16 citations · 25 across the 9 of their papers we have counts for
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cs.LG2020★ 7 cited
A clustering approach to time series forecasting using neural networks: A comparative study on distance-based vs. feature-based clustering methods
Manie Tadayon, Yumi Iwashita
Time series forecasting has gained lots of attention recently; this is because many real-world phenomena can be modeled as time series. The massive volume of data and recent advanc…
cs.LG2019★ 2 cited
Single Sample Feature Importance: An Interpretable Algorithm for Low-Level Feature Analysis
Joseph Gatto, Ravi Lanka, Yumi Iwashita +1
Have you ever wondered how your feature space is impacting the prediction of a specific sample in your dataset? In this paper, we introduce Single Sample Feature Importance (SSFI),…