• 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 115 matches

• 2023
• 
  David J. Albers, Melike Sirlanci, Matthew E. Levine, Jan Claassen, Caroline Der Nigoghossian, George Hripcsak:
  Interpretable physiological forecasting in the ICU using constrained data assimilation and electronic health record data. J. Biomed. Informatics 145: 104477 (2023)
• 
  Marissa Burgermaster, Pooja M. Desai, Elizabeth M. Heitkemper, Filippa Juul, Elliot G. Mitchell, Meghan Reading Turchioe, David J. Albers, Matthew E. Levine, Dagny Larson, Lena Mamykina:
  Who needs what (features) when? Personalizing engagement with data-driven self-management to improve health equity. J. Biomed. Informatics 144: 104419 (2023)
• 
  David B. Wax, Ronald A. Kahn, Matthew A. Levin:
  A Web-Based Reporting System for Reviewing Local Practice Patterns of Anesthesiologists Derived from the Electronic Medical Record. J. Medical Syst. 47(1): 28 (2023)
• 
  Brian Chell, Matthew J. LeVine, Leigha Capra, Jerry J. Sellers, Paul T. Grogan:
  New observing strategies testbed: A digital prototyping platform for distributed space missions. Syst. Eng. 26(5): 519-530 (2023)
• 
  Alexander Herzog, Kanishka Rao, Karol Hausman, Yao Lu, Paul Wohlhart, Mengyuan Yan, Jessica Lin, Montserrat Gonzalez Arenas, Ted Xiao, Daniel Kappler, Daniel Ho, Jarek Rettinghouse, Yevgen Chebotar, Kuang-Huei Lee, Keerthana Gopalakrishnan, Ryan Julian, Adrian Li, Chuyuan Fu, Bob Wei, Sangeetha Ramesh, Khem Holden, Kim Kleiven, David J. Rendleman, Sean Kirmani, Jeffrey Bingham, Jonathan Weisz, Ying Xu, Wenlong Lu, Matthew Bennice, Cody Fong, David Do, Jessica Lam, Yunfei Bai, Benjie Holson, Michael Quinlan, Noah Brown, Mrinal Kalakrishnan, Julian Ibarz, Peter Pastor, Sergey Levine:
  Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators. Robotics: Science and Systems 2023
• 
  Ke Alexander Wang, Matthew E. Levine, Jiaxin Shi, Emily B. Fox:
  Learning Absorption Rates in Glucose-Insulin Dynamics from Meal Covariates. CoRR abs/2304.14300 (2023)
• 
  Alexander Herzog, Kanishka Rao, Karol Hausman, Yao Lu, Paul Wohlhart, Mengyuan Yan, Jessica Lin, Montserrat Gonzalez Arenas, Ted Xiao, Daniel Kappler, Daniel Ho, Jarek Rettinghouse, Yevgen Chebotar, Kuang-Huei Lee, Keerthana Gopalakrishnan, Ryan Julian, Adrian Li, Chuyuan Kelly Fu, Bob Wei, Sangeetha Ramesh, Khem Holden, Kim Kleiven, David Rendleman, Sean Kirmani, Jeff Bingham, Jonathan Weisz, Ying Xu, Wenlong Lu, Matthew Bennice, Cody Fong, David Do, Jessica Lam, Yunfei Bai, Benjie Holson, Michael Quinlan, Noah Brown, Mrinal Kalakrishnan, Julian Ibarz, Peter Pastor, Sergey Levine:
  Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators. CoRR abs/2305.03270 (2023)
• 2022
• 
  John A. Turner, James F. Belak, Nathan Barton, Matthew T. Bement, Neil N. Carlson, Robert Carson, Stephen Dewitt, Jean-Luc Fattebert, Neil Eugene Hodge, Zechariah Jibben, Wayne E. King, Lyle Levine, Christopher K. Newman, Alex Plotkowski, Balasubramaniam Radhakrishnan, Samuel Temple Reeve, Matthew Rolchigo, Adrian S. Sabau, Stuart R. Slattery, Benjamin Stump:
