Adaptive Computational Intelligence and Machine Learning

SCOPE

The recent developments in computational intelligence and machine learning techniques are the main drivers that have solved many real-world problems. However, dominant machine techniques are designed for stationary environments, where they are trained on specific data and then deployed to apply on test data. They fail in situations where data evolves over time making them unsuitable where there is a need to retrain them frequently. Hence, there is a need to design the learning models in such a way that they can adapt and learn incrementally.

The purpose of this special session is to provide a forum for the discussion of recent research trends and applications of "Adaptive Computational Intelligence and Machine Learning" and to offer an opportunity for researchers and practitioners to identify and discuss new promising research directions in this challenging scenario.

PAPER SUBMISSIONS

• Submitted papers should not exceed 8 pages plus at most 2 pages overlength.

• Submissions of full papers are accepted online through the EasyChair system.

• Please check the main conference website for more details.

ORGANIZERS

• Pasquale Ardimento, Department of Informatics, University of Bari Aldo Moro, Bari (Italy), pasquale.ardimento@uniba.it

• Marta Cimitile, Unitelma Sapienza University Rome (Italy), marta.cimitile@unitelmasapienza.it

• Akhtar Jamil, National University of Computer and Emerging Sciences, Islamabad (Pakistan), akhtar.jamil@nu.edu.pk