ICMLDE 2023: 2nd International Conference on Machine Learning and Data Engineering UPES Dehradun, India, November 23-24, 2023 |
| Conference website | http://www.icmlde.org |
| Submission link | https://easychair.org/conferences/?conf=icmlde2023 |
| Submission deadline | August 20, 2023 |
| Submission closed | August 30, 2023 |
Elsevier International Conference on Machine Learning and Data Engineering
The 2nd International conference on Machine Learning and Data Engineering (ICMLDE 2023) 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.
This conference aims to broaden its scope in the areas of Machine Learning and Data Engineering by including expert speeches and presentations from young researchers in each session. The conference aims to enhance the state-of-the-art in Machine Learning and Data Engineering, as well as other promising areas of computing, by encouraging fresh, high-quality research discoveries and inventive solutions to tough machine learning challenges. Researchers, academicians, and professionals from all over the world are invited to submit original, unpublished research papers from all perspectives, including theory, practice, experimentation, and review papers highlighting specific research domains for presentation in the conference's technical sessions.
The conference will create a cross-disciplinary summit that will bridge the gap between departmental, institutional, industrial, public and private research organizations, and global barriers, allowing for the integration of research and education in the emerging field of Machine Learning and Data Engineering.
"ICMLDE 2022 received more than one thousand manuscripts worldwide including Algeria, Bangladesh, China, Czechia, Eswatini, Ethiopia, Finland, France, India, Iran, Iraq, Ireland, Italy, Jordan, Korea, The Democratic People's Republic of Malaysia, Morocco, Nigeria, Norway, Oman, Peru, Philippines, Saudi Arabia, Slovakia, South Korea, Spain, Sri Lanka, Switzerland, Turkey, United Arab Emirates, United Kingdom, United States, Uzbekistan, and Viet Nam. A very high number of high-quality submissions were received from them 273 were accepted for publication in Procedia Computer Science Journal, Elsevier. All papers have been published in Procedia Computer Science, Vol 218, 2023".
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 2023 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
Applications:
- Bioinformatics
- Biomedical informatics
- Computational Biology
- Healthcare
- Human Activity Recognition
- Computer vision
- Natural Language Processing
- Climate Science
Committees
General Chairs
Prof. Vijayan K Asari, University of Dayton, Ohio, USA
Prof. Ravi S. Iyer, University of Petroleum and Energy Studies, India
Prof. Vasant Honavar, Penn State University, USA
Prof. Kuan Ching Li, Providence University, Taiwan
Prof. Rubén González, Universidad Internacional de La Rioja, Spain
Prof. Joseph Tan, McMaster University, Canada
Invited Speakers
Panos Liatsis, Khalifa University, UAE
Vijayan K Asari, University of Dayton, Ohio, USA
Anuj Srivastava, Florida State University in Tallahassee, USA
Syed A Chan Bukhari, St. John's University, New York. USA
Publication
All ICMLDE 2023 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 S
Organizing Chairs
University of Petroleum and Energy Studies, India
info@icmlde.org
Whatsapp: 8800642397