| Year |
Citation |
Score |
| 2024 |
Ungan G, Pons-Escoda A, Ulinic D, Arús C, Ortega-Martorell S, Olier I, Vellido A, Majós C, Julià-Sapé M. Early pseudoprogression and progression lesions in glioblastoma patients are both metabolically heterogeneous. Nmr in Biomedicine. e5095. PMID 38213096 DOI: 10.1002/nbm.5095 |
0.568 |
|
| 2019 |
Hernández-Villegas Y, Ortega-Martorell S, Arús C, Vellido A, Julià-Sapé M. Extraction of artefactual MRS patterns from a large database using non-negative matrix factorization. Nmr in Biomedicine. e4193. PMID 31793715 DOI: 10.1002/Nbm.4193 |
0.311 |
|
| 2019 |
Vellido A. The importance of interpretability and visualization in machine learning for applications in medicine and health care Neural Computing and Applications. 1-15. DOI: 10.1007/S00521-019-04051-W |
0.32 |
|
| 2018 |
König C, Shaim I, Vellido A, Romero E, Alquézar R, Giraldo J. Using machine learning tools for protein database biocuration assistance. Scientific Reports. 8: 10148. PMID 29977071 DOI: 10.1038/S41598-018-28330-Z |
0.301 |
|
| 2015 |
Lisboa PJG, Martín-Guerrero JD, Vellido A. Making nonlinear manifold learning models interpretable: The manifold grand tour Expert Systems With Applications. 42: 8982-8988. DOI: 10.1016/J.Eswa.2015.07.054 |
0.34 |
|
| 2014 |
Arizmendi C, Sierra DA, Vellido A, Romero E. Automated classification of brain tumours from short echo time in vivo MRS data using Gaussian Decomposition and Bayesian Neural Networks Expert Systems With Applications. 41: 5296-5307. DOI: 10.1016/J.Eswa.2014.02.031 |
0.303 |
|
| 2014 |
Tosi A, Olier I, Vellido A. Probability Ridges and Distortion Flows: Visualizing Multivariate Time Series Using a Variational Bayesian Manifold Learning Method Advances in Intelligent Systems and Computing. 295: 55-64. DOI: 10.1007/978-3-319-07695-9_5 |
0.61 |
|
| 2013 |
Ortega-Martorell S, Ruiz H, Vellido A, Olier I, Romero E, Julià-Sapé M, Martín JD, Jarman IH, Arús C, Lisboa PJ. A novel semi-supervised methodology for extracting tumor type-specific MRS sources in human brain data. Plos One. 8: e83773. PMID 24376744 DOI: 10.1371/Journal.Pone.0083773 |
0.622 |
|
| 2013 |
Cruz-Barbosa R, Vellido A. Generative manifold learning for the exploration of partially labeled data Computacion Y Sistemas. 17: 641-653. DOI: 10.13053/Cys-17-4-1326 |
0.367 |
|
| 2013 |
Vilamala A, Lisboa PJG, Ortega-Martorell S, Vellido A. Discriminant Convex Non-negative Matrix Factorization for the classification of human brain tumours Pattern Recognition Letters. 34: 1734-1747. DOI: 10.1016/J.Patrec.2013.05.023 |
0.318 |
|
| 2013 |
Vellido A, García DL, Nebot A. Cartogram visualization for nonlinear manifold learning models Data Mining and Knowledge Discovery. 27: 22-54. DOI: 10.1007/S10618-012-0294-6 |
0.369 |
|
| 2012 |
Ortega-Martorell S, Lisboa PJ, Vellido A, Julià-Sapé M, Arús C. Non-negative matrix factorisation methods for the spectral decomposition of MRS data from human brain tumours. Bmc Bioinformatics. 13: 38. PMID 22401579 DOI: 10.1186/1471-2105-13-38 |
0.326 |
|
| 2012 |
Cárdenas MI, Vellido A, Olier I, Rovira X, Giraldo J. Kernel generative topographic mapping of protein sequences Medical Applications of Intelligent Data Analysis: Research Advancements. 195-208. DOI: 10.4018/978-1-4666-1803-9.ch013 |
0.593 |
|
| 2012 |
Arizmendi C, Vellido A, Romero E. Classification of human brain tumours from MRS data using Discrete Wavelet Transform and Bayesian Neural Networks Expert Systems With Applications. 39: 5223-5232. DOI: 10.1016/J.Eswa.2011.11.017 |
0.302 |
|
| 2012 |
Cárdenas MI, Vellido A, Olier I, Rovira X, Giraldo J. Complementing Kernel-based visualization of protein sequences with their phylogenetic tree Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7548: 136-149. DOI: 10.1007/978-3-642-35686-5_12 |
0.594 |
|
| 2011 |
Cruz-Barbosa R, Vellido A. Semi-supervised analysis of human brain tumours from partially labeled MRS information, using manifold learning models. International Journal of Neural Systems. 21: 17-29. PMID 21243728 DOI: 10.1142/S0129065711002626 |
0.323 |
|
| 2011 |
Olier I, Amengual J, Vellido A. A variational Bayesian approach for the robust analysis of the cortical silent period from EMG recordings of brain stroke patients Neurocomputing. 74: 1301-1314. DOI: 10.1016/J.Neucom.2010.12.006 |
0.619 |
|
| 2010 |
Cruz-Barbosa R, Vellido A. Semi-supervised geodesic Generative Topographic Mapping Pattern Recognition Letters. 31: 202-209. DOI: 10.1016/J.Patrec.2009.09.029 |
0.353 |
|
| 2010 |
González-Navarro FF, Belanche-Muñoz LA, Romero E, Vellido A, Julià-Sapé M, Arús C. Feature and model selection with discriminatory visualization for diagnostic classification of brain tumors Neurocomputing. 73: 622-632. DOI: 10.1016/J.Neucom.2009.07.018 |
