Conference Information

ICTAI 2026: International Conference on Tools with Artificial Intelligence

Please Login to view website of conference
Free account: view official websites, track deadlines, and get email reminders.
Register Login
Embed deadline badge
ICTAI
Get this via API
Search and ranking lists need no credentials at all; full detail for this page needs a free API key. See the developer guide.
Submission Date:
2026-06-30
Notification Date:
2026-09-10
Conference Date:
2026-11-02
Location:
Boca Raton, Florida, USA
Years:
38
CCF: C   ICORE: B   QUALIS: A2   Viewed: 471298   Tracked: 284   Attend: 89

Conference Partner Index (CP-I)

84.8 / 100
Ranked #127 of 5,647 conferences · Top 3%

#15 of 734 in Artificial Intelligence & Machine Learning

Academic recognition (35%)
92
Submission selectivity (20%)
72
Editions held (20%)
99
Community attention (10%)
87
Public record completeness (15%)
65

Inputs used: Listed as CCF C, ICORE B, QUALIS A2 · Acceptance rate: 35% (mean of 1 editions on file) · Editions on record: 38 · Researchers following it here: 284 · Researchers who opened this page in the past 24 months: 73

Missing from the public record: Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 100% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-02

Call For Papers

ICTAI 2026 (International Conference on Tools with Artificial Intelligence) is a CCF C / ICORE B / QUALIS A2 conference held in Boca Raton, Florida, USA on 2026-11-02. The paper submission deadline is 2026-06-30. Acceptance notifications are sent on 2026-09-10.

Conference Categories 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 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 Natural Language Processing 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 Visual 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 AI in Smart Cities Healthcare, Traffic, Transportation, Environment, etc. AI Synergistic models Bridging AI Models for Advanced AI. AI and Societal Impact AI Fairness, Accountability and Transparency AI interpretability and explainability Ethical and Trustworthy AI Machine Learning Dimension Reduction and Feature Selection computing Learning Graphical Models and Complex Networks Active, Cost-Sensitive, Semi-Supervised, Multi-Instance, Multi-Label and Mulit-Task Learning Transfer/Adaptive, Rational and Structured Learning Preference/Ranking, Ensemble, and Reinforcement Learning Learn continuous-Incremental 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 Natural Language Processing Natural Language Processing/Understanding Large language models Dialogue systems and digital assistants/chatbots AI in Quantum Computing and Systems Quantum machine learning (QML), hybrid quantum–classical AI Variational quantum algorithms (e.g., QAOA, VQE) for AI tasks AI for quantum system design, control, and error mitigation AI for distributed and networked quantum Benchmarking and evaluation of quantum AI systems
Last updated by Dou Sun on

Acceptance Ratio

Average acceptance rate: 35% over 1 years (2006–2006).

YearSubmittedAcceptedAccepted(%)
20062408435%

People who viewed this also viewed

Related Conferences

Related Journals

CCFFull NameImpact FactorPublisherISSN
International Journal on Artificial Intelligence Tools1.0World Scientific0218-2130
Engineering with Computers4.9Springer0177-0667
Computers & Mathematics with Applications2.5Elsevier0898-1221
Software-Concepts and ToolsSpringer0945-8115
CKnowledge-Based Systems7.2Elsevier0950-7051
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
CIEEE Transactions on Industrial Informatics11.7IEEE1551-3203
CIEEE Internet of Things Journal8.9IEEE2327-4662

Comments 0

No comments yet.

Please Login to post a comment