7 citations · 14 across the 11 of their papers we have counts for
12 papers
The Large Cancer Assistant (LCA): A Model-Agnostic Orchestration Framework for Scalable Clinical Decision Support in Oncology
Ghassen Marrakchi, Basarab Matei
- Objective: Multimodal deep learning models in oncology are currently limited by monolithic designs that rigidly couple data ingestion, clinical routing, and artificial intelligen…
Phase-Aware Wavelet-Based-Scattering Encoder-Decoder for Dense Predictions
Ghassen Marrakchi, Basarab Matei
Scattering transforms achieve Lipschitz stability and translation invariance, but dense prediction tasks require preserving spatial structure lost in global averaging. We propose P…
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…