• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 70 matches

• 2024
• 
  James C. Davis, Purvish Jajal, Wenxin Jiang, Taylor R. Schorlemmer, Nicholas Synovic, George K. Thiruvathukal:
  Reusing Deep Learning Models: Challenges and Directions in Software Engineering. CoRR abs/2404.16688 (2024)
• 
  Jeffrey D. Rudie, Hui-Ming Lin, Robyn L. Ball, Sabeena Jalal, Luciano M. Prevedello, Savvas Nicolaou, Brett S. Marinelli, Adam E. Flanders, Kirti Magudia, George Shih, Melissa A. Davis, John Mongan, Peter D. Chang, Ferco H. Berger, Sebastiaan Hermans, Meng Law, Tyler Richards, Jan-Peter Grunz, Andreas Steven Kunz, Shobhit Mathur, Sandro Galea-Soler, Andrew D. Chung, Saif Afat, Chin-Chi Kuo, Layal Aweidah, Ana Villanueva Campos, Arjuna Somasundaram, Felipe Antonio Sanchez Tijmes, Attaporn Jantarangkoon, Leonardo Kayat Bittencourt, Michael Brassil, Ayoub El Hajjami, Hakan Dogan, Muris Becircic, Agrahara G. Bharatkumar, Eduardo Moreno Júdice de Mattos Farina, Dataset Curator Group, Dataset Contributor Group, Dataset Annotator Group, Errol Colak:
  The RSNA Abdominal Traumatic Injury CT (RATIC) Dataset. CoRR abs/2405.19595 (2024)
• 2023
• 
  Wenxin Jiang, Nicholas Synovic, Matt Hyatt, Taylor R. Schorlemmer, Rohan Sethi, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis:
  An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry. ICSE 2023: 2463-2475
• 
  James C. Davis, Purvish Jajal, Wenxin Jiang, Taylor R. Schorlemmer, Nicholas Synovic, George K. Thiruvathukal:
  Reusing Deep Learning Models: Challenges and Directions in Software Engineering. JVA 2023: 17-30
• 
  Wenxin Jiang, Nicholas Synovic, Purvish Jajal, Taylor R. Schorlemmer, Arav Tewari, Bhavesh Pareek, George K. Thiruvathukal, James C. Davis:
  PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages. MSR 2023: 57-61
• 
  Wenxin Jiang, Nicholas Synovic, Matt Hyatt, Taylor R. Schorlemmer, Rohan Sethi, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis:
  An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry. CoRR abs/2303.02552 (2023)
• 
  Wenxin Jiang, Nicholas Synovic, Purvish Jajal, Taylor R. Schorlemmer, Arav Tewari, Bhavesh Pareek, George K. Thiruvathukal, James C. Davis:
  PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages. CoRR abs/2303.08934 (2023)
• 
  Wenxin Jiang, Jason Jones, Jerin Yasmin, Nicholas Synovic, Rajeev Sashti, Sophie Chen, George K. Thiruvathukal, Yuan Tian, James C. Davis:
  PeaTMOSS: Mining Pre-Trained Models in Open-Source Software. CoRR abs/2310.03620 (2023)
• 2022
• 
  Beatrice Amos, Cristina Aurrecoechea, Matthieu Barba, Ana Barreto, Evelina Y. Basenko, Wojciech Bazant, Robert Belnap, Ann S. Blevins, Ulrike Böhme, John Brestelli, Brian P. Brunk, Mark J. Caddick, Danielle Callan, Lahcen I. Campbell, Mikkel B. Christensen, George K. Christophides, Kathryn Crouch, Kristina Davis, Jeremy D. DeBarry, Ryan Doherty, Yikun Duan, Michael Dunn, Dave Falke, Steve Fisher, Paul Flicek, Brett Fox, Bindu Gajria, Gloria I. Giraldo-Calderón, Omar S. Harb, Elizabeth