• 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 1,142 matches

• 2024
• 
  John Tauber, Scott L. Brincat, Emily P. Stephen, Jacob A. Donoghue, Leo Kozachkov, Emery N. Brown, Earl K. Miller:
  Propofol-mediated Unconsciousness Disrupts Progression of Sensory Signals through the Cortical Hierarchy. J. Cogn. Neurosci. 36(2): 394-413 (2024)
• 
  Brittany Davis Pierson, Dustin Arendt, John Miller, Matthew E. Taylor:
  Comparing explanations in RL. Neural Comput. Appl. 36(1): 505-516 (2024)
• 
  John N. Angelis, Rajendran Murthy, Tanya Beaulieu, Joseph C. Miller:
  Better Angry Than Afraid: The Case of Post Data Breach Emotions on Customer Engagement. IEEE Trans. Engineering Management 71: 2593-2605 (2024)
• 
  Mathias Brossard, Guilhem Bryant, Basma El Gaabouri, Xinxin Fan, Alexandre Ferreira, Edmund Grimley-Evans, Christopher Haster, Evan Johnson, Derek Miller, Fan Mo, Dominic P. Mulligan, Nick Spinale, Eric Van Hensbergen, Hugo J. M. Vincent, Shale Xiong:
  Private Delegated Computations Using Strong Isolation. IEEE Trans. Emerg. Top. Comput. 12(1): 386-398 (2024)
• 
  John A. Miller, Mohammed Aldosari, Farah Saeed, Nasid Habib Barna, Subas Rana, Ismailcem Budak Arpinar, Ninghao Liu:
  A Survey of Deep Learning and Foundation Models for Time Series Forecasting. CoRR abs/2401.13912 (2024)
• 
  John Joshua Miller, Simon Mak:
  Targeted Variance Reduction: Robust Bayesian Optimization of Black-Box Simulators with Noise Parameters. CoRR abs/2403.03816 (2024)
• 
  Tianshu Huang, John Miller, Akarsh Prabhakara, Tao Jin, Tarana Laroia, Zico Kolter, Anthony Rowe:
  DART: Implicit Doppler Tomography for Radar Novel View Synthesis. CoRR abs/2403.03896 (2024)
• 2023
• 
  Suraiya Akhter, John H. Miller:
  BaPreS: a software tool for predicting bacteriocins using an optimal set of features. BMC Bioinform. 24(1): 313 (2023)
• 
  Jingyu Zhou, Meng Xu, Alexander Shraer, Bala Namasivayam, Alex Miller, Evan Tschannen, Steve Atherton, Andrew J. Beamon, Rusty Sears, John Leach, Dave Rosenthal, Xin Dong, Will Wilson, Ben Collins, David Scherer, Alec Grieser, Yang Liu, Alvin Moore, Bhaskar Muppana, Xiaoge Su, Vishesh Yadav:
  FoundationDB: A Distributed Key-Value Store. Commun. ACM 66(6): 97-105 (2023)
• 
  David V. Pynadath, Bistra Dilkina, David C. Jeong, Richard S. John, Stacy C. Marsella, Chirag Merchant, Lynn C. Miller, Stephen J. Read:
  Disaster world. Comput. Math. Organ. Theory 29(1): 84-117 (2023)
• 
  Jessica J. Márquez, Tamsyn Edwards, John A. Karasinski, Candice N. Lee, Megan C. Shyr, Casey L. Miller, Summer L. Brandt:
  Human Performance of Novice Schedulers for Complex Spaceflight Operations Timelines. Hum. Factors 65(6): 1183-1198 (2023)
• 
