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Kotsifakos, A. and Papapetrou, Panagiotis and Hollmen, J. and Gunopulos, D. and Athitsos, V. and Kollios, G. (2012) Hum-a-song: a subsequence matching with gaps-range-tolerances query-by-humming system. Proceedings of the VLDB Endowment 5 (12), pp. 1930-1933. ISSN 2150-8097.

Papapetrou, Panagiotis and Chistiakova, T. and Hollmen, J. and Kalogeraki, V. and Gunopulos, D. (2012) Finding representative objects using link analysis ranking. In: UNSPECIFIED (ed.) Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments. New York, USA: ACM Publications. ISBN 9781450313001.

Kotsifakos, A. and Papapetrou, Panagiotis and Hollmen, J. and Gunopulos, D. and Athitsos, V. (2012) A survey of query-by-humming similarity methods. In: UNSPECIFIED (ed.) Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments. New York, USA: ACM Publications. ISBN 9781450313001.

Papapetrou, Panagiotis and Athitsos, V. and Potamias, M. and Kollios, G. and Gunopulos, D. (2011) Embedding-based subsequence matching in time-series databases. ACM Transactions on Database Systems 36 (3), pp. 1-39. ISSN 0362-5915.

Kotsifakos, A. and Papapetrou, Panagiotis and Hollmen, J. and Gunopulos, D. (2011) A subsequence matching with gaps-range-tolerances framework: a query-by-humming application. Proceedings of the VLDB Endowment 4 (11), pp. 761-771. ISSN 2150-8097.

Lijffijt, J. and Papapetrou, Panagiotis and Puolamäki, K. and Mannila, H. (2011) Analyzing word frequencies in large text corpora using inter-arrival times and bootstrapping. In: Gunopulos, D. and Hofmann, T. and Malerba, D. and Vazirgiannis, M. (eds.) Machine Learning and Knowledge Discovery in Databases. Berlin, Germany: Springer Verlag, pp. 341-357. ISBN 9783642237836.

Kostakis, O. and Papapetrou, Panagiotis and Hollmen, J. (2011) Artemis: assessing the similarity of event-interval sequences. In: Gunopulos, D. and Hofmann, T. and Malerba, D. and Vazirgiannis, M. (eds.) Machine Learning and Knowledge Discovery in Databases. Berlin, Germany: Springer Verlag, pp. 229-244. ISBN 9783642237829.

Kotsifakos, A. and Athitsos, V. and Papapetrou, Panagiotis and Hollmen, J. and Gunopulos, D. (2011) Model-based search in large time series databases. In: UNSPECIFIED (ed.) Proceedings of the 4th International Conference on PErvasive Technologies Related to Assistive Environments. New York, USA: ACM Publications. ISBN 9781450307727.

Papapetrou, Panagiotis and Gionis, A. and Mannila, H. (2011) A Shapley value approach for influence attribution. In: Gunopulos, D. and Hofmann, T. and Malerba, D. and Vazirgiannis, M. (eds.) Machine Learning and Knowledge Discovery in Databases. Lecture Notes in Computer Science 6912. Berlin, Germany: Springer Verlag, pp. 549-564. ISBN 9783642237836.

Puolamäki, K. and Papapetrou, Panagiotis and Lijffijt, J. (2010) Visually controllable data mining methods. In: Webb, G. and Liu, B. and Zhang, C. and Gunopulos, D. and Wu, X. (eds.) International Conference on Data Mining Workshops. Washington, USA: IEEE Computer Society, pp. 409-417. ISBN 9780769542577.

Papapetrou, Panagiotis and Athitsos, V. and Kollios, G. and Gunopulos, D. (2009) Reference-based alignment in large sequence databases. Proceedings of the VLDB Endowment 2 (1), pp. 205-216. ISSN 2150-8097.

Papapetrou, Panagiotis and Kollios, G. and Sclaroff, S. and Gunopulos, D. (2009) Mining frequent arrangements of temporal intervals. Knowledge and Information Systems 21 (2), pp. 133-171. ISSN 0219-1377.

Athitsos, V. and Papapetrou, Panagiotis and Potamias, M. and Kollios, G. and Gunopulos, D. (2008) Approximate embedding-based subsequence matching of time series. In: Lakshmanan, L.V.S. and Ng, R.T. and Shasha, D. (eds.) Proceedings of the 2008 ACM SIGMOD international conference on Management of data. New York, USA: ACM Publications, pp. 365-378. ISBN 9781605581026.

Zhang, Dell and Lee, W.S. (2006) Extracting key-substring-group features for text classification. In: Eliassi-Rad, T. and Ungar, L.H. and Craven, M. and Gunopulos, D. (eds.) Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, pp. 474-483. ISBN 978159593-3393.