Usue Mori
Usue Mori
Dirección de correo verificada de ehu.eus
Título
Citado por
Citado por
Año
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
1402015
Distance Measures for Time Series in R: The TSdist Package
U Mori, A Mendiburu, JA Lozano
The R journal 8 (2), 451-459, 2016
50*2016
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
422015
A review on distance based time series classification
A Abanda, U Mori, JA Lozano
Data Mining and Knowledge Discovery 33 (2), 378-412, 2019
362019
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 (1), 233-263, 2017
322017
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
292017
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
82015
Early classification of time series using multi-objective optimization techniques
U Mori, A Mendiburu, IM Miranda, JA Lozano
Information Sciences 492, 204-218, 2019
42019
Contributions to time series data mining departing from the problem of road travel time modeling
U Mori
University of the Basque Country, 2015
3*2015
A review on outlier/anomaly detection in time series data
A Blázquez-García, A Conde, U Mori, JA Lozano
arXiv preprint arXiv:2002.04236, 2020
2020
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
arXiv preprint arXiv:2001.09697, 2020
2020
Package ‘TSdist’
U Mori, A Mendiburu, JA Lozano, MU Mori
2019
¿ Requiere la clasiicación de series temporales métodos especíicos?
A Abanda, U Mori, JA Lozano
XVIII Conferencia de la Asociación Española para la Inteligencia Artificial …, 2018
2018
A preliminary analysis on the effect of time series clustering on short term travel time prediction models
U Mori, A Mendiburu, JA Lozano
International Work Conference on Time Series Analysis (ITISE 2015), 2015
2015
Supplementary material for the paper titled “Early classification of time series by simultaneously optimizing the accuracy and earliness”
U Mori, A Mendiburu, S Dasgupta, JA Lozano
Denbora serieen sailkapen goiztiarra helburu anitzeko optimizazio problema gisa aztertua
I Arrieta, U Mori, A Mendiburu, JA Lozano
Ekaia. EHUko Zientzia eta Teknologia aldizkaria, 0
Supplementary material for the work titled “Similarity Measure Selection for Clustering Time Series Databases”.
U Mori, A Mendiburu, JA Lozano
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–17