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 and applied data analytics can help improve our daily lives going forward!
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 submitted for publishing by Springer and made available through SpringerLink Digital Library.
Proceedings will be submitted for inclusion in leading indexing services, such as Web of Science, Compendex, Scopus, DBLP, EU Digital Library, IO-Port, MatchSciNet, Inspec and Zentralblatt MATH.
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 Springer 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 at https://help.eai-conferences.org/conference/community/community-review/
Important dates
Full Paper Submission deadline: 30 April 2023
Notification deadline: 25 May 2023
Camera-ready deadline: 15 June 2023
Start of Conference: 21 July 2023
End of Conference: 23 July 2023