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Sara Rabhi

Sara Rabhi
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0  Institut Mines-Telecom50NoneFormer PhD students

Optimized deep learning-based multimodal method for irregular medical timestamped data Méthode multimodale optimisée basée sur l'apprentissage profond pour les données médicales temporelles irrégulières,
Sara Rabhi,
2022

s

Reducing the Friction for Building Recommender Systems with Merlin,
Sara Rabhi, Ronay Ak, Marc Romeijn, Gabriel De Souza Pereira Moreira, Benedikt Schifferer,
KDD 2022
Training and Deploying Multi-Stage Recommender Systems,
Ronay Ak, Benedikt Schifferer, Sara Rabhi, Gabriel De Souza Pereira Moreira,
RecSys 2022
Building and Deploying a Multi-Stage Recommender System with Merlin,
Karl Higley, Even Oldridge, Ronay Ak, Sara Rabhi, Gabriel De Souza Pereira Moreira,
RecSys 2022
End-to-End Session-Based Recommendation on GPU,
Gabriel De Souza Pereira Moreira, Sara Rabhi, Ronay Ak, Benedikt Schifferer,
RecSys 2021
Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation,
Gabriel De Souza Pereira Moreira, Sara Rabhi, Jeongmin Lee, Ronay Ak, Even Oldridge,
RecSys 2021
Accelerating recommender system training 15x with RAPIDS,
Sara Rabhi , Wenbo Sun, Julio Perez, Mads Ruben Burgdorff Kristensen, Jiwei Liu, Even Oldridge,
RecSys Challenge 2019

Journal articles

Temporal deep learning framework for retinopathy prediction in patients with type 1 diabetes,
Sara Rabhi, Frederic Blanchard, Alpha Mamadou Diallo, Djamal Zeghlache, Celine Lukas, Aurelie Berot, Brigitte Delemer, Sara Barraud,
Artificial Intelligence in Medicine 2022
Deep learning versus conventional machine learning for detection of healthcare-associated infections in French clinical narratives,
Sara Rabhi , Jeremie Jakubowicz , Marie-Hélène Metzger,
Methods of Information in Medicine 2019

Misc

Transformers with multi-modal features and post-fusion context for e-commerce session-based recommendation,
Gabriel De Souza Pereira Moreira, Sara Rabhi, Ronay Ak, Md Yasin Kabir, Even Oldridge,
CoRR 2021
Synthetic Data and Simulators for Recommendation Systems: Current State and Future Directions,
Adam Lesnikowski, Gabriel De Souza Pereira Moreira, Sara Rabhi, Karl Byleen Higley,
CoRR 2021