Conference Information

ICML' 2024: International Conference on Intelligent Communication and Machine Learning

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Submission Date:
2024-09-30
Notification Date:
2024-10-07
Conference Date:
2024-11-22
Location:
Tokyo, Japan
Viewed: 7012   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

43.6 / 100
Ranked #3,431 of 5,682 conferences · Top 61%

#421 of 739 in Artificial Intelligence & Machine Learning #537 of 864 in Networks & Communications

Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
8
Public record completeness (15%)
35

Inputs used: Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 25% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-19

Call For Papers

ICML' 2024 (International Conference on Intelligent Communication and Machine Learning) is an academic conference held in Tokyo, Japan on 2024-11-22. The paper submission deadline is 2024-09-30. Acceptance notifications are sent on 2024-10-07.

Intelligent and Semantic Communications Source and Channel Coding for Semantic Communications Age of Information and Data Semantics Resource Management in Semantic Communications Networks Communication and Control Co-Design User Privacy and Security Energy Aspects for Semantic Communications Semantic Communications in Emerging Wireless Networks Integration of Data Semantics with Network Softwarization Telecommunication Systems Adaptive communications Channel estimation Cognitive vehicular ad hoc networks Cooperative communications Channel coding Interference management Massive mimo systems Modulation techniques Mimo systems Novel applications enabled by telecommunication networking systems Ofdm communications Power line communication Satellite communication Spread-spectrum communications Uwb communications Wireless broadcasting Wireless communication Next Generation Communication And Networking Networking for Cloud and Fog computing Mobile Cloud Computing (MCC) and Multi-access Edge Computing (MEC) Data center network architectures and performance Integrated networking, storage, and computing Networking flying vehicles such as UAVs and drones Networked and Cloud Robotics Next-generation access networks Next-generation flow management: resource sharing, congestion control Converged networks and applications Internet of Things (IoT), M2M, D2D, MTC Future Internet and next-generation networking architectures Mobile security: device, application, and data Optical Communication and Machine Learning Optical Communication Technology and Applications Optical Communication Systems and Networks Optical signal processing Fiber optic communication Optical integration technology Space optical communication The Application of Machine Learning in Optical Communication Intelligent Optical Network Optical communication signal processing Performance evaluation of optical communication Optical communication security Adaptive learning of optical communication systems Optical Communication and Quantum Computing Optical Communication and Internet of Things Optical Communication and Artificial Intelligence Application examples of machine learning algorithms in optical communication Integration of optical communication and machine learning software and hardware Optical communication standards and protocols Deep Learning and Machine Learning Learning Theory Learning Robots Artificial Neural Network (ANN) Learning/Adaption of Recognition and Perception Least-squares SVM (LS-SVM) Machine Learning for Signal Processing Machine Learning Methods Kernel Design Kernel Methods and Graphical Models Learning and Adaptive Control Learning for Handwriting Recognition Learning in Process Automation Learning of Action Patterns Learning of Appropriate Behavior Neural Methods Neural Networks Sparsity-Aware Learning Subspace/Manifold Learning Support Vector Machines (SVM) Learning for Handwriting Recognition Twin SVM (TWSVM) Network Analysis and Intrusion Detection Bayesian and Distributed Learning Machine Learning and Intelligent Communications Intelligent cooperative networks Intelligent massive MIMO communication systems Intelligent positioning and navigation systems Intelligent cooperative/distributed coding Intelligent radar signal processing & satellite communications Machine learning algorithms & cognitive radio networks Machine learning and information processing in wireless sensor networks Federated learning for wireless communication systems Federated learning applications Spacecraft & Space Network Pre-trained technology in communications Machine Learning & Network Security Image Processing & Pattern Recognition for Intelligent Communications Natural Language Processing for Communication Systems Multi-Modality Learning in Intelligent Communication Applications
Last updated by Dou Sun on

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