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Sara Rabhi
Sara Rabhi
PhD, Institut Polytechnique de Paris (IPP)
Verified email at telecom-sudparis.eu
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Cited by
Cited by
Year
Transformers4rec: Bridging the gap between nlp and sequential/session-based recommendation
G de Souza Pereira Moreira, S Rabhi, JM Lee, R Ak, E Oldridge
Proceedings of the 15th ACM conference on recommender systems, 143-153, 2021
1362021
Transformers with multi-modal features and post-fusion context for e-commerce session-based recommendation
GSP Moreira, S Rabhi, R Ak, MY Kabir, E Oldridge
arXiv preprint arXiv:2107.05124, 2021
252021
Deep learning versus conventional machine learning for detection of healthcare-associated infections in French clinical narratives
S Rabhi, J Jakubowicz, MH Metzger
Methods of information in medicine 58 (01), 031-041, 2019
252019
LlamaRec: Two-stage recommendation using large language models for ranking
Z Yue, S Rabhi, GSP Moreira, D Wang, E Oldridge
arXiv preprint arXiv:2311.02089, 2023
132023
Building and Deploying a Multi-Stage Recommender System with Merlin
K Higley, E Oldridge, R Ak, S Rabhi, G de Souza Pereira Moreira
Proceedings of the 16th ACM Conference on Recommender Systems, 632-635, 2022
72022
A Diverse Models Ensemble for Fashion Session-Based Recommendation
B Schifferer, J Liu, S Rabhi, G Titericz, C Deotte, G De Souza P. Moreira, ...
Proceedings of the Recommender Systems Challenge 2022, 10-17, 2022
62022
End-to-end session-based recommendation on GPU
G de Souza Pereira Moreira, S Rabhi, R Ak, B Schifferer
Proceedings of the 15th ACM Conference on Recommender Systems, 831-833, 2021
62021
Accelerating recommender system training 15x with RAPIDS
S Rabhi, W Sun, J Perez, MRB Kristensen, J Liu, E Oldridge
Proceedings of the Workshop on ACM Recommender Systems Challenge, 1-5, 2019
62019
Temporal deep learning framework for retinopathy prediction in patients with type 1 diabetes
S Rabhi, F Blanchard, AM Diallo, D Zeghlache, C Lukas, A Berot, ...
Artificial Intelligence in Medicine 133, 102408, 2022
52022
Optimized deep learning-based multimodal method for irregular medical timestamped data
S Rabhi
Institut polytechnique de Paris, 2022
42022
Synthetic data and simulators for recommendation systems: current state and future directions
A Lesnikowski, GSP Moreira, S Rabhi, K Byleen-Higley
arXiv preprint arXiv:2112.11022, 2021
32021
Training and Deploying Multi-Stage Recommender Systems
R Ak, B Schifferer, S Rabhi, G De Souza Pereira Moreira
Proceedings of the 16th ACM Conference on Recommender Systems, 706-707, 2022
2022
Reducing the Friction for Building Recommender Systems with Merlin
S Rabhi, R Ak, M Romeijn, GDSP Moreira, BD Schifferer
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
2022
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