Department of Information and Computer Science
Aalto University, Espoo, Finland


MEKA: Multilabel Extension to weKA

I maintain the MEKA project for multi-label classification:

A Java framework containing around two dozen multi-label and multi-output classifiers for train/test, cross validation, incremental and semi-supervised learning.

MOA: Massive Online Analysis

I am involved in the MOA project:

A2RMS: Implementation of the A2RMS Sampling Algorithm

I (with Luca Martino and David Luengo) maintain Matlab/GNU Octave code for the A2RMS sampling algorithm.

DPFlib: A library in C for distributed particle filters.

I developed code for implementing distributed particle filters on very low powered sensor motes, in the TinyOS operating system. However, the code is also standalone and can be compiled and run by regular C. Here is a video of a deployment.


Datasets which I have created (or parsed into a new format) are available at; some of which are now also available from the mulan website.