eslava, Jos David Martn-Guerrero, Sandra Ortega-Martorell, Paulo J. G. Lisboa, Ian H. Jarman |
| 2017 | IJCNN | A robust method for the interpretation of genomic data. | Jade Hind, Abir Jaafar Hussain, Dhiya Al-Jumeily, Basma Abdulaimma, Casimiro Aday Curbelo Montaez, Paulo J. G. Lisboa |
| 2016 | ESANN | Performance assessment of quantum clustering in non-spherical data distributions. | Ral V. Casaa Eslava, Jos David Martn-Guerrero, Ian H. Jarman, Paulo J. G. Lisboa |
| 2016 | ESANN | Physics and Machine Learning: Emerging Paradigms. | Jos David Martn-Guerrero, Paulo J. G. Lisboa, Alfredo Vellido |
| 2014 | CIDM | A framework for initialising a dynamic clustering algorithm: ART2-A. | Simon J. Chambers, Ian H. Jarman, Paulo J. G. Lisboa |
| 2014 | CIDM | Semi-supervised source extraction methodology for the nosological imaging of glioblastoma response to therapy. | Sandra Ortega-Martorell, Ivn Olier, Teresa Delgado-Goni, Magdalena Ciezka, Margarida Juli-Sap, Paulo J. G. Lisboa, Carles Ars |
| 2014 | CIDM | Automatic relevance source determination in human brain tumors using Bayesian NMF. | Sandra Ortega-Martorell, Ivn Olier, Margarida Juli-Sap, Carles Ars, Paulo J. G. Lisboa |
| 2012 | CIBCB | Multicentre study design in survival analysis. | Corneliu T. C. Arsene, Paulo J. G. Lisboa |
| 2012 | ESANN | Constructing similarity networks using the Fisher information metric. | Hctor Ruiz, Sandra Ortega-Martorell, Ian H. Jarman, Jos David Martn-Guerrero, Paulo J. G. Lisboa |
| 2012 | ESANN | Making machine learning models interpretable. | Alfredo Vellido, Jos David Martn-Guerrero, Paulo J. G. Lisboa |
| 2012 | IJCNN | Bayesian Neural Network with and without compensation for competing risks. | Corneliu T. C. Arsene, Paulo J. G. Lisboa |
| 2012 | IJCNN | Towards interpretable classifiers with blind signal separation. | Hctor Ruiz, Ian H. Jarman, Jos David Martn-Guerrero, Sandra Ortega-Martorell, Alfredo Vellido, Enrique Romero, Paulo J. G. Lisboa |
| 2011 | CIDM | Clustering categorical data: A stability analysis framework. | Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa, C. M. Beynon, Jos David Martn-Guerrero |
| 2011 | DeSE | 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 |
| 2011 | ESANN | The role of Fisher information in primary data space for neighbourhood mapping. | Hctor Ruiz, Ian H. Jarman, Jos David Martn-Guerrero, Paulo J. G. Lisboa |
| 2011 | ESANN | Seeing is believing: The importance of visualization in real-world machine learning applications. | Alfredo Vellido, Jos David Martn-Guerrero, Fabrice Rossi, Paulo J. G. Lisboa |
| 2011 | ICDM | Brain Tumor Pathological Area Delimitation through Non-negative Matrix Factorization. | Sandra Ortega-Martorell, Paulo J. G. Lisboa, Alfredo Vellido, Rui V. Simes, Margarida Juli-Sap, Carles Ars |
| 2011 | IJCNN | PLANN-CR-ARD model predictions and Non-parametric estimates with Confidence Intervals. | Corneliu T. C. Arsene, Paulo J. G. Lisboa |
| 2011 | IJCNN | Spectral decomposition methods for the analysis of MRS information from human brain tumors. | Sandra Ortega-Martorell, Alfredo Vellido, Paulo J. G. Lisboa, Margarida Juli-Sap, Carles Ars |
| 2011 | IWANN | Model Selection with PLANN-CR-ARD. | Corneliu T. C. Arsene, Paulo J. G. Lisboa, Elia Biganzoli |
| 2010 | ESANN | Computational Intelligence in biomedicine: Some contributions. | Paulo J. G. Lisboa, Alfredo Vellido, Jos David Martn-Guerrero |
| 2010 | IJCNN | 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 |
| 2010 | IJCNN | Assessment of benefit vs. risk of drug therapy: The potential for outcome analysis with flexible models. | Paulo J. G. Lisboa, Ana Sofia Fernandes, Jos Manuel Fonseca, Chris Bajdik, Elia Biganzoli |
