19 citations · 31 across the 6 of their papers we have counts for
8 papers
Large-Scale Analysis of Persuasive Content on Moltbook
Julia Jose, Meghna Manoj Nair, Rachel Greenstadt
We present an NLP-based study of political propaganda on Moltbook, a Reddit-style platform for AI agents. To enable large-scale analysis, we develop LLM-based classifiers to detect…
Estimating Direct and Indirect Causal Effects of Spatiotemporal Interventions in Presence of Spatial Interference
Sahara Ali, Omar Faruque, Jianwu Wang
Spatial interference (SI) occurs when the treatment at one location affects the outcomes at other locations. Accounting for spatial interference in spatiotemporal settings poses fu…
Causality for Earth Science -- A Review on Time-series and Spatiotemporal Causality Methods
Sahara Ali, Uzma Hasan, Xingyan Li +5
This survey paper covers the breadth and depth of time-series and spatiotemporal causality methods, and their applications in Earth Science. More specifically, the paper presents a…
TS-CausalNN: Learning Temporal Causal Relations from Non-linear Non-stationary Time Series Data
Omar Faruque, Sahara Ali, Xue Zheng +1
The growing availability and importance of time series data across various domains, including environmental science, epidemiology, and economics, has led to an increasing need for…
Integrating Fourier Transform and Residual Learning for Arctic Sea Ice Forecasting
Louis Lapp, Sahara Ali, Jianwu Wang
Arctic sea ice plays integral roles in both polar and global environmental systems, notably ecosystems, communities, and economies. As sea ice continues to decline due to climate c…
MT-IceNet -- A Spatial and Multi-Temporal Deep Learning Model for Arctic Sea Ice Forecasting
Sahara Ali, Jianwu Wang
Arctic amplification has altered the climate patterns both regionally and globally, resulting in more frequent and more intense extreme weather events in the past few decades. The…
Quantifying Causes of Arctic Amplification via Deep Learning based Time-series Causal Inference
Sahara Ali, Omar Faruque, Yiyi Huang +4
The warming of the Arctic, also known as Arctic amplification, is led by several atmospheric and oceanic drivers. However, the details of its underlying thermodynamic causes are st…
Sea Ice Forecasting using Attention-based Ensemble LSTM
Sahara Ali, Yiyi Huang, Xin Huang +1
Accurately forecasting Arctic sea ice from subseasonal to seasonal scales has been a major scientific effort with fundamental challenges at play. In addition to physics-based earth…