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List of results
- Benchmarking Keypoint Filtering Approaches for Document Image Matching + (Benchmarking Keypoint Filtering Approaches for Document Image Matching)
- Benchmarking Vaucanson and large C++ libraries + (Benchmarking Vaucanson and large C++ libraries)
- Benchmarking of Partial Order Reduction in Spot + (Benchmarking of Partial Order Reduction in Spot)
- Binary Methods Programming: the CLOS Perspective + (Binary Methods Programming: the CLOS Perspective)
- Binary Methods Programming: the CLOS Perspective (extended version) + (Binary Methods Programming: the CLOS Perspective (extended version))
- Binary Partition Tree for Image Processing + (Binary Partition Tree for Image Processing)
- Binding a high-performance C++ image processing library to Python + (Binding a high-performance C++ image processing library to Python)
- Biological Realms in Computer Science: the Way You Don't (Want To) Think About Them + (Biological Realms in Computer Science: the Way You Don't (Want To) Think About Them)
- Bisimulation-based Reductions on TGBA + (Bisimulation-based Reductions on TGBA)
- Blockchain-Based Solution for Detecting and Preventing Fake Check Scams + (Blockchain-Based Solution for Detecting and Preventing Fake Check Scams)
- Boltzmann Machine in speaker verification + (Boltzmann Machine in speaker verification)
- Booster la généricité de Vaucanson + (Booster la généricité de Vaucanson)
- Booster les itérateurs de Vaucanson + (Booster les itérateurs de Vaucanson)
- Boosting Vaucanson + (Boosting Vaucanson)
- Boosting Vaucanson + (Boosting Vaucanson)
- Boosting Vaucanson's Iterator + (Boosting Vaucanson's Iterator)
- Boosting Vaucanson's genericity + (Boosting Vaucanson's genericity)
- Bottleneck neural networks for Speaker Recognition + (Bottleneck neural networks for Speaker Recognition)
- Braids of Partitions for the Hierarchical Representation and Segmentation of Multimodal Images + (Braids of Partitions for the Hierarchical Representation and Segmentation of Multimodal Images)
- Brain MRI Segmentation using fully convolutional network + (Brain MRI Segmentation using fully convolutional network)
- Brain MRI segmentation using mathematical morphology + (Brain MRI segmentation using mathematical morphology)