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 Learning Theory
aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of
Learning Theory.
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 Learning Theory.
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Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or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 Learning Theory 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 Learning Theory has teamed up with the Special Journal Issue on
Learning Theory.
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
-
Dental Students’ Attitude towards Problem-Based Learning before and after Implementing 3D Electronic Dental Models
Hai Ming Wong, Kuen Wai Ma, Lavender Yu Xin Yang, Yanqi Yang
-
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
-
Impact of Similarity Ratings on Human Judgement
Ian A. McCulloh, Madelaine Zinser, Jesse Patsolic, Michael Ramos
-
A Case Study on How Outreach Programmes Form and Develop the Biomedical Engineering Community in Hong Kong
Sum Lau, Wing Chung Cleo Lau, Wing Yan Chu, Long Ching Ip, Wan Yin Lo, Jo Long Sam Yau, Ka Ho Hui, Sze Yi Mak
-
Identifying Autism Spectrum Disorder Using Optimization-Based Clustering
Sharifah Mousli, Sona Taheri, Jiayuan He
-
Contextual SenSe Model: Word Sense Disambiguation Using Sense and Sense Value of Context Surrounding the Target
Vishal Raj, Noorhan Abbas
-
Bridge Health Monitoring: A Review
Mohammad Bakhshandeh
-
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
-
Privacy Concerns and Law Enforcement Data Collection to Tackle Domestic and Sexual Violence
Francesca Radice
-
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
-
Attention Multiple Instance Learning for Cancer Tissue Classification in Digital Histopathology Images
Afaf Alharbi, Qianni Zhang
-
PredictionSCMS: The Implementation of an AI-Powered Supply Chain Management System
Ioannis Andrianakis, Vasileios Gkatas, Nikos Eleftheriadis, Alexios Ellinidis, Ermioni Avramidou
-
Safe and Efficient Deep Reinforcement Learning Control Model: A Hydroponics Case Study
Almutasim Billa A. Alanazi, Hal S. Tharp
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.
Analysis of learning algorithms and their generalization ability
Analysis of learning in related fields: natural language processing, neuroscience, bioinformatics, privacy and security, machine vision, data mining, information retrieval
Bayesian analysis
Boolean function learning
Computational complexity of learning
Design and analysis of learning algorithms and their generalization ability
High dimensional and non-parametric empirical inference, including sparsity methods
Inductive inference
Interactive learning
Kernel methods
Learning in games, multi-agent learning
Learning in other settings: E.g. social, economic, and game-theoretic
Learning in planning and control, including reinforcement learning
Learning with additional constraints: E.g. privacy, time or memory budget, communication
Mathematical analysis of learning in related fields, e.g., game theory, natural language processing, neuroscience, bioinformatics, privacy and security, machine vision, data mining, information retrieval
Online learning
On-line learning and relative loss bounds
Optimization procedures for learning
Planning and control, including reinforcement learning
Statistical mechanics of learning systems
Unsupervised, semi-supervised learning, and clustering
| Abstracts/Full-Text Paper Submission Deadline |
|
November 28, 2024 |
| Notification of Acceptance/Rejection |
|
December 12, 2024 |
| Final Paper (Camera Ready) Submission & Early Bird Registration Deadline |
|
November 19, 2024 |
| Conference Dates |
|
December 30-31, 2024 |
