• 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 69 matches

• 2024
• 
  Marnee J. McKay, Kenneth Arnold Weber II, Evert O. Wesselink, Zachary A. Smith, Rebecca Abbott, David B. Anderson, Claire E. Ashton-James, John Atyeo, Aaron J. Beach, Joshua Burns, Stephen Clarke, Natalie J. Collins, Michel W. Coppieters, Jon Cornwall, Rebecca J. Crawford, Enrico De Martino, Adam G. Dunn, Jillian P. Eyles, Henry J. Feng, Maryse Fortin, Melinda M. Franettovich Smith, Graham J. Galloway, Ziba Gandomkar, Sarah Glastras, Luke A. Henderson, Julie A. Hides, Claire E. Hiller, Sarah N. Hilmer, Mark A. Hoggarth, Brian Kim, Navneet Lal, Laura Laporta, John S. Magnussen, Sarah Maloney, Lyn March, Andrea G. Nackley, Shaun P. O'leary, Anneli Peolsson, Zuzana Perraton, Annelies L. Pool-Goudzwaard, Margaret Schnitzler, Amee L. Seitz, Adam I. Semciw, Philip W. Sheard, Andrew C. Smith, Suzanne J. Snodgrass, Justin Sullivan, Vienna Tran, Stephanie Valentin, David M. Walton, Laurelie R. Wishart, James M. Elliott:
  MuscleMap: An Open-Source, Community-Supported Consortium for Whole-Body Quantitative MRI of Muscle. J. Imaging 10(11): 262 (2024)
• 
  Joel S. Burma, Ibukunoluwa K. Oni, Andrew P. Lapointe, Selina Rattana, Kathryn J. Schneider, Chantel T. Debert, Jonathan D. Smirl, Jeff F. Dunn:
  Quantifying neurovascular coupling through a concurrent assessment of arterial, capillary, and neuronal activation in humans: A multimodal EEG-fNIRS-TCD investigation. NeuroImage 302: 120910 (2024)
• 
  Michael Higgins, Dominic Widdows, Beth Ann Hockey, Akshay Hazare, Kristen Howell, Gwen Christian, Sujit Mathi, Chris Brew, Andrew Maurer, George Bonev, Matthew Dunn, Joseph Bradley:
  Actionable conversational quality indicators for improving task-oriented dialog systems. Nat. Lang. Eng. 30(6): 1229-1254 (2024)
• 
  Li-Dunn Chen, Michael A. Caprio, Devin M. Chen, Andrew J. Kouba, Carrie K. Kouba:
  Enhancing predictive performance for spectroscopic studies in wildlife science through a multi-model approach: A case study for species classification of live amphibians. PLoS Comput. Biol. 20(2) (2024)
• 
  Joel S. Burma, James K. Griffiths, Andrew P. Lapointe, Ibukunoluwa K. Oni, Ateyeh Soroush, Joseph Carere, Jonathan D. Smirl, Jeff F. Dunn:
  Heart Rate Variability and Pulse Rate Variability: Do Anatomical Location and Sampling Rate Matter? Sensors 24(7): 2048 (2024)
• 
  Kevin Dunnell, Gauri Agarwal, Pat Pataranutaporn, Andrew Lippman, Pattie Maes:
  AI-Generated Media for Exploring Alternate Realities. CHI Extended Abstracts 2024: 28:1-28:8
• 
  Kevin Dunnell, Andy Lippman:
  Form Forge: Latent Space Exploration of Architectural Forms via Explicit Latent Variable Manipulation. ICCC 2024: 451-455
• 
  Yining Jiao, Carlton J. Zdanski, Julia S. Kimbell, Andrew Prince, Cameron Worden, Samuel Kirse, Christopher Rutter, Benjamin Shields, William Dunn, Jisan Mahmud, Marc Niethammer:
  NAISR: A 3D Neural Additive Model for Interpretable Shape Representation. ICLR 2024
• 
  Nikhil Khandekar, Qiao Jin, Guangzhi Xiong, Soren Dunn, Serina S. Applebaum, Zain Anwar, Maame Sarfo-Gyamfi, Conrad W. Safranek, Abid A Anwar, Andrew Zhang, Aidan Gilson, Maxwell B. Singer, Amisha D. Dave, Andrew Taylor, Aidong Zhang, Qingyu Chen, Zhiyong Lu:
  MedCalc-Bench: Evaluating Large Language Models for Medical Calculations. NeurIPS 2024
• 
  Nikhil Khandekar, Qiao Jin, Guangzhi Xiong, Soren Dunn, Serina S. Applebaum, Zain Anwar, Maame Sarfo-Gyamfi, Conrad W. Safranek, Abid A Anwar, Andrew Zhang, Aidan Gilson, Maxwell B. Singer, Amisha D. Dave, Andrew Taylor, Aidong Zhang, Qingyu Chen, Zhiyong Lu:
  MedCalc-Bench: Evaluating Large Language Models for Medical Calculations. CoRR abs/2406.12036 (2024)
• 
  Kevin Dunnell, Andy Lippman:
  Form Forge: Latent Space Exploration of Architectural Forms via Explicit Latent Variable Manipulation. CoRR abs/2407.05079 (2024)
• 
  Kevin Dunnell, Andrew Stoddard:
  Biotic Browser: Applying StreamingLLM as a Persistent Web Browsing Co-Pilot. CoRR abs/2411.10454 (2024)
• 2023
• 
  Alexis Dimanche, David R. Miller, Andrew K. Dunn:
  Considerations for Intraoperative Laser Speckle Contrast Imaging for Vessel Flow Visualization. BioCAS 2023: 1-4
• 
  Baris Karacan, Andrew D. Boyd, Karen Dunn Lopez, Pamela Martyn-Nemeth, Daniel Fraczkowski, Haleh Vatani, Carolyn Dickens, Barbara Di Eugenio:
