Steven G. Johnson

54 papers Misc 11Journal 38Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Differentiating through binarized topology changes: Second-order subpixel-smoothed projection. CoRR Giuseppe Romano, Rodrigo Arrieta, Steven G. Johnson
2026	J	`jnl`	Implementing FFTs in Practice. CoRR Steven G. Johnson, Matteo Frigo
2025	J	`jnl`	Efficient Calculation of Modified Bessel Functions of the First Kind, I CoRR Mofreh R. Zaghloul, Steven G. Johnson
2025	J	`jnl`	Matrix Calculus (for Machine Learning and Beyond). CoRR Paige Bright, Alan Edelman, Steven G. Johnson
2024	—	`conf`	The Relationship Between Patient Perceived Pain and the Numerical Rating System: A Prospective Validation Using Electronic Health Record Data. Nursing Informatics Lisiane Pruinelli, Minh Nguyen, Nicholas Stalter, Steven G. Johnson, György J. Simon, Stuart M. Speedie, Sisi Ma
2023	J	`jnl`	A method for comparing multiple imputation techniques: A case study on the U.S. national COVID cohort collaborative. J. Biomed. Informatics Elena Casiraghi, Rachel Wong, Margaret Hall, Ben D. Coleman, Marco Notaro, Michael D. Evans, Jena S. Tronieri, Hannah Blau, Bryan Laraway, Tiffany J. Callahan, Lauren E. Chan, Carolyn T. Bramante, John B. Buse, Richard A. Moffitt, Til Sturmer, Steven G. Johnson, Yu Raymond Shao, Justin T. Reese, Peter N. Robinson, Alberto Paccanaro, Giorgio Valentini, Jared D. Huling, Kenneth Wilkins
2023	J	`jnl`	Data Science Implementation Trends in Nursing Practice: A Review of the 2021 Literature. Appl. Clin. Inform. Ann M. Wieben, Rachel Lane Walden, Bader G. Alreshidi, Sophia F. Brown, Kenrick Cato, Cynthia Peltier Coviak, Christopher Cruz, Fabio D'Agostino, Brian J. Douthit, Thompson H. Forbes, Grace Gao, Steven G. Johnson, Mikyoung Angela Lee, Margaret Mullen-Fortino, Jung In Park, Suhyun Park, Lisiane Pruinelli, Anita Reger, Jethrone Role, Marisa Sileo, Mary Anne Schultz, Pankaj Vyas, Alvin D. Jeffery
2023	J	`jnl`	Physics-enhanced deep surrogates for partial differential equations. Nat. Mac. Intell. Raphaël Pestourie, Youssef Mroueh, Chris Rackauckas, Payel Das, Steven G. Johnson
2023	—	`conf`	Promoting Learning Health System Cycles by Optimizing EHR Data Clinical Concept Encoding Processes. MedInfo Piper Ranallo, Bronwyn Southwell, Christopher J. Tignanelli, Steven G. Johnson, Richard Krueger, Tess Sevareid-Groth, Adam Carvel, Genevieve B. Melton
2022	J	`jnl`	Harmonizing units and values of quantitative data elements in a very large nationally pooled electronic health record (EHR) dataset. J. Am. Medical Informatics Assoc. Katie R. Bradwell, Jacob T. Wooldridge, Benjamin R. C. Amor, Tellen D. Bennett, Adit Anand, Carolyn Bremer, Yun Jae Yoo, Zhenglong Qian, Steven G. Johnson, Emily R. Pfaff, Andrew T. Girvin, Amin Manna, Emily Niehaus, Stephanie S. Hong, Xiaohan Tanner Zhang, Richard L. Zhu, Mark Bissell, Nabeel Qureshi, Joel H. Saltz, Melissa A. Haendel, Christopher G. Chute, Harold P. Lehmann, Richard A. Moffitt
2022	J	`jnl`	Inverse-Designed Meta-Optics with Spectral-Spatial Engineered Response to Mimic Color Perception. CoRR Chris Munley, Wenchao Ma, Johannes E. Fröch, Quentin A. A. Tanguy, Elyas Bayati, Karl F. Böhringer, Zin Lin, Raphaël Pestourie, Steven G. Johnson, Arka Majumdar
2022	J	`jnl`	Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of nanoscale heat transport. CoRR Lu Lu, Raphaël Pestourie, Steven G. Johnson, Giuseppe Romano
