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cs.LG2024
Spatio-temporal Causal Learning for Streamflow Forecasting
Shu Wan, Reepal Shah, Qi Deng +3
Streamflow plays an essential role in the sustainable planning and management of national water resources. Traditional hydrologic modeling approaches simulate streamflow by establi…
cs.LG2024
Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning
Ahmet Kapkiç, Pratanu Mandal, Shu Wan +5
While witnessing the exceptional success of machine learning (ML) technologies in many applications, users are starting to notice a critical shortcoming of ML: correlation is a poo…
cs.IR2024
Prioritizing Potential Wetland Areas via Region-to-Region Knowledge Transfer and Adaptive Propagation
Yoonhyuk Choi, Reepal Shah, John Sabo +2
Wetlands are important to communities, offering benefits ranging from water purification, and flood protection to recreation and tourism. Therefore, identifying and prioritizing po…