35 citations · 47 across the 6 of their papers we have counts for
6 papers
DeepLSH: Deep Locality-Sensitive Hash Learning for Fast and Efficient Near-Duplicate Crash Report Detection
Youcef Remil, Anes Bendimerad, Romain Mathonat +2
Automatic crash bucketing is a crucial phase in the software development process for efficiently triaging bug reports. It generally consists in grouping similar reports through clu…
Generating Physically-Consistent Satellite Imagery for Climate Visualizations
Björn Lütjens, Brandon Leshchinskiy, Océane Boulais +11
Deep generative vision models are now able to synthesize realistic-looking satellite imagery. But, the possibility of hallucinations prevents their adoption for risk-sensitive appl…
Discovering alignment relations with Graph Convolutional Networks: a biomedical case study
Pierre Monnin, Chedy Raïssi, Amedeo Napoli +1
Knowledge graphs are freely aggregated, published, and edited in the Web of data, and thus may overlap. Hence, a key task resides in aligning (or matching) their content. This task…
ZooBuilder: 2D and 3D Pose Estimation for Quadrupeds Using Synthetic Data
Abassin Sourou Fangbemi, Yi Fei Lu, Mao Yuan Xu +3
This work introduces a novel strategy for generating synthetic training data for 2D and 3D pose estimation of animals using keyframe animations. With the objective to automate the…
Anytime Discovery of a Diverse Set of Patterns with Monte Carlo Tree Search
Guillaume Bosc, Jean-François Boulicaut, Chedy Raïssi +1
The discovery of patterns that accurately discriminate one class label from another remains a challenging data mining task. Subgroup discovery (SD) is one of the frameworks that en…
On mining complex sequential data by means of FCA and pattern structures
Aleksey Buzmakov, Elias Egho, Nicolas Jay +3
Nowadays data sets are available in very complex and heterogeneous ways. Mining of such data collections is essential to support many real-world applications ranging from healthcar…