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Usue Mori
Usue Mori
Verified email at ehu.eus
Title
Cited by
Cited by
Year
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
9742021
A review on distance based time series classification
A Abanda, U Mori, JA Lozano
Data Mining and Knowledge Discovery 33 (2), 378-412, 2019
3532019
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
3012015
Distance Measures for Time Series in R: The TSdist Package
U Mori, A Mendiburu, JA Lozano
The R journal 8 (2), 451-459, 2016
135*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
1132017
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
1072017
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
1052020
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
872015
Early classification of time series using multi-objective optimization techniques
U Mori, A Mendiburu, IM Miranda, JA Lozano
Information Sciences 492, 204-218, 2019
562019
Mutual information based feature subset selection in multivariate time series classification
J Ircio, A Lojo, U Mori, JA Lozano
Pattern Recognition 108, 107525, 2020
532020
Water leak detection using self-supervised time series classification
A Blázquez-García, A Conde, U Mori, JA Lozano
Information Sciences 574, 528-541, 2021
332021
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
292023
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
172015
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
162022
Time series classifier recommendation by a meta-learning approach
A Abanda, U Mori, JA Lozano
Pattern Recognition 128, 108671, 2022
92022
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
72023
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
42023
Ad-hoc explanation for time series classification
A Abanda, U Mori, JA Lozano
Knowledge-Based Systems 252, 109366, 2022
42022
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
32023
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