  Abigail C. Dommer, Lorenzo Casalino, Fiona L. Kearns, Mia Rosenfeld, Nicholas Wauer, Surl-Hee Ahn, John Russo, A. Sofia F. Oliveira, Clare Morris, Anthony T. Bogetti, Anda Trifan, Alexander Brace, Terra Sztain, Austin Clyde, Heng Ma, S. Chakra Chennubhotla, Hyungro Lee, Matteo Turilli, Syma Khalid, Teresa Tamayo-Mendoza, Matthew Welborn, Anders S. Christensen, Daniel G. A. Smith, Zhuoran Qiao, Sai K. Sirumalla, Michael O'Connor, Frederick R. Manby, Anima Anandkumar, David J. Hardy, James C. Phillips, Abraham C. Stern, Josh Romero, David Clark, Mitchell Dorrell, Tom Maiden, Lei Huang, John D. McCalpin, Christopher J. Woods, Alan Gray, Matt Williams, Bryan Barker, Harinda Rajapaksha, Richard Pitts, Tom Gibbs, John E. Stone, Daniel M. Zuckerman, Adrian J. Mulholland, Thomas F. Miller III, Shantenu Jha, Arvind Ramanathan, Lillian T. Chong, Rommie E. Amaro:
  #COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol. Int. J. High Perform. Comput. Appl. 37(1): 28-44 (2023)
• 
  Saurabh Mittal, Robert L. Wittman, John Gibson, Josh Huffman, Hans Miller:
  Providing a User Extensible Service-Enabled Multi-Fidelity Hybrid Cloud-Deployable SoS Test and Evaluation (T&E) Infrastructure: Application of Modeling and Simulation (M&S) as a Service (MSaaS). Inf. 14(10): 528 (2023)
• 
  Stan Ahalt, Paul Avillach, Rebecca R. Boyles, Kira Bradford, Steven Cox, Brandi Davis-Dusenbery, Robert L. Grossman, Ashok K. Krishnamurthy, Alisa Manning, Benedict Paten, Anthony Philippakis, Ingrid Borecki, Shu Hui Chen, Jon Kaltman, Sweta Ladwa, Chip Schwartz, Alastair Thomson, Sarah Davis, Alison Leaf, Jessica Lyons, Elizabeth Sheets, Joshua C. Bis, Matthew P. Conomos, Alessandro Culotti, Thomas N. Desain, Jack DiGiovanna, Milan Domazet, Stephanie M. Gogarten, Alba Gutiérrez-Sacristán, Tim Harris, Benjamin D. Heavner, Deepti Jain, Brian O'Connor, Kevin Osborn, Danielle Pillion, Jacob Pleiness, Ken Rice, Garrett Rupp, Arnaud Serret-Larmande, Albert Smith, Jason P. Stedman, Adrienne Stilp, Teresa Barsanti, John B. Cheadle, Christopher Erdmann, Brandy Farlow, Allie Gartland-Gray, Julie Hayes, Hannah Hiles, Paul Kerr, Chris Lenhardt, Tom Madden, Joanna O. Mieczkowska, Amanda Miller, Patrick Patton, Marcie Rathbun, Stephanie Suber, Joe Asare:
  Building a collaborative cloud platform to accelerate heart, lung, blood, and sleep research. J. Am. Medical Informatics Assoc. 30(7): 1293-1300 (2023)
• 
  Sijia Liu, Andrew Wen, Liwei Wang, Huan He, Sunyang Fu, Robert T. Miller, Andrew E. Williams, Daniel R. Harris, Ramakanth Kavuluru, Mei Liu, Noor Abu-El-Rub, Dalton Schutte, Rui Zhang, Masoud Rouhizadeh, John D. Osborne, Yongqun He, Umit Topaloglu, Stephanie S. Hong, Joel H. Saltz, Thomas Schaffter, Emily R. Pfaff, Christopher G. Chute, Tim Duong, Melissa A. Haendel, Rafael Fuentes, Peter Szolovits, Hua Xu, Hongfang Liu:
  An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C). J. Am. Medical Informatics Assoc. 30(12): 2036-2040 (2023)
• 
  Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, John R. Caskey, Brihat Sharma, Matthew M. Churpek, Majid Afshar:
  DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing. J. Biomed. Informatics 138: 104286 (2023)
• 
  Xiongchao Chen, Bo Zhou, Huidong Xie, Xueqi Guo, Jiazhen Zhang, James S. Duncan, Edward J. Miller, Albert J. Sinusas, John A. Onofrey, Chi Liu:
