The 8th International Conference on Machine Learning, Pattern Recognition and Intelligent Systems (MLPRIS 2026)

The-8th-International-Conference-on-Machine-Learning,-Pattern-Recognition-and-Intelligent-Systems-(MLPRIS-2026)

The 8th International Conference on Machine Learning, Pattern Recognition and Intelligent Systems (MLPRIS 2026) will be held during July 17-19, 2026 in Chengdu, China. The conference will cover issues on Advanced Control and Detection Technology, Artificial Neural Networks, Audio/Speech Recognition, Music Analysis, Multimedia Systems, Biometrics, Biomedical Pattern Analysis and Information Systems, Data/web Mining and Knowledge Discovery, Human-computer Interaction, etc. It dedicates to creating a stage for exchanging the latest research results and sharing the advanced research methods in related fields. MLPRIS 2026 is designed to be an interactive platform, fostering the exchange of the latest research findings and innovative research methodologies within the relevant fields. Attendees will have the opportunity to showcase their research progress, discover emerging trends, and network with fellow professionals in a collaborative environment.

Scientific Sessions

Supervised Learning
Unsupervised & Self-Supervised Learning
Reinforcement Learning
Statistical Learning Theory
Optimization Methods
Language Modeling & Text Generation
Speech Recognition & Synthesis
Information Retrieval & Extraction
Machine Translation & Multilingual NLP
Sentiment Analysis & Opinion Mining
Data/web Mining and Knowledge Discovery
Image & Video Processing
Feature Extraction & Representation
Face, Gesture, and Pose Recognition
Document Analysis & Optical Character Recognition (OCR)
Explainable AI (XAI) & Interpretability
Model Efficiency & Compression
Architectural Innovations
Transfer Learning, Multi-Task Learning & Meta-Learning
Biometric Identification
Pattern Classification
Object Recognition
Robotics & Autonomous Systems
Cybersecurity
Expert Systems
Intelligent Agents
Fuzzy Systems
Evolutionary Computation
Cybersecurity
Automated Driving & Autonomous Vehicles
Privacy-Preserving Machine Learning
Cognitive Computing & Human-AI Collaboration

Important Dates
Date formats: d/m/y
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