ISCMI 2024 | Melbourne, Australia

ISCMI 11th Event

Call for Papers

Track 1: Artificial Intelligence and Machine Learning
               Track Chairs: Mohammed El-Abd, American University of Kuwait, Kuwait
                                          Marde Helbig, Griffith University, Australia
                                          Efrén Mezura-Montes, University of Veracruz, Mexico
                                          Mukesh Prasad, University of Technology Sydney, Australia
                                          Ka Chun Wong, City University of Hong Kong, Hong Kong
                                          Shankai Yan, Hainan University, China
                                          Thomas Hanne, University of Applied Sciences and Arts Northwestern Switzerland, Switzerland
                                          Beligiannnis Grigorios, University of Patras, Greece

Track 2: Data Mining and Knowledge Discovery
                Track Chairs: Monica Chis, Freelance IT Consultant & Trainer, Romania
                                          Xiangtao Li, Jilin University, China
                                          Ka Chun Wong, City University of Hong Kong, Hong Kong
                                          Shankai Yan, Hainan University, China
                                          Thomas Hanne, University of Applied Sciences and Arts Northwestern Switzerland, Switzerland

Track 3: Probabilistic Reasoning and Uncertainty
                Track Chair: Ka Chun Wong, City University of Hong Kong, Hong Kong

Track 4: Fuzzy Systems and Optimization
               Track Chair: Oscar Castillo, Tijuana Institute of Technology, Mexico
                                        Thomas Hanne, University of Applied Sciences and Arts Northwestern Switzerland, Switzerland

Topics of interest for submission include, but are not limited to:

1. Artificial Intelligence and Machine Learning
Artificial Intelligence
Cognitive Science
Computational Intelligence
Evolutionary Computation
Fuzzy Systems
Genetic Algorithms
Human-Machine Interaction
Intelligent Systems
Knowledge Discovery
Machine Learning
Natural Language Processing
Neural Networks
Ontology-based Intelligent Systems
Reinforcement Learning
Swarm Intelligence

2. Data Mining and Knowledge Discovery
Automatic Annotation
Bioinformatics and Biological Computing
Data Fusion
Data Mining and Data Fusion
Knowledge Discovery
Multimedia Mining
Web Mining

3. Probabilistic Reasoning and Uncertainty
Associative Memory
Computational Intelligence in Bioinformatics and Computational Biology
Connectionism
DNA Computing
Emotional Intelligence
Evaluation and Refinement of Intelligent Systems
Feature Extraction
Interval Computation
Learning and Memory
Logical and Probabilistic Inference
Neuro-fuzzy Systems
Particle Swarm Optimization
Pattern Recognition
Probabilistic Reasoning
Rough Sets
Syntactic and Semantic Processing
Uncertain Reasoning

4. Fuzzy Systems and Optimization
Fuzziness in Chaotic Systems
Fuzziness in Multi-Agent Systems
Fuzzy Aggregation Techniques
Fuzzy Decision Making
Fuzzy Inference
Fuzzy Logic and Systems
Fuzzy Mathematics
Fuzzy Optimisation
Fuzzy Reconfigurable Systems
Fuzzy Systems and Hardware

5. Intelligent Control and Robotics
Ant Colony Optimization and Swarm Intelligence
Automatic Reasoning
Case-Based and Temporal Reasoning
Distributed Artificial Intelligence
Evolutionary Optimization
Firefly Algorithm
Fuzzy Control
Intelligent Control
Intelligent Distributed Sensor Networks
Intelligent Hybrid Systems
Intelligent Image Processing
Intelligent Measurement
Intelligent Signal Processing
Mechatronics
Multi-Agent Systems
Robotic Technologies
Rough Sets
Spatio-Temporal Reasoning
Statistical and Structural Pattern Recognition
Support Vector Machines

6. Computer Vision and Information Retrieval
Computer Vision Systems
Intelligent Information Retrieval
Intelligent Information Systems
Modeling the Real World through Contexts