posted by user: alabarre || 5983 views || tracked by 17 users: [display]

ESA 2013 : European Symposium on Algorithms

FacebookTwitterLinkedInGoogle


Conference Series : European Symposium on Algorithms
 
Link: http://algo2013.inria.fr/esa.shtml
 
When Sep 2, 2013 - Sep 4, 2013
Where Sophia Antipolis, France
Submission Deadline Apr 22, 2013
Notification Due Jun 10, 2013
Final Version Due Jun 23, 2013
Categories    algorithms
 

Call For Papers

The European Symposium on Algorithms (ESA) is one of the premier conferences on algorithms. The symposium covers research in all aspects of the design, analysis, engineering, and application of algorithms and data structures. ESA 2013 has two tracks: the Design and Analysis Track (Track A) and the Engineering and Applications Track (Track B). ESA 2013 is organized in collaboration with the European Association for Theoretical Computer Science (EATCS) and is a part of ALGO 2013.

For organizational information, please refer to the website of ALGO 2013.

Related Resources

CTISC 2024   2024 6th International Conference on Advances in Computer Technology, Information Science and Communications (CTISC 2024) -EI Compendex
ESA 2024   32nd Annual European Symposium on Algorithms
MLANN 2024   2024 2nd Asia Conference on Machine Learning, Algorithms and Neural Networks (MLANN 2024)
ECAI 2024   27th European Conference on Artificial Intelligence
CVIPPR 2024   2024 2nd Asia Conference on Computer Vision, Image Processing and Pattern Recognition
ECML-PKDD 2024   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
DSIT 2024   2024 7th International Conference on Data Science and Information Technology (DSIT 2024)
ACM-EI/Scopus-ARAEML 2024   2024 International Conference on Advanced Robotics, Automation Engineering and Machine Learning (ARAEML 2024) -EI Compendex
CCBDIOT 2024   2024 3rd International Conference on Computing, Big Data and Internet of Things (CCBDIOT 2024)
ACM-Ei/Scopus-CMLDS 2024   2024 International Conference on Computing, Machine Learning and Data Science (CMLDS 2024)