2022	J	`jnl`	Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative. J. Am. Medical Informatics Assoc. Emily R. Pfaff, Andrew T. Girvin, Davera Gabriel, Kristin Kostka, Michele Morris, Matvey B. Palchuk, Harold P. Lehmann, Benjamin R. C. Amor, Mark Bissell, Katie R. Bradwell, Sigfried Gold, Stephanie S. Hong, Johanna Loomba, Amin Manna, Julie A. McMurry, Emily Niehaus, Nabeel Qureshi, Anita Walden, Xiaohan Tanner Zhang, Richard L. Zhu, Richard A. Moffitt, Christopher G. Chute, William G. Adams, Shaymaa Al-Shukri, Alfred Anzalone, Ahmad Baghal, Tellen D. Bennett, Elmer V. Bernstam, Mark M. Bissell, Brian Bush, Thomas R. Campion Jr., Victor Castro, Jack Chang, Deepa D. Chaudhari, Wenjin Chen, San Chu, James J. Cimino, Keith A. Crandall, Mark Crooks, Sara J. Deakyne Davies, John Dipalazzo, David A. Dorr, Dan Eckrich, Sarah E. Eltinge, Daniel G. Fort, George Golovko, Snehil Gupta, Melissa A. Haendel, Janos G. Hajagos, David A. Hanauer, Brett M. Harnett, Ronald Horswell, Nancy Huang, Steven G. Johnson, Michael Kahn, Kamil Khanipov, Curtis Kieler, Katherine Ruiz De Luzuriaga, Sarah E. Maidlow, Ashley Martinez, Jomol Mathew, James C. McClay, Gabriel McMahan, Brian Melancon, Stéphane M. Meystre, Lucio Miele, Hiroki Morizono, Ray Pablo, Lav P. Patel, Jimmy Phuong, Daniel J. Popham, Claudia P. Pulgarin, Carlos Santos, Indra Neil Sarkar, Nancy Sazo, Soko Setoguchi, Selvin Soby, Sirisha Surampalli, Christine Suver, Uma Maheswara Reddy Vangala, Shyam Visweswaran, James von Oehsen, Kellie M. Walters, Laura K. Wiley, David A. Williams, Adrian H. Zai
2022	J	`jnl`	Tell Bennet, Christopher Chute, Peter DeWitt, Kenneth Gersing, Andrew Girvin, Melissa Haendel, Jeremy Harper, Janos Hajagos, Stephanie Hong, Emily Pfaff, Jane Reusch, Corneliu Antoniescu, Kimberly Robaski: A Methodological Framework for the Comparative Evaluation of Multiple Imputation Methods: Multiple Imputation of Race, Ethnicity and Body Mass Index in the U.S. National COVID Cohort Collaborative. CoRR Elena Casiraghi, Rachel Wong, Margaret Hall, Ben D. Coleman, Marco Notaro, Michael D. Evans, Jena S. Tronieri, Hannah Blau, Bryan Laraway, Tiffany J. Callahan, Lauren E. Chan, Carolyn T. Bramante, John B. Buse, Richard A. Moffitt, Til Sturmer, Steven G. Johnson, Yu Raymond Shao, Justin T. Reese, Peter N. Robinson, Alberto Paccanaro, Giorgio Valentini, Jared D. Huling, Kenneth Wilkins
2022	J	`jnl`	∂ Comput. Phys. Commun. Sean Mann, Eric Fadel, Samuel S. Schoenholz, Ekin D. Cubuk, Steven G. Johnson, Giuseppe Romano
2021	J	`jnl`	Modified discrete Laguerre polynomials for efficient computation of exponentially bounded Matsubara sums. CoRR Guanpeng Xu, Steven G. Johnson
2021	J	`jnl`	Notes on Perfectly Matched Layers (PMLs). CoRR Steven G. Johnson
2021	J	`jnl`	Physics-Informed Neural Networks with Hard Constraints for Inverse Design. SIAM J. Sci. Comput. Lu Lu, Raphaël Pestourie, Wenjie Yao, Zhicheng Wang, Francesc Verdugo, Steven G. Johnson
2021	J	`jnl`	Physics-enhanced deep surrogates for PDEs. CoRR Raphaël Pestourie, Youssef Mroueh, Chris Rackauckas, Payel Das, Steven G. Johnson
2021	J	`jnl`	Physics-informed neural networks with hard constraints for inverse design. CoRR Lu Lu, Raphaël Pestourie, Wenjie Yao, Zhicheng Wang, Francesc Verdugo, Steven G. Johnson
