1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2025
MoTime: A Dataset Suite for Multimodal Time Series Forecasting
Xin Zhou, Weiqing Wang, Francisco J. Baldán +2
While multimodal data sources are increasingly available from real-world forecasting, most existing research remains on unimodal time series. In this work, we present MoTime, a sui…
cs.LG2020
Multivariable times series classification through an interpretable representation
Francisco J. Baldán, José M. Benítez
Multivariate time series classification is a task with increasing importance due to the proliferation of new problems in various fields (economy, health, energy, transport, crops,…
cs.LG2020★ 1 cited
Complexity Measures and Features for Times Series classification
Francisco J. Baldán, José M. Benítez
Classification of time series is a growing problem in different disciplines due to the progressive digitalization of the world. Currently, the state-of-the-art in time series class…