  ExaAM: Metal additive manufacturing simulation at the fidelity of the microstructure. Int. J. High Perform. Comput. Appl. 36(1): 13-39 (2022)
• 
  Maitreyi Ashok, Matthew J. Turner, Ronald L. Walsworth, Edlyn V. Levine, Anantha P. Chandrakasan:
  Hardware Trojan Detection Using Unsupervised Deep Learning on Quantum Diamond Microscope Magnetic Field Images. ACM J. Emerg. Technol. Comput. Syst. 18(4): 67:1-67:25 (2022)
• 
  Jeremiah Hinson, Eili Y. Klein, Aria Smith, Matthew F. Toerper, Trushar Dungarani, David Hager, Peter Hill, Gabor Kelen, Joshua D. Niforatos, R. Scott Stephens, Alexandra T. Strauss, Scott Levin:
  Multisite implementation of a workflow-integrated machine learning system to optimize COVID-19 hospital admission decisions. npj Digit. Medicine 5 (2022)
• 
  Tony Shu, Christopher Shallal, Ethan Chun, Aashini Shah, Angel Bu, Daniel S. Levine, Seong Ho Yeon, Matthew E. Carney, Hyungeun Song, Tsung-Han Hsieh, Hugh M. Herr:
  Modulation of Prosthetic Ankle Plantarflexion Through Direct Myoelectric Control of a Subject-Optimized Neuromuscular Model. IEEE Robotics Autom. Lett. 7(3): 7620-7627 (2022)
• 
  Tony Shu, Christopher Shallal, Ethan Chun, Aashini Shah, Angel Bu, Daniel S. Levine, Seong Ho Yeon, Matthew E. Carney, Hyungeun Song, Tsung-Han Hsieh, Hugh M. Herr:
  Modulation of Prosthetic Ankle Plantarflexion Through Direct Myoelectric Control of a Subject-Optimized Neuromuscular Model. BioRob 2022: 1-8
• 
  Chengshu Li, Ruohan Zhang, Josiah Wong, Cem Gokmen, Sanjana Srivastava, Roberto Martín-Martín, Chen Wang, Gabrael Levine, Michael Lingelbach, Jiankai Sun, Mona Anvari, Minjune Hwang, Manasi Sharma, Arman Aydin, Dhruva Bansal, Samuel Hunter, Kyu-Young Kim, Alan Lou, Caleb R. Matthews, Ivan Villa-Renteria, Jerry Huayang Tang, Claire Tang, Fei Xia, Silvio Savarese, Hyowon Gweon, Karen Liu, Jiajun Wu, Li Fei-Fei:
  BEHAVIOR-1K: A Benchmark for Embodied AI with 1, 000 Everyday Activities and Realistic Simulation. CoRL 2022: 80-93
• 
  Charles Packer, Nicholas Rhinehart, Rowan Thomas McAllister, Matthew A. Wright, Xin Wang, Jeff He, Sergey Levine, Joseph E. Gonzalez:
  Is Anyone There? Learning a Planner Contingent on Perceptual Uncertainty. CoRL 2022: 1607-1617
• 
  Maitreyi Ashok, Matthew J. Turner, Ronald L. Walsworth, Edlyn V. Levine, Anantha P. Chandrakasan:
  Hardware Trojan Detection Using Unsupervised Deep Learning on Quantum Diamond Microscope Magnetic Field Images. CoRR abs/2204.14228 (2022)
• 2021
• 
  Eyal Klang, Matthew A. Levin, Shelly Soffer, Alexis Zebrowski, Benjamin S. Glicksberg, Brendan G. Carr, Jolion Mcgreevy, David L. Reich, Robert Freeman:
  A Simple Free-Text-like Method for Extracting Semi-Structured Data from Electronic Health Records: Exemplified in Prediction of In-Hospital Mortality. Big Data Cogn. Comput. 5(3): 40 (2021)
• 
  Yuzhe Lu, Kairong Jiang, Joshua A. Levine, Matthew Berger:
  Compressive Neural Representations of Volumetric Scalar Fields. Comput. Graph. Forum 40(3): 135-146 (2021)
• 
  Zhenge Zhao, Danilo Motta, Matthew Berger, Joshua A. Levine, Ismail B. Kuzucu, Robert B. Fleischman, Afonso Paiva, Carlos Scheidegger:
