91 citations · 116 across the 6 of their papers we have counts for
6 papers
Discovering Car-following Dynamics from Trajectory Data through Deep Learning
Ohay Angah, James Enouen, Xuegang +2
This study aims to discover the governing mathematical expressions of car-following dynamics from trajectory data directly using deep learning techniques. We propose an expression…
Personalized Interpretable Classification
Zengyou He, Pengju Li, Yifan Tang +3
How to interpret a data mining model has received much attention recently, because people may distrust a black-box predictive model if they do not understand how the model works. H…
Calibration Strategy of the JUNO Experiment
JUNO collaboration, Angel Abusleme, Thomas Adam +588
We present the calibration strategy for the 20 kton liquid scintillator central detector of the Jiangmen Underground Neutrino Observatory (JUNO). By utilizing a comprehensive multi…
Feasibility and physics potential of detecting B solar neutrinos at JUNO
JUNO collaboration, Angel Abusleme, Thomas Adam +589
The Jiangmen Underground Neutrino Observatory~(JUNO) features a 20~kt multi-purpose underground liquid scintillator sphere as its main detector. Some of JUNO's features make it an…
GumDrop at the DISRPT2019 Shared Task: A Model Stacking Approach to Discourse Unit Segmentation and Connective Detection
Yue Yu, Yilun Zhu, Yang Liu +4
In this paper we present GumDrop, Georgetown University's entry at the DISRPT 2019 Shared Task on automatic discourse unit segmentation and connective detection. Our approach relie…
GLAD: Group Anomaly Detection in Social Media Analysis- Extended Abstract
Qi, Yu, Xinran He +1
Traditional anomaly detection on social media mostly focuses on individual point anomalies while anomalous phenomena usually occur in groups. Therefore it is valuable to study the…