Science Cite • Listener Registration Hybrid Access Invitation Support

International Conference on Machine Learning Models and Applications (ICMLMA-26)

Join a premium on-location and digital conference experience designed for researchers, academicians, professionals and industry experts across diverse disciplines.

1st - 2nd December 2026 Denver, USA
Conference Registration Pass
ICMLMA-26
StandardUSD
VirtualUSD
ParticipationListener
VenueDenver
Limited Registration Credit 10% OFF up to USD 30 Use coupon code LIMITED10
Conference Access
Supporting Global Research Participation

Science Cite connects global researchers, educators and professionals through standard and virtual listener participation across international conferences.

After Registration
Official Invitation Letter Available

Registered listeners can request an official invitation letter after successful registration confirmation.

Participation Value
Certificate & Digital Materials

Participants can access conference resources and receive a participation certificate after attendance.

What's Included
Benefits of Registering as Listener
Access to Conference Sessions

Attend keynote, plenary and parallel sessions.

Networking Opportunities

Connect with researchers, educators and scholars.

Certificate of Participation

Receive a digital certificate after participation.

Invitation Letter Support

Official letter support after confirmed registration.

Conference Kit / Materials

E-proceedings and conference resource materials.

Access to Keynote Sessions

Learn from leading experts across event themes.

Limited Offer
10%
Apply this Academic Subsidy at checkout to offset your registration costs.
Your Registration Credit
LIMITED10
2 Participant Details
Available
Exclusive Offer 10% OFF up to USD 30 Use Coupon Code LIMITED10
Apply
4 Terms & Condition
Refund, Cancellation, Postponement, Travel and Transfer of Registration:
Refund Policy:

If the registrant is unable to attend and is not in a position to transfer his/her participation to another person or event, then the following refund arrangements apply: Keeping given advance payments towards Venue, Printing, Shipping, Hotels, and other overheads, we had to keep the Refund Policy as the following slabs:

1. Cancellations made before 60 days of the conference are eligible for a full refund, subject to a $100 cancellation charge.
2. Cancellations made within 60-30 days of the conference are eligible for a 50% payment refund.
3. Cancellations made within 30 days of the conference are not eligible for a refund.
4. Virtual Participation registrations are non-refundable.

(a) The above refund policies are applicable only if the registrant has not received the official invitation letter for participation in the event, If the client receives the conference invitation letter but cannot attend the conference, no refund will be provided.

(b) If the client cannot attend the conference for any personal reasons, the registration fee is not refundable. However, the fee will be considered as a credit to participate in any of our international conferences within one year from the date of registration.

(c) In the event of a visa denial, travel reasons, or natural calamities preventing attendance, the registration fee will not be refunded. However, the fee will be considered as a credit to participate in any of our international conferences within one year from the date of registration.

(d) Since this conference is hybrid, the organizer reserves the right to conduct it in any format, physical or virtual. Refunds will not be provided for format changes.

(e) For participants who register close to the conference date or after the standard registration deadline, The registration will be considered for virtual participation only, as the conference is in hybrid mode. However, you will be eligible to attend one more international conference based on your registration category.

Cancellation Policy:

If the organizer cancels this event for any reason, you will receive a credit for 100% of the registration fee paid. You may use this credit for another event which must occur within one year from the date of cancellation.

Postponement of Event:

If the organizer postpones an event for any reason and you are unable or unwilling to attend on rescheduled dates, you will receive a credit for 100% of the registration fee paid. You may use this credit for another event which must occur within one year from the date of postponement.

Travel and Accommodation Responsibilities:

a) The responsibility for making and managing travel arrangements, including flights, transportation, and accommodation, lies solely with the individual participant.

b) In the event of any changes to the conference format, cancellation, or venue adjustments, the organizers cannot assume responsibility for any costs incurred by participants for travel or accommodation.

Transfer of registration:

All fully paid registrations are transferable to other persons from the same organization if the registered person is unable to attend the event. Transfers must be made by the registered person in writing to team@sciencecite.com. Details must include the full name of the replacement person, their title, contact phone number, and email address. All other registration details will be assigned to the new person unless otherwise specified. Registration can be transferred from one conference to another conference of the same organizer if the registrant is unable to attend one of the conferences

However, Registration cannot be transferred if it is intimated within 14 days of the respective conference. The transferred registrations will not be eligible for Refund.

Visa Information:

The organizer will not directly contact embassies and consulates on behalf of visa applicants. All delegates or invitees should take responsibility for their visa and travel arrangements. Important note for failed visa applications: Visa issues cannot come under the consideration of the cancellation policy of the organizer, including the inability to obtain a visa.

N.B:

All cancellations or modifications of registration must be made in writing to team@sciencecite.com

I agree and accept the Terms and Conditions of the website https://www.sciencecite.com/

Conference Session Tracks

SDG Wheel

SDG-Aligned Research Themes

Science Cite conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 3 SDG 4 SDG 8 SDG 9
01 Advancements in Supervised Learning Techniques
This track focuses on the latest developments in supervised learning methodologies, emphasizing their applications across various domains. Researchers are invited to present innovative algorithms and case studies that demonstrate the effectiveness of these models.
02 Unsupervised Learning: Techniques and Applications
This session explores the realm of unsupervised learning, highlighting novel clustering and dimensionality reduction techniques. Contributions that showcase real-world applications and theoretical advancements are encouraged.
03 Ensemble Learning Approaches in Machine Learning
This track delves into ensemble methods that combine multiple models to enhance predictive performance. Papers discussing novel ensemble strategies and their applications in various fields are welcome.
04 Regression Models: Innovations and Applications
This session is dedicated to the exploration of regression models, focusing on new methodologies and their practical applications. Researchers are invited to share insights on model performance and validation techniques.
05 Decision Tree Models: Theory and Practice
This track examines the theoretical foundations and practical applications of decision tree models in machine learning. Contributions that highlight advancements in interpretability and efficiency are particularly encouraged.
06 Clustering Techniques in Data Science
This session focuses on clustering methodologies and their applications in data analysis. Researchers are invited to present innovative approaches that address challenges in clustering high-dimensional data.
07 Neural Networks: Architectures and Applications
This track investigates the latest architectures in neural networks and their diverse applications across industries. Papers that discuss advancements in deep learning techniques and their impact on performance are encouraged.
08 Deep Learning Models: Trends and Innovations
This session highlights recent trends and innovations in deep learning models, emphasizing their transformative potential in various fields. Researchers are invited to present cutting-edge research that pushes the boundaries of deep learning.
09 Model Validation and Performance Evaluation
This track addresses the critical aspects of model validation and performance evaluation in machine learning. Contributions that propose new metrics or frameworks for assessing model effectiveness are particularly welcome.
10 Healthcare Analytics: Machine Learning Applications
This session focuses on the application of machine learning models in healthcare analytics, exploring innovative solutions to improve patient outcomes. Researchers are encouraged to share case studies and empirical findings in this vital area.
11 Finance Modeling: Machine Learning Approaches
This track examines the integration of machine learning techniques in financial modeling, including risk assessment and predictive analytics. Contributions that demonstrate the application of these models in real-world financial scenarios are highly encouraged.