ICMLDE, 2022: 2022 International Conference on Machine Learning and Data Engineering UPES Dehradun, India, September 7-8, 2022 |
Conference website | http://www.icmlde2022.com |
Submission link | https://easychair.org/conferences/?conf=icmlde2022 |
Submission Closed | June 15, 2022 |
Submission deadline | June 15, 2022 |
Elsevier International Conference on Machine Learning and Data Engineering
The worldwide conference on Machine Learning and Data Engineering (ICMLDE 2022) is an international venue for the presentation of original research findings, as well as the exchange and dissemination of creative, practical development experiences in various engineering domains. Researchers and application developers from a wide range of artificial and data engineering-related fields, as well as their techniques and applications of current issues in practically all sectors of engineering and technology, attend the conference.
Submission Guidelines:
All papers must be original and not simultaneously submitted to another journal or conference.
A. Guidelines for Paper Submission
(1) Authors are invited to submit their paper electronically using a proceedings template written in English, with a length of up to 10 pages, a full paper presenting the results of original research or an innovative paper, and a short paper that is partially completed with a theoretically established idea to practical applications relevant to the conference. Over the ten (10) page limit, additional pages per paper will be charged.(2) All submissions must be made electronically through the editorial manager/Submission Management System, and all accepted and presented papers will be sent to Elsevier for publication in Procedia Computer Science and indexing in databases such as ScienceDirect, Scopus, Google Scholar, INSPEC, Web of Science, and Journal Citation Report (JCR), among others.(3) All manuscripts submitted to ICMLDE 2022 will undergo a peer-review process and the submitted manuscript will be reviewed by at least three reviewers. The review process will be double-blind.
B. PLAGIARISM POLICY
Before submitting the paper, it should be checked for plagiarism using licensed plagiarism tools such as Turnitin. The content similarity should not exceed 10%. In an article, any type of self-plagiarism or plagiarism from others' work(s) should be avoided. If you incorporate a model, concept, figure, table, data, or concluding statement from a previously published work, make sure to correctly cite the source research work. Also, the language you use to explain it should not be the same as the language used in the research work from which you adapted it. You should get permission from the copyright owners before utilizing any copyrighted material.
List of Topics:
Machine Learning Foundations:
- Machine Learning System Design
- Machine Learning Optimization
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Statistical Learning
- Transfer learning
- Extreme Learning Machines
- Kernel Based Learning
- Bayesian Learning
- Instruction Based Learning
- Adversarial Machine Learning
Machine Learning and Data Engineering:
- Machine Learning in Data Lakes
- Machine Learning based Data Integration and Data Interoperability
- Machine Learning Data Pipelines
- Machine Learning based Data Streaming
- Machine Learning Relating to Knowledge and Data Management
- Machine Learning Principles of Information Extraction from Big Data
- Machine Learning based Web Data Management and Deep Web
- Machine Learning Architecture for Pattern Recognition
- Machine Learning Architecture for Medical Imaging
- Machine Learning Search Engine
- Machine Learning Cloud Services
- Machine Learning IoT Services
Deep Learning and Data Engineering:
- Deep Neural Networks Optimization Algorithms
- Deep Feedforward Networks
- Regularization
- Deep Convolutional Neural Networks
- Deep Recurrent Neural Networks
- Sequence Modelling
- Deep Generative Models
- Generative Adversarial Networks
- Inference Dependencies on Multi-Layered Networks
- Tensors for Deep Learning
- Multi Scale Deep Architecture and Learning
Application:
- Bioinformatics
- Biomedical informatics
- Computational Biology
- Healthcare
- Human Activity Recognition
- Computer vision
- Natural Language Processing
- Climate Science
Publication
All ICMLDE 2022 accepted papers will be included by Elsevier in the open-access Procedia Computer Science Journal. Procedia Computer Science is indexed in Scopus, the Web of Science, INSPEC, and Engineering Village. All published papers in Procedia Computer Science are freely available on Elsevier content platform ScienceDirect (www.sciencedirect.com)
Venue
UPES, Dehradun, India
Contact
Dr. Vijendra
SOCS, UPES
icmlde2022@gmail.com
Whatsapp: 8800642397