5 citations · 6 across the 3 of their papers we have counts for
4 papers
CADMR: Cross-Attention and Disentangled Learning for Multimodal Recommender Systems
Yasser Khalafaoui, Martino Lovisetto, Basarab Matei +1
The increasing availability and diversity of multimodal data in recommender systems offer new avenues for enhancing recommendation accuracy and user satisfaction. However, these sy…
Deep Matrix Factorization with Adaptive Weights for Multi-View Clustering
Yasser Khalafaoui, Basarab Matei, Martino Lovisetto +1
Recently, deep matrix factorization has been established as a powerful model for unsupervised tasks, achieving promising results, especially for multi-view clustering. However, exi…
Joint Multi-View Collaborative Clustering
Yasser Khalafaoui, Basarab Matei, Nistor Grozavu +1
Data is increasingly being collected from multiple sources and described by multiple views. These multi-view data provide richer information than traditional single-view data. Fusi…
Multi-modal Multi-view Clustering based on Non-negative Matrix Factorization
Yasser Khalafaoui, Nistor Grozavu, Basarab Matei +1
By combining related objects, unsupervised machine learning techniques aim to reveal the underlying patterns in a data set. Non-negative Matrix Factorization (NMF) is a data mining…