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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