Search Results for author:
Found 7 papers, 2 papers with code
Hybrid Forecasting of Geopolitical Events
To improve crowdsourced forecasting accuracy, we developed SAGE, a hybrid forecasting system that combines human and machine generated forecasts.
TimeGraphs: Graph-based Temporal Reasoning
The results demonstrate both robustness and efficiency of TimeGraphs on a range of temporal reasoning tasks.
F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams
Edge streams are commonly used to capture interactions in dynamic networks, such as email, social, or computer networks.
MASA: Motif-Aware State Assignment in Noisy Time Series Data
Such data can be interpreted as a sequence of states, where each state represents a prototype of system behavior.
Drive2Vec: Multiscale State-Space Embedding of Vehicular Sensor Data
With automobiles becoming increasingly reliant on sensors to perform various driving tasks, it is important to encode the relevant CAN bus sensor data in a way that captures the general state of the vehicle in a compact form.
Prioritizing network communities
Community detection identifies candidate modules as hypotheses, which then need to be validated through experiments, such as mutagenesis in a biological laboratory.
Driver Identification Using Automobile Sensor Data from a Single Turn
In this paper, we propose a method to predict, from sensor data collected at a single turn, the identity of a driver out of a given set of individuals.
