Call for Papers
We invite submission of papers focusing on all aspects of computing and data science ranging from theoretical foundations to novel models and algorithms. Focusing on challenges and applications in the fields of finance, natural science, social science, medicine, and engineering. The topics of interest include but are not limited to:
Computing
Computer Modeling
Parallel Computing
Quantum Computing
High Performance Computing
Distributed and parallel systems
Cognitive Computing
Cloud Computing
Distributed Computing
Grid Computing
Embedded Computing
Scientific Computing
Scalable Computing
Human-centred Computing
Mobile computing
Simulation
Computational Optimization
Machine Learning
Unsupervised Learning
Meaningful Compression
Computational Theories of Learning
Big Data Visualization
Structure Discovery
Feature Elicitation
Recommender Systems
Targetted Marketing
Multitasking and Transfer Learning
Customer Segmentation
Deep learning
Supervised Learning
Image Classification
Identity Fraud Detection
Customer Retention
Diagnositics
Population Growth Prediction
Advertising Popularity Prediction
Weather Forecasting
Market Forecasting
Estimating Life Expectancy
Intelligent Search
Data Access
Statistical Learning
Reinforcement Learning
Real-time Decisions
Robot Navigation
Game AI
Skill Acquisition
Learning Tasks
Data Mining
Intelligent Systems
Complex Systems
Neural Networks and applications
Computer Science
Artificial Intelligence
Software Engineering
Information Technology
Robotics
Image Processing
Computer Vision
Information Systems
Network Security
Pattern Recognition
Computer Graphics
Computer Engineering
Wireless Networks
Data Science
Data Mining
Big Data
Databases
Data Management
Data Analytics
Machine Learning
Natural Language Processing
Business Data
Social Network Analysis
Time Series Analysis
Forecasting