LARCA UPC

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Experiments with Randomisation and Boosting for Multi-instance Classification

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

A query language for analyzing networks

A discussion on sampling graphs to approximate network classification functions

Overlapping correlation clustering

Machine Learning Application Development

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

Distributed clustering from data streams

Adaptive pre-processing for streaming data