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.
ICMLHA 2021: 15. International Conference on Machine Learning Healthcare Applications
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 Healthcare Applications.
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 Healthcare Applications
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Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or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 Healthcare Applications 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,
OpenAIRE,
BASE,
WorldCAT,
Sherpa/RoMEO,
and other index databases. Impact Factor Indicators.
Special Journal Issues
ICMLHA 2021 has teamed up with the Special Journal Issue on
Machine Learning Healthcare Applications.
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
-
Improved Rare Species Identification Using Focal Loss Based Deep Learning Models
Chad Goldsworthy, B. Rajeswari Matam
-
Thresholding Approach for Automatic Detection of Pseudomonas aeruginosa Biofilms from Fluorescence in situ Hybridization Images
Zonglin Yang, Tatsuya Akiyama, Kerry S. Williamson, Michael J. Franklin, Thiruvarangan Ramaraj
-
Deep Learning Based 6D Pose Estimation for Bin-Picking Using 3D Point Clouds
Hesheng Wang, Haoyu Wang, Chungang Zhuang
-
Improving Fake News Detection Using K-means and Support Vector Machine Approaches
Kasra Majbouri Yazdi, Adel Majbouri Yazdi, Saeid Khodayi, Jingyu Hou, Wanlei Zhou, Saeed Saedy
-
Predicting the Success of Bank Telemarketing Using Artificial Neural Network
Mokrane Selma
-
Author Profiling: Prediction of Learners’ Gender on a MOOC Platform Based on Learners’ Comments
Tahani Aljohani, Jialin Yu, Alexandra. I. Cristea
-
A Hybrid Feature Selection and Deep Learning Algorithm for Cancer Disease Classification
Niousha Bagheri Khulenjani, Mohammad Saniee Abadeh
-
Machine Learning Techniques in Bank Credit Analysis
Fernanda M. Assef, Maria Teresinha A. Steiner
-
Automatic Number Plate Recognition System Based on Deep Learning
T. Damak, O. Kriaa, A. Baccar, M. A. Ben Ayed, N. Masmoudi
-
The Forensic Swing of Things: The Current Legal and Technical Challenges of IoT Forensics
Pantaleon Lutta, Mohamed Sedky, Mohamed Hassan
-
A Robust Optimization Method for Service Quality Improvement in Health Care Systems under Budget Uncertainty
H. Ashrafi, S. Ebrahimi, H. Kamalzadeh
-
Modeling Engagement with Multimodal Multisensor Data: The Continuous Performance Test as an Objective Tool to Track Flow
Mohammad H. Taheri, David J. Brown, Nasser Sherkat
-
Robotic Assistance in Nursing Care: Survey on Challenges and Scenarios
Pascal Gliesche, Kathrin Seibert, Christian Kowalski, Dominik Domhoff, Max Pfingsthorn, Karin Wolf-Ostermann, Andreas Hein
-
Vision-Based Daily Routine Recognition for Healthcare with Transfer Learning
Bruce X. B. Yu, Yan Liu, Keith C. C. Chan
-
Uplink Throughput Prediction in Cellular Mobile Networks
Engin Eyceyurt, Josko Zec
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.
Machine learning for healthcare
Machine learning healthcare applications
Diagnosis in medical imaging
Crowdsourced medical data collection
Drug discovery, development and management
Deep learning for medical systems and applications
Big data in health care
Robotic surgery applications
Researchers in machine learning
Statistical natural language processing
Computer vision and related sub-fields
Complex medical data and data analysis
Models for diseases and clinical data
Markov decision processes for clinical decision support
Multiscale data-integration
Modeling with missing or biased data
Learning with non-stationary data
Biomedical signal and image processing
Multimodal information fusion
Mathematical and statistical models
Multivariate statistical analysis
Pattern recognition in biomedical applications
Advanced computer-aided detection/diagnosis
Advanced cellular image analysis
Advanced medical image retrieval
Advanced medical image reconstruction
Advanced molecular/pathologic image analysis
Multimodal neurochemical and/or imaging biomarkers
Gait and motion analysis using complex biomedical signals
Brain computer interfacing
Clinical big data analytics
Abstracts/Full-Text Paper Submission Deadline |
|
January 28, 2021 |
Notification of Acceptance/Rejection |
|
February 11, 2021 |
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline |
|
April 23, 2021 |
Conference Dates |
|
May 24-25, 2021 |
Junyu Xuan |
University of Technology Sydney, AU |
Kean Yap |
Charles Darwin University, AU |
David Powers |
Flinders University, AU |
Alex Pappachen James |
Griffith University, AU |
Palaneeswaran Ekambaram |
Swinburne University of Technology, AU |
Girija Chetty |
University of Canberra, AU |
Vincent C. S. Lee |
Monash University, AU |
Ezendu Ariwa |
University of Bedfordshire, UK |
Elhadj Benkhelifa |
Staffordshire University, UK |
C. Suheyl Ozveren |
University of Abertay Dundee, UK |
Vishal Barot |
Loughborough University, UK |
Hammadi Nait Charif |
Bournemouth University, UK |
Chee Seng Chan |
University of Portsmouth, UK |
Huseyin Seker |
De Montfort University, UK |
Djamila Ouelhadj |
University of Nottingham, UK |
John Chiverton |
University of Bristol, UK |
Ceci Morales |
Carnegie Mellon University, US |
Mohammad Shekaramiz |
Utah Valley University, US |
Abhishek Dubey |
Oak Ridge National Laboratory, US |
Chung Hyun Goh |
University of Texas at Tyler, US |
Kai Zheng |
Stony Brook University, US |
Abhishek Bajpayee |
Massachusetts Institute of Technology, US |
Akilesh Rajavenkatanarayanan |
The University of Texas at Arlington, US |
Mahdi Imani |
George Washington University, US |
Arash Mahyari |
Florida Institute For Human and Machine Cognition, US |
Mustafa 'Mike' Z Younis |
Jackson State University, MS, US |
Samir Iqbal |
University of Texas Rio Grande Valley, US |
Emmanuel Des-Bordes |
Blue Ridge College, US |
Wei Zhang |
University of Virginia, US |
Faezehossadat Khademi |
Illinois Institute of Technology, US |
Participation Type |
Early Registration Fees |
Registration Fees |
Non-Student Oral/Poster Presenter Registration |
€ 450 |
€ 500 |
Student Oral/Poster Presenter Registration |
€ 350 |
€ 400 |
Listener Registration |
€ 250 |
€ 300 |
Additional Paper Publication |
€ 100 |
All conference materials and services will be delivered digitally to the participant with the online conference management system.
Conference registration includes the following digital materials and services:
- e-certificates [for Authors: Certificate of Attendance and Presentation; for Listeners: Certificate of Attendance; for Chairs: Certificate of Attendance and Appreciation; for Presenters: Certificate of Best Presentation (if conferred based appraisal)]
- e-program
- e-book
- e-name badge
- e-receipt
- e-presentation
Presentation Types:
-
Physical presentation is an oral conferencing presentation that is made using digital technology including embedded digital elements ( texts, tables, graphs, or videos ) for PowerPoint sharing.
-
Digital presentation is a digital conferencing presentation that is made using digital technology including embedded digital elements ( texts, tables, graphs, or videos ) for PowerPoint sharing.
Early Bird Registration
Early Bird registration is valid until 2021-04-23 23:59:59
Online Credit Card Processing
Online payment option available for author
and listener delegates.
Conference participants can make online credit card payments for conference registration fees.