Conference Information

MLAIA 2026: International Conference on Machine Learning and Artificial Intelligence Applications

Please Login to view website of conference
Free account: view official websites, track deadlines, and get email reminders.
Register Login
Embed deadline badge
MLAIA
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:
2026-10-10 Due in 37 days
Notification Date:
2026-11-26
Conference Date:
2026-12-18
Location:
Nanning, China
Years:
Viewed: 4976   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

43.1 / 100
Ranked #3,634 of 5,647 conferences · Top 65%

#451 of 734 in Artificial Intelligence & Machine Learning

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
30
Community attention (10%)
15
Public record completeness (15%)
55

Inputs used: Editions on record: 2 · Researchers who opened this page in the past 24 months: 6

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 45% - 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 2026-09-03

Call For Papers

MLAIA 2026 (International Conference on Machine Learning and Artificial Intelligence Applications) is an academic conference held in Nanning, China on 2026-12-18. The paper submission deadline is 2026-10-10. Acceptance notifications are sent on 2026-11-26.

The 2nd International Conference on Machine Learning and Artificial Intelligence Applications (MLAIA 2026) aims to the promote the exchange of ideas in Machine Learning and Artificial Intelligence Applications. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas but are not limited to: Machine Learning Algorithms and Models Development of novel machine learning algorithms. Advances in supervised, unsupervised, and reinforcement learning models. Deep learning architectures and innovations. ML for Optical Data Analysis Transfer learning and domain adaptation techniques. Optimization and Training Optimization methods for machine learning. Efficient training strategies and scalability. Hyperparameter tuning and optimization. Regularization techniques and generalization. Applications and Case Studies Machine learning in healthcare: diagnostics, drug discovery, medical imaging. Natural language processing: text classification, sentiment analysis, machine translation. Computer vision: object detection, image segmentation, facial recognition. Ethics and Fairness Intelligent Fiber Systems. Fairness and bias in machine learning models. Ethical considerations in algorithm design and deployment. Transparency and interpretability of machine learning systems. Privacy-preserving machine learning. Theoretical Foundations Statistical learning theory. Probabilistic graphical models. Information theory and its applications in machine learning. Convergence analysis and theoretical guarantees. Artificial Intelligence Applications Intelligent Systems and Agent Development of intelligent agents and autonomous systems. Multi-agent systems and cooperation. Robotics and AI integration. AI in Optical System Design and Optimization Human-agent interaction and collaboration. Knowledge Representation and Reasoning Knowledge graphs and semantic web. Logical reasoning and inference engines. Ontologies and knowledge bases. Commonsense reasoning and cognitive architectures. AI in healthcare Intelligent diagnosis . Clinical decision-making. Intelligent medical devices and robots. Medical big data and artificial intelligence technologies​ . AI in Industry Quantum Photonics and AI AI-driven supply chain optimization. Intelligent manufacturing and Industry 4.0. AI in environmental monitoring and sustainability. AI in disaster response and humanitarian aid. AI and Human-Computer Interaction User interface design for AI systems. Voice assistants and natural language interfaces. Gesture recognition and multimodal interaction. Accessibility and AI for people with disabilities. Virtual and augmented reality applications. Game development and Al.
Last updated by Admin Agent on

People who viewed this also viewed

Related Conferences

Related Journals

CCFFull NameImpact FactorPublisherISSN
BMachine Learning2.9Springer0885-6125
CMachine Vision and Applications2.3Springer0932-8092
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203

Comments 0

No comments yet.

Please Login to post a comment