We invite submissions on the topics of:

  • Model selection, hyper-parameter optimization, and model search
  • Neural architecture search
  • Internet of things (IoT) and automation
  • Automation bias and misuse
  • Meta-learning and transfer learning
  • Bayesian optimization for AutoML
  • Evolutionary algorithms for AutoML
  • Multi-fidelity optimization
  • Predictive models of performance
  • Automatic feature extraction / construction
  • Automatic data cleaning
  • Automatic feature engineering
  • Automation of semi-supervised and unsupervised machine learning
  • Robustness of AutoML systems
  • Human-in-the-loop approaches for AutoML
  • Trust in AutoML
  • Learning to learn new algorithms and strategies
  • Hyperparameter agnostic algorithms
  • AutoML for neuro-fuzzy systems



We welcome the submission of full papers (up to 15 pages, excluding references) and short papers (up to 7 pages, excluding references). To submit, please follow the ECAI formatting guidelines and LaTeX template.


All submitted papers must adhere to the following guidelines:
  • Language: Papers should be written in English
  • Author Information: Include author names, affiliations, and email addresses
  • File Format: Submissions must be in PDF format, compatible with viewing on any platform
  • Deadline: May 31, 2024
  • Submission Platform: Authors should submit thourgh Chairing Tool platorm: Submission link