  STFT-LDA: An algorithm to facilitate the visual analysis of building seismic responses. Inf. Vis. 20(4) (2021)
• 
  Peter D. Sottile, David J. Albers, Peter E. Dewitt, Seth Russell, J. N. Stroh, David P. Kao, Bonnie Adrian, Matthew E. Levine, Ryan Mooney, Lenny Larchick, Jean S. Kutner, Matthew K. Wynia, Jeffrey J. Glasheen, Tellen D. Bennett:
  Real-time electronic health record mortality prediction during the COVID-19 pandemic: a prospective cohort study. J. Am. Medical Informatics Assoc. 28(11): 2354-2365 (2021)
• 
  Elliot G. Mitchell, Esteban G. Tabak, Matthew E. Levine, Lena Mamykina, David J. Albers:
  Enabling personalized decision support with patient-generated data and attributable components. J. Biomed. Informatics 113: 103639 (2021)
• 
  David B. Wax, Abrar Adeel, Jia Huang, Joshua Villar, Matthew A. Levin:
  Click for Help: An Anesthesiology Department Messaging System. J. Medical Syst. 45(6): 68 (2021)
• 
  David J. Albers, Matthew E. Levine, Bruce J. Gluckman, Henry N. Ginsberg, George Hripcsak, Lena Mamykina:
  Correction: Personalized glucose forecasting for type 2 diabetes using data assimilation. PLoS Comput. Biol. 17(8) (2021)
• 
  Zhe Wang, Dylan Cashman, Mingwei Li, Jixian Li, Matthew Berger, Joshua A. Levine, Remco Chang, Carlos Scheidegger:
  NeuralCubes: Deep Representations for Visual Data Exploration. IEEE BigData 2021: 550-561
• 
  Lena Mamykina, Arlene M. Smaldone, Suzanne R. Bakken, Noemie Elhadad, Elliot G. Mitchell, Pooja M. Desai, Matthew E. Levine, Jonathan N. Tobin, Andrea Cassells, Patricia G. Davidson, David J. Albers, George Hripcsak:
  Scaling Up HCI Research: from Clinical Trials to Deployment in the Wild. CHI Extended Abstracts 2021: 50:1-50:6
• 
  Elliot G. Mitchell, Elizabeth M. Heitkemper, Marissa Burgermaster, Matthew E. Levine, Yishen Miao, Maria L. Hwang, Pooja M. Desai, Andrea Cassells, Jonathan N. Tobin, Esteban G. Tabak, David J. Albers, Arlene M. Smaldone, Lena Mamykina:
  From Reflection to Action: Combining Machine Learning with Expert Knowledge for Nutrition Goal Recommendations. CHI 2021: 206:1-206:17
• 
  Wei-Yu Chen, Anat Levin, Matthew O'Toole, Aswin C. Sankaranarayanan:
  Reference Wave Design for Wavefront Sensing. ICCP 2021: 1-15
• 
  Nicholas Rhinehart, Jeff He, Charles Packer, Matthew A. Wright, Rowan McAllister, Joseph E. Gonzalez, Sergey Levine:
  Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models. ICRA 2021: 13663-13669
• 
  Peng Hao, Zhensong Wei, Danial Esaid, Nigel Williams, Aravind Kailas, Pascal Amar, Kyle Palmeter, Lennard Levin, Stephen Orens, Matthew J. Barth, Kanok Boriboonsomsin:
  Connected Vehicle-based Truck Eco-Driving: A Simulation Study. ITSC 2021: 1592-1597
• 
  Dave Levin, Alan Mislove, Johanna Amann, Matthew Luckie:
  IMC '21: ACM Internet Measurement Conference, Virtual Event, USA, November 2-4, 2021. ACM 2021, ISBN 978-1-4503-9129-0 [contents]
• 
  Yuzhe Lu, Kairong Jiang, Joshua A. Levine, Matthew Berger:
  Compressive Neural Representations of Volumetric Scalar Fields. CoRR abs/2104.04523 (2021)

skipping 85 more matches