A Semi-Supervised Hybrid System to Enhance the Recommendation of Channels in Terms of Campaign ROI

Recommender Systems; Hybrid Systems; News Recommen- dation; Session-Based Recommendation; Recurrent Neural Networks.. 1 INTRODUCTION

This paper presents measurement campaign conducted in some train stations in Paris (France) in order to implement and validate a hybrid propagation model in underground railway

For a given concept, we aim to measure the degree of mastery of this concept by the learner from the activities related to the concept which he conducted in his group

As for the behavior of the hybridization strategy in the eld, for all the denitions of the blending parameter, the model actually works in RANS mode in the boundary layer and in

Flow cytometry-based quantification of receptor density in different cell lines, Figure S3: Binding of DARPins to BT-474 cells, Figure S4: Schematic representation of the

This paper presents an approach, based on system dynamics and agent-based modeling, to model the emotional state of an individual member of the network (via a

Other contributions deal with this cold start problem by using Neural Networks properties for CBF: Neural Networks are first trained to learn a feature representation from the

Furthermore, we proposed a target recognition method designed to cope with the illumination problems, the distortion of the omnidirectional image and the inherent dissimilarity