| # |
Title |
Contact email |
Assigned to |
| S000 |
Constrained Real-Parameter Optimization |
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IEEE CEC |
| S001 |
Large Scale Global Optimization |
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IEEE CEC |
| S002 |
Emerging Neuromorphic Hardware Architectures and Applications |
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|
IJCNN |
| S003 |
Evolutionary Computation in Expensive Optimization Problems |
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IEEE CEC |
| S004 |
Advances in Computational Intelligence for Brain-Computer Interfaces |
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IJCNN |
| S005 |
Evolving Fuzzy Systems |
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FUZZ-IEEE |
| S006 |
Computational Intelligence for Privacy and Security (CIPS) |
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|
IJCNN |
| S007 |
Evolutionary Computer Vision |
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|
IEEE CEC |
| S008 |
Parameter Setting in Evolutionary Algorithms |
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|
IEEE CEC |
| S009 |
Fuzzy Systems: Control and Hardware |
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|
FUZZ-IEEE |
| S010 |
Hybrid Neural Intelligent Systems |
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|
IJCNN |
| S011 |
Aggregation operators in image processing |
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|
FUZZ-IEEE |
| S012 |
Nature-Inspired Constrained Optimization |
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IEEE CEC |
| S013 |
Niching Methods for Multimodal Optimization |
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|
IEEE CEC |
| S014 |
Parallel Biologically-inspired Optimisation |
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|
IEEE CEC |
| S015 |
Hybrid Evolutionary Algorithms, Hyper-heuristics and Memetic Computation |
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|
IEEE CEC |
| S016 |
Computational Intelligence for Bioinformatics |
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|
ALL |
| S017 |
Interactive Evolutionary Computation |
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|
IEEE CEC |
| S018 |
Bio-Inspired Self-Organizing Multi-Agent Systems |
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|
IEEE CEC |
| S019 |
Applications and Parctical Aspects of Type-2 Fuzzy Systems |
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|
FUZZ-IEEE |
| S020 |
Aggregation operators: theory and practice |
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|
FUZZ-IEEE |
| S021 |
Type-2 Fuzzy Logic Theory |
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|
FUZZ-IEEE |
| S022 |
Interpretable Fuzzy Systems: Theory and Applications |
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|
FUZZ-IEEE |
| S023 |
Theoretical Foundations of Evolutionary Computation |
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|
IEEE CEC |
| S024 |
Computing with Words |
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|
FUZZ-IEEE |
| S025 |
Brain and Learning |
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|
FUZZ-IEEE |
| S026 |
Evolutionary Multiobjective Optimization |
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|
IEEE CEC |
| S027 |
Ant Colony Optimization |
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|
IEEE CEC |
| S028 |
Fuzzy Interpolation |
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|
FUZZ-IEEE |
| S029 |
Medical and Educational Applications of Computer Intelligence to Benefit Society |
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|
ALL |
| S030 |
Biologically Inspired Computational Vision |
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|
IJCNN |
| S031 |
Advances in Kernel Methods: Theory and Applications |
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|
IJCNN |
| S032 |
Intelligent Agents |
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|
FUZZ-IEEE |
| S033 |
Data mining ensemble methods and their applications |
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|
IJCNN |
| S034 |
Computational Intelligence on Consumer Games and Graphics Hardware CIGPU-2010 |
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|
ALL |
| S035 |
Evolutionary Computation in Aerospace Sciences |
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|
IEEE CEC |
| S036 |
Intelligent Measurement System |
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|
IJCNN
FUZZ-IEEE |
| S037 |
Computational Intelligence Approaches to Process Mining and Optimisation |
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|
IEEE CEC |
| S038 |
Evolutionary Algorithms with Statistical & Machine Learning Techniques |
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|
IEEE CEC |
| S039 |
Complex-Valued Neural Networks |
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|
IJCNN |
| S049 |
Fuzzy Knowledge Management and Discovery |
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|
FUZZ-IEEE |
| S057 |
Evolutionary Computation in Dynamic and Uncertain Environments (ECiDUE) |
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|
IEEE CEC |
| S058 |
Fuzzy Ontologies and Fuzzy Markup Language Applications |
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|
FUZZ-IEEE |
| S059 |
Natural computation applied to power system |
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|
IEEE CEC |
| S060 |
Human Symbiotic System |
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|
FUZZ-IEEE |
| S061 |
Recent Advances on FUZZ-IEEE Robotic |
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|
FUZZ-IEEE |
| S062 |
Uncertainty and the Semantic Web |
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|
FUZZ-IEEE |
| S064 |
Software packages based on evolutionary computation and other metaheuristics |
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|
IEEE CEC |
| S066 |
Recent Advances in Dynamic Clustering (RADC) |
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|
FUZZ-IEEE |
| S068 |
Fuzzy Sets and Systems and the «Soft Sciences» |
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|
FUZZ-IEEE |
| S069 |
Quantum Computing |
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|
IEEE CEC |
| S071 |
Evolutionary Algorithms for Defense Applications |
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|
IEEE CEC |
| S072 |
Linguistic Description of Visual Information |
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|
FUZZ-IEEE |
| S073 |
Computational Intelligence in Machine Learning |
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|
FUZZ-IEEE |
| S075 |
Handling Nonlinearities in Clustering Kernel Tricks, Semi-Supervision, and Other Techniques |
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|
FUZZ-IEEE |
| S077 |
Hardware Aspects of Bio-Inspired Architectures and Systems |
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|
IEEE CEC |
| S080 |
