Meghamala Sinha

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 5

Top Topics

Connectionist Networks

Learning Systems

Prior Knowledge

Top Venues

AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering

Publications

Amy Glen, Chunyu Ma, Luis Mendoza, Finn Womack, E. C. Wood, Meghamala Sinha, Liliana Acevedo, Lindsey G. Kvarfordt, Ross C. Peene, Shaopeng Liu, Andrew S. Hoffman, Jared C. Roach, Eric W. Deutsch, Stephen A. Ramsey, David Koslicki
ARAX: a graph-based modular reasoning tool for translational biomedicine. Bioinform. 39 (3) (2023)
Priya Sharma, Perry Haaland, Ashok K. Krishnamurthy, Bo Lan, Patrick L. Schmitt, Meghamala Sinha, Hao Xu, Karamarie Fecho
Evaluating robustness of a generalized linear model when applied to electronic health record data accessed using an Open API. Health Informatics J. 29 (2) (2023)
E. C. Wood, Amy Glen, Lindsey G. Kvarfordt, Finn Womack, Liliana Acevedo, Timothy S. Yoon, Chunyu Ma, Veronica Flores, Meghamala Sinha, Yodsawalai Chodpathumwan, Arash Termehchy, Jared C. Roach, Luis Mendoza, Andrew S. Hoffman, Eric W. Deutsch, David Koslicki, Stephen A. Ramsey
RTX-KG2: a system for building a semantically standardized knowledge graph for translational biomedicine. BMC Bioinform. 23 (1) (2022)
Meghamala Sinha, Stephen A. Ramsey
Using a General Prior Knowledge Graph to Improve Data-Driven Causal Network Learning. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (2021)
Debatri Chatterjee, Aniruddha Sinha, Meghamala Sinha, Sanjoy Kumar Saha
A Probabilistic Approach for Detection and Analysis of Cognitive Flow. BMA@UAI (2016)