2020	J	`jnl`	A refined methodology for validation of information models derived from flowsheet data and applied to a genitourinary case. J. Am. Medical Informatics Assoc. Bonnie L. Westra, Kay Lytle, LuAnn Whittenburg, Mischa Adams, Samira Ali, Meg Furukawa, Stephanie Hartleben, Mary L. Hook, Steven G. Johnson, Sarah Collins Rossetti, Theresa (Tess) Settergren
2020	J	`jnl`	Active learning of deep surrogates for PDEs: Application to metasurface design. CoRR Raphaël Pestourie, Youssef Mroueh, Thanh V. Nguyen, Payel Das, Steven G. Johnson
2020	J	`jnl`	Factorized Machine Learning for Performance Modeling of Massively Parallel Heterogeneous Physical Simulations. CoRR Ardavan F. Oskooi, Christopher Hogan, Alec M. Hammond, M. T. Homer Reid, Steven G. Johnson
2019	J	`jnl`	Accurate solar-power integration: Solar-weighted Gaussian quadrature. CoRR Steven G. Johnson
2019	Misc	`conf`	Analyzing Flowsheet Data to Refine and Validate Information Models. AMIA Kay Lytle, Bonnie L. Westra, Mary L. Hook, Mischa Adams, Samira Ali, Meg Furukawa, Steven G. Johnson, Tari Rajchel, Sarah Collins Rossetti, Theresa (Tess) Settergren, LuAnn Whittenburg
2019	Misc	`conf`	Machine Learned Mapping of Local EHR Flowsheet Data to Standard Information Models using Topic Model Filtering. AMIA Steven G. Johnson, Lisiane Pruinelli, Bonnie L. Westra
2018	Misc	`conf`	Multiple Factors Drive Opioid Prescribing at the Time of Discharge. AMIA Lisiane Pruinelli, Sisi Ma, Bonnie L. Westra, Steven G. Johnson, Susan O'Conner-Von, Stuart M. Speedie
2018	J	`jnl`	Validation and Refinement of a Pain Information Model from EHR Flowsheet Data. Appl. Clin. Inform. Bonnie L. Westra, Steven G. Johnson, Samira Ali, Karen Bavuso, Christopher Cruz, Sarah Collins, Meg Furukawa, Mary L. Hook, Anne LaFlamme, Kay Lytle, Lisiane Pruinelli, Tari Rajchel, Theresa (Tess) Settergren, Kathryn Westman, LuAnn Whittenburg
2017	—	`conf`	FloMap: A Collaborative Tool for Mapping Local EHR Flowsheet Data to Information Models. CRI Steven G. Johnson, Lisiane Pruinelli, Beverly Christie, Connie White-Delaney, Grace Gao, Anne LaFlamme, Jung In Park, Suzan G. Sherman, Bonnie L. Westra
2017	J	`jnl`	Quantifying the Effect of Data Quality on the Validity of an eMeasure. Appl. Clin. Inform. Steven G. Johnson, Stuart M. Speedie, György J. Simon, Vipin Kumar, Bonnie L. Westra
2016	J	`jnl`	Application of an Ontology for Characterizing Data Quality for a Secondary Use of EHR Data. Appl. Clin. Inform. Stuart M. Speedie, György J. Simon, Vipin Kumar, Bonnie L. Westra, Steven G. Johnson
2016	—	`conf`	Expanding Interprofessional EHR Data in i2b2. CRI Bonnie L. Westra, Beverly Christie, Steven G. Johnson, Lisiane Pruinelli, Anne LaFlamme, Jung In Park, Suzan G. Sherman, Piper Ranallo, Matthew D. Byrne, Stuart M. Speedie
2016	Misc	`conf`	Modeling Flowsheet Data for Secondary Use. AMIA Bonnie L. Westra, Beverly Christie, Matthew D. Byrne, Anne LaFlamme, Grace Gao, Steven G. Johnson, Jung In Park, Lisiane Pruinelli, Piper Ranallo, Connie White-Delaney, Stuart M. Speedie
2016	—	`conf`	Pooling Mental Health Data Collected in EHRs: A Methodology for Developing an an RDoc-Based Research Repository. CRI Piper Ranallo, Beverly Christie, Steven G. Johnson, Lisiane Pruinelli, Anne LaFlamme, Jung In Park, Suzan G. Sherman, Matthew D. Byrne, Stuart M. Speedie, Bonnie L. Westra
2016	Misc	`conf`	Quantifying the Effect of Data Quality on the Correctness of an eMeasure. AMIA Steven G. Johnson, Stuart M. Speedie, György J. Simon, Vipin Kumar, Bonnie L. Westra
