Call for Content

We request extended abstracts (2-4 pages) or full-length papers (up to 10 pages) be submitted by June 9, 2022. Accepted abstracts/papers will be presented as oral and/or poster presentations.

Topics include (but are not limited to):

• Hyperparameter autotuning of machine learning algorithms

• Neural Architecture Search (NAS)

• Internet of things (IoT) and automation

• Automation bias and misuse

• Automated methods:

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

· in autonomous vehicles

· in machine learning pipelines and process flows of production systems

· in big data applications

· to detect fake news

· for adversarial robustness

· for monitoring and updating models

· for streaming data

· for interpretable machine learning

· for large-scale modeling

· for data preparation and feature engineering

· for variable selection and model selection

Submission Instructions

Extended abstracts (2-4 pages) are required to be considered for this workshop. Full-length papers (up to 10 pages) will also be considered but are not required. Use of the ACM Proceedings Format (https://www.acm.org/publications/proceedings-template) is recommended.

All submissions will be peer-reviewed. If accepted, at least one author should attend the workshop to present their work. The papers should be in PDF format and submitted via EasyChair: https://easychair.org/conferences/?conf=automl2022

Important Dates

June 9, 2022: Due date for paper/abstract submissions

June 27, 2022: Notification of acceptance to authors

August 14-18, 2022: Workshop

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