General Tracks

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
AI, Governance and Ethics
Computer Vision and Pattern Recognition
Deep Learning and Neural Networks
Emerging Technologies
Explainable and Responsible AI
Federated and Privacy-Preserving Learning
Generative and Sustainable AI
Granular Computing and Fuzzy system
Intelligent Systems
Large Language Models
Machine Intelligence
Machine Learning Applications
Machine Learning Theory and Algorithms
Natural Language Processing
Reinforcement Learning and Autonomous Systems
Statistical Learning

Knowledge Discovery
AI for Knowledge Discovery
Big Data Analytics & Technologies
Business Intelligence and Decision Analytics
Computer Vision and Multimedia
Data Governance and Ethics
Data Mining and Visualization
Data Science Applications
Data Science Theory and Applications
Emerging Trends in Data Science
Foundational Data Science
Interdisciplinary Research
Knowledge  Engineering
Knowledge Discovery in Cybersecurity
Knowledge Discovery in Databases
Multimodal Knowledge Discovery
Optimization Algorithms
Semantic Web and Ontology Engineering
Social Network Analysis
Spatial and Spatio-temporal Data Mining
Time Series Mining and Forecasting