Publications
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Matteo Ceccarello and Johann Gamper:
Fast and Scalable Mining of Time Series Motifs with Probabilistic Guarantees
Proceedings of the VLDB Endowment, Vol. 15, Issue 13, pp. 3841-3853, 2022.
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Adam Charane, Matteo Ceccarello, Anton Dignös, and Johann Gamper:
Efficient Computation of All-Window Length Correlations
Proceedings of the 15th International Baltic Conference on Digital Business and Intelligent Systems (DB&IS), Riga, Latvia, pp. 251-266, July 4-6, 2022.
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Claudio Contini:
Synthetic generation of realistic time series using feature extraction, shape clustering and Markov Chain sequence generator
MSc thesis 2022, advised by Matteo Ceccarello.
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Marcelo Eduardo Redoschi:
An exploration of industrial printers' data
Capstone Project 2022, advised by Anton Dignös.
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Ulrike Niederstätter:
Pump Curves for Predictive Maintenance
Capstone Project 2022, advised by Matteo Ceccarello.
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Deivid Bardhi:
Predictive Maintenance for Industrial Equipment - an Experimental Evaluation
BSc thesis 2022, advised by Anton Dignös and Johann Gamper.
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Francesco Piccoli:
Interactive exploration of time series through motif discovery
BSc thesis 2021, advised by Matteo Ceccarello and Johann Gamper.