Studnia, Joachim

Ministral 3

Liu, A. H., Khandelwal, K., Subramanian, S., Jouault, V., Rastogi, A., Sadé, A., Jeffares, A., Jiang, A., Cahill, A., Gavaudan, A., et al. (2026) · arXiv

Topic ModelingAdvanced Neural Network Applications

Cited by 64

Pixtral 12B

Agrawal, P., Antoniak, S., Hanna, E. B., Bout, B., Chaplot, D., Chudnovsky, J., Costa, D., De Monicault, B., Garg, S., Gervet, T., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 8

Improving postsurgical fall detection for older Americans using LLM-driven analysis of clinical narratives

Pillai, M., Blumke, T. L., Studnia, J., Wang, Y., Veigulis, Z. P., Ware, A. D., Hoover, P. J., Carroll, I. R., Humphreys, K., Osborne, T. F., et al. (2024) · medRxiv

Machine Learning in HealthcareBalance, Gait, and Falls Prevention

Cited by 4