GNN-based Probabilistic Supply and Inventory Predictions in Supply Chain Networks

no code implementations • 11 Apr 2024 • Hyung-il Ahn, Young Chol Song, Santiago Olivar, Hershel Mehta, Naveen Tewari

Successful supply chain optimization must mitigate imbalances between supply and demand over time.

Generative Probabilistic Planning for Optimizing Supply Chain Networks

no code implementations • 11 Apr 2024 • Hyung-il Ahn, Santiago Olivar, Hershel Mehta, Young Chol Song

Supply chain networks in enterprises are typically composed of complex topological graphs involving various types of nodes and edges, accommodating numerous products with considerable demand and supply variability.

Offline RL

MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs

11 code implementations • 11 Dec 2017 • Pranav Rajpurkar, Jeremy Irvin, Aarti Bagul, Daisy Ding, Tony Duan, Hershel Mehta, Brandon Yang, Kaylie Zhu, Dillon Laird, Robyn L. Ball, Curtis Langlotz, Katie Shpanskaya, Matthew P. Lungren, Andrew Y. Ng

To evaluate models robustly and to get an estimate of radiologist performance, we collect additional labels from six board-certified Stanford radiologists on the test set, consisting of 207 musculoskeletal studies.

Anomaly Detection Specificity

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

46 code implementations • 14 Nov 2017 • Pranav Rajpurkar, Jeremy Irvin, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Ding, Aarti Bagul, Curtis Langlotz, Katie Shpanskaya, Matthew P. Lungren, Andrew Y. Ng

We develop an algorithm that can detect pneumonia from chest X-rays at a level exceeding practicing radiologists.

Pneumonia Detection