1 citations · 2 across the 7 of their papers we have counts for
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WinTSR: A Windowed Temporal Saliency Rescaling Method for Interpreting Time Series Deep Learning Models
Md. Khairul Islam, Judy Fox
Interpreting complex time series forecasting models is challenging due to the temporal dependencies between time steps and the dynamic relevance of input features over time. Existi…
Large Language Models for Financial Aid in Financial Time-series Forecasting
Md Khairul Islam, Ayush Karmacharya, Timothy Sue +1
Considering the difficulty of financial time series forecasting in financial aid, much of the current research focuses on leveraging big data analytics in financial services. One m…
Interpreting Time Series Transformer Models and Sensitivity Analysis of Population Age Groups to COVID-19 Infections
Md Khairul Islam, Tyler Valentine, Timothy Joowon Sue +5
Interpreting deep learning time series models is crucial in understanding the model's behavior and learning patterns from raw data for real-time decision-making. However, the compl…