conference-paper

Enhancing Precipitation Nowcasting in West Africa through IR-Integrated Deep Generative Models
Precipitation in West Africa is a highly complex process, characterized by a wide range of temporal and spatial variability, and …
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Advancing Flash Flood Forecasting Capabilities in West Africa with Machine Learning and Satellite Observations
Climate change is modifying the occurrence frequency and intensity of hydroclimatic extremes around the globe. This has a tremendous …
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Regional Seismic Event Discrimination using Machine Learning
Distinguishing between natural earthquakes and underground nuclear testing at regional epicentral distances is a complex geophysical …
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Anytime User Engagement Prediction in Information Cascades for Arbitrary Observation Periods
Predicting user engagement – whether a user will engage in a given information cascade – is an important problem in the …
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Flood Inundation Meets Image Super-Resolution
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Anytime Information Cascade Popularity Prediction via Self-Exciting Processes
Based on newly derived expressions of conditional mean counts of marked Hawkes point processes, we introduce Cascade Anytime Size Prediction via self-Exciting Regression (CASPER) for anytime information cascade popularity prediction.
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ACE: An ATAK Plugin for Enhanced Acoustic Situational Awareness at the Edge
Superior battlefield Situational Awareness (SA) requires timely and coherent integration of various sensor modalities to provide the …
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Deep Agent: Studying the Dynamics of Information Spread and Evolution in Social Networks
This work delineates the main concepts and models utilized in our social media modeling effort under DARPA’s SocialSim program.
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Environmental Sound Classification with Tiny Transformers in Noisy Edge Environments
In this work we showcase a tiny BERT-based transformer, hardened via noise augmentation for state-of-the-art environmental sound classification on edge computing devices.
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Influence Dynamics Among Narratives
In this work we employ multi-variate Hawkes processes and introduce process influence measures to analyze the interactions of competing and coevolving Twitter narratives surrounding the 2019 Venezuelan Presidential Crisis.
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