  DuSFE: Dual-Channel Squeeze-Fusion-Excitation co-attention for cross-modality registration of cardiac SPECT and CT. Medical Image Anal. 88: 102840 (2023)
• 
  Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Anna Wuest, Sarthak Pati, Hasan Kassem, Maximilian Zenk, Ujjwal Baid, Prakash Narayana Moorthy, Alexander Chowdhury, Junyi Guo, Sahil S. Nalawade, Jacob Rosenthal, David Kanter, Maria Xenochristou, Daniel J. Beutel, Verena Chung, Timothy Bergquist, James A. Eddy, Abubakar Abid, Lewis Tunstall, Omar Sanseviero, Dimitrios Dimitriadis, Yiming Qian, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Srini Bala, Victor Bittorf, Sreekar Reddy Puchala, Biagio Ricciuti, Soujanya Samineni, Eshna Sengupta, Akshay Chaudhari, Cody Coleman, Bala Desinghu, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Xinyuan Huang, Satyananda Kashyap, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Cassiano Ferro Moraes, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Abhishek Singh, Jayaraman J. Thiagarajan, Jacob Albrecht, Thomas Wolf, Geralyn Miller, Huazhu Fu, Prashant Shah, Daguang Xu, Poonam Yadav, David Talby, Mark M. Awad, Jeremy P. Howard, Michael Rosenthal, Luigi Marchionni, Massimo Loda, Jason M. Johnson, Spyridon Bakas, Peter Mattson:
  Federated benchmarking of medical artificial intelligence with MedPerf. Nat. Mac. Intell. 5(7): 799-810 (2023)
• 
  Lauren M. Sanders, Ryan T. Scott, Jason H. Yang, Amina Ann Qutub, Héctor García Martín, Daniel C. Berrios, Jaden J. A. Hastings, Jon Rask, Graham Mackintosh, Adrienne L. Hoarfrost, Stuart J. Chalk, John Kalantari, Kia Khezeli, Erik L. Antonsen, Joel Babdor, Richard Barker, Sergio E. Baranzini, Afshin Beheshti, Guillermo M. Delgado-Aparicio, Benjamin S. Glicksberg, Casey S. Greene, Melissa A. Haendel, Arif A. Hamid, Philip Heller, Daniel Jamieson, Katelyn J. Jarvis, Svetlana V. Komarova, Matthieu Komorowski, Prachi Kothiyal, Ashish Mahabal, Uri Manor, Christopher E. Mason, Mona Matar, George I. Mias, Jack Miller, Jerry G. Myers Jr., Charlotte A. Nelson, Jonathan Oribello, Seung-Min Park, Patricia Parsons-Wingerter, R. K. Prabhu, Robert J. Reynolds, Amanda Saravia-Butler, Suchi Saria, Aenor Sawyer, Nitin Kumar Singh, Michael Snyder, Frank Soboczenski, Karthik Soman, Corey A. Theriot, David Van Valen, Kasthuri Venkateswaran, Liz Warren, Liz Worthey, Marinka Zitnik, Sylvain V. Costes:
  Biological research and self-driving labs in deep space supported by artificial intelligence. Nat. Mac. Intell. 5(3): 208-219 (2023)
• 
