You are here

Sandro Vega Pons

Short bio

Sandro Vega-Pons is a Marie Curie post-doctoral fellow at NILab. He is running the research project “Brain Decoding via Clustering Ensemble and Graph Representation” which aims at developing new brain decoding methods based on machine learning tools such as clustering ensembles and graph kernels. He obtained the MSc degree in Computer Science from the University of Havana in 2007 and the PhD degree in Mathematics from the same institution in 2011. From 2007 to 2012 he was a researcher and software developer at the Advanced Technologies Application Center, Havana, Cuba. During that period he was mainly working in two projects. The first one was about the combination of unsupervised classifiers and he was mainly working on theoretical results and algorithms for clustering ensembles and image segmentation ensembles. The second one was the Cuban Licence Plate Recognition System, where he was involved in the development and programming of algorithms for image segmentation and OCR for car plate images.

Research interests
machine learning - pattern recognition - kernel methods - clustering ensemble - graph theory - neuroinformatics - brain decoding.
  •  Vega-Pons, S. and Avesani, P.: Brain Decoding via Graph Kernels, International Workshop on Pattern Recognition in Neuroimaging (PRNI), pp. 136-139, 2013.
  •  Vega-Pons, S. and Ruiz-Shulcloper, J.: A Survey of Clustering Ensemble Algorithms, International Journal of Pattern Recognition and Artificial Intelligence, 25 (3), 337 - 372, 2011.
  •  Vega-Pons, S., Ruiz-Shulcloper, J., and Guerra, A.: Weighted association based methods for the combination of heterogeneous partitions, Pattern Recognition Letters, 32, 2163 – 2170, 2011.
  •  Vega-Pons, S., Jiang, X., and Ruiz-Shulcloper, J.: Segmentation ensemble via kernels, in First Asian Conference on Pattern Recognition (ACPR), 686-690, 2011.
  •  Vega-Pons, S., Correa-Morris, J., and Ruiz-Shulcloper, J.: Weighted Partition Consensus via Kernels, Pattern Recognition, 43(8), 2712 - 2724, 2010.