Addi Malviya-Thakur

According to our database, Addi Malviya-Thakur authored at least 18 papers between 2020 and 2024.

Collaborative distances:

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

2024

The Role of Data Filtering in Open Source Software Ranking and Selection.

Addi Malviya-Thakur, Audris Mockus

CoRR, 2024

2023

Experiential findings for sustainable software ecosystems to support experimental and observational science.

David E. Bernholdt, Mathieu Doucet, William F. Godoy, Addi Malviya-Thakur, Gregory R. Watson

J. Comput. Sci., 2023

SciCat: A Curated Dataset of Scientific Software Repositories.

Addi Malviya-Thakur, Reed Milewicz, Lavinia Paganini, Ahmed Samir Imam Mahmoud, Audris Mockus

CoRR, 2023

A cast of thousands: How the IDEAS Productivity project has advanced software productivity and sustainability.

Lois Curfman McInnes, Michael A. Heroux, David E. Bernholdt, Anshu Dubey, Elsa Gonsiorowski, Rinku Gupta, Osni Marques, J. David Moulton, Hai Ah Nam, Boyana Norris, Elaine M. Raybourn, James M. Willenbring, Ann S. Almgren, Ross Bartlett, Kita Cranfill, Stephen Fickas, Don Frederick, William F. Godoy, Patricia Grubel, Rebecca Hartman-Baker, Axel Huebl, Rose Lynch, Addi Malviya-Thakur, Reed Milewicz, Mark C. Miller, Miranda Mundt, Erik Palmer, Suzanne Parete-Koon, Megan Phinney, Katherine Riley, David M. Rogers, Benjamin H. Sims, Deborah Stevens, Gregory R. Watson

CoRR, 2023

Transitioning ECP Software Technology into a Foundation for Sustainable Research Software.

Gregory R. Watson, Addi Malviya-Thakur, Daniel S. Katz, Elaine M. Raybourn, Bill Hoffman, Dana Robinson, John Kellerman, Clark Roundy

CoRR, 2023

An Open Community-Driven Model For Sustainable Research Software: Sustainable Research Software Institute.

Gregory R. Watson, Addi Malviya-Thakur, Daniel S. Katz, Elaine M. Raybourn, Bill Hoffman, Dana Robinson, John Kellerman, Clark Roundy

CoRR, 2023

How R Developers explain their Package Choice: A Survey.

Addi Malviya-Thakur, Audris Mockus, Russell Zaretzki, Bogdan C. Bichescu, Randy V. Bradley

Proceedings of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2023

2022

For the Public Good: Connecting, Retaining, and Recognizing Current and Future RSEs at U.S. National Research Laboratories and Agencies.

Miranda Mundt, Keith Beattie, Jonathan Bisila, Charles R. Ferenbaugh, William F. Godoy, Rinku Gupta, Jonathan E. Guyer, Miriam Kiran, Addi Malviya-Thakur, Reed Milewicz, Benjamin H. Sims, Vanessa V. Sochat, Joshua B. Teves

Comput. Sci. Eng., 2022

Research Software Engineering at Oak Ridge National Laboratory.

Addi Malviya-Thakur, David E. Bernholdt, William F. Godoy, Gregory R. Watson, Mathieu Doucet, Mark A. Coletti, David M. Rogers, Marshall T. McDonnell, Jay Jay Billings, Barney Maccabe

Comput. Sci. Eng., 2022

Giving Research Software Engineers a Larger Stage Through the Better Scientific Software Fellowship.

William F. Godoy, Ritu Arora, Keith Beattie, David E. Bernholdt, Sarah E. Bratt, Daniel S. Katz, Ignacio Laguna, Amiya K. Maji, Addi Malviya-Thakur, Rafael M. Mudafort, Nitin Sukhija, Damian W. I. Rouson, Cindy Rubio-González, Karan Vahi

Comput. Sci. Eng., 2022

Giving RSEs a Larger Stage through the Better Scientific Software Fellowship.

William F. Godoy, Ritu Arora, Keith Beattie, David E. Bernholdt, Sarah E. Bratt, Daniel S. Katz, Ignacio Laguna, Amiya K. Maji, Addi Malviya-Thakur, Rafael M. Mudafort, Nitin Sukhija, Damian W. I. Rouson, Cindy Rubio-González, Karan Vahi

CoRR, 2022

Towards a Software Development Framework for Interconnected Science Ecosystems.

Addi Malviya-Thakur, Seth Hitefield, Marshall T. McDonnell, Matthew Wolf, Richard Archibald, Lance Drane, Kevin Roccapriore, Maxim A. Ziatdinov, Jesse McGaha, Robert Smith, John Hetrick, Mark Abraham, Sergey Yakubov, Gregory R. Watson, Ben Chance, Clara Nguyen, Matthew Baker, J. Robert Michael, Elke Arenholz, Ben Mintz

Proceedings of the Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation, 2022

A Systematic Review of Healthcare Information Technology Anomaly Classification.

Laura Pullum, Olufemi A. Omitaomu, Mohammed M. Olama, Addi Thakur Malviya, Ozgur Ozmer, Hilda B. Klasky, P. Teja Kuruganti, Merry Ward, Jeanie M. Scott, Angela Laurio, Brian C. Sauer, Frank Drews, Jonathan R. Nebeker

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

Use of Event-Time Embeddings via RNN to Discern Novel Event Sequences in EHRs.

Özgür Özmen, Hilda B. Klasky, Olufemi A. Omitaomu, Mohammed M. Olama, P. Teja Kuruganti, Laura Pullum, Addi Thakur Malviya, Merry Ward, Jeanie M. Scott, Angela Laurio, Brian C. Sauer, Frank Drews, Jonathan R. Nebeker

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

A Survey on Sustainable Software Ecosystems to Support Experimental and Observational Science at Oak Ridge National Laboratory.

David E. Bernholdt, Mathieu Doucet, William F. Godoy, Addi Malviya-Thakur, Gregory R. Watson

Proceedings of the Computational Science - ICCS 2022, 2022

Real-World Experiences Adopting Workflows at Exascale on the ExaAM Project.

Addi Malviya-Thakur, Reed Milewicz, Samuel Grayson, Philip Fackler, James F. Belak, John A. Turner

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

2021

A new methodological framework for hazard detection models in health information technology systems.

Olufemi A. Omitaomu, Hilda B. Klasky, Mohammed M. Olama, Özgür Özmen, Laura Pullum, Addi Thakur Malviya, P. Teja Kuruganti, Jeanie M. Scott, Angela Laurio, Frank Drews, Brian C. Sauer, Merry Ward, Jonathan R. Nebeker

J. Biomed. Informatics, 2021

2020

Adaptive Anomaly Detection for Dynamic Clinical Event Sequences.

Haoran Niu, Olufemi A. Omitaomu, Qing C. Cao, Mohammed M. Olama, Özgür Özmen, Hilda B. Klasky, Laura Pullum, Addi Thakur Malviya, P. Teja Kuruganti, Jeanie M. Scott, Angela Laurio, Frank Drews, Brian C. Sauer, Merry Ward, Jonathan R. Nebeker

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020