Grammars in Natural Computing |
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|
IEEE CEC |
| S082 |
Commercialization of CI Research Outcomes |
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|
ALL |
| S087 |
Evolutionary Computation for Knowledge Discovery |
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|
FUZZ-IEEE
IEEE CEC |
| S088 |
Computer Graphics |
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|
IEEE CEC |
| S089 |
Evolutionary Robotics |
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|
IEEE CEC |
| S091 |
Autonomous Dimensionality Reduction |
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|
IJCNN |
| S092 |
Rough sets and extensions |
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|
FUZZ-IEEE |
| S093 |
Computational Intelligence in Forecasting |
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|
ALL |
| S095 |
Co-evolution in Strategic Games |
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|
IEEE CEC |
| S096 |
Reservoir Computation |
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|
IJCNN |
| S097 |
Complex and autonomous systems test and evaluation |
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|
IEEE CEC |
| S098 |
Inter-Relation Between Interval and FUZZ-IEEE Techniques |
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|
FUZZ-IEEE |
| S099 |
Computational Intelligence for Activity Recognition from Sensed Data |
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|
FUZZ-IEEE |
| S100 |
convergence of computational intelligence and emotional intelligence |
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|
IJCNN |
| S101 |
Multi-Sensor Systems for Security and Defence Applications |
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|
IJCNN |
| S106 |
Special Session on Advances in Clustering methods and their applications |
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|
ALL |
| S107 |
Intelligent Physical Context Understanding and Social Networking on Mobile Platforms |
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|
ALL |
| S108 |
Image Understanding – an important step toward Visual Cognition |
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|
IJCNN |
| S110 |
Toward an insect brain computational model |
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|
IJCNN |
| S111 |
Active and Autonomous Learning (AAL) |
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|
IJCNN |
| S112 |
Computational Intelligence for Artificial Sensing: Olfaction and Touch |
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|
IJCNN |
| S114 |
Radial Basis Function Networks: New trends in design and applications |
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|
IJCNN |
| S115 |
Computational Intelligence in Computer Vision |
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|
ALL |
| S116 |
Recent Advances in Hybrid FUZZ-IEEE-Model-Based Control Systems |
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|
FUZZ-IEEE |
| S117 |
Evolutionary Computation in Scheduling |
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|
IEEE CEC |
| S118 |
Multimedia Information Retrieval |
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|
ALL |
| S119 |
Empirical Mode Decomposition (EMD) – Theory and Applications |
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|
IJCNN |
| S120 |
Learning to Recognize Objects |
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|
IJCNN |
| S121 |
Differential Evolution |
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|
IEEE CEC |
| S122 |
Computational Intelligence and Cyber-infrastructure for Complex System Modelling and Knowledge Discovery in Medical Informatics and e-Health |
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|
ALL |
| S123 |
Evolutionary Fuzzy Systems |
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|
FUZZ-IEEE |
| S124 |
Advanced control and observation of Takagi-Sugeno Fuzzy and Fuzzy-polynomial systems |
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|
FUZZ-IEEE |
| S125 |
Advances in learning and application of spiking neural networks |
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|
IJCNN |
| S129 |
Adaptive Intelligent Control and Its Applications |
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|
FUZZ-IEEE |
| S130 |
Neural Modeling Fields: foundations and applications |
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|
IJCNN |
| S131 |
Concept Drift and Learning in Nonstationary Environments |
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|
IJCNN |
| S132 |
Computational Finance and Economics |
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|
FUZZ-IEEE
IEEE CEC |
| S133 |
Designing Evolutionary Processes |
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|
IEEE CEC |
| S134 |
Intelligent Sensor Networks |
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|
ALL |
| S136 |
Image Characterization and Feature Extraction |
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|
ALL |
| S137 |
Uncertainty Modelling and Hierarchical Fuzzy Systems |
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|
FUZZ-IEEE |
| S138 |
Autonomous Adaptive Systems |
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|
IJCNN |
| S139 |
Awareness and cognition: modeling and applications |
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|
IJCNN
FUZZ-IEEE |
| S140 |
Perception Algorithms and Systems for Autonomous Driving |
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|
IJCNN |
| S141 |
Intelligent systems in automotive applications |
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|
IJCNN |
| S142 |
Organic Computing |
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|
IJCNN |
| S143 |
Motion Analysis |
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|
ALL |
| S144 |
Chaotic Neural Networks and Neurocomputing Models with Rich Dynamics |
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|
IJCNN |
| S146 |
Neural Models of Creativity |
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|
IJCNN |
| S147 |
Approximate Dynamic Programming with Feedback Control Applications |
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|
IJCNN |
| S148 |
Soft Computing in Medical Imaging |
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|
ALL |
| S149 |
Mental Architecture and Representation |
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|
IJCNN |
| S150 |
Computational Intelligence in Games |
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|
IEEE CEC |
| S151 |
Computational Intelligence for Learning Morphology and Control |
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|
IEEE CEC |
| S152 |
Machine Learning for Renewable Energy Applications |
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|
IJCNN |
| S154 |
Computational Intelligence in Biomedical Sciences and DNA Forensics |
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|
IEEE CEC |