(mobo import Concept___Events-migrated) |
m (Text replacement - "|State=" to "|Region=") |
||
| Line 6: | Line 6: | ||
|Homepage=http://ictai2020.org/index.html | |Homepage=http://ictai2020.org/index.html | ||
|City=Baltimore | |City=Baltimore | ||
| − | | | + | |Region=Maryland |
|Country=Country:US | |Country=Country:US | ||
|Paper deadline=2020/06/10 | |Paper deadline=2020/06/10 | ||
Revision as of 09:20, 15 September 2022
Topics
AI Foundations
- Machine Learning and Data Mining
- Evolutionary computing, Bayesian and Neural Networks
- Pre-processing, Dimension Reduction and Feature Selection
- Decision/Utility Theory and Decision Optimization
- Learning Graphical Models and Complex Networks
- Search, SAT, and CSP Active, Cost-Sensitive, Semi-Supervised, Multi-Instance, Multi-Label and Multi-Task Learning
- Description Logic and Ontologies
- Transfer/Adaptive, Rational and Structured Learning
AI in Domain-specific Applications
- Preference/Ranking, Ensemble, and Reinforcement Learning
AI in Computational Biology, Medicine and Biomedical Applications
- Knowledge Representation, Reasoning and Cognitive Modelling
