Conference Code: 22IL04ICEML
The International Research Conference Aims and Objectives
The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation within the conference program. Events will run over a span of time during the conference depending on the number and length of the presentations.
ICEML 2022: International Conference on Evolutionary Machine Learning aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Evolutionary Machine Learning. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Evolutionary Machine Learning.
Call for Contributions
Prospective authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters. Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Evolutionary Machine Learning are cordially invited for presentation at the conference. The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of novel research materials.
WASET
Conference Proceedings
All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the
Open Science Index,
Google Scholar,
Semantic Scholar,
Zenedo,
OpenAIRE,
BASE,
WorldCAT,
Sherpa/RoMEO, and other index databases.
Impact Factor Indicators.
Special Journal Issues
ICEML 2022 has teamed up with the Special Journal Issue on
Evolutionary Machine Learning.
A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.
Conference Sponsor and Exhibitor Opportunities
The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete
the Conference Sponsorship Request Form.
Important Dates
| Abstracts/Full-Text Paper Submission Deadline |
|
March 31, 2020 |
| Notification of Acceptance/Rejection |
|
April 15, 2020 |
| Final Paper (Camera Ready) Submission & Early Bird Registration Deadline |
|
March 29, 2022 |
| Conference Dates |
|
April 29 - 30, 2022 |
Important Notes
Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for
Full-Text Papers and
Abstract Papers.
Please refer to the
Paper Submission GUIDE before submitting your paper.
Selected Conference Papers
1) Improving Fake News Detection Using K-means and Support Vector Machine ApproachesKasra Majbouri Yazdi, Adel Majbouri Yazdi, Saeid Khodayi, Jingyu Hou, Wanlei Zhou, Saeed Saedy 2) Lung Cancer Detection and Multi Level Classification Using Discrete Wavelet Transform ApproachV. Veeraprathap, G. S. Harish, G. Narendra Kumar 3) Deep Learning Based Fall Detection Using Simplified Human PostureKripesh Adhikari, Hamid Bouchachia, Hammadi Nait-Charif 4) Consumer Load Profile Determination with Entropy-Based K-Means AlgorithmIoannis P. Panapakidis, Marios N. Moschakis 5) Comparison of Machine Learning Models for the Prediction of System Marginal Price of Greek Energy MarketIoannis P. Panapakidis, Marios N. Moschakis 6) An IM-COH Algorithm Neural Network Optimization with Cuckoo Search Algorithm for Time Series SamplesWullapa Wongsinlatam 7) Performance Evaluation of Distributed Deep Learning Frameworks in Cloud EnvironmentShuen-Tai Wang, Fang-An Kuo, Chau-Yi Chou, Yu-Bin Fang 8) Foot Recognition Using Deep Learning for Knee RehabilitationRakkrit Duangsoithong, Jermphiphut Jaruenpunyasak, Alba Garcia 9) Optimizing the Probabilistic Neural Network Training Algorithm for Multi-Class IdentificationAbdelhadi Lotfi, Abdelkader Benyettou 10) Classification of Health Risk Factors to Predict the Risk of Falling in Older Adults L. Lindsay, S. A. Coleman, D. Kerr, B. J. Taylor, A. Moorhead 11) Predictive Semi-Empirical NOx Model for Diesel EngineSaurabh Sharma, Yong Sun, Bruce Vernham 12) An Automated Stock Investment System Using Machine Learning Techniques: An Application in AustraliaCarol Anne Hargreaves 13) Machine Learning for Aiding Meningitis Diagnosis in Pediatric PatientsKarina Zaccari, Ernesto Cordeiro Marujo 14) Fast Adjustable Threshold for Uniform Neural Network QuantizationAlexander Goncharenko, Andrey Denisov, Sergey Alyamkin, Evgeny Terentev 15) A Bacterial Foraging Optimization Algorithm Applied to the Synthesis of Polyacrylamide HydrogelsFlorin Leon, Silvia Curteanu
Similar conferences about
Computer and Information Engineering
