Conference Information

AIA' 2027: International Conference on Artificial Intelligence and Application

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Submission Date:
2027-05-26 Due in 249 days
Notification Date:
Conference Date:
2027-06-11
Location:
Kuala Lumpur, Malaysia
Years:
QUALIS: B4   Viewed: 24809   Tracked: 8   Attend: 0

Conference Partner Index (CP-I)

53.9 / 100
Ranked #935 of 5,682 conferences · Top 17%

#79 of 739 in Artificial Intelligence & Machine Learning

Academic recognition (35%)
54
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
62
Community attention (10%)
44
Public record completeness (15%)
55

Inputs used: Listed as QUALIS B4 · Editions on record: 9 · Researchers following it here: 8 · Researchers who opened this page in the past 24 months: 19

Missing from the public record: Historical acceptance rates (+4.5) · 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 80% - 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 2026-09-19

Call For Papers

AIA' 2027 (International Conference on Artificial Intelligence and Application) is a QUALIS B4 conference held in Kuala Lumpur, Malaysia on 2027-06-11. The paper submission deadline is 2027-05-26.

Topics of Conference The main topics include but will not be limited to (Excellent surveying works in these areas are welcome, too.) AI and Evolutionary Algorithms Algebraic Biology Ant colony optimization Applications in Bioinformatics Approximate Reasoning Architectures of Intelligent Systems Aspects of knowledge structures Aspects of natural language processing Aspects of text technology Automated problem solving Bayesian methods Bioinformatics and computational biology Biological network analysis Biostatistics Brain models / cognitive science Combining multiple knowledge sources in an integrated intelligent system Computational Science Constraint-based reasoning and constraint programming Cross-Entropy method Data Mining Decision support systems Constructions technology economy and management Contracting and Legal Issues Data Sensing and Analysis Decision Support Systems Distributed AI algorithms and Techniques Emerging Technologies Evaluation of AI tools Evolutionary Computation Expert systems Fuzzy logic, modeling, control and soft computing Gaussian graphical models General issues in graph and tree mining Grammatical inference Granular Computing Graph learning based on graph grammars Heuristic optimization techniques Hierarchical learning models High-throughput data analysis Hybrid Intelligent Systems Image processing and understanding (interpretation) Inductive learning and applications Information-theoretical approaches to graphs Integration of AI with other technologies Intelligent agents Intelligent databases Intelligent information fusion Knowledge acquisition and discovery techniques Knowledge networks and management Knowledge-intensive problem solving techniques Languages and programming techniques for AI Learning and adaptive sensor fusion Machine learning Markov chain Monte Carlo (MCMC) methods Meta learning Motif search Multi-criteria reinforcement learning Multiple hypothesis testing Multisensor data fusion using neural and fuzzy techniques Natural language processing Nature Inspired Methods Neural networks and applications Real-world applications of Intelligent Systems Particle filter Reasoning strategies Reinforcement learning Robotics Search and meta-heuristics Simulated annealing Social intelligence (markets and computational societies) Statistical learning theory Stochastic optimization Supervised and unsupervised classification of web data Time series prediction Topics on satisfiability Unsupervised and Supervised Learning Web Mining
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