International Conference on Machine Intelligence Theory and Applications
14 - 23 July, 2024 Melbourne & Brisbane, Australia
Call For Papers
The Eleventh International Conference on Machine Intelligence Theory and Applications (MiTA) will be held in Melbourne and Brisbane, Australia, during 14-23 July, 2024. MiTA2024 aims to provide a high level international forum for innovative academics and industrial experts in the related fields of machine intelligence theory and applications to present their recent research advances. The conference will be featured by plenary speeches given by world-renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics.
Topic Area
We invite original contributions on all topics related to Machine Intelligence Theory and Applications, including, but not limited to:
- Artificial intelligence
- Algorithmic game theory and mechanism design
- Machine learning theory
- Machine learning algorithms
- Neural networks
- Connectionist theory
- Neurodynamic analysis
- Reinforcement learning and planning
- Autoencoders based on neural networks
- Convolutional neural network model
- Recurrent neural network model
- Generative models
- Cryptographic applications using artificial neural networks
- Database theory
- Computational complexity
- Fuzzy systems
- Fuzzy sets
- The calculus of fuzzy numbers
- Fuzzy clustering
- Fuzzy classification
- Fuzzy data analysis
- Fuzzy decision-making
- Fuzzy rule-based modeling
- Computer vision
- Multi-agent systems
- Natural language processing
- Information technology
- Image processing and multimedia technology
- Software engineering
- Mobile computing
- Distributed systems
- Recommendation system
- Evolutionary computation
- Theory of evolutionary computation
- Evolution of complex systems
- Hybrid evolutionary approaches
- GPU implementation of evolutionary computation and swarm intelligence algorithms
- Evolutionary transfer optimization
- Evolutionary multi/many-objective optimization
- Evolutionary constrained optimization
- Data-driven evolutionary computation
- Distributed evolutionary computation
- Large-scale optimization
- Evolutionary optimization in multi-agent systems
- Evolutionary optimization with data privacy
- Real-world applications of evolutionary computation
- Data structures design and analysis
- Parameterized complexity and exact algorithms
- Streaming, sublinear and near linear time algorithms
- Parallel and distributed algorithms
- Algorithm design techniques
- Formal languages and automata theory
- Cryptography
- Theory of security
- Network security
