244 citations · 366 across the 25 of their papers we have counts for
5 papers · 1 filter
Improving Next-Application Prediction with Deep Personalized-Attention Neural Network
Jun Zhu, Gautier Viaud, Céline Hudelot
Recently, due to the ubiquity and supremacy of E-recruitment platforms, job recommender systems have been largely studied. In this paper, we tackle the next job application problem…
StreaMulT: Streaming Multimodal Transformer for Heterogeneous and Arbitrary Long Sequential Data
Victor Pellegrain, Myriam Tami, Michel Batteux +1
The increasing complexity of Industry 4.0 systems brings new challenges regarding predictive maintenance tasks such as fault detection and diagnosis. A corresponding and realistic…
Demystifying Drug Repurposing Domain Comprehension with Knowledge Graph Embedding
Edoardo Ramalli, Alberto Parravicini, Guido Walter Di Donato +3
Drug repurposing is more relevant than ever due to drug development's rising costs and the need to respond to emerging diseases quickly. Knowledge graph embedding enables drug repu…
Leveraging Conditional Generative Models in a General Explanation Framework of Classifier Decisions
Martin Charachon, Paul-Henry Cournède, Céline Hudelot +1
Providing a human-understandable explanation of classifiers' decisions has become imperative to generate trust in their use for day-to-day tasks. Although many works have addressed…
Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift
Etienne Bennequin, Victor Bouvier, Myriam Tami +2
Few-Shot Learning (FSL) algorithms have made substantial progress in learning novel concepts with just a handful of labelled data. To classify query instances from novel classes en…