2009 |
37 | EE | Frank-Michael Schleif,
Michael Biehl,
Alfredo Vellido:
Advances in machine learning and computational intelligence.
Neurocomputing 72(7-9): 1377-1378 (2009) |
2008 |
36 | | Raúl Cruz-Barbosa,
Alfredo Vellido:
Two-Stage Clustering of a Human Brain Tumour Dataset using Manifold Learning Models.
BIOSIGNALS (2) 2008: 191-196 |
35 | EE | Alfredo Vellido,
Elia Biganzoli,
Paulo J. G. Lisboa:
Machine learning in cancer research: implications for personalised medicine.
ESANN 2008: 55-64 |
34 | EE | Enrique Romero,
Margarida Julià-Sapé,
Alfredo Vellido:
DSS-oriented exploration of a multi-centre magnetic resonance spectroscopy brain tumour dataset through visualization.
ESANN 2008: 95-100 |
33 | EE | Raúl Cruz-Barbosa,
Alfredo Vellido:
Unfolding the Manifold in Generative Topographic Mapping.
HAIS 2008: 392-399 |
32 | EE | Raúl Cruz-Barbosa,
Alfredo Vellido:
Geodesic Generative Topographic Mapping.
IBERAMIA 2008: 113-122 |
31 | | Alfredo Vellido,
Jorge S. Velazco:
Assessment of the Effect of Noise on an Unsupervised Feature Selection Method for Generative Topographic Mapping.
ICEIS (2) 2008: 424-430 |
30 | EE | Raúl Cruz-Barbosa,
Alfredo Vellido:
On the Improvement of the Mapping Trustworthiness and Continuity of a Manifold Learning Model.
IDEAL 2008: 266-273 |
29 | EE | Iván Olier,
Alfredo Vellido:
On the benefits for model regularization of a variational formulation of GTM.
IJCNN 2008: 1568-1575 |
28 | EE | Iván Olier,
Alfredo Vellido:
A variational formulation for GTM through time.
IJCNN 2008: 516-521 |
27 | EE | Alfredo Vellido,
Jorge S. Velazco:
The effect of noise and sample size on an unsupervised feature selection method for manifold learning.
IJCNN 2008: 522-527 |
26 | EE | Àngela Nebot,
Félix Castro,
Alfredo Vellido,
Margarida Julià-Sapé,
Carles Arús:
Rule-Based Assistance to Brain Tumour Diagnosis Using LR-FIR.
KES (2) 2008: 173-180 |
25 | EE | Alfredo Vellido,
Margarida Julià-Sapé,
Enrique Romero,
Carles Arús:
Exploratory Characterization of Outliers in a Multi-centre 1H-MRS Brain Tumour Dataset.
KES (2) 2008: 189-196 |
24 | EE | Iván Olier,
Alfredo Vellido:
Advances in clustering and visualization of time series using GTM through time.
Neural Networks 21(7): 904-913 (2008) |
2007 |
23 | EE | Raúl Cruz-Barbosa,
Alfredo Vellido:
On the Initialization of Two-Stage Clustering with Class-GTM.
CAEPIA 2007: 50-59 |
22 | EE | David L. García,
Alfredo Vellido,
Àngela Nebot:
Identification of churn routes in the Brazilian telecommunications market.
ESANN 2007: 585-590 |
21 | EE | Iván Olier,
Alfredo Vellido:
Variational GTM.
IDEAL 2007: 77-86 |
20 | EE | Alfredo Vellido,
Paulo J. G. Lisboa:
Neural Networks and Other Machine Learning Methods in Cancer Research.
IWANN 2007: 964-971 |
19 | EE | Raúl Cruz-Barbosa,
Alfredo Vellido:
On the Influence of Class Information in the Two-Stage Clustering of a Human Brain Tumour Dataset.
MICAI 2007: 472-482 |
18 | EE | Alfredo Vellido,
Eugenia Martí,
Joaquim Comas,
Ignasi Rodríguez-Roda,
Francesc Sabater:
Exploring the ecological status of human altered streams through Generative Topographic Mapping.
Environmental Modelling and Software 22(7): 1053-1065 (2007) |
2006 |
17 | 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 |
16 | EE | Alfredo Vellido:
Assessment of an Unsupervised Feature Selection Method for Generative Topographic Mapping.
ICANN (2) 2006: 361-370 |
15 | EE | Jordi Poveda,
Alfredo Vellido:
Neural Network Models for Language Acquisition: A Brief Survey.
IDEAL 2006: 1346-1357 |
14 | EE | Iván Olier,
Alfredo Vellido:
Time Series Relevance Determination Through a Topology-Constrained Hidden Markov Model.
IDEAL 2006: 40-47 |
13 | EE | Alfredo Vellido,
Terence A. Etchells,
David L. García,
Àngela Nebot:
Describing Customer Loyalty to Spanish Petrol Stations Through Rule Extraction.
IDEAL 2006: 970-977 |
12 | | Raúl Cruz,
Alfredo Vellido:
On the improvement of brain tumour data clustering using class information.
STAIRS 2006: 253-254 |
11 | EE | Alfredo Vellido:
Missing data imputation through GTM as a mixture of t-distributions.
Neural Networks 19(10): 1624-1635 (2006) |
10 | 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 |
9 | 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 |
8 | EE | Alfredo Vellido,
Paulo J. G. Lisboa:
Functional topographic mapping for robust handling of outliers in brain tumour data.
ESANN 2005: 133-138 |
7 | | Félix Castro,
Alfredo Vellido,
Àngela Nebot,
Julià Minguillón:
Finding Relevant Features to Characterize Student Behavior on an e-Learning System.
FECS 2005: 210- |
6 | EE | Iván Olier,
Alfredo Vellido:
Comparative Assessment of the Robustness of Missing Data Imputation Through Generative Topographic Mapping.
IWANN 2005: 787-794 |
2002 |
5 | | Alfredo Vellido:
Neural Networks for B2C E-Commerce Analysis: Some Elements of Best Practice.
ICEIS 2002: 439-445 |
2001 |
4 | 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 |
3 | | Alfredo Vellido,
Paulo J. G. Lisboa,
Karon Meehan:
Segmenting the e-Commerce Market Using the Generative Topographic Mapping.
MICAI 2000: 470-481 |
2 | 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) |
1 | 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) |