会议信息
ICTAI 2016 : International Conference on Tools with Artificial Intelligence
http://cecs.wright.edu/atrc/ICTAI-2016-CFP-Feb-21-1.pdf
截稿日期:
2016-06-30
通知日期:
2016-07-30
会议日期:
2016-11-07
会议地点:
San Jose, California, USA
届数:
28
CCF: c   CORE: b   QUALIS: a2   浏览: 11459   关注: 32   参加: 14

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征稿
The annual IEEE International Conference on Tools with Artificial Intelligence (ICTAI) provides a major international forum where the creation and exchange of ideas related to artificial intelligence are fostered among academia, industry, and government agencies. The conference facilitates the cross-fertilization of these ideas and promotes their transfer into practical tools, for developing intelligent systems and pursuing artificial intelligence applications. The ICTAI encompasses all technical aspects of specifying, developing and evaluating the theoretical underpinnings and applied mechanisms of the AI-based components of computer tools such as algorithms, architectures and languages. 

*AI Foundations
-Evolutionary computing, Bayesian and Neural Networks
-Decision/Utility Theory and Decision Optimization
-Search, SAT, and CSP
-Description Logic and Ontologies
*AI in Domain Specific Applications
-AI in Natural Language Processing and Understanding
-AI in Computational Biology, Medicine and Biomedical Applications
-AI in WWW, Communication, Social Networking, Recommender Systems, Games and E-Commerce
-AI in Finance and Risk Management
*AI in Computer Systems
-AI in Robotics, Computer Vision and Games
-AI in Software Engineering, Real-Time and Embedded Applications, and Sensor Networks
-AI in Cloud Computing, Data-Intensive Applications and Online/Streaming and Multimedia Systems
-AI in Web search and Information Retrieval
-AI in Computer Security, Data Privacy, and Information Assurance
*AI in Data Analytics and Big Data
-Visualization Analytics for Big Data 

-Computational Modeling for Big Data

-Large-scale Recommendation and Social Media Systems
-Cloud/Grid/Stream Data Mining for Big Velocity Data 

-Semantic-based Big Data Mining
*Uncertainty in AI
-Uncertainty and Fuzziness Representation and Reasoning
-Approximate/Exact Probabilistic Inference
-Knowledge Discovery and Data Mining for Uncertain Data
*Machine Learning and Data Mining
-Data pre-processing, reduction and feature selection
-Learning Graphical Models and Complex Networks
-Active, Cost-Sensitive, Semi-Supervised, Multi-Instance, Multi-Label and Multi-Task Learning
-Transfer/Adaptive, Rational and Structured Learning
-Preference/Ranking, Ensemble, and Reinforcement Learning
*Knowledge Representation, Reasoning and Cognitive Modelling
-Knowledge Representation, Reasoning
-Knowledge Extraction, Management and Sharing
-Case-Based Reasoning and Knowledge-based Systems
-Cognitive Modelling and Semantic Web
*AI and Decision Systems
-Decision Guidance and Support Systems
-Optimization-based recommender systems
-Group, distributed, and collaborative decisions
-Crowd-sourcing and collective intelligence decision making
-Strategic, tactical and operational level decisions
-Decision making in social and mobile networks
*Multimodal Communicative Signals: Behavioural and Algorithmic Issues
-Verbal and nonverbal social communicative signals
-Trustful human-human and human-machine exchanges
-Emotionally and socially believable robots and ICT interfaces
-Recognition, synthesis and understanding of human interactions
-Context and cultural effects on perception. Memory, cognition
-Multimodal Signal Analysis and Processing
-Affective systems and related applications
-Learning algorithms in social robotics and ICT interfaces
-Analysis and processing of human daily cognitive activities
最后更新 Xin Yao 在 2016-06-27
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