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2025 6th International Conference on Pattern Recognition and Machine Learning (PRML 2025)

PRML 2025

URL: http://www.prml.org/
Event Date: 2025-06-13 ~ 2025-06-16
Submission Date: 2025-04-30
Location: Chongqing, China

2025 6th International Conference on Pattern Recognition and Machine Learning (PRML 2025) will be taken place in Chongqing, China during June 13-16, 2025. PRML 2025 is co-sponsored by Chongqing University of Posts and Telecommunications and Sichuan University, supported by Xinjiang University, University of Electronic Science and Technology of China, Xi'an Jiaotong University, and Tibet University, Wenzhou Medical University, University of Malaysia, etc.

Conference Website: http://www.prml.org/

Paper Publication:

1. PRML 2025 Conference Proceedings, Ei Compendex and Scopus indexed.

2. Journal of Advances in Information Technology (ISSN: 1798-2340; Impact Factor 2022: 1.0, CiteScore: 3.1): indexed by ESCI (Web of Science), Scopus, EBSCO, Google Scholar, CNKI, Crossref, etc.

Previous Editions

PRML 2021-ISBN: 978-1-6654-4382-1, IEEE Xplore, Ei Compendex and Scopus indexed.

PRML 2022-ISBN: 978-1-6654-9950-7, IEEE Xplore, Ei Compendex and Scopus indexed; Selected papers published in the Special Issue of Entropy (ISSN 1099-4300): indexed by Scopus, SCIE.

PRML 2023-ISBN: 979-8-3503-2430-3, IEEE Xplore, Ei Compendex and Scopus indexed.

PRML 2024-ISBN: 979-8-3503-5591-8, IEEE Xplore, Ei Compendex and Scopus indexed; selected papers published in JAIT (ISSN: 1798-2340), ESCI (Web of Science) and Scopus indexed (in press).

Awards

1. Best presentation award

2. Best paper award：1000CNY bonus

3. Best student paper award：1000CNY bonus

Conference Participation Methods:

1. To be Authors: Submit a full paper (for publication and presentation) or an abstract (for presentation only) at http://confsys.iconf.org/submission/prml2025.

2. To be Listeners: Register at http://confsys.iconf.org/register/prml2025

3. To be Invited Speakers: welcome to apply by sending your English CV to icprml@163.com.

Topics:

Track 1: Computer Vision and Recognition

Image and Video Classification

Object Detection and Tracking

Semantic Segmentation

Content-based Image Retrieval

Facial Recognition

3D Reconstructions

Action Recognition

Track 2: Deep Learning and Optimization

Neural Generative Models, Autoencoders, GANs

Optimization and Learning Methods

Representation Learning and Deep Learning

Scene Analysis and Understanding

Transfer Learning, Low-Shot, Semi- and Unsupervised Learning

Motion and Tracking

Track 3: Artificial Intelligence (AI) in Biomedical Applications

AI in Biomedical Signal and Image Processing

Bioinformatics for Healthcare Wngineering

Explainable AI, Fairness, Accountability, Privacy, Transparency and Ethics in Vision

Biomedical Image Retrieval, Segmentation, Grouping and Shape using AI

Applying Machine Learning-empowered Sensing to Biomedical Scenarios

Distributed Computing for Big Data in Smart Healthcare using AI

AI-enabled Remote Patient Monitoring using Big Data

Track 4: Vision Applications and Systems

Segmentation, Grouping, and Shape

Vision + Language, Vision + Other Modalities

Video Analysis and Understanding

Vision Applications and Systems

Vision for Robotics and Autonomous Vehicles

Visual Reasoning and Logical Representation

Track 5: Artificial Intelligence (AI) for Data Analytics

Data Clustering, Classification, and Visualisation

Explainable AI and Knowledge Discovery from Databases

Fintech, Business Intelligence, Marketing Analytics, Risk Analytics and Decision Support

Medical Diagnosis and Prognosis, Biomedical and Healthcare Analytics

Predictive Maintenance, Condition Monitoring, Manufacturing Analytics

Data Mining in Education, Transportation, Telecommunication, Agriculture, Energy, etc.

Conference Venue

Chongqing University of Posts and Telecommunications

Submission and Contact Methods

Submission Methods: http://confsys.iconf.org/submission/prml2025

E-mail: icprml@163.com

Conference Secretary: Ms. Kira Yue

2025 6th International Conference on Pattern Recognition and Machine Learning (PRML 2025)

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