Harper, Christiane Hertz-Fowler, Mark J. Hickman, Connor Howington, Sufen Hu, Jay C. Humphrey, John Iodice, Andrew R. Jones, John Judkins, Sarah A. Kelly, Jessica C. Kissinger, Dae Kun Kwon, Kristopher Lamoureux, Daniel Lawson, Wei Li, Kallie Lies, Disha Lodha, Jamie Long, Robert M. MacCallum, Gareth Maslen, Mary Ann McDowell, Jaroslaw Nabrzyski, David S. Roos, Samuel S. C. Rund, Stephanie wever Schulman, Achchuthan Shanmugasundram, Vasily Sitnik, Drew Spruill, David Starns, Christian J. Stoeckert Jr., Sheena Shah Tomko, Haiming Wang, Susanne Warrenfeltz, Robert Wieck, Paul A. Wilkinson, Lin Xu, Jie Zheng:
  VEuPathDB: the eukaryotic pathogen, vector and host bioinformatics resource center. Nucleic Acids Res. 50(D1): 898-911 (2022)
• 
  Stephen Young, Dayakar Penumadu, Andrew D. Patchen, George Laggis, Joey Michaud, Abram Bradley, Ryan Davis, John Unser, Matthew Davis:
  Smart Polymer Composite Deck Monitoring Using Distributed High Definition and Bragg Grating Fiber Optic Sensing. Sensors 22(11): 4089 (2022)
• 
  Alexandra A. Shaver, Neehar Peri, Remy Mezebish, George Matthew, Alyza Berson, Christopher Gaskins, Gregory P. Davis, Garrett E. Katz, Immanuel Babu Henry Samuel, Matthew J. Reinhard, Michelle E. Costanzo, James A. Reggia, James Purtilo, Rodolphe J. Gentili:
  Assessment of a Novel Virtual Environment for Examining Human Cognitive-Motor Performance During Execution of Action Sequences. HCI (9) 2022: 361-380
• 
  Nicholas M. Synovic, Matt Hyatt, Rohan Sethi, Sohini Thota, Shilpika, Allan J. Miller, Wenxin Jiang, Emmanuel S. Amobi, Austin Pinderski, Konstantin Läufer, Nicholas J. Hayward, Neil Klingensmith, James C. Davis, George K. Thiruvathukal:
  Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics. ASE 2022: 167:1-167:4
• 
  Tal Ben-Nun, Linus Groner, Florian Deconinck, Tobias Wicky, Eddie Davis, Johann Dahm, Oliver Elbert, Rhea George, Jeremy McGibbon, Lukas Trümper, Elynn Wu, Oliver Fuhrer, Thomas C. Schulthess, Torsten Hoefler:
  Productive Performance Engineering for Weather and Climate Modeling with Python. SC 2022: 73:1-73:14
• 
  Wenxin Jiang, Nicholas Synovic, Rohan Sethi, Aryan Indarapu, Matt Hyatt, Taylor R. Schorlemmer, George K. Thiruvathukal, James C. Davis:
  An Empirical Study of Artifacts and Security Risks in the Pre-trained Model Supply Chain. SCORED@CCS 2022: 105-114
• 
  Tal Ben-Nun, Linus Groner, Florian Deconinck, Tobias Wicky, Eddie Davis, Johann Dahm, Oliver Elbert, Rhea George, Jeremy McGibbon, Lukas Trümper, Elynn Wu, Oliver Fuhrer, Thomas C. Schulthess, Torsten Hoefler:
  Productive Performance Engineering for Weather and Climate Modeling with Python. CoRR abs/2205.04148 (2022)
• 
  Nicholas Synovic, Matt Hyatt, Rohan Sethi, Sohini Thota, Shilpika, Allan J. Miller, Wenxin Jiang, Emmanuel S. Amobi, Austin Pinderski, Konstantin Läufer, Nicholas J. Hayward, Neil Klingensmith, James C. Davis, George K. Thiruvathukal:
  Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics. CoRR abs/2207.11767 (2022)
• 2021
• 