  Probing the EHR for Standardized Nursing Data. CHASE 2023: 209-210
• 
  Kevin Dunnell, Trudy Painter, Andrew Stoddard, Andrew Lippman:
  Latent Lab: Large Language Models for Knowledge Exploration. ICCC 2023: 417-421
• 
  Yining Jiao, Carlton J. Zdanski, Julia S. Kimbell, Andrew Prince, Cameron Worden, Samuel Kirse, Christopher Rutter, Benjamin Shields, William Dunn, Jisan Mahmud, Marc Niethammer:
  NAISR: A 3D Neural Additive Model for Interpretable Shape Representation. CoRR abs/2303.09234 (2023)
• 
  Boris Kovalerchuk, Andrew Dunn, Alex Worland, Sridevi Narayana Wagle:
  Interactive Decision Tree Creation and Enhancement with Complete Visualization for Explainable Modeling. CoRR abs/2305.18432 (2023)
• 
  Kevin Dunnell, Trudy Painter, Andrew Stoddard, Andy Lippman:
  Latent Lab: Large Language Models for Knowledge Exploration. CoRR abs/2311.13051 (2023)
• 2022
• 
  Joel S. Burma, Andrew P. Lapointe, Ateyeh Soroush, Ibukunoluwa K. Oni, Jonathan D. Smirl, Jeff F. Dunn:
  Letter to the Editor: Sampling rate and heart rate variability: On metrics and health outcomes. J. Biomed. Informatics 131: 104115 (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)
• 
  Dylan Perkins, Shelley Knuth, Thea Lindquist, Andrew M. Johnson, Nickoal Eichmann-Kalwara, Timothy Dunn:
  Challenges and Lessons Learned of Formalizing the Partnership Between Libraries and Research Computing Groups to Support Research: The Center for Research Data and Digital Scholarship. PEARC 2022: 71:1-71:4
• 
  Alexander Dunn, John Dagdelen, Nicholas Walker, Sanghoon Lee, Andrew S. Rosen, Gerbrand Ceder, Kristin A. Persson, Anubhav Jain:
  Structured information extraction from complex scientific text with fine-tuned large language models. CoRR abs/2212.05238 (2022)
• 2021
• 
  Joel S. Burma, Andrew P. Lapointe, Ateyeh Soroush, Ibukunoluwa K. Oni, Jonathan D. Smirl, Jeff F. Dunn:
  Insufficient sampling frequencies skew heart rate variability estimates: Implications for extracting heart rate metrics from neuroimaging and physiological data. J. Biomed. Informatics 123: 103934 (2021)
• 
  Samuel A. Mihelic, William A. Sikora, Ahmed M. Hassan, Michael R. Williamson, Theresa A. Jones, Andrew K. Dunn:
  Segmentation-Less, Automated, Vascular Vectorization. PLoS Comput. Biol. 17(10) (2021)
• 
  Andrew P. Lapointe, Jessica N. Ritchie, Rachel V. Vitali, Joel S. Burma, Ateyeh Soroush, Ibukunoluwa K. Oni, Jeff F. Dunn:
  Internal Consistency of Sway Measures via Embedded Head-Mounted Accelerometers: Implications for Neuromotor Investigations. Sensors 21(13): 4492 (2021)
• 
  Mustafa Ozkaynak, Karen Dunn Lopez, Adam Wright, Andrew D. Boyd, Blackford Middleton:
  Adaptable Patient facing and Clinical Decision Support Systems: The Next Frontier. AMIA 2021
• 
  Gregory Falco, Paul Cornish, Sadie Creese, Madeline Carr, Myriam Dunn Cavelty, Claudia Eckert, Herbert Lin, Gen Goto, Jamie Saunders, Andrew Grotto, Howard E. Shrobe, Sean Kanuck, Lawrence Susskind, Arvind Parthasarathi:
  Cyber Crossroads: A Global Research Collaborative on Cyber Risk Governance. CoRR abs/2107.14065 (2021)
• 
  Michael Higgins, Dominic Widdows, Chris Brew, Gwen Christian, Andrew Maurer, Matthew Dunn, Sujit Mathi, Akshay Hazare, George Bonev, Beth Ann Hockey, Kristen Howell, Joseph Bradley:
  Actionable Conversational Quality Indicators for Improving Task-Oriented Dialog Systems. CoRR abs/2109.11064 (2021)
• 2020
• 
  Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Christopher Chute, Robyn L. Ball, Norah Borus, Andrew Huang, Bhavik N. Patel, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Joseph Bledsoe, Katie S. Shpanskaya, Abhay Dhaliwal, Roham Zamanian, Andrew Y. Ng, Matthew P. Lungren:
  PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. npj Digit. Medicine 3 (2020)
• 
  Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Christopher Chute, Robyn L. Ball, Norah Borus, Andrew Huang, Bhavik N. Patel, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Joseph Bledsoe, Katie S. Shpanskaya, Abhay Dhaliwal, Roham Zamanian, Andrew Y. Ng, Matthew P. Lungren:
  Author Correction: PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. npj Digit. Medicine 3 (2020)

skipping 39 more matches