Panagiotis Papapetrou
Panagiotis Papapetrou
Professor, Stockholm University, Sweden
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Cited by
Cited by
Generalized random shapelet forests
I Karlsson, P Papapetrou, H Boström
Data mining and knowledge discovery 30, 1053-1085, 2016
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, 1503-1529, 2014
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
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
Mining frequent arrangements of temporal intervals
P Papapetrou, G Kollios, S Sclaroff, D Gunopulos
Knowledge and Information Systems 21, 133-171, 2009
Significance testing of word frequencies in corpora
J Lijffijt, T Nevalainen, T Säily, P Papapetrou, K Puolamäki, H Mannila
Digital Scholarship in the Humanities 31 (2), 374-397, 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
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
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
Cellular traffic prediction and classification: A comparative evaluation of LSTM and ARIMA
A Azari, P Papapetrou, S Denic, G Peters
Discovery Science: 22nd International Conference, DS 2019, Split, Croatia …, 2019
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
Evaluating local interpretable model-agnostic explanations on clinical machine learning classification models
NB Kumarakulasinghe, T Blomberg, J Liu, AS Leao, P Papapetrou
2020 IEEE 33rd International Symposium on Computer-Based Medical Systems …, 2020
Explainable AI for data-driven feedback and intelligent action recommendations to support students self-regulation
M Afzaal, J Nouri, A Zia, P Papapetrou, U Fors, Y Wu, X Li, R Weegar
Frontiers in Artificial Intelligence 4, 723447, 2021
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, 238-263, 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
A classification framework for exploiting sparse multi-variate temporal features with application to adverse drug event detection in medical records
F Bagattini, I Karlsson, J Rebane, P Papapetrou
BMC medical informatics and decision making 19, 1-20, 2019
Clinical information systems and artificial intelligence: recent research trends
C Combi, G Pozzi
Yearbook of medical informatics 28 (01), 083-094, 2019
Explainable time series tweaking via irreversible and reversible temporal transformations
I Karlsson, J Rebane, P Papapetrou, A Gionis
2018 IEEE International Conference on Data Mining (ICDM), 207-216, 2018
User traffic prediction for proactive resource management: Learning-powered approaches
A Azari, P Papapetrou, S Denic, G Peters
2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019
Artemis: Assessing the similarity of event-interval sequences
O Kostakis, P Papapetrou, J Hollmén
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011
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