292 citations
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12 papers · 1 filter
PseudoCal: Towards Initialisation-Free Deep Learning-Based Camera-LiDAR Self-Calibration
Mathieu Cocheteux, Julien Moreau, Franck Davoine
Camera-LiDAR extrinsic calibration is a critical task for multi-sensor fusion in autonomous systems, such as self-driving vehicles and mobile robots. Traditional techniques often r…
Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation
Ling Huang, Su Ruan, Pierre Decazes +1
Single-modality medical images generally do not contain enough information to reach an accurate and reliable diagnosis. For this reason, physicians generally diagnose diseases base…
Predictive Network Configuration with Hierarchical Spectral Clustering for Software Defined Vehicles
Pierre Laclau, Stéphane Bonnet, Bertrand Ducourthial +2
The increasing connectivity and autonomy of vehicles has led to a growing need for dynamic and real-time adjustments to software and network configurations. Software Defined Vehicl…
A Constraint-based Recommender System via RDF Knowledge Graphs
Ngoc Luyen Le, Marie-Hélène Abel, Philippe Gouspillou
Knowledge graphs, represented in RDF, are able to model entities and their relations by means of ontologies. The use of knowledge graphs for information modeling has attracted inte…
A Personalized Recommender System Based-on Knowledge Graph Embeddings
Ngoc Luyen Le, Marie-Hélène Abel, Philippe Gouspillou
Knowledge graphs have proven to be effective for modeling entities and their relationships through the use of ontologies. The recent emergence in interest for using knowledge graph…
Improving Semantic Similarity Measure Within a Recommender System Based-on RDF Graphs
Ngoc Luyen Le, Marie-Hélène Abel, Philippe Gouspillou
In today's era of information explosion, more users are becoming more reliant upon recommender systems to have better advice, suggestions, or inspire them. The measure of the seman…