Daniel A. Jacobson

According to our database, Daniel A. Jacobson authored at least 16 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa.

John H. Lagergren, Mirko Pavicic, Hari B. Chhetri, Larry M. York, P. Doug Hyatt, David Kainer, Erica M. Rutter, Kevin B. Flores, Gail Taylor, Daniel A. Jacobson, Jared Streich

CoRR, 2023

Frontier: Exploring Exascale.

Scott Atchley, Christopher Zimmer, John Lange, David E. Bernholdt, Verónica G. Melesse Vergara, Thomas Beck, Michael J. Brim, Reuben D. Budiardja, Sunita Chandrasekaran, Markus Eisenbach, Thomas M. Evans, Matthew Ezell, Nicholas Frontiere, Antigoni Georgiadou, Joe Glenski, Philipp Grete, Steven P. Hamilton, John K. Holmen, Axel Huebl, Daniel A. Jacobson, Wayne Joubert, Kim H. McMahon, Elia Merzari, Stan G. Moore, Andrew Myers, Stephen Nichols, Sarp Oral, Thomas Papatheodore, Danny Perez, David M. Rogers, Evan Schneider, Jean-Luc Vay, P. K. Yeung

Proceedings of the International Conference for High Performance Computing, 2023

Data-Driven Whole-Genome Clustering to Detect Geospatial, Temporal, and Functional Trends in SARS-CoV-2 Evolution.

Jean Merlet, John H. Lagergren, Verónica Melesse Vergara, Mikaela Cashman, Christopher E. Bradburne, Raina Plowright, Emily Gurley, Wayne Joubert, Daniel A. Jacobson

Proceedings of the Platform for Advanced Scientific Computing Conference, 2023

Longitudinal Effects on Plant Species Involved in Agriculture and Pandemic Emergence Undergoing Changes in Abiotic Stress.

Mikaela Cashman, Verónica G. Melesse Vergara, John H. Lagergren, Matthew Lane, Jean Merlet, Mikaela Atkinson, Jared Streich, Christopher E. Bradburne, Raina Plowright, Wayne Joubert, Daniel A. Jacobson

Proceedings of the Platform for Advanced Scientific Computing Conference, 2023

Predicting COVID-19 Severity Using a Cut-and-Solve Feature Selection Approach.

Kenneth Smith, Michael Chan, John Brandenburg, Katarina A Jones, Shawn R. Campagna, Michael Garvin, Alan R. Templeton, Daniel A. Jacobson, Carlos Cruchaga, Sharlee Climer

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery.

Yulun Wu, Nicholas Choma, Andrew Deru Chen, Mikaela Cashman, Érica Teixeira Prates, Verónica G. Melesse Vergara, Manesh Shah, Austin Clyde, Thomas S. Brettin, Wibe Albert de Jong, Neeraj Kumar, Martha S. Head, Rick L. Stevens, Peter Nugent, Daniel A. Jacobson, James B. Brown

Proceedings of the Tenth International Conference on Learning Representations, 2022

Running Ensemble Workflows at Extreme Scale: Lessons Learned and Path Forward.

Kshitij Mehta, Ashley Cliff, Frédéric Suter, Angelica M. Walker, Matthew Wolf, Daniel A. Jacobson, Scott Klasky

Proceedings of the 18th IEEE International Conference on e-Science, 2022

2021

COVID-19 Insights Partnership: Leveraging big data from the Department of Veterans Affairs and supercomputers at the Department of Energy under the public health authority.

Rachel Ramoni, Molly Klote, Sumitra Muralidhar, Cynthia Brandt, Maya A. Bernstein, Benjamin H. McMahon, Daniel A. Jacobson, Amy C. Justice

J. Am. Medical Informatics Assoc., 2021

Learning from learning machines: a new generation of AI technology to meet the needs of science.

Luca Pion-Tonachini, Kristofer E. Bouchard, Héctor García Martín, Sean Peisert, W. Bradley Holtz, Anil Aswani, Dipankar Dwivedi, Haruko M. Wainwright, Ghanshyam Pilania, Benjamin Nachman, Babetta L. Marrone, Nicola Falco, Prabhat, Daniel B. Arnold, Alejandro Wolf-Yadlin, Sarah Powers, Sharlee Climer, Quinn Jackson, Ty Carlson, Michael Sohn, Petrus H. Zwart, Neeraj Kumar, Amy Justice, Claire J. Tomlin, Daniel A. Jacobson, Gos Micklem, Georgios V. Gkoutos, Peter J. Bickel, Jean-Baptiste Cazier, Juliane Müller, Bobbie-Jo Webb-Robertson, Rick Stevens, Mark Anderson, Kenneth Kreutz-Delgado, Michael W. Mahoney, James B. Brown

CoRR, 2021

Reusability First: Toward FAIR Workflows.

Matthew Wolf, Jeremy Logan, Kshitij Mehta, Daniel A. Jacobson, Mikaela Cashman, Angelica M. Walker, Greg Eisenhauer, Patrick M. Widener, Ashley Cliff

Proceedings of the IEEE International Conference on Cluster Computing, 2021

2019

Parallel accelerated Custom Correlation Coefficient calculations for genomics applications.

Wayne Joubert, James Nance, Sharlee Climer, Deborah A. Weighill, Daniel A. Jacobson

Parallel Comput., 2019

Correction to: A Cost-Benefit Analysis of Automated Physiological Data Acquisition Systems Using Data-Driven Modeling.

Franco van Wyk, Anahita Khojandi, Brian Williams, Don Macmillan, Robert L. Davis, Daniel A. Jacobson, Rishikesan Kamaleswaran

J. Heal. Informatics Res., 2019

A Cost-Benefit Analysis of Automated Physiological Data Acquisition Systems Using Data-Driven Modeling.

Franco van Wyk, Anahita Khojandi, Brian Williams, Don Macmillan, Robert L. Davis, Daniel A. Jacobson, Rishikesan Kamaleswaran

J. Heal. Informatics Res., 2019

2018

Parallel accelerated vector similarity calculations for genomics applications.

Wayne Joubert, James Nance, Deborah A. Weighill, Daniel A. Jacobson

Parallel Comput., 2018

Attacking the opioid epidemic: determining the epistatic and pleiotropic genetic architectures for chronic pain and opioid addiction.

Wayne Joubert, Deborah A. Weighill, David Kainer, Sharlee Climer, Amy Justice, Kjiersten Fagnan, Daniel A. Jacobson

Proceedings of the International Conference for High Performance Computing, 2018

2015

3-way Networks: Application of Hypergraphs for Modelling Increased Complexity in Comparative Genomics.

Deborah A. Weighill, Daniel A. Jacobson

PLoS Comput. Biol., 2015