A PDF flyer is available at:
https://ieee.org.co/la-cci2024/wp-content/uploads/sites/15/2024/02/CFP-LA-CCI-2024.pdf
LA-CCI is an acronym that refers to the Latin America Conference on Computational Intelligence (CI), which currently includes correspondents in Argentina, Bolivia, Brazil, Chile, Colombia, Ecuador, Mexico, Peru, Uruguay, and Venezuela. In these Countries, there is sound research and active groups working in CI that are eager to develop the area and exchange experiences/personnel. As well as a Conference Series, LA-CCI is a structuring endeavor from LA-CIS (Latin American Computational Intelligence Society) that is encouraging research groups of these participating Countries to teams up around the exciting topic of Computational Intelligence.
Overall, the objective of LA-CCI Series is to provide a high-level international stage and forum for scientists, researchers, engineers, and educators to disseminate their latest research results and exchange views of the future research directions on Neural & Learning Systems, Fuzzy & Stochastic Modeling, Evolutionary & Swarm Computation, and their related applications. This year we will include a special topic on Social and economic development through Computational Intelligence technologies (including Ethical and Sustainable applications). Every year the LA-CCI crowd visits Latin Countries to talk about Computational Intelligence. Past previous successful editions of LA-CCI were: 2022 – Montevideo, Uruguay; 2021 – Temuco, Chile; 2019 – Guayaquil, Ecuador; 2018 – Guadalajara/Mexico; 2017 – Arequipa/Peru; 2016 – Cartagena de Indias/Colombia; 2015 – Curitiba/Brazil; and in 2014 – San Carlos de Bariloche/Argentina. Since 2016, LA-CCI is officially sponsored by the prestigious IEEE and IEEE-CIS, and always has been supported by national government and local societies. Since its inception, the local organizers of LA-CCI and Steering Committee of LA-CCI have been caring greatly about future researchers so that this year we will offer again thematic sessions, school, and discussions-panels specially tailored for them. And as an additional self-imposed responsibility, the organizers found important to gather scholars, government officials and funding agencies representatives to discuss institutional approaches, internationalization policies and funding mechanisms that could be fostering R&D in CI for Latin American Countries. The joint organization team would like to encourage the participation of established scientists, young researchers, and advanced students, not limited of Latin America Countries. It is important to notice that our Congress is organized by Latin Countries but aims at the international scientific community. Finally, it is always worth to state our main goals, namely:
To be a notch scientific forum in Latin America;
To be a regional hub of CI practitioners and professionals;
To be a privileged showcase of CI to industry;
To be a springboard for students;
To publicize CI research going on within LA-CCI Countries;
To encourage CI research links to the LA-CCI Countries;
To foster academic mobility in LA-CCI and beyond; and,
To promote Science & Culture for Latin America.
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
Tiny Machine Learning
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