Year |
Citation |
Score |
2019 |
Bagattini F, Karlsson I, Rebane J, Papapetrou P. A classification framework for exploiting sparse multi-variate temporal features with application to adverse drug event detection in medical records. Bmc Medical Informatics and Decision Making. 19: 7. PMID 30630486 DOI: 10.1186/S12911-018-0717-4 |
0.312 |
|
2019 |
Karlsson I, Rebane J, Papapetrou P, Gionis A. Locally and globally explainable time series tweaking Knowledge and Information Systems. 62: 1671-1700. DOI: 10.1007/S10115-019-01389-4 |
0.392 |
|
2016 |
Zhao J, Papapetrou P, Asker L, Boström H. Learning from Heterogeneous Temporal Data in Electronic Health Records. Journal of Biomedical Informatics. PMID 27919732 DOI: 10.1016/J.Jbi.2016.11.006 |
0.424 |
|
2016 |
Kotsifakos A, Athitsos V, Papapetrou P. Query-sensitive distance measure selection for time series nearest neighbor classification Intelligent Data Analysis. 20: 5-27. DOI: 10.3233/IDA-150791 |
0.374 |
|
2015 |
Kotsifakos A, Stefan A, Athitsos V, Das G, Papapetrou P. DRESS: dimensionality reduction for efficient sequence search Data Mining and Knowledge Discovery. 29: 1280-1311. DOI: 10.1007/S10618-015-0413-2 |
0.53 |
|
2015 |
Kostakis O, Papapetrou P. Finding the longest common sub-pattern in sequences of temporal intervals Data Mining and Knowledge Discovery. 29: 1178-1210. DOI: 10.1007/S10618-015-0404-3 |
0.455 |
|
2015 |
Kotsifakos A, Karlsson I, Papapetrou P, Athitsos V, Gunopulos D. Embedding-based subsequence matching with gaps–range–tolerances: a Query-By-Humming application Vldb Journal. 24: 519-536. DOI: 10.1007/s00778-015-0387-0 |
0.418 |
|
2015 |
Jangyodsuk P, Papapetrou P, Athitsos V. Optimizing hashing functions for similarity indexing in arbitrary metric and nonmetric spaces Siam International Conference On Data Mining 2015, Sdm 2015. 828-836. |
0.317 |
|
2014 |
Lijffijt J, Papapetrou P, Puolamäki K. Size matters: choosing the most informative set of window lengths for mining patterns in event sequences Data Mining and Knowledge Discovery. 29: 1838-1864. DOI: 10.1007/S10618-014-0397-3 |
0.43 |
|
2014 |
Henelius A, Puolamäki K, Boström H, Asker L, Papapetrou P. A peek into the black box: Exploring classifiers by randomization Data Mining and Knowledge Discovery. 28: 1503-1529. DOI: 10.1007/S10618-014-0368-8 |
0.343 |
|
2014 |
Lijffijt J, Papapetrou P, Puolamäki K. A statistical significance testing approach to mining the most informative set of patterns Data Mining and Knowledge Discovery. 28: 238-263. DOI: 10.1007/S10618-012-0298-2 |
0.406 |
|
2013 |
Kotsifakos A, Papapetrou P, Athitsos V. IBSM: Interval-based sequence matching Proceedings of the 2013 Siam International Conference On Data Mining, Sdm 2013. 596-604. |
0.412 |
|
2012 |
Papapetrou P, Benson G, Kollios G. Mining poly-regions in DNA. International Journal of Data Mining and Bioinformatics. 6: 406-28. PMID 23155771 DOI: 10.1504/IJDMB.2012.049278 |
0.607 |
|
2012 |
Kotsifakos A, Papapetrou P, Hollméhn J, Gunopulos D, Athitsos V. A survey of query-by-humming similarity methods Acm International Conference Proceeding Series. DOI: 10.1145/2413097.2413104 |
0.353 |
|
2012 |
Kotsifakos A, Papapetrou P, Hollmén J, Gunopulos D, Athitsos V, Kollios G. Hum-a-song: A subsequence matching with gaps-range-tolerances query-by-humming system Proceedings of the Vldb Endowment. 5: 1930-1933. |
0.598 |
|
2011 |
Papapetrou P, Athitsos V, Potamias M, Kollios G, Gunopulos D. Embedding-based subsequence matching in time-series databases Acm Transactions On Database Systems. 36. DOI: 10.1145/2000824.2000827 |
0.725 |
|
2011 |
Papapetrou P, Pizzato LA, Gionis A, Cai X, Bain M, Berkovsky S, Garriga G, Guy I, Gunopulos D, Hollmen J, Kay J, Koprinska I, Kronman U, Lappas T, Mahidadia A, et al. Preface Proceedings - Ieee International Conference On Data Mining, Icdm. xxxi-xxxii. DOI: 10.1109/ICDMW.2011.192 |
0.657 |
|
2011 |
Kostakis O, Papapetrou P, Hollmén J. ARTEMIS: Assessing the similarity of event-interval sequences Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6912: 229-244. DOI: 10.1007/978-3-642-23783-6_15 |
0.38 |
|
2011 |
Kostakis O, Papapetrou P, Hollmén J. Distance measure for querying sequences of temporal intervals Acm International Conference Proceeding Series. |
0.372 |
|
2011 |
Kotsifakos A, Papapetrou P, Hollmén J, Gunopulos D. A subsequence matching with gaps-range-tolerances framework: A query-by-humming application Proceedings of the Vldb Endowment. 4: 761-771. |
0.481 |
|
2010 |
Lijffijt J, Papapetrou P, Hollmén J, Athitsos V. Benchmarking Dynamic Time Warping for music retrieval Acm International Conference Proceeding Series. DOI: 10.1145/1839294.1839365 |
0.402 |
|
2009 |
Papapetrou P, Doliotis P, Athitsos V. Towards faster activity search using embeddingbased subsequence matching Acm International Conference Proceeding Series. DOI: 10.1145/1579114.1579180 |
0.383 |
|
2009 |
Papapetrou P, Kollios G, Sclaroff S, Gunopulos D. Mining frequent arrangements of temporal intervals Knowledge and Information Systems. 21: 133-171. DOI: 10.1007/S10115-009-0196-0 |
0.688 |
|
2009 |
Papapetrou P, Athitsos V, Kollios G, Gunopulos D. Reference-based alignment in large sequence databases Proceedings of the Vldb Endowment. 2: 205-216. |
0.674 |
|
2008 |
Athitsos V, Papapetrou P, Potamias M, Kollios G, Gunopulos D. Approximate embedding-based subsequence matching of time series Proceedings of the Acm Sigmod International Conference On Management of Data. 365-378. DOI: 10.1145/1376616.1376656 |
0.727 |
|
2008 |
Athitsos V, Potamias M, Papapetrou P, Kollios G. Nearest neighbor retrieval using distance-based hashing Proceedings - International Conference On Data Engineering. 327-336. DOI: 10.1109/ICDE.2008.4497441 |
0.699 |
|
2006 |
Papapetrou P, Benson G, Kollios G. Discovering frequent poly-regions in DNA sequences Proceedings - Ieee International Conference On Data Mining, Icdm. 94-98. |
0.647 |
|
2005 |
Papapetrou P, Kollios G, Sclaroff S, Gunopulos D. Discovering frequent arrangements of temporal intervals Proceedings - Ieee International Conference On Data Mining, Icdm. 354-361. DOI: 10.1109/ICDM.2005.50 |
0.66 |
|
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