1 code implementation • 26 Feb 2022 • Maria Mahbub, Sudarshan Srinivasan, Edmon Begoli, Gregory D Peterson
We present an adversarial learning-based domain adaptation framework for the biomedical machine reading comprehension task (BioADAPT-MRC), a neural network-based method to address the discrepancies in the marginal distributions between the general and biomedical domain datasets.
no code implementations • 23 Feb 2021 • Jeremiah Duncan, Fabian Fallas, Chris Gropp, Emily Herron, Maria Mahbub, Paula Olaya, Eduardo Ponce, Tabitha K. Samuel, Daniel Schultz, Sudarshan Srinivasan, Maofeng Tang, Viktor Zenkov, Quan Zhou, Edmon Begoli
To this end, and using those established techniques, we first developed an experimental frame-work for author detection and input perturbations.
no code implementations • 29 Apr 2018 • Edmon Begoli, Jim Brase, Bambi DeLaRosa, Penelope Jones, Dimitri Kusnezov, Jason Paragas, Rick Stevens, Fred Streitz, Georgia Tourassi
In the past several years, we have taken advantage of a number of opportunities to advance the intersection of next generation high-performance computing AI and big data technologies through partnerships in precision medicine.
1 code implementation • 28 Feb 2018 • Edmon Begoli, Jesús Camacho Rodríguez, Julian Hyde, Michael J. Mior, Daniel Lemire
Apache Calcite is a foundational software framework that provides query processing, optimization, and query language support to many popular open-source data processing systems such as Apache Hive, Apache Storm, Apache Flink, Druid, and MapD.