Daniel A. Jacobson

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 18

Top Topics

Comparative Genomics

Data Acquisition

Learning Machines

Correlation Coefficient

Top Venues

J. Heal. Informatics Res.

Publications

Jean Merlet, John H. Lagergren, Verónica Melesse Vergara, Mikaela Cashman, Christopher E. Bradburne, Raina Plowright, Emily Gurley, Wayne Joubert, Daniel A. Jacobson
Data-Driven Whole-Genome Clustering to Detect Geospatial, Temporal, and Functional Trends in SARS-CoV-2 Evolution. PASC (2023)
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
Longitudinal Effects on Plant Species Involved in Agriculture and Pandemic Emergence Undergoing Changes in Abiotic Stress. PASC (2023)
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 Holmen, Axel Huebl, Daniel A. Jacobson, Wayne Joubert, Kim 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
Frontier: Exploring Exascale. SC (2023)
Kenneth Smith, Michael Chan, John Brandenburg, Katarina A Jones, Shawn R. Campagna, Michael Garvin, Alan R. Templeton, Daniel A. Jacobson, Carlos Cruchaga, Sharlee Climer
Predicting COVID-19 Severity Using a Cut-and-Solve Feature Selection Approach. BIBM (2023)
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
Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa. CoRR (2023)
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
Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery. ICLR (2022)
Kshitij Mehta, Ashley Cliff, Frédéric Suter, Angelica M. Walker, Matthew Wolf, Daniel A. Jacobson, Scott Klasky
Running Ensemble Workflows at Extreme Scale: Lessons Learned and Path Forward. e-Science (2022)
Yulun Wu, Nicholas Choma, Andrew Chen, Mikaela Cashman, Érica T. Prates, Manesh Shah, Verónica G. Melesse Vergara, Austin Clyde, Thomas S. Brettin, Wibe A. de Jong, Neeraj Kumar, Martha S. Head, Rick L. Stevens, Peter Nugent, Daniel A. Jacobson, James B. Brown
Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery. CoRR (2021)
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
Learning from learning machines: a new generation of AI technology to meet the needs of science. CoRR (2021)
Matthew Wolf, Jeremy Logan, Kshitij Mehta, Daniel A. Jacobson, Mikaela Cashman, Angelica M. Walker, Greg Eisenhauer, Patrick M. Widener, Ashley Clif
Reusability First: Toward FAIR Workflows. CLUSTER (2021)
Rachel Ramoni, Molly Klote, Sumitra Muralidhar, Cynthia Brandt, Maya A. Bernstein, Benjamin H. McMahon, Daniel A. Jacobson, Amy C. Justice
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. J. Am. Medical Informatics Assoc. 28 (7) (2021)
Wayne Joubert, James Nance, Sharlee Climer, Deborah A. Weighill, Daniel A. Jacobson
Parallel accelerated Custom Correlation Coefficient calculations for genomics applications. Parallel Comput. 84 (2019)
Franco van Wyk, Anahita Khojandi, Brian Williams, Don Macmillan, Robert L. Davis, Daniel A. Jacobson, Rishikesan Kamaleswaran
A Cost-Benefit Analysis of Automated Physiological Data Acquisition Systems Using Data-Driven Modeling. J. Heal. Informatics Res. 3 (2) (2019)
Franco van Wyk, Anahita Khojandi, Brian Williams, Don Macmillan, Robert L. Davis, Daniel A. Jacobson, Rishikesan Kamaleswaran
Correction to: A Cost-Benefit Analysis of Automated Physiological Data Acquisition Systems Using Data-Driven Modeling. J. Heal. Informatics Res. 3 (2) (2019)
Wayne Joubert, Deborah A. Weighill, David Kainer, Sharlee Climer, Amy Justice, Kjiersten Fagnan, Daniel A. Jacobson
Attacking the opioid epidemic: determining the epistatic and pleiotropic genetic architectures for chronic pain and opioid addiction. SC (2018)
Wayne Joubert, James Nance, Deborah A. Weighill, Daniel A. Jacobson
Parallel accelerated vector similarity calculations for genomics applications. Parallel Comput. 75 (2018)
Wayne Joubert, James Nance, Sharlee Climer, Deborah A. Weighill, Daniel A. Jacobson
Parallel Accelerated Custom Correlation Coefficient Calculations for Genomics Applications. CoRR (2017)
Wayne Joubert, James Nance, Deborah A. Weighill, Daniel A. Jacobson
Parallel Accelerated Vector Similarity Calculations for Genomics Applications. CoRR (2017)
Deborah A. Weighill, Daniel A. Jacobson
3-way Networks: Application of Hypergraphs for Modelling Increased Complexity in Comparative Genomics. PLoS Comput. Biol. 11 (3) (2015)