As an interdisciplinary international conference this conference welcomes ideas outside of the box, interdisciplinary collaborations as well as new topics for research which may be outside of mainstream.
Conference Tracks
(It will of course welcome papers on but by no means restricted to in existing disciplines, e.g.)
Future Machine Learning
- Explainable Artificial Intelligence
- Quantum Computing
- Big Data Modeling
- No-Code Development Environments
- Reinforcement Learning
Machine Learning in Engineering Applications
- Construction Engineering
- Water Engineering
Computer Vision and Graphics
- Biometrics
- Aqua Farming Technologies
- Low- Level Vision and Image Processing
- Motion and Tracking Technologies
Bioinformatics and Biomedical Applications
- Bioinformatics
- Video Analysis and Event Recognition
- Signal Processing
- Support Vector Machines (SVM)
- Bayesian Belief Networks
Data Classification and Regression
- Denoising and Functional Recovery
- Interpretation and Approximation
- Spectral and Area Based Methods
- Data and Image Compression
Cyber Security and Privacy for Big Data
- Cyber-attacks
- Cyber Security
Machine Learning in Social Media and Social Network
- Classification of Diseases and Genomic Sequencing
- Social Network Analysis
Machine Learning in Internet of Things (IoT)
- Artificial Intelligence Techniques in IoT
Advancements of Machine Learning
- Improved Internet Search
- Chatbots and Conversational AI (e.g., ChatGPT)
- Applications in Transportation
- Applications in Music, Art and Leisure
Pattern Recognition
- Fuzzy Logic, Learning Theory
- Reasoning with incomplete data
- Set Theory and Probabilistic Approaches Affective Computing
- Statistical Methods in Motion Tracking
Robotics and Automation
- Robotics Application
- Testing and Performance Evaluation
Data Science and Big Data
- Cloud Computing and High Performance Computing
- Scalable Computing and Computations on GPU
- Information Retrieval
Knowledge Discovery, Integration and Transformation
- Social Epidemiology, Algorithms in Neuroscience
- Neuro-psychoanalysis
Machine Learning in Finance and Data Mining
- Financial Engineering & Economics Applications
- Portfolio Optimization and Asset Allocation
- Algorithmic and Quantitative Trading
- Financial Data Analysis