General Information

Special session proposals are invited to the 2018 IEEE WCCI. Proposals should include the title, aim and scope, list of main topics, and the names and a short biography of the organizers.

All special sessions proposals should be submitted to the following Special Sessions Chairs.

IJCNN-1 Non-iterative Approaches in Learning
IJCNN-2 Special Session on Machine Learning and Deep Learning Methods applied to Vision and Robotics (MLDLMVR)
IJCNN-3 Complex-Valued and Quaternionic Neural Networks
IJCNN-4 Special Session on Deep Neural Audio Processing
IJCNN-5 Data Driven Approach for Bio-medical and Healthcare
IJCNN-6 Feature Extraction and Learning on Image and Text Data
IJCNN-7 Advances in Reservoir Computing
IJCNN-8 Empowering Deep Learning Models
IJCNN-09 Spiking Neural Networks (SNN)
IJCNN-10 Deep Learning for Structured and Multimedia Information
IJCNN-11 Cognition and Development
IJCNN-12 Biologically Inspired Computational Vision
IJCNN-13 Advanced Machine Learning Methods for Large-scale Complex Data Environment
IJCNN-14 Parallelism in Machine Learning: Theory and Applications
IJCNN-15 Intelligent Power Systems
IJCNN-16: Hybrid Neural Intelligent Models and Applications
IJCNN-17 Concept drift, domain adaptation & learning in dynamic environments
IJCNN-18 Learning from Big Graph Data: Theory and Applications
IJCNN-19 Advanced Cognitive Architectures for Machine Learning
IJCNN-20 Neurocomputation and Cognition
IJCNN-21 Deep Reinforcement Learning
IJCNN-22 Ordinal and Monotonic Classification
IJCNN-23 Deep Learning and Reinforcement Learning for Games
IJCNN-24 Neural Techniques for Artificial and Natural Locomotions
IJCNN-25 Multi-agent Reinforcement Learning and Adaptive Dynamic Programming Designs
IJCNN-26 Data Mining and Knowledge Discovery in Cyber-Physical Systems
IJCNN-27 Extreme Learning Machines
IJCNN-28 Adversarial machine learning in information security
IJCNN-29 Machine Learning for Massive and Complex Urban Data Analytics
IJCNN-30 Machine learning for big data: scalable algorithms and applications
IJCNN-31 Neural Models for Behavior Recognition

FUZZ-IEEE-01 Linguistic Summarization and Description of Data
FUZZ-IEEE-02 Recent trends in many-valued logic and fuzziness
FUZZ-IEEE-03 Fuzzy Models for Data Science and Big Data
FUZZ-IEEE-04 Fuzzy Logic Systems for Security and Forensics
FUZZ-IEEE-05 Fuzzy Brain Analysis and Interfaces
FUZZ-IEEE-06 Type-2 Fuzzy Sets in Emerging Systems
FUZZ-IEEE-07 Fuzzy Systems for Data Mining: data wrangling, machine learning and real-world applications
FUZZ-IEEE-08 Fuzzy Interpolation
FUZZ-IEEE-09 Software for Soft Computing
FUZZ-IEEE-10 Methods and Applications of Fuzzy Cognitive Maps
FUZZ-IEEE-11 Interpretable Deep Learning Classifiers
FUZZ-IEEE-12 Handling Uncertainties in Big Data by Fuzzy Systems
FUZZ-IEEE-13 Advances to Type-2 Fuzzy Logic Control
FUZZ-IEEE-14 Special Session on “Fuzzy Systems in Renewable Energy and Smart Grid”
FUZZ-IEEE-15 Special Session on Complex Fuzzy Sets and Logic
FUZZ-IEEE-16 Uncertainty in Learning from Data
FUZZ-IEEE-17 Inter-Relation Between Interval and Fuzzy Techniques
FUZZ-IEEE-18 Advances and applications of Rough sets and Fuzzy Rough
FUZZ-IEEE- 19 Ambient Computational Intelligence
FUZZ-IEEE- 20 Recent Advances in Fuzzy Control System Design and Analysis
FUZZ-IEEE- 21 Human Symbiotic Systems
FUZZ-IEEE- 22 Predictive models for medical applications of Fuzzy Logic
FUZZ-IEEE- 23 Fuzzy Cognitive Maps theory
FUZZ-IEEE- 24 The Theory of Type-2 Fuzzy Sets and Systems
FUZZ-IEEE- 25 Innovations in Fuzzy Inference
FUZZ-IEEE- 26 Cyber Security and Fuzzy Logic
FUZZ-IEEE- 27 Type-2 Fuzzy Sets and Systems Applications (T2-A)
FUZZ-IEEE- 28- Business Processes and Fuzzy Logic (BPFL)
FUZZ-IEEE- 29 Fuzzy Technologies for Web Intelligence and Internet of Things
FUZZ-IEEE- 30 Recent Advances in Lattice Computing
FUZZ-IEEE- 31 Adaptive fuzzy control for nonlinear systems