A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastases

Carles Arús , Urspeter Knecht , Margarida Julià Sapé , Johannes Slotboom
the european symposium on artificial neural networks 247 -252

3
2016
Studying embedded human EEG dynamics using generative topographic mapping

Paulo J G Lisboa , Alfredo Vellido Alcacena , W. El-Deredy

1
2004
Bayesian semi non-negative matrix factorisation

Albert Vilamala Muñoz , Alfredo Vellido Alcacena , Luis Antonio Belanche Muñoz ,
the european symposium on artificial neural networks 195 -200

2016
Societal issues in machine learning: when learning from data is not enough

Battista Biggio , Luca Oneto , Davide Bacciu , Paulo J G Lisboa
the european symposium on artificial neural networks 455 -464

1
2019
Rule-based assistance to brain tumour diagnosis using LR-FIR

M Àngela Nebot Castells , Félix Agustín Castro Espinoza , Alfredo Vellido Alcacena , Margarida Julià Sapé
Future Technology Press

2009
Radiomics-based assessment of optical coherence tomography angiography images for diabetic retinopathy diagnosis

Laura Carrera Escale , Anass Benali Bendahmane , Ann Christin Rathert , Ruben Martín Pinardel
Ophtalmology science 3 ( 2, article 100259)

2023
The importance of interpretability and visualization in ML for medical applications

Alfredo Vellido Alcacena
XIX Conferencia de la Asociación Española para la Inteligencia Artificial CAEPIA 20/21: 22-24 de septiembre de 2021, Málaga, España 830 -831

2021
Investigating human cancer with computational intelligence techniques

Alfredo Vellido Alcacena , Paulo JG Lisboa
Future Technology Press

2009
SEMI-SUPERVISED ANALYSIS OF HUMAN BRAIN TUMOURS FROM PARTIALLY LABELED MRS INFORMATION, USING MANIFOLD LEARNING MODELS

RAÚL CRUZ-BARBOSA , ALFREDO VELLIDO
International Journal of Neural Systems 21 ( 1) 17 -29

26
2011
A methodology for the characterization of business-to-consumer E-commerce

Aifredo Vellido
Liverpool John Moores University (United Kingdom)

15
2000
Discovering Subtype Specific n-Gram Motifs in Class C GPCR N-ermini T

Caroline K ONIG , Rene ALQUEZAR , Alfredo VELLIDO , Jesus GIRALDO
Recent Advances in Artificial Intelligence Research and Development: Proceedings of the 20th International Conference of the Catalan Association for Artificial Intelligence, Deltebre, Terres de L'Ebre, Spain, October 25-27, 2017 300 116 -116

2017
Computational Intelligence in architectural and interior design: a state-ofthe-art and outlook on the field

Emil RACEC , Stefania BUDULAN , Alfredo VELLIDO
Barcelona: Universitat Politècnica de Catalunya

6
2016
Finding Relevant Features to Characterize Student Behavior on an e-Learning System.

Alfredo Vellido , Àngela Nebot , Félix Castro , Julià Minguillón
FECS 210

5
2005
Identification of fuzzy models to predict students performance in an e-learning environment

Alfredo Vellido , Angela Nebot , Félix Castro , Francisco Mugica
international conference on web based education 74 -79

21
2006
Characterization of atypical virtual campus usage behavior through robust generative relevance analysis

Alfredo Vellido , Angela Nebot , Félix Castro , Francisco Mugica
international conference on web based education 183 -188

7
2006
Assessment of the Effect of Noise on an Unsupervised Feature Selection Method for Generative Topographic Mapping.

Alfredo Vellido , Jorge S. Velazco
international conference on enterprise information systems 424 -430

2008
Reducing the n-gram feature space of class C GPCRs to subtype-discriminating patterns.

Alfredo Vellido , Jesús Giraldo , Caroline König , René Alquézar
Journal of Integrative Bioinformatics 11 ( 3) 254

3
2014