2015	Misc	`conf`	A Data Quality Ontology for the Secondary Use of EHR Data. AMIA Steven G. Johnson, Stuart M. Speedie, György J. Simon, Vipin Kumar, Bonnie L. Westra
2015	Misc	`conf`	Musculoskeletal Flowsheet Data Modeling for Clinical Research. AMIA Matthew D. Byrne, Steven G. Johnson, Beverly Christie, Jung In Park, Lisiane Pruinelli, Suzan Sherman, Bonnie L. Westra
2014	Misc	`conf`	Clinical Data Modeling EHR Data for Understanding Factors Related to Hospital-acquired Catheter-Associated Urinary Tract Infection (CAUTI). AMIA Jung In Park, Steven G. Johnson, Matthew D. Byrne, Beverly Christie, Lisiane Pruinelli, Suzan Sherman, Bonnie L. Westra
2014	Misc	`conf`	Semi-Automated Method to Extract Semantic Information from EHR Flowsheet Data for Pressure Ulcer Research. AMIA Steven G. Johnson, Jung In Park, Matthew D. Byrne, Beverly Christie, Lisiane Pruinelli, Suzan Sherman, Bonnie L. Westra
2013	Misc	`conf`	CTSI Pilot: Evaluating EHR Flowsheet Data Quality for Secondary Use in Research. AMIA Steven G. Johnson, Matthew D. Byrne, Beverly Christie, Justin Dale, Supreet B. Kathpalia, Emily Melcher, Tim Meyer, Jung In Park, Suzan Sherman, Bonnie L. Westra
2013	J	`jnl`	Fluctuation-Induced Phenomena in Nanoscale Systems: Harnessing the Power of Noise. Proc. IEEE M. T. Homer Reid, Alejandro W. Rodriguez, Steven G. Johnson
2011	J	`jnl`	Distinguishing correct from incorrect PML proposals and a corrected unsplit PML for anisotropic, dispersive media. J. Comput. Phys. Ardavan F. Oskooi, Steven G. Johnson
2011	J	`jnl`	Python Bindings for the Open Source Electromagnetic Simulator Meep. Comput. Sci. Eng. Emmanuel Lambert, Martin Fiers, Shavkat Nizamov, Martijn Tassaert, Steven G. Johnson, Peter Bienstman, Wim Bogaerts
2010	J	`jnl`	Meep: A flexible free-software package for electromagnetic simulations by the FDTD method. Comput. Phys. Commun. Ardavan F. Oskooi, David Roundy, Mihai Ibanescu, Peter Bermel, John D. Joannopoulos, Steven G. Johnson
2008	J	`jnl`	Type-II/III DCT/DST algorithms with reduced number of arithmetic operations. Signal Process. Xuancheng Shao, Steven G. Johnson
2008	J	`jnl`	Type-IV DCT, DST, and MDCT algorithms with reduced numbers of arithmetic operations. Signal Process. Xuancheng Shao, Steven G. Johnson
2007	J	`jnl`	A Modified Split-Radix FFT With Fewer Arithmetic Operations. IEEE Trans. Signal Process. Steven G. Johnson, Matteo Frigo
2007	J	`jnl`	Comments on "Split Manageable Efficient Algorithm for Fourier and Hadamard Transforms". IEEE Trans. Signal Process. Matteo Frigo, Steven G. Johnson
2007	J	`jnl`	Type-II/III DCT/DST algorithms with reduced number of arithmetic operations CoRR Xuancheng Shao, Steven G. Johnson
2007	J	`jnl`	Type-IV DCT, DST, and MDCT algorithms with reduced numbers of arithmetic operations CoRR Xuancheng Shao, Steven G. Johnson
2006	J	`jnl`	Comments on "Method of flow graph simplification for the 16-point discrete Fourier Transform". IEEE Trans. Signal Process. Steven G. Johnson, Matteo Frigo
2005	J	`jnl`	The Design and Implementation of FFTW3. Proc. IEEE Matteo Frigo, Steven G. Johnson
2001	J	`jnl`	Molding the flow of light. Comput. Sci. Eng. Steven G. Johnson, Attila Mekis, Shanhui Fan, John D. Joannopoulos
1998	Misc	`conf`	FFTW: an adaptive software architecture for the FFT. ICASSP Matteo Frigo, Steven G. Johnson