Topics
Learning and Information Processing
Data Mining, Retrieval and Management
Bio-/Neuro-informatics and Bio-Inspired Models
Agents and Hybrid Systems
Financial Engineering
Session topics would include ensemble learning methods, kernel methods, feature extraction, classification, data mining, agents, evolutionary computation, knowledge and rule-based systems, gene expression, protein data, image analysis, finance, fuzzy sets, time series, spam detection and rule engineering.
Learning and Information Processing
- Machine Learning
- Neural Networks
- Emergent Systems
- Probabilistic Learning
- Clustering and Classification
- Feature Selection and Extraction
- Information Fusion
- Evolutionary Computation
- Fuzzy Logic
- Applications
Data Mining, Retrieval and Management
- Rule-based Systems
- Content-based Retrieval Systems
- Text and Web Mining
- Multivariate Data Visualisation
- Internet and Multimedia Databases
- Knowledge Discovery and Retrieval
- Data Warehouse and E-organisations
- Image/Video Analysis and Retrieval
- Speech and Signal Processing
- Medical Diagnosis and Databases
Bio/Neuro-informatics and Bio-Inspired Models
- Protein Structural Prediction
- Gene Expression Data Analysis
- Metabolomics and Pathway Analysis
- Bioinformatics Tools and Intelligent Decision Making Systems
- Molecular Data Management
- Novel Bioinformatics Algorithms
- Neuroinformatics
- Bio-inspired Computing Models
- Cognitive Learning and Memory
- Systems Biology
- Computational Neuroscience
Agents and Hybrid Systems
- Multi-agents Systems
- Autonomous Agents
- Agent Architectures and Protocols
- Collaborative and Collective learning
- Self-Organising Systems
- Reconfiguration Systems
- Hybrid Systems and Applications
- Fuzzy Neural Systems and Applications
- Swarm Intelligence and Systems
Financial Engineering
- Electronic Commerce
- Portfolio Management
- Risk Analysis and Management
- Fraud Detection
- Modelling and Forecasting
- Volatility and Trading Strategies
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