Panagiotis Papapetrou

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Vassilis AthitsosProfessor, Computer Science and Engineering Department, University of Texas at ArlingtonVerified email at uta.edu
Henrik BoströmProfessor in computer science - data science systems, KTH Royal Institute of TechnologyVerified email at kth.se
Dimitrios GunopulosNational and Kapodistrian University of AthensVerified email at di.uoa.gr
George KolliosProfessor of Computer Science, Boston UniversityVerified email at bu.edu
Lars AskerAssociate Professor in Computer and Systems Sciences, Stockholm UniversityVerified email at dsv.su.se
Jaakko HollménAalto University, FinlandVerified email at aalto.fi
Kai PuolamäkiAssociate Professor, University of Helsinki, FinlandVerified email at helsinki.fi
Jefrey LijffijtAssistant ProfessorVerified email at ugent.be
Alexios KotsifakosComputer Science and Engineering Department, University of Texas at ArlingtonVerified email at mavs.uta.edu
Michalis PotamiasGoogleVerified email at cs.bu.edu
Orestis KostakisMicrosoftVerified email at microsoft.com
Andreas HeneliusOP Financial GroupVerified email at op.fi
Stan SclaroffDean of Arts & Sciences, Professor of Computer Science, Boston UniversityVerified email at bu.edu
Aristides GionisKTH Royal Institute of Technology, and Aalto UniversityVerified email at kth.se
Irvin HomemDFIR Consultant, IBM; Researcher, Department of Computer & System Sciences, Stockholm UniversityVerified email at dsv.su.se
Tanja SäilyDepartment of Languages, University of HelsinkiVerified email at helsinki.fi
Gary BensonAssociate Professor, Computer Science, Bioinformatics, Biology, Boston University Verified email at bu.edu
Sven HelmerSenior Research Associate, University of ZurichVerified email at ifi.uzh.ch
Evangelos KotsifakosResearcher, University of Piraeus GreeceVerified email at unipi.gr
Ana Pilar González-MarcosProfesora - Universidad Politécnica de MadridVerified email at tfo.upm.es

Panagiotis Papapetrou

Professor, Stockholm University, Sweden

Verified email at dsv.su.se

temporal data mining explainable machine learning healthcare applications


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Nearest neighbor retrieval using distance-based hashing V Athitsos, M Potamias, P Papapetrou, G Kollios 2008 IEEE 24th International Conference on Data Engineering, 327-336, 2008	136	2008
Discovering frequent arrangements of temporal intervals P Papapetrou, G Kollios, S Sclaroff, D Gunopulos Fifth IEEE International Conference on Data Mining (ICDM'05), 8 pp., 2005	123	2005
Mining frequent arrangements of temporal intervals P Papapetrou, G Kollios, S Sclaroff, D Gunopulos Knowledge and Information Systems 21 (2), 133-171, 2009	97	2009
Approximate embedding-based subsequence matching of time series V Athitsos, P Papapetrou, M Potamias, G Kollios, D Gunopulos Proceedings of the 2008 ACM SIGMOD international conference on Management of …, 2008	92	2008
Embedding-based subsequence matching in time-series databases P Papapetrou, V Athitsos, M Potamias, G Kollios, D Gunopulos ACM Transactions on Database Systems (TODS) 36 (3), 1-39, 2011	84	2011
A peek into the black box: exploring classifiers by randomization A Henelius, K Puolamäki, H Boström, L Asker, P Papapetrou Data mining and knowledge discovery 28 (5), 1503-1529, 2014	83	2014
Generalized random shapelet forests I Karlsson, P Papapetrou, H Boström Data mining and knowledge discovery 30 (5), 1053-1085, 2016	74	2016
Significance testing of word frequencies in corpora J Lijffijt, T Nevalainen, T Säily, P Papapetrou, K Puolamäki, H Mannila Literary and Linguistic Computing 31 (2), 374-397, 2016	72	2016
Learning from heterogeneous temporal data in electronic health records J Zhao, P Papapetrou, L Asker, H Boström Journal of biomedical informatics 65, 105-119, 2017	61	2017
A statistical significance testing approach to mining the most informative set of patterns J Lijffijt, P Papapetrou, K Puolamäki Data Mining and Knowledge Discovery 28 (1), 238-263, 2014	43	2014
A survey of query-by-humming similarity methods A Kotsifakos, P Papapetrou, J Hollmén, D Gunopulos, V Athitsos Proceedings of the 5th International Conference on PErvasive Technologies …, 2012	34	2012
Seq2Seq RNNs and ARIMA models for cryptocurrency prediction: A comparative study J Rebane, I Karlsson, P Papapetrou, S Denic SIGKDD Fintech’18, London, UK, August 19-23, 2018, 2018	33	2018
Reference-based alignment in large sequence databases P Papapetrou, V Athitsos, G Kollios, D Gunopulos Proceedings of the VLDB Endowment 2 (1), 205-216, 2009	32	2009
Artemis: Assessing the similarity of event-interval sequences O Kostakis, P Papapetrou, J Hollmén Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011	30	2011
A subsequence matching with gaps-range-tolerances framework: a query-by-humming application A Kotsifakos, P Papapetrou, J Hollmén, D Gunopulos Proceedings of the VLDB Endowment 4 (11), 761-771, 2011	25	2011
IBSM: Interval-based sequence matching A Kotsifakos, P Papapetrou, V Athitsos Proceedings of the 2013 SIAM International Conference on Data Mining, 596-604, 2013	24	2013
Size matters: Finding the most informative set of window lengths J Lijffijt, P Papapetrou, K Puolamäki Joint European Conference on Machine Learning and Knowledge Discovery in …, 2012	22	2012
Distance measure for querying sequences of temporal intervals O Kostakis, P Papapetrou, J Hollmén Proceedings of the 4th international conference on pervasive technologies …, 2011	21*	2011
Genre classification of symbolic music with SMBGT A Kotsifakos, EE Kotsifakos, P Papapetrou, V Athitsos Proceedings of the 6th international conference on PErvasive technologies …, 2013	20	2013
Cellular traffic prediction and classification: A comparative evaluation of LSTM and ARIMA A Azari, P Papapetrou, S Denic, G Peters International Conference on Discovery Science, 129-144, 2019	19	2019

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