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Found 4 papers, 2 papers with code
A Concurrent CNN-RNN Approach for Multi-Step Wind Power Forecasting
One approach to remedy this challenge is to utilize weather information from multiple points across a geographical grid to obtain a holistic view of the wind patterns, along with temporal information from the previous power outputs of the wind farms.
nTreeClus: a Tree-based Sequence Encoder for Clustering Categorical Series
This paper proposes a new Model-based approach for clustering sequence data, namely nTreeClus.
Explainable boosted linear regression for time series forecasting
We observe that EBLR substantially improves the base model performance through extracted features, and provide a comparable performance to other well established approaches.
Learning Maximally Predictive Prototypes in Multiple Instance Learning
In this work, we propose a simple model that provides permutation invariant maximally predictive prototype generator from a given dataset, which leads to interpretability of the solution and concrete insights to the nature and the solution of a problem.
