PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction Modelsby Neelesh Gupta, Pengmiao Zhang, Rajgopal…
IT Intrusion Detection Using Statistical Learning and Testbed Measurementsby Xiaoxuan Wang, Rolf StadlerFirst submitted to…
Induced Model Matching: How Restricted Models Can Help Larger Onesby Usama Muneeb, Mesrob I. OhannessianFirst…
Ransomware detection using stacked autoencoder for feature selectionby Mike Nkongolo, Mahmut TokmakFirst submitted to arxiv…
Machine Learning based Prediction of Ditching Loadsby Henning Schwarz, Micha Überrück, Jens-Peter M. Zemke, Thomas…
Towards Robust Car Following Dynamics Modeling via Blackbox Models: Methodology, Analysis, and Recommendationsby Muhammad Bilal…
Explainable Global Wildfire Prediction Models using Graph Neural Networksby Dayou Chen, Sibo Cheng, Jinwei Hu,…
A hybrid IndRNNLSTM approach for real-time anomaly detection in software-defined networksby Sajjad Salem, Salman AsoudehFirst…
Mesoscale Traffic Forecasting for Real-Time Bottleneck and Shockwave Predictionby Raphael Chekroun, Han Wang, Jonathan Lee,…
Designing deep neural networks for driver intention recognitionby Koen Vellenga, H. Joe Steinhauer, Alexander Karlsson,…