Aim & Scope 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.
Topics (not limited to)
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
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
Uncertainty in AI - Uncertainty and Fuzziness Representation and Reasoning - Approximate/Exact Probabilistic Inference - Knowledge Discovery and Data Mining for Uncertain Data
Paper Submission The submissions should contain original, high quality, not submitted or published elsewhere work. Papers should be submitted electronically through the EasyChair system in pdf format and should conform to IEEE specifications (single-spaced, double-column, 10-point font size, up to 8 pages).
Paper Presentation Each accepted paper should be presented by one of the authors and accompanied by at least one full registration fee payment, to guarantee publication in the proceedings. All accepted papers will be included in proceedings of ICTAI 2014 that will be published by the IEEE Computer Society.
IJAIT special issue Extended versions of the best papers of the conference will be invited for publication in a special issue of the International Journal on Artificial Intelligence Tools (IJAIT) (SCI Indexed).
Important Dates Paper submission: June 30, 2014 Paper notification: July 30, 2014 Camera-ready paper: August 30, 2014
Point of Contact George A. Papadopoulos Department of Computer Science University of Cyprus george-at-cs-dot-ucy-dot-ac-dot-cy
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