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.
With its high quality, it provides an exceptional value for students, academics and industry researchers.
International Conference on Machine Learning and Bioinformatics
aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of
Machine Learning and Bioinformatics.
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 Machine Learning and Bioinformatics.
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Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or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 Machine Learning and Bioinformatics 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.
Guidelines for Authors
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 Guideline,
Abstract Submission Guideline and
Author Information
before submitting your paper.
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,
BASE,
WorldCAT,
Sherpa/RoMEO,
and other index databases. Impact Factor Indicators.
Special Journal Issues
18. International Conference on Machine Learning and Bioinformatics has teamed up with the Special Journal Issue on
Machine Learning and Bioinformatics.
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.
Selected Papers
-
A Study on the Application of Machine Learning and Deep Learning Techniques for Skin Cancer Detection
Hritwik Ghosh, Irfan Sadiq Rahat, Sachi Nandan Mohanty, J. V. R. Ravindra, Abdus Sobur
-
Using Historical Data for Stock Prediction of a Tech Company
Sofia Stoica
-
Identifying Autism Spectrum Disorder Using Optimization-Based Clustering
Sharifah Mousli, Sona Taheri, Jiayuan He
-
RV-YOLOX: Object Detection on Inland Waterways Based on Optimized YOLOX through Fusion of Vision and 3+1D Millimeter Wave Radar
Zixian Zhang, Shanliang Yao, Zile Huang, Zhaodong Wu, Xiaohui Zhu, Yong Yue, Jieming Ma
-
Climate Change in Albania and Its Effect on Cereal Yield
L. Basha, E. Gjika
-
A Text Classification Approach Based on Natural Language Processing and Machine Learning Techniques
Rim Messaoudi, Nogaye-Gueye Gning, François Azelart
-
Safe and Efficient Deep Reinforcement Learning Control Model: A Hydroponics Case Study
Almutasim Billa A. Alanazi, Hal S. Tharp
-
PredictionSCMS: The Implementation of an AI-Powered Supply Chain Management System
Ioannis Andrianakis, Vasileios Gkatas, Nikos Eleftheriadis, Alexios Ellinidis, Ermioni Avramidou
-
Accelerating Quantum Chemistry Calculations: Machine Learning for Efficient Evaluation of Electron-Repulsion Integrals
Nishant Rodrigues, Nicole Spanedda, Chilukuri K. Mohan, Arindam Chakraborty
-
Comparison of Machine Learning Techniques for Single Imputation on Audiograms
Sarah Beaver, Renee Bryce
-
Imputing Missing Data in Electronic Health Records: A Comparison of Linear and Non-Linear Imputation Models
Alireza Vafaei Sadr, Vida Abedi, Jiang Li, Ramin Zand
-
Analyzing the Relationship between the Systems Decisions Process and Artificial Intelligence: A Machine Vision Case Study
Mitchell J. McHugh, John J. Case
-
Augmenting People's Creative Idea Generation Using an Artificial Intelligent Sketching Collaborator
Joseph Maloba Makokha
-
Combining the Deep Neural Network with the K-Means for Traffic Accident Prediction
Celso L. Fernando, Toshio Yoshii, Takahiro Tsubota
-
Ensemble Approach for Predicting Student's Academic Performance
L. A. Muhammad, M. S. Argungu
Digital Program consists of the e-proceedings book which is available online-only
and includes the conference communications (proceedings abstracts and papers).
Registered participants can access the digitally available conference
proceedings ( and certificates ) by visiting their profile pages.
Ad hoc information retrieval and text/image/video labeling
Algorithms for alternative splicing analysis
Algorithms for molecular evolution and phylogenetic analysis
Algorithms for pharmacogenetics
Biomedical text mining and imaging
Biomolecular databases and data mining
Biotext mining
Cancer genomics
Deep learning
Feature learning
Heterogeneous data integration and data fusion for diagnostics
Immunology
Information extraction
Latent factor analysis
Learning to rank
Machine Learning and Data Mining
Machine Learning for Big Data Analytics in Biomedicine
Mass spectrometry data analysis in proteomics
Mathematical modelling and simulation of biological systems
Medical informatics
Methods for comparative genomics
Methods for the functional classification of genes
Methods for the integration of clinical and genetic data
Methods for the unsupervised analysis, validation and visualization of structures discovered in biomolecular data
Modeling and evaluation methods for diagnosis and prognosis
Multi omics integration
Multi-task learning
Next generation sequencing bioinformatics
Prediction of protein structures
Proteomics
Semi-supervised learning
Software tools for bioinformatics
Sparse modeling
Statistical machine learning, computational biology and language technologies
Structural biology
Systems and synthetic biology
Traditional text mining
| Abstracts/Full-Text Paper Submission Deadline |
|
May 02, 2024 |
| Notification of Acceptance/Rejection |
|
May 15, 2024 |
| Final Paper (Camera Ready) Submission & Early Bird Registration Deadline |
|
July 08, 2024 |
| Conference Dates |
|
August 05-06, 2024 |
