HYBRID EVENT: You can participate in person at Melbourne, Australia or Virtually from your home or work
Scholars Forum Listener Registration

International Conference on Machine Learning Algorithms and Data Science (ICMLD - 26)

14th - 15th November 2026 Melbourne, Australia
Hybrid Access Invitation Support

Join researchers, academicians, professionals, and industry experts from around the world to exchange knowledge, engage in academic discussions, and advance solutions for a sustainable future.

Academic Participation Experience

Engage in high-quality sessions, gain insights from domain experts, and be part of meaningful academic discussions.

Official Invitation Letter Available

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

Benefits of Registering as Listener
Access to All Conference Sessions

Attend keynote, plenary and technical sessions across relevant tracks.

Networking Opportunities

Connect with global researchers, professionals and domain experts.

Certificate of Participation

Receive an official participation certificate after successful attendance.

Invitation Support

Request invitation letter support after confirmed registration.

Conference Materials

Access available abstracts, session resources and digital materials.

Expert Insights

Gain knowledge from leading speakers and field specialists.

2 Participant Details
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4 Terms & Condition
Conference Programme and Participation Policy:

The Organiser may create shared sessions for research themes spanning more than one discipline, enabling participants to exchange knowledge, build professional relationships, and identify new opportunities for academic cooperation.

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 [email protected]. 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 [email protected]

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Conference Session Tracks

Aligned with United Nations Sustainable Development Goals

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

SDG 4 SDG 8 SDG 9 SDG 11
01 Advancements in Supervised Learning Techniques
This track focuses on the latest developments in supervised learning methodologies, including novel algorithms and their applications. Researchers are encouraged to present studies that highlight improvements in accuracy, efficiency, and interpretability.
02 Unsupervised Learning: Methods and Applications
This session will explore innovative approaches in unsupervised learning, emphasizing clustering techniques and dimensionality reduction. Contributions that demonstrate real-world applications and theoretical advancements are particularly welcome.
03 Reinforcement Learning: Theory and Practice
This track aims to delve into the theoretical foundations and practical implementations of reinforcement learning algorithms. Papers discussing new strategies, environments, and applications in various domains are encouraged.
04 Ensemble Methods in Machine Learning
This session will highlight the effectiveness of ensemble methods in improving model performance across different tasks. Researchers are invited to share insights on novel ensemble techniques and their comparative advantages.
05 Support Vector Machines: Innovations and Applications
This track will cover recent innovations in support vector machine algorithms and their diverse applications in data science. Contributions that address challenges and propose solutions in SVM implementations are particularly sought after.
06 Decision Trees and Their Variants
This session focuses on decision tree algorithms, including advancements in pruning, splitting criteria, and hybrid models. Papers that explore the interpretability and robustness of decision trees in various contexts are encouraged.
07 Clustering Techniques: New Perspectives
This track will investigate emerging clustering techniques and their applications in complex data scenarios. Contributions that provide theoretical insights or practical implementations are highly encouraged.
08 Neural Networks and Deep Learning Innovations
This session aims to showcase cutting-edge research in neural networks and deep learning architectures. Researchers are invited to present novel models, training techniques, and applications across various fields.
09 Optimization Methods in Machine Learning
This track will explore optimization techniques that enhance the performance of machine learning algorithms. Papers discussing new optimization strategies and their impact on model training are particularly welcome.
10 Model Evaluation and Benchmarking
This session focuses on methodologies for model evaluation and benchmarking in machine learning. Contributions that propose new metrics or frameworks for assessing model performance are encouraged.
11 Feature Selection and Data Preprocessing Techniques
This track will address the critical role of feature selection and data preprocessing in enhancing model performance. Researchers are invited to share innovative techniques and their implications for data-driven decision-making.