- Machine learning theory
- Cognitive principles for machine and ensemble architectures and training
- Adaptive and sparsity-aware learning
- Deep learning and extreme machines
- Cognitive psychological modeling
- Machine understanding and human-machine interaction
- Cognitive dynamical systems
- Cognitive fuzzy methods and techniques
- Cognitive decision making and game theory
- Collaborative sensing
- Large-Scale Machine Learning
|
- Distributed and cooperative processing
- Cognitive communications: Modulation, networks, dynamic spectrum management and personalization.
- Cognitive radar and sonar: Detection, estimation, tracking and target identification
- Information (data, text, audio, image, video) mining
- Social networks
- Applications in social sciences, medicine, neuroimage, bioinformatics, energy and smart grids, advanced manufacturing, robotics, artificial vision, engineering systems, industrial processes, economy and finance.
|
