The SCEAS System
Navigation Menu

Search the dblp DataBase


Paulo J. G. Lisboa: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. 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. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2006, pp:597-606 [Conf]
  2. 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. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:401-406 [Conf]
  3. Alfredo Vellido, Paulo J. G. Lisboa
    Functional topographic mapping for robust handling of outliers in brain tumour data. [Citation Graph (0, 0)][DBLP]
    ESANN, 2005, pp:133-138 [Conf]
  4. Alfredo Vellido, Paulo J. G. Lisboa, Dolores Vicente
    Handling outliers and missing data in brain tumour clinical assessment using t-GTM. [Citation Graph (0, 0)][DBLP]
    ESANN, 2005, pp:121-126 [Conf]
  5. Paulo J. G. Lisboa, Shail Patel
    Cluster-Based Visualisation of Marketing Data. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2004, pp:552-558 [Conf]
  6. A. Agogino, Joydeep Ghosh, Stavros J. Perantonis, Vassilis Virvilis, Sergios Petridis, Paulo J. G. Lisboa
    The Role of Multiple, Linear-Projection Based Visualization Techniques in RBF-Based Classification of High Dimensional Data. [Citation Graph (0, 0)][DBLP]
    IJCNN (3), 2000, pp:47-52 [Conf]
  7. Alfredo Vellido, Paulo J. G. Lisboa, Karon Meehan
    Segmenting the e-Commerce Market Using the Generative Topographic Mapping. [Citation Graph (0, 0)][DBLP]
    MICAI, 2000, pp:470-481 [Conf]
  8. Shail Patel, O. Bataveljic, Paulo J. G. Lisboa, C. Hawkins, R. Rajan
    iShakti - Crossing the Digital Divide in Rural India. [Citation Graph (0, 0)][DBLP]
    Web Intelligence, 2006, pp:1061-1065 [Conf]
  9. V. S. Kodogiannis, Paulo J. G. Lisboa, J. Lucas
    Neural network modelling and control for underwater vehicles. [Citation Graph (0, 0)][DBLP]
    AI in Engineering, 1996, v:10, n:3, pp:203-212 [Journal]
  10. Paulo J. G. Lisboa, H. Wong, P. Harris, R. Swindell
    A Bayesian neural network approach for modelling censored data with an application to prognosis after surgery for breast cancer. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2003, v:28, n:1, pp:1-25 [Journal]
  11. K. Glossop, Paulo J. G. Lisboa, P. C. Russell, A. Siddans, G. R. Jones
    An Implementation of the Hough Transformation for the Identification and Labelling of Fixed Period Sinusoidal Curves. [Citation Graph (0, 0)][DBLP]
    Computer Vision and Image Understanding, 1999, v:74, n:1, pp:96-100 [Journal]
  12. 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. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2007, v:33, n:3, pp:743-753 [Journal]
  13. Alfredo Vellido, Paulo J. G. Lisboa, Karon Meehan
    The generative topographic mapping as a principal model for data visualization and market segmentation: an electronic commerce case. [Citation Graph (0, 0)][DBLP]
    Int. J. Comput. Syst. Signal, 2000, v:1, n:2, pp:119-138 [Journal]
  14. Paulo J. G. Lisboa, Terence A. Etchells, Dave C. Pountney
    Minimal MLPs do not model the XOR logic. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:48, n:1-4, pp:1033-1037 [Journal]
  15. Alfredo Vellido, Paulo J. G. Lisboa, Dolores Vicente
    Robust analysis of MRS brain tumour data using t-GTM. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:7-9, pp:754-768 [Journal]
  16. Andreas Lindemann, Christian L. Dunis, Paulo J. G. Lisboa
    Level estimation, classification and probability distribution architectures for trading the EUR/USD exchange rate. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 2005, v:14, n:3, pp:256-271 [Journal]
  17. Alfredo Vellido, Paulo J. G. Lisboa
    An Electronic Commerce Application of the Bayesian Framework for MLPs: The Effect of Marginalisation and ARD. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 2001, v:10, n:1, pp:3-11 [Journal]
  18. Paulo J. G. Lisboa
    A review of evidence of health benefit from artificial neural networks in medical intervention. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2002, v:15, n:1, pp:11-39 [Journal]
  19. Paulo J. G. Lisboa, Alfredo Vellido, H. Wong
    Bias reduction in skewed binary classification with Bayesian neural networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2000, v:13, n:4-5, pp:407-410 [Journal]
  20. M. S. H. Aung, Paulo J. G. Lisboa, Terence A. Etchells, A. C. Testa, Ben Van Calster, Sabine Van Huffel, L. Valentin, Dirk Timmerman
    Comparing Analytical Decision Support Models Through Boolean Rule Extraction: A Case Study of Ovarian Tumour Malignancy. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2007, pp:1177-1186 [Conf]
  21. Alfredo Vellido, Paulo J. G. Lisboa
    Neural Networks and Other Machine Learning Methods in Cancer Research. [Citation Graph (0, 0)][DBLP]
    IWANN, 2007, pp:964-971 [Conf]
  22. Paulo J. G. Lisboa, Ian H. Jarman, Terence A. Etchells, Phillip Ramsey
    A Prototype Integrated Decision Support System for Breast Cancer Oncology. [Citation Graph (0, 0)][DBLP]
    IWANN, 2007, pp:996-1003 [Conf]

  23. Evaluating Retail Recommender Systems via Retrospective Data: Lessons Learnt from a Live-Intervention Study. [Citation Graph (, )][DBLP]

  24. Machine learning in cancer research: implications for personalised medicine. [Citation Graph (, )][DBLP]

  25. Classification, Dimensionality Reduction, and Maximally Discriminatory Visualization of a Multicentre 1H-MRS Database of Brain Tumors. [Citation Graph (, )][DBLP]

  26. Missing Data Imputation in Longitudinal Cohort Studies: Application of PLANN-ARD in Breast Cancer Survival. [Citation Graph (, )][DBLP]

  27. External Validation of a Bayesian Neural Network Model in Survival Analysis. [Citation Graph (, )][DBLP]

  28. A Clinical Decision Support System for Breast Cancer Patients. [Citation Graph (, )][DBLP]

  29. Assessing flexible models and rule extraction from censored survival data. [Citation Graph (, )][DBLP]

  30. Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer. [Citation Graph (, )][DBLP]

  31. An adaptive hybrid image compression method and its application to medical images. [Citation Graph (, )][DBLP]

  32. Stratification Methodologies for Neural Networks Models of Survival. [Citation Graph (, )][DBLP]

  33. Grocery shopping recommendations based on basket-sensitive random walk. [Citation Graph (, )][DBLP]

  34. Stratification of Severity of Illness Indices: A Case Study for Breast Cancer Prognosis. [Citation Graph (, )][DBLP]

  35. Are Model-Based Clustering and Neural Clustering Consistent? A Case Study from Bioinformatics. [Citation Graph (, )][DBLP]

  36. The value of personalised recommender systems to e-business: a case study. [Citation Graph (, )][DBLP]

  37. A probabilistic model for item-based recommender systems. [Citation Graph (, )][DBLP]

  38. Different Methodologies for Patient Stratification Using Survival Data. [Citation Graph (, )][DBLP]

  39. An Adaptive Hybrid Classified Vector Quantisation and its Application to Image Compression. [Citation Graph (, )][DBLP]

  40. An integrated framework for risk profiling of breast cancer patients following surgery. [Citation Graph (, )][DBLP]

  41. How to find simple and accurate rules for viral protease cleavage specificities. [Citation Graph (, )][DBLP]

Search in 0.004secs, Finished in 0.006secs
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
System created by [] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002