IoT Data Analytics in Dynamic Environments: From An Automated Machine
Learning Perspective

IoT Data Analytics in Dynamic Environments: From An Automated Machine Learning Perspective

16 September 2022

Li Yang

Papers citing "IoT Data Analytics in Dynamic Environments: From An Automated Machine Learning Perspective"

7 / 7 papers shown

Title
Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis Li Yang Mirna El Rajab Abdallah Shami Sami Muhaidat 85 6 0 28 Feb 2025
A Plug-in Tiny AI Module for Intelligent and Selective Sensor Data Transmission Wenjun Huang Arghavan Rezvani Hanning Chen Yang Ni Sanggeon Yun Sungheon Jeong Mohsen Imani 29 7 0 03 Feb 2024
A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams Li Yang Abdallah Shami 61 103 0 21 Apr 2021
Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows Doris Xin Eva Yiwei Wu D. Lee Niloufar Salehi Aditya G. Parameswaran 56 91 0 13 Jan 2021
Machine Learning Towards Intelligent Systems: Applications, Challenges, and Opportunities MohammadNoor Injadat Abdallah Moubayed Ali Bou Nassif Abdallah Shami 57 99 0 11 Jan 2021
A fast algorithm for computing distance correlation A. Chaudhuri Wenhao Hu 47 65 0 26 Oct 2018
SMOTE: Synthetic Minority Over-sampling Technique Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 163 25,273 0 09 Jun 2011