Track Information


Artificial Intelligence

This Track aims at bringing together researchers and practitioners working on artificial intelligence. We welcome research articles, conceptual articles, case studies, and position papers that tackle interesting aspects of AI with a diverse range of theoretical lenses and methodologies. The conference invites manuscripts including, but not limited to, the following topics:
• Mathematical frameworks currently used in AI (ANN architectures, tree-based methods, polynomial regression models)
• Handling real-world data with unknown, skewed, distributions
• Hyperparameter tuning algorithms
• Clustering and multidimensional scaling
• Machine Learning for Predictive Modelling with Tabular Datasets
• Computer Vision and understanding
• Text Analysis and Models for Natual Language Processing
• Theoretical foundations and Computational Complexity of AI algorithms
• Industrial and Research Applications of Machine Learning
• AI and IoT

 

Track Chairs
Nikolaos Bakas, National Technical University of Athens, Greece (email at: nibas@mail.ntua.gr)