Semi-random model tree ensembles: an effective and scalable regression method

A discussion on sampling graphs to approximate network classification functions

Experiments with Randomisation and Boosting for Multi-instance Classification

Machine Learning Application Development

Overlapping correlation clustering

Distributed clustering from data streams

Adaptive pre-processing for streaming data

Spectral Learning Methods for Finite State Machines with Applications to Natural Language Tagging and Parsing

A query language for analyzing networks