Publicaciones en las que colabora con USUE MORI CARRASCAL (18)

2023

  1. Early prediction of Ibex 35 movements

    Journal of Forecasting, Vol. 42, Núm. 5, pp. 1150-1166

  2. Minimum Recall-Based Loss Function for Imbalanced Time Series Classification

    IEEE Transactions on Knowledge and Data Engineering, Vol. 35, Núm. 10, pp. 10024-10034

  3. Selective Imputation for Multivariate Time Series Datasets with Missing Values

    IEEE Transactions on Knowledge and Data Engineering, Vol. 35, Núm. 9, pp. 9490-9501

2021

  1. A Review on Outlier/Anomaly Detection in Time Series Data

    ACM Computing Surveys, Vol. 54, Núm. 3

  2. Water leak detection using self-supervised time series classification

    Information Sciences, Vol. 574, pp. 528-541

2019

  1. A review on distance based time series classification

    Data Mining and Knowledge Discovery, Vol. 33, Núm. 2, pp. 378-412

  2. Denborazko serieen sailkapen goiztiarra helburu anitzeko optimizazio problema gisa aztertua

    Ekaia: Euskal Herriko Unibertsitateko zientzi eta teknologi aldizkaria, Núm. 36, pp. 291-310

  3. Early classification of time series using multi-objective optimization techniques

    Information Sciences, Vol. 492, pp. 204-218

2018

  1. Early Classification of Time Series by Simultaneously Optimizing the Accuracy and Earliness

    IEEE Transactions on Neural Networks and Learning Systems, Vol. 29, Núm. 10, pp. 4569-4578

  2. PhD Thesis proposal: A study on the discriminatory capacity of the temporal information on supervised time series classification problems

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

  3. ¿Requiere la clasiicación de series temporales métodos especíicos?

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

2017

  1. Reliable early classification of time series based on discriminating the classes over time

    Data Mining and Knowledge Discovery, Vol. 31, Núm. 1, pp. 233-263

2016

  1. Distance measures for time series in r: The TSdist package

    R Journal, Vol. 8, Núm. 2, pp. 455-463

  2. Similarity Measure Selection for Clustering Time Series Databases

    IEEE Transactions on Knowledge and Data Engineering

2015

  1. A review of travel time estimation and forecasting for Advanced Traveller Information Systems

    Transportmetrica A: Transport Science, Vol. 11, Núm. 2, pp. 119-157