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- Publication Current Trends in Blockchain Implementations on the Paradigm of Public Key Infrastructure: A Survey in IEEE Access — 1 January 2022
- Publication New Security Protocols for Offline Point-of-Sale Machines in 36th International Conference on Advanced Information Networking and Applications (AINA) — 1 January 2022
- Publication How to Boost Close-Range Remote Sensing Courses Using a Serious Game: Uncover in a Fun Way the Complexity and Transversality of Multi-Domain Field Acquisitions in Remote Sensing — 1 January 2022
- LRDE is happy to welcome a new member, Marc Plantevit — 1 January 2022
Marc Plantevit holds a PhD in Computer Science from Montpellier University and a HDR from Lyon University. Before joining EPITA Lyon and LRDE, he was an associate professor at University Claude Bernard Lyon 1 and head of the Data Mining & Machine Learning research group at LIRIS lab. His research is mainly concerned with foundation of data mining, graph mining, subgroup discovery and explainable artificial intelligence. He is also interested in the application of machine learning in wide applications such as Neuroscience (olfaction), Electricity price forecasting, recommender systems, etc.
- Publication Gradient Vector Fields of Discrete Morse Functions and Watershed-Cuts in Proceedings of the IAPR International Conference on Discrete Geometry and Mathematical Morphology (DGMM) — 31 December 2021
- Publication Residual 3D U-Net with Localization for Brain Tumor Segmentation in International MICCAI Brainlesion Workshop — 31 December 2021
- Publication AGAT: Building and Evaluating Binary Partition Trees for Image Segmentation in SoftwareX — 17 December 2021
- Publication Introducing the Boundary-Aware Loss for Deep Image Segmentation in Proceedings of the 32nd British Machine Vision Conference (BMVC) — 28 November 2021
- Publication Strong Euler Wellcomposedness in Journal of Combinatorial Optimization — 23 November 2021
- Publication Continuous Well-Composedness implies Digital Well-Composedness in n-D in Journal of Mathematical Imaging and Vision — 9 November 2021
- Another PhD student at LRDE, Thibault Buatois, who joins the Olena team. — 2 November 2021
Holding EPITA's degree with IMAGE and RDI double major, Thibault comes back to LRDE for a PhD in medical imaging. He will continue to work on medical image segmentation, using lightweight neural networks and medical knowledge as well as adding explainability to the segmentation process.
- The LRDE hosts a new PhD student, Antoine Martin, who joins the Spot team. — 18 October 2021
After completing EPITA's IMAGE and RDI double major, Antoine is back at LRDE for his PhD. Having worked on parallel algorithms for automata and model checking, then on a model checker for Go programs, he will now focus on efficient translation of industrial temporal logics to ω-automata.
- LRDE Seminar on Performance and Genericity - Scaling Optimal Transport for High Dimensional Learning — 6 October 2021
by Gabriel Peyré, CNRS and Ecole Normale Supérieure
- Publication Evaluation of Anomaly Detection for Cybersecurity Using Inductive Node Embedding with Convolutional Graph Neural Networks in Complex Network 2021 — 1 October 2021
- Publication VizNN: Visual Data Augmentation with Convolutional Neural Networks for Cybersecurity Investigation in Upper-Rhine Artificial Intelligence Symposium — 1 October 2021
- Publication A Secure Blockchain-Based Architecture for the COVID-19 Data Network in 2021 5th Cyber Security in Networking Conference (CSNet) — 1 October 2021
- LRDE’s Spot team is happy to welcome another member, Sven Dziadek, for a one-year postdoc. — 2 September 2021
Sven recently completed his PhD at Leipzig University where he considered weighted ω-automata. Weighted automata are used to describe quantitative properties of systems. At LRDE, Sven will investigate quantitative model checking and contribute to Spot.
- LRDE's Spot team hosts a new member, Uli Fahrenberg — 1 September 2021
Ulrich (Uli) Fahrenberg holds a PhD in algebraic topology from Aalborg University, Denmark. After a postdoc at Inria Rennes, followed by a position at École polytechnique, he starts now as associate professor at EPITA Rennes and will work together with LRDE’s Spot team on automata theory, concurrency theory, real-time verification, and general quantitative verification.
- Publication Towards Better Heuristics for Solving Bounded Model Checking Problems in Proceedings of the 27th International Conference on Principles and Practice of Constraint Programmings (CP'21) — 31 August 2021
- Publication VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images in Medical Image Analysis — 22 July 2021
- LRDE researcher Guillaume Tochon participates in LEMONADE project selected by ANR for a JCJC 2021 grant — 5 July 2021
The LEMONADE project (LEarning and MOdeliNg spectrAl Dynamics of satellite image time sEries) has been selected by the French National Research Agency as a research project coordinated by young researchers (JCJC). The project’s principal investigator is Lucas Drumetz (IMT-Atlantique, Lab-STICC), with Mauro Dalla Mura (Grenoble-INP, GIPSA-Lab) and Guillaume Tochon from LRDE as partners. The project will start in October 2021. The goal of this project is to learn and model, with deep neural network approaches, the spectral dynamics of satellite image time series.
