Paper Submission

We invite authors to submit high-quality full papers reporting original and novel research results on all the above topics. Papers must be written in Spanish, Portuguese or English, unpublished and not submitted elsewhere. Full papers must be formatted as the standard IEEE double-column conference template and submitted exclusively using the link https://easychair.org/conferences/?conf=ieeecolcaci2022. Maximum 6 pages are allowed for each paper, including all illustrations and references.

Topics (but not limited to)

Neural Networks and Learning Machines

Cognitive models
Neural control and planning
Self-organization
Deep learning
Neural networks theory
Bayesian networks
Bayesian learning and approximate inference Kernel methods
Generative models
Information theoretic learning
Reinforcement learning
Feature extraction and manifold learning Data mining
Pattern recognition and machine learning

Evolutionary and Swarm Algorithms

Memetic and collective intelligence
Artificial Immune Systems
Metaheuristics and hyper-heuristics
Ant colony for neural networks optimization
Bio-inspired computing and Evolutionary algorithms
Chaos theory in genetic algorithms
Genetic fuzzy systems
Genetic neural systems
Multi-objective optimization
Hybrid optimization techniques
Hybrid intelligent systems for pattern recognition
Nature-inspired smart hybrid systems
Neuro-Fuzzy-Genetic approaches
Neural Agents

Fuzzy Sets and Systems

Fuzzy control, robotics, sensors, hardware, and architectures
Fuzzy data analysis
Fuzzy clustering
Classification and pattern recognition
Fuzzy systems with big data and cloud computing
Fuzzy systems design and optimization
Fuzzy decision analysis
Fuzzy logic and its application in Industrial engineering
Fuzzy modelling, identification and fault detection
Fuzzy information processing
Fuzzy web engineering
Fuzzy image, speech and signal processing
Fuzzy sets and soft computing in social sciences
Fuzzy logic applications in civil engineering, geographical information systems

Other Applications of Computational Intelligence

Industry 4.0
Robotics
Internet of things
Artificial Intelligence
Biomedical engineering applications
Image and signal processing
Natural language processing
Big data and scalable algorithms/applications
Smart grid applications
Intelligent transportation
Smart traffic system operations
Bioinformatics
Brain computer interfaces
Neurosciences
Neural hardware
Education