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IEEE LA-CCI 2024 : IEEE Latin America Conference on Computational Intelligence | |||||||||||||||
Link: https://ieee.org.co/la-cci2024/ | |||||||||||||||
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Call For Papers | |||||||||||||||
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 |
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