A review on outlier/anomaly detection in time series data A Blázquez-García, A Conde, U Mori, JA Lozano ACM computing surveys (CSUR) 54 (3), 1-33, 2021 | 932 | 2021 |
A review on distance based time series classification A Abanda, U Mori, JA Lozano Data Mining and Knowledge Discovery 33 (2), 378-412, 2019 | 339 | 2019 |
A review of travel time estimation and forecasting for advanced traveller information systems U Mori, A Mendiburu, M Álvarez, JA Lozano Transportmetrica A: Transport Science 11 (2), 119-157, 2015 | 296 | 2015 |
Distance Measures for Time Series in R: The TSdist Package U Mori, A Mendiburu, JA Lozano The R journal 8 (2), 451-459, 2016 | 134* | 2016 |
Early classification of time series by simultaneously optimizing the accuracy and earliness U Mori, A Mendiburu, S Dasgupta, JA Lozano IEEE transactions on neural networks and learning systems 29 (10), 4569-4578, 2017 | 111 | 2017 |
Reliable early classification of time series based on discriminating the classes over time U Mori, A Mendiburu, E Keogh, JA Lozano Data mining and knowledge discovery 31, 233-263, 2017 | 106 | 2017 |
Survey of network intrusion detection methods from the perspective of the knowledge discovery in databases process B Molina-Coronado, U Mori, A Mendiburu, J Miguel-Alonso IEEE Transactions on Network and Service Management 17 (4), 2451-2479, 2020 | 103 | 2020 |
Similarity measure selection for clustering time series databases U Mori, A Mendiburu, JA Lozano IEEE Transactions on Knowledge and Data Engineering 28 (1), 181-195, 2015 | 86 | 2015 |
Early classification of time series using multi-objective optimization techniques U Mori, A Mendiburu, IM Miranda, JA Lozano Information Sciences 492, 204-218, 2019 | 55 | 2019 |
Mutual information based feature subset selection in multivariate time series classification J Ircio, A Lojo, U Mori, JA Lozano Pattern Recognition 108, 107525, 2020 | 53 | 2020 |
Water leak detection using self-supervised time series classification A Blázquez-García, A Conde, U Mori, JA Lozano Information Sciences 574, 528-541, 2021 | 33 | 2021 |
Towards a fair comparison and realistic evaluation framework of android malware detectors based on static analysis and machine learning B Molina-Coronado, U Mori, A Mendiburu, J Miguel-Alonso Computers & Security 124, 102996, 2023 | 26 | 2023 |
Early Classification of Time Series from a Cost Minimization Point of View U Mori, A Mendiburu, D Sanjoy, JA Lozano NIPS time series workshop, 2015 | 17 | 2015 |
A multivariate time series streaming classifier for predicting hard drive failures [application notes] J Ircio, A Lojo, JA Lozano, U Mori IEEE Computational Intelligence Magazine 17 (1), 102-114, 2022 | 14 | 2022 |
Time series classifier recommendation by a meta-learning approach A Abanda, U Mori, JA Lozano Pattern Recognition 128, 108671, 2022 | 9 | 2022 |
Selective imputation for multivariate time series datasets with missing values A Blázquez-García, K Wickstrøm, S Yu, KØ Mikalsen, A Boubekki, ... IEEE Transactions on Knowledge and Data Engineering 35 (9), 9490-9501, 2023 | 7 | 2023 |
Contributions to time series data mining departing from the problem of road travel time modeling U Mori University of the Basque Country, 2015 | 6* | 2015 |
Minimum recall-based loss function for imbalanced time series classification J Ircio, A Lojo, U Mori, S Malinowski, JA Lozano IEEE Transactions on Knowledge and Data Engineering 35 (10), 10024-10034, 2023 | 4 | 2023 |
Ad-hoc explanation for time series classification A Abanda, U Mori, JA Lozano Knowledge-Based Systems 252, 109366, 2022 | 4 | 2022 |
Efficient concept drift handling for batch android malware detection models B Molina-Coronado, U Mori, A Mendiburu, J Miguel-Alonso Pervasive and Mobile Computing 96, 101849, 2023 | 3 | 2023 |