0.352 |
|
| 2010 |
Ortega-Martorell S, Olier I, Vellido A, Julià-Sapé M, Arús C. Spectral Prototype Extraction for dimensionality reduction in brain tumour diagnosis Proceedings of the 18th European Symposium On Artificial Neural Networks - Computational Intelligence and Machine Learning, Esann 2010. 445-450. |
0.559 |
|
| 2010 |
Olier I, Amengual J, Vellido A. Segmentation of EMG time series using a variational Bayesian approach for the robust estimation of cortical silent periods Proceedings of the 18th European Symposium On Artificial Neural Networks - Computational Intelligence and Machine Learning, Esann 2010. 439-444. |
0.596 |
|
| 2010 |
Vellido A, Cárdenas MI, Olier I, Rovira X, Giraldo J. A probabilistic approach to the visual exploration of G Protein-Coupled Receptor sequences Esann 2011 Proceedings, 19th European Symposium On Artificial Neural Networks, Computational Intelligence and Machine Learning. 233-238. |
0.588 |
|
| 2009 |
Vellido A, Olier I. Clustering and visualization of multivariate time series Handbook of Research On Machine Learning Applications and Trends: Algorithms, Methods, and Techniques. 176-194. DOI: 10.4018/978-1-60566-766-9.ch008 |
0.601 |
|
| 2008 |
Olier I, Vellido A. Advances in clustering and visualization of time series using GTM through time. Neural Networks : the Official Journal of the International Neural Network Society. 21: 904-13. PMID 18653311 DOI: 10.1016/J.Neunet.2008.05.013 |
0.657 |
|
| 2008 |
Olier I, Vellido A. On the benefits for model regularization of a Variational formulation of GTM Proceedings of the International Joint Conference On Neural Networks. 1568-1575. DOI: 10.1109/IJCNN.2008.4634005 |
0.583 |
|
| 2008 |
Olier I, Vellido A. A variational formulation for GTM through time Proceedings of the International Joint Conference On Neural Networks. 516-521. DOI: 10.1109/IJCNN.2008.4633841 |
0.593 |
|
| 2008 |
Olier I, Vellido A. Variational Bayesian generative topographic mapping Journal of Mathematical Modelling and Algorithms. 7: 371-387. DOI: 10.1007/S10852-008-9088-7 |
0.673 |
|
| 2007 |
Vellido A, Martí E, Comas J, Rodríguez-Roda I, Sabater F. Exploring the ecological status of human altered streams through Generative Topographic Mapping Environmental Modelling and Software. 22: 1053-1065. DOI: 10.1016/J.Envsoft.2006.06.005 |
0.343 |
|
| 2007 |
Vellido A, Andrade AO. Determination of feature relevance for the grouping of motor unit action potentials through a generative mixture model Biomedical Signal Processing and Control. 2: 111-121. DOI: 10.1016/J.Bspc.2007.05.007 |
0.329 |
|
| 2007 |
Olier I, Vellido A. Variational GTM Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4881: 77-86. |
0.559 |
|
| 2006 |
Vellido A, Lisboa PJ. Handling outliers in brain tumour MRS data analysis through robust topographic mapping. Computers in Biology and Medicine. 36: 1049-63. PMID 16305794 DOI: 10.1016/J.Compbiomed.2005.09.004 |
0.348 |
|
| 2006 |
Vellido A, Lisboa PJG, Vicente D. Robust analysis of MRS brain tumour data using t-GTM Neurocomputing. 69: 754-768. DOI: 10.1016/J.Neucom.2005.12.005 |
0.35 |
|
| 2006 |
Olier I, Vellido A. Capturing the dynamics of multivariate time series through visualization using generative topographic mapping through time Ieee International Conference On Engineering of Intelligent Systems, Iceis 2006. |
0.626 |
|
| 2006 |
Olier I, Vellido A. Time series relevance determination through a topology-constrained Hidden Markov Model Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4224: 40-47. |
0.605 |
|
| 2005 |
Olier I, Vellido A. Comparative assessment of the robustness of missing data imputation through generative topographic mapping Lecture Notes in Computer Science. 3512: 787-794. |
0.6 |
|
| 2004 |
Vicente D, Vellido A, Martí E, Comas J, Rodriguez-Roda I. Exploration of the ecological status of mediterranean rivers: Clustering, visualizing and reconstructing streams data using generative topographic mapping Management Information Systems. 10: 121-130. DOI: 10.2495/Data040121 |
0.335 |
|
| 2003 |
Vellido A, El-Deredy W, Lisboa PG. Selective smoothing of the generative topographic mapping. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 14: 847-52. PMID 18238064 DOI: 10.1109/Tnn.2003.813834 |
0.316 |
|
| 1999 |
Vellido A, Lisboa PJG, Meehan K. Segmentation of the on-line shopping market using neural networks Expert Systems With Applications. 17: 303-314. DOI: 10.1016/S0957-4174(99)00042-1 |
0.315 |
|
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