David M. Haas

According to our database, David M. Haas authored at least 3 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Modeling Multiple Adverse Pregnancy Outcomes: Learning from Diverse Data Sources.

Saurabh Mathur, Veerendra P. Gadekar, Rashika Ramola, Peixin Wang, Ramachandran Thiruvengadam, David M. Haas, Shinjini Bhatnagar, Nitya Wadhwa, Garbhini Study Group, Predrag Radivojac, Himanshu Sinha, Kristian Kersting, Sriraam Natarajan

Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024

2022

Explaining Deep Tractable Probabilistic Models: The sum-product network case.

Athresh Karanam, Saurabh Mathur, Predrag Radivojac, David M. Haas, Kristian Kersting, Sriraam Natarajan

Proceedings of the International Conference on Probabilistic Graphical Models, 2022

2021

A Probabilistic Approach to Extract Qualitative Knowledge for Early Prediction of Gestational Diabetes.

Athresh Karanam, Alexander L. Hayes, Harsha Kokel, David M. Haas, Predrag Radivojac, Sriraam Natarajan

Proceedings of the Artificial Intelligence in Medicine, 2021