2008 |
36 | EE | Alfredo Vellido,
Elia Biganzoli,
Paulo J. G. Lisboa:
Machine learning in cancer research: implications for personalised medicine.
ESANN 2008: 55-64 |
35 | EE | 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: 237-240 |
34 | EE | 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: 181-188 |
33 | EE | Terence A. Etchells,
Ana S. Fernandes,
Ian H. Jarman,
José M. Fonseca,
Paulo J. G. Lisboa:
Stratification of Severity of Illness Indices: A Case Study for Breast Cancer Prognosis.
KES (2) 2008: 214-221 |
32 | EE | 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: 291-294 |
31 | EE | Ian H. Jarman,
Terence A. Etchells,
Jose D. Martín,
Paulo J. G. Lisboa:
An integrated framework for risk profiling of breast cancer patients following surgery.
Artificial Intelligence in Medicine 42(3): 165-188 (2008) |
30 | EE | 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): 1186-1199 (2008) |
29 | EE | Paulo J. G. Lisboa,
Terence A. Etchells,
Ian H. Jarman,
M. S. Hane Aung,
Sylvie Chabaud,
Thomas Bachelot,
David Perol,
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): 414-426 (2008) |
28 | EE | Paulo J. G. Lisboa,
I. O. Ellis,
A. R. Green,
Federico Ambrogi,
M. Benjamin Dias:
Cluster-based visualisation with scatter matrices.
Pattern Recognition Letters 29(13): 1814-1823 (2008) |
2007 |
27 | | 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: 197-206 |
26 | EE | 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: 1663-1668 |
25 | EE | Paulo J. G. Lisboa,
Terence A. Etchells,
Ian H. Jarman,
M. S. Hane Aung,
Sylvie Chabaud,
Thomas Bachelot,
David Perol,
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: 2533-2538 |
24 | EE | 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: 1177-1186 |
23 | EE | Alfredo Vellido,
Paulo J. G. Lisboa:
Neural Networks and Other Machine Learning Methods in Cancer Research.
IWANN 2007: 964-971 |
22 | EE | Paulo J. G. Lisboa,
Ian H. Jarman,
Terence A. Etchells,
Phillip Ramsey:
A Prototype Integrated Decision Support System for Breast Cancer Oncology.
IWANN 2007: 996-1003 |
21 | EE | Ming Li,
M. Benjamin Dias,
Wael El-Deredy,
Paulo J. G. Lisboa:
A probabilistic model for item-based recommender systems.
RecSys 2007: 129-132 |
20 | EE | 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): 743-753 (2007) |
2006 |
19 | EE | 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: 597-606 |
18 | EE | 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: 401-406 |
17 | EE | Shail Patel,
O. Bataveljic,
Paulo J. G. Lisboa,
C. Hawkins,
R. Rajan:
iShakti - Crossing the Digital Divide in Rural India.
Web Intelligence 2006: 1061-1065 |
16 | EE | Terence A. Etchells,
Paulo J. G. Lisboa:
Orthogonal search-based rule extraction (OSRE) for trained neural networks: a practical and efficient approach.
IEEE Transactions on Neural Networks 17(2): 374-384 (2006) |
15 | EE | Alfredo Vellido,
Paulo J. G. Lisboa,
Dolores Vicente:
Robust analysis of MRS brain tumour data using t-GTM.
Neurocomputing 69(7-9): 754-768 (2006) |
2005 |
14 | EE | Alfredo Vellido,
Paulo J. G. Lisboa,
Dolores Vicente:
Handling outliers and missing data in brain tumour clinical assessment using t-GTM.
ESANN 2005: 121-126 |
13 | EE | Alfredo Vellido,
Paulo J. G. Lisboa:
Functional topographic mapping for robust handling of outliers in brain tumour data.
ESANN 2005: 133-138 |
12 | EE | Andreas Lindemann,
Christian L. Dunis,
Paulo J. G. Lisboa:
Level estimation, classification and probability distribution architectures for trading the EUR/USD exchange rate.
Neural Computing and Applications 14(3): 256-271 (2005) |
2004 |
11 | EE | Paulo J. G. Lisboa,
Shail Patel:
Cluster-Based Visualisation of Marketing Data.
IDEAL 2004: 552-558 |
2003 |
10 | EE | 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.
Artificial Intelligence in Medicine 28(1): 1-25 (2003) |
2002 |
9 | EE | Paulo J. G. Lisboa:
A review of evidence of health benefit from artificial neural networks in medical intervention.
Neural Networks 15(1): 11-39 (2002) |
8 | EE | Paulo J. G. Lisboa,
Terence A. Etchells,
Dave C. Pountney:
Minimal MLPs do not model the XOR logic.
Neurocomputing 48(1-4): 1033-1037 (2002) |
2001 |
7 | EE | Alfredo Vellido,
Paulo J. G. Lisboa:
An Electronic Commerce Application of the Bayesian Framework for MLPs: The Effect of Marginalisation and ARD.
Neural Computing and Applications 10(1): 3-11 (2001) |
2000 |
6 | EE | 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.
IJCNN (3) 2000: 47-52 |
5 | | Alfredo Vellido,
Paulo J. G. Lisboa,
Karon Meehan:
Segmenting the e-Commerce Market Using the Generative Topographic Mapping.
MICAI 2000: 470-481 |
4 | EE | 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.
Int. J. Comput. Syst. Signal 1(2): 119-138 (2000) |
3 | EE | Paulo J. G. Lisboa,
Alfredo Vellido,
H. Wong:
Bias reduction in skewed binary classification with Bayesian neural networks.
Neural Networks 13(4-5): 407-410 (2000) |
1999 |
2 | EE | 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.
Computer Vision and Image Understanding 74(1): 96-100 (1999) |
1996 |
1 | EE | V. S. Kodogiannis,
Paulo J. G. Lisboa,
J. Lucas:
Neural network modelling and control for underwater vehicles.
AI in Engineering 10(3): 203-212 (1996) |