Alfredo Vellido
Alfredo Vellido
Full Professor in Artificial Intelligence, Universitat Politècnica de Catalunya (UPC
Geverifieerd e-mailadres voor cs.upc.edu - Homepage
Geciteerd door
Geciteerd door
Neural networks in business: a survey of applications (1992–1998)
A Vellido, PJG Lisboa, J Vaughan
Expert Systems with applications 17 (1), 51-70, 1999
Applying data mining techniques to e-learning problems
F Castro, A Vellido, A Nebot, F Mugica
Evolution of teaching and learning paradigms in intelligent environment, 183-221, 2007
The importance of interpretability and visualization in machine learning for applications in medicine and health care
A Vellido
Neural computing and applications 32 (24), 18069-18083, 2020
Making machine learning models interpretable.
A Vellido, JD Martín-Guerrero, PJG Lisboa
ESANN 12, 163-172, 2012
Segmentation of the on-line shopping market using neural networks
A Vellido, PJG Lisboa, K Meehan
Expert systems with applications 17 (4), 303-314, 1999
Quantitative characterization and prediction of on-line purchasing behavior: A latent variable approach
A Vellido, PJG Lisboa, K Meehan
International journal of electronic commerce 4 (4), 83-104, 2000
Societal issues concerning the application of artificial intelligence in medicine
A Vellido
Kidney Diseases 5 (1), 11-17, 2019
Intelligent data analysis approaches to churn as a business problem: a survey
DL García, À Nebot, A Vellido
Knowledge and Information Systems 51 (3), 719-774, 2017
Business applications of neural networks: the state-of-the-art of real-world applications
PJG Lisboa, B Edisbury, A Vellido
World scientific, 2000
Metrics for probabilistic geometries
A Tosi, S Hauberg, A Vellido, ND Lawrence
arXiv preprint arXiv:1411.7432, 2014
Clustering educational data
A Vellido, F Castro, A Nebot
Handbook of educational data mining, 75-92, 2010
Machine learning in critical care: state-of-the-art and a sepsis case study
A Vellido, V Ribas, C Morales, A Ruiz Sanmartín, JC Ruiz Rodríguez
Biomedical engineering online 17, 1-18, 2018
Data mining in cancer research [application notes]
PJG Lisboa, A Vellido, R Tagliaferri, F Napolitano, M Ceccarelli, ...
IEEE computational intelligence magazine 5 (1), 14-18, 2010
Classification of human brain tumours from MRS data using Discrete Wavelet Transform and Bayesian Neural Networks
C Arizmendi, A Vellido, E Romero
Expert Systems with Applications 39 (5), 5223-5232, 2012
Severe sepsis mortality prediction with relevance vector machines
VJ Ribas, JC López, A Ruiz-Sanmartín, JC Ruiz-Rodríguez, J Rello, ...
2011 annual international conference of the IEEE engineering in medicine and …, 2011
Machine learning for clinical decision-making: challenges and opportunities in cardiovascular imaging
S Sanchez-Martinez, O Camara, G Piella, M Cikes, ...
Frontiers in cardiovascular medicine 8, 765693, 2022
Seeing is believing: The importance of visualization in real-world machine learning applications
A Vellido Alcacena, JD Martín, F Rossi, PJG Lisboa
Proceedings: 19th European Symposium on Artificial Neural Networks …, 2011
Missing data imputation through GTM as a mixture of t-distributions
A Vellido
Neural Networks 19 (10), 1624-1635, 2006
The coming of age of interpretable and explainable machine learning models
PJG Lisboa, S Saralajew, A Vellido, R Fernández-Domenech, T Villmann
Neurocomputing 535, 25-39, 2023
Convex non-negative matrix factorization for brain tumor delimitation from MRSI data
S Ortega-Martorell, PJG Lisboa, A Vellido, RV Simões, M Pumarola, ...
Public Library of Science 7 (10), e47824, 2012
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