- Publication Go2Pins: A Framework for the LTL Verification of Go Programs in Proceedings of the 27th International SPIN Symposium on Model Checking of Software (SPIN'21) — 8 June 2021
- Publication Vectorization of Historical Maps Using Deep Edge Filtering and Closed Shape Extraction in Proceedings of the 16th International Conference on Document Analysis and Recognition (ICDAR'21) — 17 May 2021
- Publication ICDAR 2021 Competition on Historical Map Segmentation in Proceedings of the 16th International Conference on Document Analysis and Recognition (ICDAR'21) — 17 May 2021
- Publication Revisiting the Coco Panoptic Metric to Enable Visual and Qualitative Analysis of Historical Map Instance Segmentation in Proceedings of the 16th International Conference on Document Analysis and Recognition (ICDAR'21) — 17 May 2021
- LRDE Seminar on Performance and Genericity - An Introduction to Topological Data Analysis with the Topology ToolKit — 12 May 2021
by Julien Tierny, Sorbonne Université
- Publication Learning Sentinel-2 Spectral Dynamics for Long-Run Predictions Using Residual Neural Networks in Proceedings of the 29th European Signal Processing Conference (EUSIPCO) — 4 May 2021
- Publication A Corpus Processing and Analysis Pipeline for Quickref in Proceedings of the 14th European Lisp Symposium (ELS) — 1 May 2021
- Publication A Portable, Simple, Embeddable Type System in Proceedings of the 14th European Lisp Symposium (ELS) — 26 April 2021
- Publication An Innovative and Decentralized Identity Framework Based on Blockchain Technology in 2021 11th IFIP International Conference on New Technologies, Mobility and Security (NTMS) — 1 April 2021
- LRDE Seminar on Performance and Genericity - Contributions to Boolean satisfiability solving and its application to the analysis of discrete systems — 31 March 2021
by Souheib Baarir, Université Paris VI
- Seminar on « Mathematical morphology, AI and astrometry » held at EPITA — 5 March 2021
E. Puybareau and G. Tochon from LRDE invite the Pegase team from IMCCE to present the respective themes of the two communities (image processing and AI for the former, astronomy for the latter) and to discuss their possible interactions.
- Publication Stability of the Tree of Shapes to Additive Noise in Proceedings of the IAPR International Conference on Discrete Geometry and Mathematical Morphology (DGMM) — 2 March 2021
- Publication A New Matching Algorithm between Trees of Shapes and its Application to Brain Tumor Segmentation in Proceedings of the IAPR International Conference on Discrete Geometry and Mathematical Morphology (DGMM) — 2 March 2021
- Publication An Equivalence Relation between Morphological Dynamics and Persistent Homology in n-D in Proceedings of the IAPR International Conference on Discrete Geometry and Mathematical Morphology (DGMM) — 2 March 2021
- Publication Deep Learning for Detection and Segmentation of Artefact and Disease Instances in Gastrointestinal Endoscopy in Medical Image Analysis — 24 February 2021
- Publication On Some Associations Between Mathematical Morphology and Artificial Intelligence in Proceedings of the IAPR International Conference on Discrete Geometry and Mathematical Morphology (DGMM) — 16 February 2021
- Publication Combining Deep Learning and Mathematical Morphology for Historical Map Segmentation in Proceedings of the IAPR International Conference on Discrete Geometry and Mathematical Morphology (DGMM) — 16 February 2021
- Publication Going beyond p-convolutions to learn grayscale morphological operators in Proceedings of the IAPR International Conference on Discrete Geometry and Mathematical Morphology (DGMM) — 16 February 2021
- LRDE Seminar on Performance and Genericity - Generating Posets Beyond N — 10 February 2021
by Uli Fahrenberg, Ecole Polytechnique
- Publication Blockchain-Based Solution for Detecting and Preventing Fake Check Scams in IEEE Transactions on Engineering Management — 1 January 2021
- Publication Automation of Binary Analysis: From Open Source Collection to Threat Intelligence in Proceedings of the 28th C&ESAR — 1 January 2021
- Publication Debug Packages in OpenBSD in EuroBSDCon 2021 — 1 January 2021
- Publication A blockchain-based certificate revocation management and status verification system in Computers & Security — 1 January 2021
- Publication A Machine Learning Based Splitting Heuristic for Divide-and-Conquer Solvers in Proceedings of the 26 th International Conference on Principles and Practice of Constraint Programming (CP'20) — 31 December 2020
- LRDE Seminar on Performance and Genericity - Diagnosis and Opacity in Partially Observable Systems — 16 December 2020
by Stefan Schwoon, ENS Paris-Saclay
- The LRDE hosts a new member, Baptiste Esteban, who joins the Olena team for his PhD studies. — 16 November 2020
After completing EPITA's IMAGE and RDI double major, Baptiste is back at LRDE for his PhD. Having worked on noise estimation in natural images with mathematical morphology approaches, he will now focus on how to conciliate genericity and performance of image processing algorithms in dynamic contexts, especially noise estimation as a validation framework.
- Publication A Global Benchmark of Algorithms for Segmenting the Left Atrium from Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging in Medical Image Analysis — 10 November 2020
- Publication PAIP 2019: Liver Cancer Segmentation Challenge in Medical Image Analysis — 10 November 2020
- Publication Do not Treat Boundaries and Regions Differently: An Example on Heart Left Atrial Segmentation in Proceedings of the 25th International Conference on Pattern Recognition (ICPR) — 2 November 2020