  Lamar O. Mair, Georges Adam, Sagar Chowdhury, Aaron C. Davis, Dian R. Arifin, Fair M. Vassoler, Herbert H. Engelhard, Jinxing Li, Xinyao Tang, Irving N. Weinberg, Benjamin A. Evans, Jeff W. M. Bulte, David J. Cappelleri:
  Soft Capsule Magnetic Millirobots for Region-Specific Drug Delivery in the Central Nervous System. Frontiers Robotics AI 8: 702566 (2021)
• 
  Michael J. Allen, Thomas R. Allen, Christopher Davis, George McLeod:
  Exploring Spatial Patterns of Virginia Tornadoes Using Kernel Density and Space-Time Cube Analysis (1960-2019). ISPRS Int. J. Geo Inf. 10(5): 310 (2021)
• 
  Caroline Byrd Hornburg, Giulia A. Borriello, Melody Kung, Joyce Lin, Ellen Litkowski, Jimena Cosso, Alexa Ellis, Yemimah A. King, Erica Zippert, Natasha J. Cabrera, Pamela Davis-Kean, Sarah H. Eason, Sara A. Hart, Iheoma U. Iruka, Jo-Anne LeFevre, Victoria Simms, María Inés Susperreguy, Abbie Cahoon, Winnie Wai Lan Chan, Sum Kwing Cheung, Marie Coppola, Bert De Smedt, Leanne Elliott, Nancy Estévez-Pérez, Thomas Gallagher-Mitchell, Nicole Gardner-Neblett, Camilla Gilmore, Diana Leyva, Erin A. Maloney, George Manolitsis, Gigliana Melzi, Belde Mutaf-Yildiz, Gena Nelson, Frank Niklas, Yuejuan Pan, Geetha B. Ramani, Sheri-Lynn Skwarchuk, Susan Sonnenschein, David J. Purpura:
  Next directions in measurement of the home mathematics environment: An international and interdisciplinary perspective. J. Numer. Cogn. 7(2): 195-220 (2021)
• 
  Sharon E. Davis, Praveen Kumar, Nicolas R. Lauve, Sharidan K. Parr, Daniel Park, Michael E. Matheny, Gerardo Villarreal, George Uhl, Yiliang Zhu, Mauricio Tohen, Douglas J. Perkins, Christophe G. Lambert:
  Disparities in Coded and Imputed Post-Traumatic Stress Disorder and Self-Harm Among US Veterans. AMIA 2021
• 
  George Buchanan, Hilary Davis, Abdullah Al Mahmud, Zhanna Sarsenbayeva, Alessandro Soro, Diego Muñoz, Leigh Ellen Potter, Jennyfer Lawrence Taylor, Jess Tsimeris:
  OzCHI '21: 33rd Australian Conference on Human-Computer Interaction, Melbourne, VI, Australia, 30 November 2021 - 2 December 2021. ACM 2021, ISBN 978-1-4503-9598-4 [contents]
• 2020
• 
  Mark R. Brinton, Elliott Barcikowski, Tyler S. Davis, Michael D. Paskett, Jacob A. George, Gregory A. Clark:
  Portable Take-Home System Enables Proportional Control and High-Resolution Data Logging With a Multi-Degree-of-Freedom Bionic Arm. Frontiers Robotics AI 7: 559034 (2020)
• 
  Kevin L. Howe, Bruno Contreras-Moreira, Nishadi De Silva, Gareth Maslen, Wasiu A. Akanni, James E. Allen, Jorge Álvarez-Jarreta, Matthieu Barba, Dan M. Bolser, Lahcen Cambell, Manuel Carbajo, Marc Chakiachvili, Mikkel B. Christensen, Carla A. Cummins, Alayne Cuzick, Paul Davis, Silvie Fexova, Astrid Gall, Nancy George, Laurent Gil, Parul Gupta, Kim E. Hammond-Kosack, Erin Haskell, Sarah E. Hunt, Pankaj Jaiswal, Sophie H. Janacek, Paul J. Kersey, Nick Langridge, Uma Maheswari, Thomas Maurel, Mark D. McDowall, Benjamin Moore, Matthieu Muffato, Guy Naamati, Sushma Naithani, Andrew Olson, Irene Papatheodorou, Mateus Patricio, Michael Paulini, Helder Pedro, Emily Perry, Justin Preece, Marc Rosello, Matthew Russell, Vasily Sitnik, Daniel M. Staines, Joshua C. Stein, Marcela K. Tello-Ruiz, Stephen J. Trevanion, Martin Urban, Sharon Wei, Doreen Ware, Gary Williams, Andrew D. Yates, Paul Flicek:
