ICTAI 2020 : International Conference on Tools with Artificial Intelligence

in Conferences   Posted on May 29, 2020 

Conference Information

Submission Deadline Wednesday 08 Jul 2020 Proceedings indexed by :
Conference Dates Nov 9, 2020 - Nov 11, 2020
Conference Address Online, Online
Conference & Submission Link http://ictai2020.org
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Impact Score 2.31
#Contributing Top Scientists 34
#Papers published by Top Scientists 52
Google Scholar H5-index 19
Guide2Research Overall Ranking: 371
Category Rankings
Machine Learning & Artificial Intelligence 91
Proceedings https://ieeexplore.ieee.org/xpl/conhome/1000763/all-proceedings

Conference Call for Papers

CTAI 2020: 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 of Interest include (but are not limited to):

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

AI in WWW, Communication, Social Networking, Recommender Systems, Games and E-Commerce Knowledge Representation, Reasoning

AI in Finance and Risk Management Knowledge Extraction, Management and Sharing

AI in Computer Systems Case-based Reasoning and Knowledge-based Systems

AI in Robotics, Computer Vision and Games Cognitive Modelling and Semantic Web

AI in Natural Language Processing AI and Decision Systems

AI in Software Engineering, Real-Time and Embedded Applications, and Sensor Networks Decision Guidance and Support Systems

AI in Cloud Computing, Data-Intensive Applications and Online/Streaming and Multimedia Systems Optimization-based Recommender Systems

AI in Web Search and Information Retrieval Group, Distributed, and Collaborative Decisions

AI in Computer Security, Data Privacy, and Information Assurance Crowd-sourcing and Collective Intelligence Decision-making

AI in Data Analytics and Big Data Strategic, Tactical and Operational-level Decisions

Visual Analytics for Big Data Decision-making in Social and Mobile Networks

Computational Modeling for Big Data Uncertainty in AI

Large-scale Recommendation and Social Media Systems Uncertainty and Fuzziness Representation and Reasoning

Cloud/Grid/Stream Data Mining for Big Velocity Data Approximate/Exact Probabilistic Inference

Semantic-based Big Data Mining Knowledge Discovery and Data Mining for Uncertain Data

AI in Smart Cities AI and Societal Impact

Healthcare, Traffic, Transportation, Environment, etc. AI Fairness, Accountability and Transparency

AI interpretability and explanability

Ethical and Trustworthy AI

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