282 citations
- Vanderbilt UniversityUS11 papers
- Rutgers, The State University of New JerseyUS3 papers
- Centre Inria de l'Université Grenoble AlpesFR2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Department of Mathematical SciencesRU2 papers
- GIPSA-LabFR2 papers
- Institut polytechnique de GrenobleFR2 papers
- Rutgers Sexual and Reproductive Health and RightsNL2 papers
- Université Grenoble AlpesFR2 papers
- Virginia TechUS2 papers
- Arizona State UniversityUS1 paper
- Delft University of TechnologyNL1 paper
Showing cs.LGShow all
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cs.LG2026
Calibrating Adaptive Smoothing Methods for Freeway Traffic Reconstruction
Junyi Ji, Derek Gloudemans, Gergely Zachár +3
The adaptive smoothing method (ASM) is a widely used approach for traffic state reconstruction. This article presents a Python implementation of ASM, featuring end-to-end calibrati…
cs.LG2021★ 9 cited
Assurance Monitoring of Learning Enabled Cyber-Physical Systems Using Inductive Conformal Prediction based on Distance Learning
Dimitrios Boursinos, Xenofon Koutsoukos
Machine learning components such as deep neural networks are used extensively in Cyber-Physical Systems (CPS). However, such components may introduce new types of hazards that can…
cs.LG2018★ 3 cited
DxNAT - Deep Neural Networks for Explaining Non-Recurring Traffic Congestion
Fangzhou sun, Abhishek Dubey, Jules White
Non-recurring traffic congestion is caused by temporary disruptions, such as accidents, sports games, adverse weather, etc. We use data related to real-time traffic speed, jam fact…