| 2010 | IJCNN | Cohort-based kernel visualisation with scatter matrices. | Enrique Romero, Ana Sofia Fernandes, Tingting Mu, Paulo J. G. Lisboa |
| 2009 | IJCNN | Patient stratification with competing risks by multivariate Fisher distance. | Davide Bacciu, Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa |
| 2009 | IWANN | Stratification Methodologies for Neural Networks Models of Survival. | Ana S. Fernandes, Ian H. Jarman, Terence A. Etchells, Jos Manuel Fonseca, Elia Biganzoli, Chris Bajdik, Paulo J. G. Lisboa |
| 2009 | KDD | Grocery shopping recommendations based on basket-sensitive random walk. | Ming Li, M. Benjamin Dias, Ian H. Jarman, Wael El-Deredy, Paulo J. G. Lisboa |
| 2008 | ESANN | Machine learning in cancer research: implications for personalised medicine. | Alfredo Vellido, Elia Biganzoli, Paulo J. G. Lisboa |
| 2008 | ICMLA | Missing Data Imputation in Longitudinal Cohort Studies: Application of PLANN-ARD in Breast Cancer Survival. | Ana S. Fernandes, Ian H. Jarman, Terence A. Etchells, Jos Manuel Fonseca, Elia Biganzoli, Chris Bajdik, Paulo J. G. Lisboa |
| 2008 | ICMLA | 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 Juli-Sap, Carles Ars |
| 2008 | ICMLA | 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 |
| 2008 | KES | Are Model-Based Clustering and Neural Clustering Consistent? A Case Study from Bioinformatics. | Davide Bacciu, Elia Biganzoli, Paulo J. G. Lisboa, Antonina Starita |
| 2008 | KES | Stratification of Severity of Illness Indices: A Case Study for Breast Cancer Prognosis. | Terence A. Etchells, Ana S. Fernandes, Ian H. Jarman, Jos Manuel Fonseca, Paulo J. G. Lisboa |
| 2008 | RecSys | 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 |
| 2007 | IJCNN | 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 |
| 2007 | IJCNN | 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 Prol, Thrse Gargi, Valrie Bourds, Stphane Bonnevay, Sylvie Ngrier |
| 2007 | ISNN | 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 |
| 2007 | IWANN | A Prototype Integrated Decision Support System for Breast Cancer Oncology. | Paulo J. G. Lisboa, Ian H. Jarman, Terence A. Etchells, Phillip Ramsey |
| 2007 | IWANN | Neural Networks and Other Machine Learning Methods in Cancer Research. | Alfredo Vellido, Paulo J. G. Lisboa |
| 2007 | RecSys | A probabilistic model for item-based recommender systems. | Ming Li, M. Benjamin Dias, Wael El-Deredy, Paulo J. G. Lisboa |
| 2006 | ESANN | Learning what is important: feature selection and rule extraction in a virtual course. | Terence A. Etchells, ngela Nebot, Alfredo Vellido, Paulo J. G. Lisboa, Francisco Mugica |
| 2005 | ESANN | Functional topographic mapping for robust handling of outliers in brain tumour data. | Alfredo Vellido, Paulo J. G. Lisboa |
| 2005 | ESANN | Handling outliers and missing data in brain tumour clinical assessment using t-GTM. | Alfredo Vellido, Paulo J. G. Lisboa, Dolores Vicente |
| 2004 | IDEAL | Cluster-Based Visualisation of Marketing Data. | Paulo J. G. Lisboa, Shail Patel |
| 2000 | IJCNN | 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 |
| 1999 | IJCNN | Dealing with censorship in neural network models. | H. Wong, P. Harris, Paulo J. G. Lisboa, S. P. J. Kirby, R. Swindell |
| 1997 | ICASSP | Fast face recognition method using a multistage hierarchical network. | Maxim A. Grudin, David M. Harvey, Leonid I. Timchenko, Paulo J. G. Lisboa |
| 1992 | ICPR | The role of local scale and orientation in feature location using neural nets. | Paulo J. G. Lisboa, M. Mallaiah |