| 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 | 264 | 2021 |
| 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 | 113 | 2023 |
| 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 | 42 | 2019 |
| 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 | 37 | 2021 |
| 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 | 22 | 2022 |
| BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery PS John, D Lin, P Binder, M Greaves, V Shah, JS John, A Lange, P Hsu, ... arXiv preprint arXiv:2411.10548, 2024 | 16 | 2024 |
| 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 | 15 | 2022 |
| 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 | 9 | 2021 |
| LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking. ArXiv abs/2311.02089 (2023) Z Yue, S Rabhi, GDSP Moreira, D Wang, E Oldridge | 8 | 2023 |
| 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 | 7 | 2022 |
| Optimized deep learning-based multimodal method for irregular medical timestamped data S Rabhi Institut Polytechnique de Paris, 2022 | 6 | 2022 |
| 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 | 6 | 2021 |
| 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 | 6 | 2019 |
| 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 | 5 | 2022 |
| Reducing the Friction for Building Recommender Systems with Merlin S Rabhi, R Ak, M Romeijn, GSP Moreira, BD Schifferer Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | | 2022 |
| Transformers4Rec: Bridging the Gap between NLP and Sequential/Session-Based Recommendation G de Souza Pereira, S Rabhi, JM Lee, R Ak, E Oldridge | | 2021 |
| Learning the Language of Codon Translation with CodonFM S Darabi, F Cao, M Naghipourfar, S Rabhi, A Sethia, K Gion, J Grewal, ... | | |
