Muhammad Hasan Ferdous

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20232026

most citedTimeGraph: Synthetic Benchmark Datasets for Robust Time-Series Causal Discovery

4 citations · 5 across the 4 of their papers we have counts for

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2 papers · 1 filter

cs.LG2023

eCDANs: Efficient Temporal Causal Discovery from Autocorrelated and Non-stationary Data (Student Abstract)

Muhammad Hasan Ferdous, Uzma Hasan, Md Osman Gani

Conventional temporal causal discovery (CD) methods suffer from high dimensionality, fail to identify lagged causal relationships, and often ignore dynamics in relations. In this s…

cs.LG2023★ 1 cited

CDANs: Temporal Causal Discovery from Autocorrelated and Non-Stationary Time Series Data

Muhammad Hasan Ferdous, Uzma Hasan, Md Osman Gani

Time series data are found in many areas of healthcare such as medical time series, electronic health records (EHR), measurements of vitals, and wearable devices. Causal discovery,…