Call for Content

** The call for content is closed and papers have been reviewed and accepted or rejected. **

We request either full papers (up to 10 pages, 6 to 8 pages are recommended) or extended abstracts (2-4 pages) be submitted by October 21, 2018. Accepted papers and abstracts will be presented as oral presentations. Full papers will be included in the IEEE BigData 2018 conference proceedings for workshops.

A Best Paper Award will be presented during the workshop.

Topics include (but are not limited to):

• Automation and optimization
• Hyperparameter autotuning of machine learning algorithms
• Internet of things (IoT) and automation
• Automation bias and misuse
• Automated methods:

· in machine learning, data mining, predictive analytics, and deep learning

· in knowledge discovery in databases

· in autonomous vehicles

· in machine learning pipelines and process flows of production systems

· in big data applications

· for monitoring and updating models

· to detect fake news

· for streaming data

· for interpretable machine learning

· for large-scale modeling

· for data preparation and feature engineering

· for variable selection and model selection

Full papers or abstracts should be submitted directly to the conference submission site.

The conference adopts single-blind review policy. Please feel free to leave the authors name in your submission.

For full-length paper (up to 10 page IEEE 2-column format) and extended abstract, you can use the IEEE Computer Society Proceedings Manuscript Formatting Guidelines (https://www.ieee.org/conferences/publishing/templates.html)

For any questions, please email the organizing committee at ai.ml.automation@gmail.com