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The LRDE was a research laboratory under the tutelage of EPITA, Graduate School of Computer Science.

It has merged with the LSE laboratory to give birth to the EPITA Research Laboratory, LRE.

This site is no longer maintained. Fresh news about the research at EPITA can be found here.

Our main areas of expertise are « Image processing and pattern recognition » and « Automata and verification » with a transverse research axis « Performance and genericity ».

Building on its solid scientific production and academic collaborations, the laboratory has industrial contracts, conducts internal research projects and participates in collaborative academic research projects.

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Publication Forecasting Electricity Prices: An Optimize Then Predict-Based Approach in Advances in Intelligent Data Analysis XXI — 10 April 2023
Publication An Experience Report on the Optimization of the Product Configuration System of Renault in 26th International Conference on Engineering of Complex Computer Systems — 3 April 2023
Publication Optimization of the Product Configuration System of Renault in SAC '23: The 38th ACM/SIGAPP Symposium on Applied Computing — 3 April 2023
Publication Modern vectorization and alignement of historical maps: An application to Paris atlas (1789-1950) — 22 March 2023
Publication Catoids and Modal Convolution Algebras in Algebra Universalis — 5 March 2023
Publication A Myhill-Nerode Theorem for Higher-Dimensional Automata in Application and Theory of Petri Nets and Concurrency (PETRI NETS) — 5 March 2023
Publication Discrete Morse Functions and Watersheds in Journal of Mathematical Imaging and Vision (Special Edition) — 1 January 2023
Publication Learning Diversity Attributes in Multi-Session Recommendations in 2022 IEEE International Conference on Big Data (Big Data) — 12 December 2022
Publication Trie-based Output Itemset Sampling in 2022 IEEE International Conference on Big Data (Big Data) — 12 December 2022
Publication Methods for Explaining Top-N Recommendations Through Subgroup Discovery in Data Mining and Knowledge Discovery — 10 December 2022