Saima Absar Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
University of Arkansas at Fayetteville
unknown
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Saima Absar's research focuses on causal discovery from time series data, investigating methods for identifying time-invariant causal structures. Her work has explored hybrid approaches and the application of neural networks to this domain. Absar has also conducted a pilot study on the utilization of activity trackers to identify critically ill subjects. Her publication record includes work on neural time-invariant causal discovery, discovering time-invariant causal structure from temporal data, and a hybrid method for time series causal discovery. She has also published on the utilization of activity trackers for identifying critically ill subjects.
Metrics
- h-index: 2
- Publications: 4
- Citations: 10
Selected Publications
- Time Series Causal Discovery Using a Hybrid Method (2024) DOI
- Neural Time-Invariant Causal Discovery from Time Series Data (2023) DOI
- 293: UTILIZATION OF ACTIVITY TRACKERS TO IDENTIFY CRITICALLY ILL SUBJECTS: A PILOT STUDY (2022) DOI
- Discovering Time-invariant Causal Structure from Temporal Data (2021) DOI
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