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IEEE LA-CCI 2023 : 9th IEEE Latin-American Conference on Computational Intelligence | |||||||||||||||
Link: https://la-cci.org/ | |||||||||||||||
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Call For Papers | |||||||||||||||
Attention!!! The submission deadline has been postponed to May 29th!
The IEEE Latin American Conference on Computational Intelligence 2023 aims to (1) bring together the Soft Computing community to present the latest achievements and innovations in the multiple areas of Computational Intelligence; (2) to encourage participation by young researchers and, according to the LA-CCI Manifesto, (3) to provide a high-level international forum for scientists, researchers, engineers, professionals and educators to disseminate output and exchange views of future directions on CI. LA-CCI is an IEEE international event on Computational Intelligence held in Latin America to the World. Submission Guidelines Follow this link to Submit papers to LA-CCI: https://easychair.org/my/conference?conf=lacci2023 Submission and Registration are important actions of your participation in our Congress that has to be taken separately, one after the other. IMPORTANT: Before submitting your manuscript, please use the right template (IEEE conference template), check page limits (maximum of 6 pages), avoid color images and read carefully the explanation below. The template for ALL papers are of IEEE and can be downloaded here: http://www.ieee.org/conferences_events/conferences/publishing/templates.html Our Conference has an ad hoc review process (and Program Committee) – so you should be careful with the right publicity of your work. The LA-CCI will ONLY accept articles written in English. Authors submitting to LA-CCI are implicitly acknowledging that papers will undergo stricter review criteria (including about three reviewers per paper). List of Topics I) Evolutionary & Swarm Computation: Genetic Algorithms, Genetic Programming, Artificial Immune Systems, Swarm Intelligence, Collective Intelligence, Evolvable Hardware, Bio-inspired Methods. II) Neural & Learning Systems: Neural Networks, Machine Learning, Complex Systems, Molecular and Quantum Computing, Complex Networks. III) Fuzzy & Stochastic Modeling: Fuzzy Systems, Fuzzy Control & Decision Making, Uncertainty Analysis, Rough Sets, Fractals, Multiagent Systems, Reinforcement Learning, Game Theory. IV) Social and economic development through Computational Intelligence technologies (including Ethical and Sustainable applications): CI enabled Digital Government; Privacy and security implications; Respect of human and civil rights; Social interactions, safety, responsibility, and trust; Impacts on production; Industry 4.0; Ethical, Social, Economic and Environmental Implications of CI technology; Employment, workplace, and entertainment changes. |
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