Conference Information

IWOBI 2020: IEEE International Work Conference on Bioinspired Intelligence

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Submission Date:
2020-07-31 Extended
Notification Date:
2020-09-09
Conference Date:
2020-10-21
Location:
San Jose, Costa Rica
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Call For Papers

IWOBI 2020 (IEEE International Work Conference on Bioinspired Intelligence) is an academic conference held in San Jose, Costa Rica on 2020-10-21. The paper submission deadline is 2020-07-31 (extended). Acceptance notifications are sent on 2020-09-09.

The topics of interest of the IWOBI 2020 conference include, but are not limited to: Optimization and metaheuristic Biomathematics and Biostatistics Numerical Methods and Differential equations modeling Pattern Recognition and Classification Machine learning and Computational Intelligence Techniques Robotics Signal Processing and Analysis Computer vision Intelligent Networks Bioinformatics Computational anatomy Natural sounds and Speech Recognition Models of biological learning Brain - machine interfaces Speech and handwriting recognition Intelligent healthcare sytems Parallel Algorithms Parallel Programming Techniques Large Scale Distributed Systems High Performance Applications and Tools Multicore Architectures and Accelerators Grid and Cloud Computing, and Federations HPC Infrastructure and Datacenters Scientific and Industrial Computing Big data, Data Management and Visualization Dynamic models of metabolic, signaling and gene expression networks, Flux Balance Analysis Improvements in genome assembly Biological network reconstruction and analysis Biomarker discovery and Disease classification Next - generation sequencing, copy number and gene expression analysis, Proteomics, Pharmacogenomics, epigenomics & other omics, Functional genomics Molecular evolution and phylogeny Protein folding and Protein docking Translational bioinformatics and Immunoinformatics Microbiomes applied to the field of conservation biology, disease and health Metagenomics of unusual environments Applications of transcriptomics to study genome evolution and adaptation
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