ICTAI: International Conference on Tools with Artificial Intelligence

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2021 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
ICTAI 2020 International Conference on Tools with Artificial Intelligence
Nov 9, 2020 - Nov 11, 2020 VIRTUAL Jul 1, 2020
ICTAI 2019 International Conference on Tools with Artificial Intelligence
Nov 4, 2019 - Nov 6, 2019 Portland, Oregon TBD
ICTAI 2018 International Conference on Tools with Artificial Intelligence
Nov 5, 2018 - Nov 7, 2018 Volos,Greece Jun 1, 2018
IEEE ICTAI 2017 29th IEEE International Conference on Tools with Artificial Intelligence
Nov 6, 2017 - Nov 8, 2017 Boston, MA, USA Jul 15, 2017
ICTAI 2016 IEEE International Conference on Tools with Artificial Intelligence
Nov 6, 2016 - Nov 8, 2016 San Jose, CA Jul 16, 2016
ICTAI 2015 International Conference on Tools with Artificial Intelligence
Nov 9, 2015 - Nov 11, 2015 Vietri sul Mare Jul 16, 2015
ICTAI 2014 26th IEEE International Conference on Tools with Artificial Intelligence
Nov 10, 2014 - Nov 12, 2014 Limassol, Cyprus Jul 14, 2014
ICTAI 2013 IEEE International Conference on Tools with Artificial Intelligence
Nov 4, 2013 - Nov 6, 2013 Washington Jul 12, 2013
ICTAI 2011 23rd IEEE International Conference on Tools with Artificial Intelligence
Nov 7, 2011 - Nov 9, 2011 Boca Raton, Florida, USA Jul 1, 2011
ICTAI 2010 22th IEEE International Conference on Tools with Artificial Intelligence
Oct 27, 2010 - Oct 29, 2010 Arras (France) Jun 6, 2010
ICTAI 2009 21st International Conference on Tools with Artificial Intelligence
Nov 2, 2009 - Nov 4, 2009 Newark, NJ, USA Jun 28, 2009
ICTAI 2008 The 20th IEEE International Conference on Tools with Artificial Intelligence
Nov 3, 2008 - Nov 5, 2008 Dayton, Ohio, USA Jun 2, 2008
 
 

Present CFP : 2020

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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