CONF-SEML 2023 - International Conference on Software Engineering and Machine Learning (CONF-SEML 2023)

International Conference on Software Engineering and Machine Learning (CONF-SEML 2023)
Date:2023.04.19
Location: Oxford, UK
Website: https://www.confseml.org/
Event enquiries：info-AT-confseml.org
Submission Deadline: 2023.01.25(early) 2023.03.30(regular) （email：submission-AT-confseml.org）
Organizing society : Eliwise Academy
Registration deadline: 2023.4.5
Key Words: computing, machine learning, artificial Intelligence，data science.
Introduction:
CONF-SEML is an annual international event aiming to gather researchers and scholars worldwide to present their research works, share inspirations, and form collaborations. This conference focuses on machine learning in software engineering, artificial intelligence, and other information technology areas. We hope to bring together theoretical developments and applications in relevant fields and encourage practitioners to provide new methods and insights to address challenges. CONF-SEML would work as an international platform for communication, discussion, and cooperation.
CALL FOR PAPER:
Publication：
The paper accepted by CONF-SEML 2023 will be published in conference proceedings and submitted to EI Compendex, Conference Proceedings Citation Index (CPCI), Crossref, CNKI, DOAJ, Inspec, Scopus, Google Scholar, and other databases for indexing.
Topics：
We invite submission of papers focusing on all aspects of computing and data science ranging from theoretical foundations to novel models and algorithms. We focus on challenges and applications in the fields of computing, machine learning, artificial Intelligence and data science.
To view the complete topic list, please check https://www.confseml.org/topics.html
The topics of interest include but are not limited to:
Machine Learning
Data mining in heterogeneous networks
Deep and reinforcement learning
Distributed and decentralized machine learning algorithms
Human-robot interface and interaction
Machine learning for the Internet of Things
Machine learning for network slicing optimization
Machine learning for user behavior prediction
Machine learning in knowledge-intensive systems
Machine learning methods and analysis
Machine learning techniques for big data
Mechanism design and applications
Mobile sensor networks
Modeling and identification
Multi-agent systems
Natural Language Processing
Pattern recognition and classification for networks
Robotic automation and control
Computer Applications
AI architecture and practice
AI model and algorithms
Artificial Intelligence in modelling and simulation
Artificial Intelligence in Scheduling and Optimization
Cloud Computing Architecture
Computer vision and object recognition
Concurrent and Parallel Processing
Coordination in robotics
Data visualization and Modern Technologies
Distributed Intelligent Processing
Intelligence Language & Speech
Intelligent wireless communications
Intelligent wireless sensor networks
Internet of Things
Software Frameworks and Simulations
Software Engineering
Advanced Topics in Software Engineering
Computer-supported collaborative work
Computer graphics and human-computer interaction
Decision support
Distributed computing
Knowledge-based Systems and Formal Methods
Languages and Formal Methods
Managing Software Projects
Modeling software architecture
Multimedia and Visual Software Engineering
Quality Management
Search Engines and Information Retrieval
Software Engineering Decision Making
Software Engineering Practice
Software Maintenance and Testing
Web Engineering