Daniel A. Jacobson

19 papers A* 1A 2B 1C 1Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2023 — conf
Data-Driven Whole-Genome Clustering to Detect Geospatial, Temporal, and Functional Trends in SARS-CoV-2 Evolution.
PASC
Jean Merlet, John H. Lagergren, Verónica Melesse Vergara, Mikaela Cashman, Christopher E. Bradburne, Raina Plowright, Emily Gurley, Wayne Joubert, Daniel A. Jacobson
2023 J jnl
Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa.
CoRR
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
2023 A conf
Frontier: Exploring Exascale.
SC
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
2023 — conf
Longitudinal Effects on Plant Species Involved in Agriculture and Pandemic Emergence Undergoing Changes in Abiotic Stress.
PASC
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
2023 — conf
Predicting COVID-19 Severity Using a Cut-and-Solve Feature Selection Approach.
BIBM
Kenneth Smith, Michael Chan, John Brandenburg, Katarina A Jones, Shawn R. Campagna, Michael Garvin, Alan R. Templeton, Daniel A. Jacobson, Carlos Cruchaga, Sharlee Climer
2022 B conf
Running Ensemble Workflows at Extreme Scale: Lessons Learned and Path Forward.
e-Science
Kshitij Mehta, Ashley Cliff, Frédéric Suter, Angelica M. Walker, Matthew Wolf, Daniel A. Jacobson, Scott Klasky
2022 A* conf
Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery.
ICLR
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
2021 J jnl
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.
Rachel Ramoni, Molly Klote, Sumitra Muralidhar, Cynthia Brandt, Maya A. Bernstein, Benjamin H. McMahon, Daniel A. Jacobson, Amy C. Justice
2021 J jnl
Learning from learning machines: a new generation of AI technology to meet the needs of science.
CoRR
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
2021 C conf
Reusability First: Toward FAIR Workflows.
CLUSTER
Matthew Wolf, Jeremy Logan, Kshitij Mehta, Daniel A. Jacobson, Mikaela Cashman, Angelica M. Walker, Greg Eisenhauer, Patrick M. Widener, Ashley Cliff
2021 J jnl
Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery.
CoRR
Yulun Wu, Nicholas Choma, Andrew Deru 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
2019 J jnl
A Cost-Benefit Analysis of Automated Physiological Data Acquisition Systems Using Data-Driven Modeling.
J. Heal. Informatics Res.
Franco van Wyk, Anahita Khojandi, Brian Williams, Don Macmillan, Robert L. Davis, Daniel A. Jacobson, Rishikesan Kamaleswaran
2019 J jnl
Correction to: A Cost-Benefit Analysis of Automated Physiological Data Acquisition Systems Using Data-Driven Modeling.
J. Heal. Informatics Res.
Franco van Wyk, Anahita Khojandi, Brian Williams, Don Macmillan, Robert L. Davis, Daniel A. Jacobson, Rishikesan Kamaleswaran
2019 J jnl
Parallel accelerated Custom Correlation Coefficient calculations for genomics applications.
Parallel Comput.
Wayne Joubert, James Nance, Sharlee Climer, Deborah A. Weighill, Daniel A. Jacobson
2018 A conf
Attacking the opioid epidemic: determining the epistatic and pleiotropic genetic architectures for chronic pain and opioid addiction.
SC
Wayne Joubert, Deborah A. Weighill, David Kainer, Sharlee Climer, Amy Justice, Kjiersten Fagnan, Daniel A. Jacobson
2018 J jnl
Parallel accelerated vector similarity calculations for genomics applications.
Parallel Comput.
Wayne Joubert, James Nance, Deborah A. Weighill, Daniel A. Jacobson
2017 J jnl
Parallel Accelerated Custom Correlation Coefficient Calculations for Genomics Applications.
CoRR
Wayne Joubert, James Nance, Sharlee Climer, Deborah A. Weighill, Daniel A. Jacobson
2017 J jnl
Parallel Accelerated Vector Similarity Calculations for Genomics Applications.
CoRR
Wayne Joubert, James Nance, Deborah A. Weighill, Daniel A. Jacobson
2015 J jnl
3-way Networks: Application of Hypergraphs for Modelling Increased Complexity in Comparative Genomics.
PLoS Comput. Biol.
Deborah A. Weighill, Daniel A. Jacobson