ICBDACI 2019 invites a proposal to organize a special session. Below is the list of special session you may wish to choose or if you have something new to propose,

please send email to: chair@icbdaci-conference.org.

Computational Intelligence in Feature Analysis, Selection, and Learning in Image and Pattern Recognition

Neural networks for feature analysis
Fuzzy systems for feature analysis
Hybridization of evolutionary computation and neural networks, and fuzzy systems for feature selection and construction
Hybridization of evolutionary computation and machine learning, information theory, statistics, mathematical modelling, etc., for feature analysis
Feature analysis in classification, clustering, regression, image analysis, signal processing, and other tasks
Feature ranking/weighting
Feature selection
Feature construction/extraction
Multi-objective feature selection, construction or extraction
Feature analysis on high-dimensional and large-scale data
Analysis on computational intelligence for feature selection and construction/extraction algorithms
Evolutionary computation for feature analysis

Intelligence in Vehicles and Transportation Systems

Automated driving and driverless car
Learning and adaptive Control
Object recognitions such as pedestrian detection, traffic sign detection and recognition
Route guidance systems
Trip modeling and driver speed prediction
Vehicle energy management and optimization in hybrid vehicles
Advanced transportation information and communication systems
Cloud computing and big data in transportation and vehicle systems
Multimodal intelligent transport systems and services
Personalized driver and traveler support systems
Simulation and forecasting models
Connected vehicles of the future.
Air, Road, and Rail Traffic Management
Advanced Transportation Management
Collision detection and avoidance
vehicle communications and connectivity
Driver state detection and monitoring
Driver assistance and automation systems
Vehicle fault diagnostics and health monitoring

Computational Intelligence for Financial Engineering & Economics

Big Data Finance & Economics
Intelligent Trading Agents
Trading Room Simulation
Time Series Analysis
Financial Data Mining
Rules and XBRL for Financial Engineering Applications
Semantic Web and Linked Data for Computer & Engineering Applications & Models
Risk Management
Pricing of Structured Securities
Asset Allocation
Trading Systems
Forecasting
Risk Arbitrage
Behavioral Finance
Exotic Options
Portfolio Optimization
Front/Back Office Operations
Agent-based Computational Economics