Learning
A section of Machine Learning and Knowledge Extraction (ISSN 2504-4990).
Section Information
Editorial Board
Special Issues
Following special issues within this section are currently open for submissions:
- Clinically Robust and Transparent AI-Assisted Medical Diagnostics: From Learning Dynamics to Real-World Deployment (Deadline: 30 September 2026)
- Selected Papers from the International Conference on Advances in Artificial Intelligence and Machine Learning (AAIML 2026) (Deadline: 30 September 2026)
- Artificial Intelligence for Signal, Image, and Multimodal Data Processing: Algorithms, Models, and Knowledge Extraction (Deadline: 15 October 2026)
- Using Large Language Models for Scientific Problem Solving and Engineering Design (Deadline: 31 December 2026)
- LLM-Inspired New Generation Machine Learning: Hyperparameter Optimization and Uncertainty Quantification (Deadline: 31 December 2026)
- Knowledge Discovery and Extraction with Large Language Models, Retrieval-Augmented Generation, and Autonomous Agents: Methods, Architectures, and Applications (Deadline: 31 December 2026)
- Machine Learning for Physiological Signal Analysis (Deadline: 31 December 2026)
- Trustworthy AI: Integrating Knowledge, Retrieval, and Reasoning (Deadline: 31 January 2027)
- Explainable Artificial Intelligence: Theoretical Foundations and Methodological Advances (Deadline: 28 February 2027)
- Efficient Image Generation: Algorithms, Architectures and Applications (Deadline: 28 February 2027)
- Artificial Intelligence in Multimedia: Generation, Synthesis, Analysis, and Security (Deadline: 28 February 2027)
- Multimodal Learning and Knowledge Extraction for Precision Healthcare: Diagnosis, Risk Prediction, and Clinical Decision Support (Deadline: 31 March 2027)
- Machine Learning for Intelligent Biometrics, Pattern Recognition and Secure Identification Systems (Deadline: 31 March 2027)
- Learning from Small Data in Computer Vision (Deadline: 31 March 2027)
- Artificial Intelligence Applications in Biomedicine and Healthcare (Deadline: 31 May 2027)
- Sustainable Applications for Machine Learning—2nd Edition (Deadline: 31 December 2027)
Topical Collection
Following topical collection within this section is currently open for submissions: