activity
20102023
most citedComparison of Support Vector Machine and Back Propagation Neural Network in Evaluating the Enterprise Financial Distress

74 citations · 192 across the 17 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.LG2020

Distributed Fine-Grained Traffic Speed Prediction for Large-Scale Transportation Networks based on Automatic LSTM Customization and Sharing

Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran

Short-term traffic speed prediction has been an important research topic in the past decade, and many approaches have been introduced. However, providing fine-grained, accurate, an…

cs.LG2020★ 36 cited

ReRe: A Lightweight Real-time Ready-to-Go Anomaly Detection Approach for Time Series

Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran

Anomaly detection is an active research topic in many different fields such as intrusion detection, network monitoring, system health monitoring, IoT healthcare, etc. However, many…

cs.LG2020★ 1 cited

DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction

Ming-Chang Lee, Jia-Chun Lin

Over the past decade, several approaches have been introduced for short-term traffic prediction. However, providing fine-grained traffic prediction for large-scale transportation n…

cs.CR2020★ 6 cited

PDS: Deduce Elder Privacy from Smart Homes

Ming-Chang Lee, Jia-Chun Lin, Olaf Owe

With the development of IoT technologies in the past few years, a wide range of smart devices are deployed in a variety of environments aiming to improve the quality of human life…

cs.LG2020★ 1 cited

RePAD: Real-time Proactive Anomaly Detection for Time Series

Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran

During the past decade, many anomaly detection approaches have been introduced in different fields such as network monitoring, fraud detection, and intrusion detection. However, th…