ICMLPR 2027: 21. International Conference on Machine Learning and Pattern Recognition

July 15-16, 2027 in Stockholm, Sweden

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Conference Code: 27SEST07ICMLPR001

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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 Pattern Recognition 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 Pattern Recognition. 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 Pattern Recognition.

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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Machine Learning and Pattern Recognition are cordially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

21. International Conference on Machine Learning and Pattern Recognition has teamed up with the Special Journal Issue on Machine Learning and Pattern Recognition. 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.

Application Forms

Selected Papers

Smart Agriculture in Iran: Background, Necessities, Challenges and Solutions for Establishment
Hassan Masoumi
An Approach to Control Electric Automotive Water Pumps Deploying Artificial Neural Networks
Gabriel S. Adesina, Ruixue Cheng, Michael Short, Geetika Aggarwal
Artificial Intelligence in Management Simulators
Nuno Biga
Exploring the Feasibility of Utilizing Blockchain in Cloud Computing and AI-Enabled Building Information Modeling for Enhancing Data Exchange in Construction Supply Chain Management
Tran Duong Nguyen, Marwan Shagar, Qinghao Zeng, Aras Maqsoodi, Pardis Pishdad, Eunhwa 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
Identifying Autism Spectrum Disorder Using Optimization-Based Clustering
Sharifah Mousli, Sona Taheri, Jiayuan He
Advanced Convolutional Neural Network Paradigms-Comparison of VGG16 with Resnet50 in Crime Detection
Taiwo. M. Akinmuyisitan, John Cosmas
Design of a Computer Vision Based Exercise Video Game for Senior Citizens
June Tay, Ivy Chia
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
PredictionSCMS: The Implementation of an AI-Powered Supply Chain Management System
Ioannis Andrianakis, Vasileios Gkatas, Nikos Eleftheriadis, Alexios Ellinidis, Ermioni Avramidou
Emerging Technology for 6G Networks
Yaseein S. Hussein, Victor P. Gil Jiménez, Abdulmajeed Al-Jumaily
AI-Driven Cloud Security: Proactive Defense Against Evolving Cyber Threats
Ashly Joseph
Safe and Efficient Deep Reinforcement Learning Control Model: A Hydroponics Case Study
Almutasim Billa A. Alanazi, Hal S. Tharp

Conference venue information will be released soon.

Machine Learning Methods and Technologies
Artificial neural networks
Bayesian networks
Case-based reasoning
Clustering
Computational models of human learning
Computational learning theory
Cooperative learning
Decision tree learning
Discovery
Ensemble methods
Inductive logic programming
Information retrieval and learning
Instance based learning
Kernel methods
Knowledge base refinement
Knowledge intensive learning
Machine learning of natural language
Meta learning
Multi-agent learning
Multi-strategy learning
Planning and learning
Prediction of complex structures
Regression
Reinforcement learning
Rule learning
Statistical approaches
Semi-supervised learning
Unsupervised learning
Vision and learning

Pattern Recognition and Basic Technologies
Statistical Pattern Recognition
Structural and Syntactic Pattern Recognition
Neural Networks
Machine Learning and Data Mining
Artificial Intelligence and Symbolic Learning
Classification and Clustering
Feature Selection, Dimensionality Reduction, Manifold Learning
Kernel Methods and Support Vector Machines
Invariance in Recognition
Multiresolution Techniques
OCR, Document Analysis and Understanding
Information Retrieval

Pattern Recognition and Computer Vision
Sensors and Early Vision
Color and Texture
Segmentation and Grouping
Motion and Tracking
Stereo and Structure from Motion
Image-Based Modeling
Illumination and Reflectance Modeling
Shape Representation
Object Recognition
Video Analysis and Event Recognition
Face and Gesture
Statistical Methods and Learning
Performance Evaluation
Medical Image Analysis
Image and Video Retrieval
Applications

Computer Vision and Image Analysis
Active Vision
Early Vision
Feature Extraction
Motion Analysis
Representation
Recognition (2D and 3D)
Texture and Colour
Scene Understanding
Segmentation
Shape from X
Visual Navigation

Abstracts/Full-Text Paper Submission Deadline		February 13, 2026
Notification of Acceptance/Rejection		February 27, 2026
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline		June 14, 2027
Conference Dates		July 15-16, 2027