Volver

Usue Mori

BCAM Researcher

M +34 946 567 842
F +34 946 567 842
E umori@bcamath.org

Information of interest

Usue Mori received the MSc degree in mathematics, and a PhD in computer science from the University of the Basque Country UPV/EHU, Spain, in 2010 and 2015, respectively.  She is currently working as a lecturer in the Department of Computer Science and Artificial Intelligence of the University of the Basque Country UPV/EHU. 

Her research focuses on time series mining. Particularly, the main goal of her research is to provide methodological solutions to problems in the area of time series classification, anomaly detection in temporal data, clustering time series, etc. In addition she also works actively in applications in Industry 4.0, cibersecurity and health collaborating with different companies and technological centers.

  • Time Series Classifier Recommendation by a Meta-Learning Approach 

    Abanda, A.Autoridad BCAM; Mori, U.Autoridad BCAM; Lozano, J.A.Autoridad BCAM (2022-03-26)
    This work addresses time series classifier recommendation for the first time in the literature by considering several recommendation forms or meta-targets: classifier accuracies, complete ranking, top-M ranking, best set ...
  • Ad-Hoc Explanation for Time Series Classification 

    Abanda, A.Autoridad BCAM; Mori, U.Autoridad BCAM; Lozano, J.A.Autoridad BCAM (2022)
    In this work, a perturbation-based model-agnostic explanation method for time series classification is presented. One of the main novelties of the proposed method is that the considered perturbations are interpretable and ...
  • A Review on Outlier/Anomaly Detection in Time Series Data 

    Blázquez-García, A.; Conde, A.; Mori, U.Autoridad BCAM; Lozano, J.A.Autoridad BCAM (2021)
    Recent advances in technology have brought major breakthroughs in data collection, enabling a large amount of data to be gathered over time and thus generating time series. Mining this data has become an important task for ...
  • Water leak detection using self-supervised time series classification 

    Blázquez-García, A.; Conde, A.; Mori, U.Autoridad BCAM; Lozano, J.A.Autoridad BCAM (2021)
    Leaks in water distribution networks cause a loss of water that needs to be com- pensated to ensure a continuous supply for all customers. This compensation is achieved by increasing the flow of the network, which entails ...
  • A review on distance based time series classification 

    Abanda, A.Autoridad BCAM; Mori, U.Autoridad BCAM; Lozano, J.A.Autoridad BCAM (2018-11-01)
    Time series classification is an increasing research topic due to the vast amount of time series data that is being created over a wide variety of fields. The particularity of the data makes it a challenging task and ...

Más información