Alfredo Vellido / research

Research in progress

Universal ethical code for scientists (2006) (Council for Science and Technology, UK. CST report)

A. Vellido in dblp , Google Scholar , ResearchGate , ORCID

Research areas     Machine Learning and Computational Intelligence. Biomedical, bioinformatics, business, and other applications of ML and CI.

Research projects

Until the end of 2015 I worked, as a main researcher (investigador principal - IP) in KAPPA-AIM, a MINECO TIN area research project in the area of pharmacoproteomics.
From 2017, I am IP of KAPPA-AIM 2 (TIN2016-79576-R), advancing from the results of the previous project.

For older projects of the SOCO Research Group, you can find further information here

Miembro de la Red Española de Minería de Datos y Aprendizaje (Spanish Data Mining Network)
Member of the IEEE Systems, Man & Cybernetics Society Spanish Chapter,
the ACIA and ATICA research networks, as well as co-chair of the IEEE-CIS Data Mining Technical Committee - Task Force on Medical Data Analysis and Data Mining.

Research students

Already doctors
Iván Olier
Variational Bayesian Algorithms for Generative Topographic Mapping and its Extensions. Awarded, Dec'08.
Raúl Cruz Generative Manifold Learning for the Exploration of Partially Labeled Data.
Awarded, Sept'09
Carlos Julio Arizmendi
Signal Processing Techniques for Brain Tumour Diagnosis from Magnetic Resonance Spectroscopy Data. Awarded, Feb'12

Sandra Ortega-Martorell On the Use of Advanced Pattern Recognition Techniques for the Analysis of MRS and MRSI Data in Neuro-Oncology.  Awarded, June'12 (UAB)
Vicent Ribas On the Intelligent Management of Sepsis at the Intensive Care Unit. Awarded January'13
David García
Exploration of Customer Churn Routes Using Machine Learning Probabilistic Models.
Awarded April'14
Alessandra Tosi Visualization and Interpretability in Probabilistic Dimensionality Reduction Models. Awarded December '14 [ESTEVA-VIVANCO FAMILY PRIZE: BEST PHD THESIS ON ARTIFICIAL INTELLIGENCE (accessit)]
Albert Vilamala Multivariate Methods for Interpretable Analysis of Magnetic Resonance Spectroscopy Data in Brain Tumour Diagnosis. Awarded December '15
Victor Mocioiu Towards an automated analysis pipeline for MRS data: a prototype based on brain tumors. Awarded, July'16 (UAB)
Martha Ivón Cárdenas A Computational Intelligence Analysis of G Protein-Coupled Receptor Sequences for Pharmacoproteomic Applications. Awarded, September'17



Caroline König (Computational Intelligence in Pharmacoproteomics)
Yanisleydis Hernández (Matrix Factorization Methods in Neuro-Oncology) UAB/UPC

Ricardo Fernández (Modelling of a Banking Insurance Problem)


Jorge S. Velazco: The Effect of Noise and Sample Size in the Performance of an Unsupervised Feature Relevance Determination Method for Manifold Learning. Awarded, June'08
Julià Amengual: Advanced Statistical Machine Learning Methods for the Analysis of Neurophysiologic Data with Medical Application. Awarded, June'10
Martha I. Cárdenas: Kernel-Based Manifold Visualization of GPCR Sequences. Awarded, June'11
Àngela Martín: Cartogram Representations of Self-Organizing Virtual Geographies. Awarded, September'13
Stavros Koulas: Using Fuzzy Methods for Rule Extraction in the Discrimination of Class C GPCR Subtypes from their Subsequences . Awarded, September'14
Christiana Halka: Class C GPCR Metabotropic Glutamate Receptor Subtype Discrimination Using Computational Intelligence Methods. Awarded, November'14
Emil Racec: A Stochastic Approach for Automatic Layout Synthesis in Interior Design, Using a Learning-Based Scoring Function. Awarded, July'16
Stefania Budulan: Probabilistic Methods for Furnishing Bedrooms in Interior Design: Bayesian Networks for occurrence Modeling and GMMs for Furnishing Arrangement. Awarded, July'16

Carla Morant: Random Forest-Based Discrimination of G Protein-Coupled Receptors. Awarded, September'16 (Universitat de Vic - UVic)
Carles Morales: Investigating Prognostic Factors in Sepsis Using Computational Intelligence Methods. Awarded, October'16
Elva Sinaí Gutiérrez: A Virtual Reality Mobile App for Exploratory Data Navigation in Data Mining Education. Awarded, July'17

Main research collaborators

    Paulo JG Lisboa (Neural Computation. Liverpool John Moores University. Liverpool, UK)

    Wael El-Deredy (Cognition and Cognitive Neuroscience. The University of Manchester. Manchester, UK)

    Carles Arús and Margarida Julià-Sapé (GABRMN, UAB. Spain)
    Jesús Giraldo (Systems Pharmacology and Bioinformatics, UAB, Spain)

    José D. Martín (UV, Spain)

Previous collaborations

    Adriano O Andrade (Biomedical Engineering Laboratory. Federal University of Uberlandia, Brasil)
Eugenia Martí (CEAB-CSIC. Blanes, Spain) Quim Comas (LEQUIA, Universitat de Girona. Girona, Spain)


last updated  19/09/17