24 citations · 62 across the 20 of their papers we have counts for
4 papers · 1 filter
Event Detection in Noisy Streaming Data with Combination of Corroborative and Probabilistic Sources
Abhijit Suprem, Calton Pu
Global physical event detection has traditionally relied on dense coverage of physical sensors around the world; while this is an expensive undertaking, there have not been alterna…
Concept Drift Adaptive Physical Event Detection for Social Media Streams
Abhijit Suprem, Aibek Musaev, Calton Pu
Event detection has long been the domain of physical sensors operating in a static dataset assumption. The prevalence of social media and web access has led to the emergence of soc…
Concept Drift Detection and Adaptation with Weak Supervision on Streaming Unlabeled Data
Abhijit Suprem
Concept drift in learning and classification occurs when the statistical properties of either the data features or target change over time; evidence of drift has appeared in search…
ASSED -- A Framework for Identifying Physical Events through Adaptive Social Sensor Data Filtering
Abhijit Suprem, Calton Pu
Physical event detection has long been the domain of static event processors operating on numeric sensor data. This works well for large scale strong-signal events such as hurrican…