  Ensembl Genomes 2020 - enabling non-vertebrate genomic research. Nucleic Acids Res. 48(Database-Issue): D689-D695 (2020)
• 
  Lisa M. Rasmussen, Courtney E. Williams, Mary M. Hausfeld, George C. Banks, Bailey C. Davis:
  Authorship Policies at U.S. Doctoral Universities: A Review and Recommendations for Future Policies. Sci. Eng. Ethics 26(6): 3393-3413 (2020)
• 
  Chongyuan Zhang, Wilson A. Craine, Rebecca J. McGee, George J. Vandemark, James B. Davis, Jack Brown, Scot H. Hulbert, Sindhuja Sankaran:
  Image-Based Phenotyping of Flowering Intensity in Cool-Season Crops. Sensors 20(5): 1450 (2020)
• 
  William F. Godoy, Norbert Podhorszki, Ruonan Wang, Chuck Atkins, Greg Eisenhauer, Junmin Gu, Philip E. Davis, Jong Choi, Kai Germaschewski, Kevin A. Huck, Axel Huebl, Mark Kim, James Kress, Tahsin M. Kurç, Qing Liu, Jeremy Logan, Kshitij Mehta, George Ostrouchov, Manish Parashar, Franz Poeschel, David Pugmire, Eric Suchyta, Keichi Takahashi, Nick Thompson, Seiji Tsutsumi, Lipeng Wan, Matthew Wolf, Kesheng Wu, Scott Klasky:
  ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management. SoftwareX 12: 100561 (2020)
• 
  Vijay Janapa Reddi, Christine Cheng, David Kanter, Peter Mattson, Guenther Schmuelling, Carole-Jean Wu, Brian Anderson, Maximilien Breughe, Mark Charlebois, William Chou, Ramesh Chukka, Cody Coleman, Sam Davis, Pan Deng, Greg Diamos, Jared Duke, Dave Fick, J. Scott Gardner, Itay Hubara, Sachin Idgunji, Thomas B. Jablin, Jeff Jiao, Tom St. John, Pankaj Kanwar, David Lee, Jeffery Liao, Anton Lokhmotov, Francisco Massa, Peng Meng, Paulius Micikevicius, Colin Osborne, Gennady Pekhimenko, Arun Tejusve Raghunath Rajan, Dilip Sequeira, Ashish Sirasao, Fei Sun, Hanlin Tang, Michael Thomson, Frank Wei, Ephrem Wu, Lingjie Xu, Koichi Yamada, Bing Yu, George Yuan, Aaron Zhong, Peizhao Zhang, Yuchen Zhou:
  MLPerf Inference Benchmark. ISCA 2020: 446-459
• 2019
• 
  Christopher Longhurst, Taylor Davis, Amy Maneker, H. C. Eschenroeder Jr., Rachel Dunscombe, George Reynolds, Brian J. Clay, Thomas Moran, David Graham, Shannon M. Dean, Julia Adler-Milstein:
  Local Investment in Training Drives Electronic Health Record User Satisfaction. Appl. Clin. Inform. 10(02): 331-335 (2019)
• 
  Erwei Wang, James J. Davis, Ruizhe Zhao, Ho-Cheung Ng, Xinyu Niu, Wayne Luk, Peter Y. K. Cheung, George A. Constantinides:
  Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going. ACM Comput. Surv. 52(2): 40:1-40:39 (2019)
• 
  Erwei Wang, James J. Davis, Ruizhe Zhao, Ho-Cheung Ng, Xinyu Niu, Wayne Luk, Peter Y. K. Cheung, George A. Constantinides:
  Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going. CoRR abs/1901.06955 (2019)

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