Local graph clustering :

We consider the problem of local graph clustering where the aim is to discover the local cluster corresponding to a point of interest. We propose a new random walk model that has less tendency to jump between the clusters.

Multitask Learning for Brain-Computer Interfaces :

Brain-computer interfaces (BCIs) are limited in their applicability in everyday settings by the current necessity of calibration prior to actual use of the BCI. In this work,we utilize the framework of multitask learning to construct a BCI that can be used without any subject-specic calibration process.

Code:

Matlab code for M. Alamgir, M. Grosse-Wentrup and Y. Altun, "Multitask Learning for Brain-Computer Interfaces", JMLR Workshop and Conference Proceedings Volume 9: AISTATS 2010, MIT Press, Cambridge, MA, USA.

Matlab code for M. Alamgir, U. von Luxburg, "Multi-agent random walks for local clustering on graphs", ICDM 2010