6 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.AI2025
HydroGEM: A Self Supervised Zero Shot Hybrid TCN Transformer Foundation Model for Continental Scale Streamflow Quality Control
Ijaz Ul Haq, Byung Suk Lee, Julia N. Perdrial +1
Advances in sensor networks have enabled real-time stream discharge monitoring, yet persistent sensor malfunctions limit data utility. Manual quality control by expert hydrologists…
cs.LG2023★ 1 cited
TransNAS-TSAD: Harnessing Transformers for Multi-Objective Neural Architecture Search in Time Series Anomaly Detection
Ijaz Ul Haq, Byung Suk Lee, Donna M. Rizzo
The surge in real-time data collection across various industries has underscored the need for advanced anomaly detection in both univariate and multivariate time series data. This…
cs.LG2023★ 6 cited
An Automated Machine Learning Approach for Detecting Anomalous Peak Patterns in Time Series Data from a Research Watershed in the Northeastern United States Critical Zone
Ijaz Ul Haq, Byung Suk Lee, Donna M. Rizzo +1
This paper presents an automated machine learning framework designed to assist hydrologists in detecting anomalies in time series data generated by sensors in a research watershed…