General Track Sessions
Papers may be submitted to one of the following General Tracks, or to an Invited Session. Only make one submission and select the track or session which best matches the topic of the paper.
The General Tracks are as follows:-
G1: Machine Learning, Artificial Neural Networks and Deep Learning
This track will cover both machine learning theoretical research and its applications. Contributions describing machine learning techniques applied to real-world problems and interdisciplinary research involving machine learning in different application fields with especial emphasis on the design of those systems, are particularly encouraged.
The topics of interest include (but are not limited to):
- computational learning theory
- cooperative learning
- distributed and parallel learning algorithms and applications
- feature extraction and classification
- hybrid learning algorithms
- inductive learning
- instance-based learning
- knowledge discovery in databases
- knowledge intensive learning
- learning through mobile data mining
- machine learning and information retrieval
- machine learning for web navigation and mining
- multi-strategy learning
- neural network learning
- online and incremental learning
- reinforcement learning
- scalability of learning algorithms
- statistical learning
- support vector machines
- text and multimedia mining through machine learning
G2: Knowledge Based and Expert Systems
Knowledge Management, Negotiation, Knowledge Acquisition, Knowledge Engineering, Ontologies Reasoning: Automated Reasoning, Reasoning strategies, Case-Based Reasoning, Common-Sense Reasoning, Computational Complexity of Reasoning, Description Logics, Diagnosis and Abductive Reasoning, Knowledge Representation, Logic Programming, Nonmonotonic Reasoning, Knowledge Preferences, Qualitative Reasoning, Reasoning with Beliefs Graphical Models, Visualisation Bayesian Networks, Causality, Decision/Utility Theory, Probabilistic Inference, Relational Probabilistic Models, Sequential Decision Making, Stochastic Optimization, Uncertainty Representations, Uncertainty in AI.
E-Learning, E-Business, E-Commerce
Web Intelligence, Intelligent Web-based Systems, Web Personalization and User Modeling
AI Web systems: Data Analytics, Multimedia and Multimodal Web Applications, Web Services: Semantic Descriptions, Planning, Matching, and Coordination, Web-Based Collaboration and Cooperation Crowdsourcing Techniques and Methodologies
Web Search and Information Retrieval, Exploiting Linked Open Data
Human Language Technologies for Web Systems, Including Text Summarization and Machine Translation
Intelligent User Interfaces for Web Systems
Knowledge Acquisition from the Web
Languages, Tools, and Methodologies for Representing, Managing, and Visualizing Semantic Web Data
Searching, Querying, Visualizing, and Interpreting the Semantic Web
Social Networking and Community Identification
Web-Based Recommendation Systems, Web-Based Opinion Extraction and Trend Spotting.
G3a: Intelligent Information and Engineering Systems
Natural Language Processing, Agent and Multi-Agent Systems, Bio-inspired Systems, Nature Inspired Methods and Optimization, Image Processing and Signal Processing, Machine & Computer Vision, Monitoring and Prediction, Speech Processing and Synthesis.Prof Ron Hartung Franklyn University, United States
G3b: CybersecurityMichael Soltys
G4: Industry Applications
Multi-Sensor Information Systems, Dimensionality Reduction and Interactive Multivariate Data Visualization/Analysis, Organisation Memories, Industrial Control, Fault Diagnosis, Robotics, Image Processing, Medical & Diagnostic Systems, Environmental Monitoring, Power Electronics & Drives, High Voltage Systems, Engine Control and Vehicle Applications, Smart Vehicles and AGVs, Signal and Time Series Processing, Wavelets, Industrial communication standards (OPCUA, MqTT, DDS), Minifactories, Industry 4.0 applications, Financial & Stock Market, Dashboards, real time networking, Time Sensitive Networks, Industrial Wireless (5G, ZigBee).Dr Carlos Toro - ARTC (Advanced Remanufacturing and Technology Centre) - A*Star (Singapore)
** PLEASE NOTE:
- Do not submit the same paper to more than one General Track or Invited Session as they may be deleted from the conference.
- We may re-allocate papers to more appropriate tracks if we feel it necessary.