TRACK 1: Machine Learning Theory and Applications
Track Chair: Prof. Huiyu Zhou, University of Leicester, UK
TRACK 2: Intelligent Computing and Algorithms
Track Chair: Prof. Cyrus F Nourani, Akdmkrd-DAI-TU Berlin, Germany
Prof. Paulo Batista, Cultures and Societies of the University of Évora, Portugal
Authors are invited to submit full papers describing original research work in areas including, but not limited to:
TRACK 1: Machine Learning Theory and Applications | TRACK 2: Intelligent Computing and Algorithms |
Recommender Systems Deep learning Supervised Learning Reinforcement Learning Neural Networks and applications Computational Theories of Learning Intelligent Search Statistical Learning Real-time Decisions Big Data Visualization Image Classification Robot Navigation Data Mining |
Computer Modeling Parallel Computing Quantum Computing High Performance Computing Distributed and parallel systems Cognitive Computing Cloud Computing Distributed Computing Grid Computing Embedded Computing Scalable Computing Human-centred Computing Mobile computing |