| 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 | 140 | 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 | 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 | 42 | 2015 |
| A review on distance based time series classification A Abanda, U Mori, JA Lozano Data Mining and Knowledge Discovery 33 (2), 378-412, 2019 | 36 | 2019 |
| 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 | 32 | 2017 |
| 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 | 29 | 2017 |
| 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 | 8 | 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 | 4 | 2019 |
| 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 | | |
Jose A. LozanoU. of the Basque Country, Basque Center for Applied Mathematics, Research Associate at Sherpa.aiDirección de correo verificada de ehu.es
