Scope
The International Conference on Machine Learning and Applied Data Analytics (EAI MLADA 2023) will be held in Dehradun Uttarakhand India. The conference aims to bring together researchers, practitioners, industry professionals, government representatives, and students from around the world who are interested in applying machine learning techniques for data analytics applications.
The scope of EAI MLADA 2023 is wide-ranging with topics such as deep learning architectures; reinforcement learning algorithms; natural language processing models; computer vision technologies; big data analysis methods; distributed systems engineering principles applied to machine intelligence projects; and more. Additionally, the conference also includes workshops related to topics like ethical considerations when using AI/ML technologies, privacy issues associated with collecting large datasets, and strategies for deploying predictive models into production environments.
At EAI MLADA 2023 there will be keynote addresses delivered by renowned experts in the field of artificial intelligence along with panel discussions about current trends that are impacting our society today. There will also be an opportunity for attendees to present their own work through paper presentations or poster sessions where they can showcase their ideas and findings among peers within this exciting domain of technology development. Moreover, the event provides ample networking opportunities which could lead to collaborations between different participants working on similar problems or new partnerships being formed amongst various organizations involved in advanced research projects involving AI/ML solutions. All these components make up a comprehensive program that should provide attendees with valuable insights into how modern-day developments regarding machine learning & applied data analytics can help improve our daily lives going forward!
Welcome to the EAI Community
Let the EAI Community help you build your career with collaborative research, objective evaluation, and fair recognition:
- Get more visibility for your paper and receive a fair review with Community Review,
- Earn credits regardless of your paper’s acceptance and increase your EAI Index for new membership ranks and global recognition,
- Find out if your research resonates – get real-time evaluation of your presentation on-site via EAI Compass.
Topics
We welcome contributions from the following fields:
Track 1:
- Machine Learning Algorithms
- Computational Intelligence
- Cognitive Intelligence
- Ambient Intelligence
- Deep Learning
- Intelligent Systems
Track 2:
- Data Analytics and Optimization
- Data Pre-Processing
- Big Data Analytics
- Soft Computing
- Evolutionary Computing
- Nature Inspired Computing
- Predictive Analysis, Business Intelligence, Decision Analytics
Track 3:
- General AI Applications Image Processing
- Natural Language Processing
- Computer Vision
- Sentiment Analysis
- Search Engine Optimization
- Speech and Gesture Analysis
- Augmented/Virtual Reality
- Open AI
- Sustainable Designs and Solutions of AI
- Life Sciences Applications by AIML
Track 4:
- Machine Learning Applications in Interdisciplinary Areas
- AI in Legal
- AI in Healthcare and Medicine
- Smart Society
- Smart Farming
- IoT
- Cyber Physical System
- Robotics
- ML in Geo Spatial Techniques
- Brain Computing
- Business Intelligence through Machine Learning and Data Analytics
- AI and Tele E-Health and Disease detection through AI/ML
- AI and Secured Algorithms
- ML in Cloud resource utilization and container placement
- AI and Energy Aware Systems
Publication
All registered papers will be published in EAI CORE series as a proceedings book and made available through European Union Digital Library (EUDL).
Proceedings will be submitted for inclusion in leading indexing services, such as Ei Compendex, Web of Science, Scopus, Google Scholar, DBLP, and EU Digital Library.
Additional publication opportunities:
- EAI Transactions series (Open Access)
- EAI/Springer Innovations in Communications and Computing Book Series
(titles in this series are indexed in Ei Compendex, Web of Science & Scopus)
Paper submission
Papers should be submitted through EAI ‘Confy+‘ system, and have to comply with the CORE format (see Author’s kit section).
- Regular papers should be up to 12-15+ pages in length.
- Short papers should be 6-11 pages in length.
All conference papers undergo a thorough peer review process prior to the final decision and publication. This process is facilitated by experts in the Technical Program Committee during a dedicated conference period. Standard peer review is enhanced by EAI Community Review which allows EAI members to bid to review specific papers. All review assignments are ultimately decided by the responsible Technical Program Committee Members while the Technical Program Committee Chair is responsible for the final acceptance selection. You can learn more about Community Review here.