8th International Conference on Pattern Recognition and Machine Learning (PRML 2027)

The 8th International Conference on Pattern Recognition and Machine Learning (PRML 2027) focuses on the latest developments in pattern recognition and machine learning, including applications across various domains and the ethical challenges they bring.

Key Topics

• Artificial Intelligence (AI) for Data Analytics
  • Predictive Maintenance, Condition Monitoring, Manufacturing Analytics
  • Explainable AI and Knowledge Discovery from Databases
  • Medical Diagnosis and Prognosis, Biomedical and Healthcare Analytics
  • Data Clustering, Classification, and Visualization
  • Fintech, Business Intelligence, Marketing Analytics, Risk Analytics, and Decision Support
  • Data Mining in Education, Transportation, Telecommunication, Agriculture, Energy, etc.
• Vision Applications and Systems
  • Segmentation, Grouping, and Shape
  • Vision + Language, Vision + Other Modalities
  • Vision Applications and Systems
  • Vision for Robotics and Autonomous Vehicles
  • Video Analysis and Understanding
  • Visual Reasoning and Logical Representation
• Deep Learning and Optimization
  • Motion and Tracking
  • Scene Analysis and Understanding
  • Transfer Learning, Low-Shot, Semi- and Unsupervised Learning
  • Representation Learning and Deep Learning
  • Neural Generative Models, Autoencoders, GANs
  • Optimization and Learning Methods
• Artificial Intelligence (AI) in Biomedical Applications
  • Distributed Computing for Big Data in Smart Healthcare using AI
  • AI-enabled Remote Patient Monitoring using Big Data
  • Biomedical Image Retrieval, Segmentation, Grouping, and Shape using AI
  • Explainable AI, Fairness, Accountability, Privacy, Transparency, and Ethics in Vision
  • AI in Biomedical Signal and Image Processing
  • Bioinformatics for Healthcare Engineering
• Computer Vision and Recognition
  • 3D Reconstructions
  • Action Recognition
  • Facial Recognition
  • Object Detection and Tracking
  • Image and Video Classification
  • Content-based Image Retrieval

Who should Attend

• Healthcare professionals interested in AI applications
• Ethics specialists focused on AI and data privacy
• Industry experts in data analytics and AI-driven solutions
• Academics in artificial intelligence and deep learning
• Engineers and developers in AI technologies
• Researchers in machine learning and pattern recognition
• Business leaders applying AI in decision-making processes