  Ryan T. Scott, Lauren M. Sanders, Erik L. Antonsen, Jaden J. A. Hastings, Seung-Min Park, Graham Mackintosh, Robert J. Reynolds, Adrienne L. Hoarfrost, Aenor Sawyer, Casey S. Greene, Benjamin S. Glicksberg, Corey A. Theriot, Daniel C. Berrios, Jack Miller, Joel Babdor, Richard Barker, Sergio E. Baranzini, Afshin Beheshti, Stuart J. Chalk, Guillermo M. Delgado-Aparicio, Melissa A. Haendel, Arif A. Hamid, Philip Heller, Daniel Jamieson, Katelyn J. Jarvis, John Kalantari, Kia Khezeli, Svetlana V. Komarova, Matthieu Komorowski, Prachi Kothiyal, Ashish Mahabal, Uri Manor, Héctor García Martín, Christopher E. Mason, Mona Matar, George I. Mias, Jerry G. Myers Jr., Charlotte A. Nelson, Jonathan Oribello, Patricia Parsons-Wingerter, R. K. Prabhu, Amina Ann Qutub, Jon Rask, Amanda Saravia-Butler, Suchi Saria, Nitin Kumar Singh, Michael Snyder, Frank Soboczenski, Karthik Soman, David Van Valen, Kasthuri Venkateswaran, Liz Warren, Liz Worthey, Jason H. Yang, Marinka Zitnik, Sylvain V. Costes:
  Biomonitoring and precision health in deep space supported by artificial intelligence. Nat. Mac. Intell. 5(3): 196-207 (2023)
• 
  Morten Warncke-Wang, Rita Ho, Marshall Miller, Isaac Johnson:
  Increasing Participation in Peer Production Communities with the Newcomer Homepage. Proc. ACM Hum. Comput. Interact. 7(CSCW2): 1-26 (2023)
• 
  Noah Miller, Ekaterina R. Stepanova, John Desnoyers-Stewart, Ashu Adhikari, Alexandra Kitson, Patrick Pennefather, Denise T. Quesnel, Katharina Brauns, Anika Friedl-Werner, Alexander C. Stahn, Bernhard E. Riecke:
  Awedyssey: Design Tensions in Eliciting Self-transcendent Emotions in Virtual Reality to Support Mental Well-being and Connection. Conference on Designing Interactive Systems 2023: 189-211
• 
  Nikolos Gurney, John H. Miller, David V. Pynadath:
  The Role of Heuristics and Biases during Complex Choices with an AI Teammate. AAAI 2023: 5993-6001
• 
  Kristina Miller, John Matthew Brewer, Alexander A. Soderlund, Sean Phillips:
  Sensor Safety and Multi-Objective Satellite Control under Nonlinear Dynamics. ACC 2023: 4284-4289
• 
  Subas Rana, Nasid Habib Barna, John A. Miller:
  Exploring the Predictive Power of Correlation and Mutual Information in Attention Temporal Graph Convolutional Network for COVID-19 Forecasting. BigData 2023: 18-33
• 
  Saad Hassan, Yao Ding, Agneya Abhimanyu Kerure, Christi Miller, John Burnett, Emily Biondo, Brenden Gilbert:
  Exploring the Design Space of Automatically Generated Emotive Captions for Deaf or Hard of Hearing Users. CHI Extended Abstracts 2023: 125:1-125:10
• 
  John A. Miller, Nasid Habib Barna, Subas Rana, Ismailcem Budak Arpinar, Ninghao Liu:
  Knowledge Enhanced Deep Learning: Application to Pandemic Prediction. CIC 2023: 42-51
• 
  Ashwin De Silva, Rahul Ramesh, Lyle H. Ungar, Marshall G. Hussain Shuler, Noah J. Cowan, Michael Platt, Chen Li, Leyla Isik, Seung-Eon Roh, Adam Charles, Archana Venkataraman, Brian Caffo, Javier J. How, Justus M. Kebschull, John W. Krakauer, Maxim Bichuch, Kaleab Alemayehu Kinfu, Eva Yezerets, Dinesh Jayaraman, Jong M. Shin, Soledad Villar, Ian Phillips, Carey E. Priebe, Thomas Hartung, Michael I. Miller, Jayanta Dey, Ningyuan Huang, Eric Eaton, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Randal C. Burns, Onyema Osuagwu, Brett Mensh, Alysson R. Muotri, Julia Brown, Chris White, Weiwei Yang, Andrei A. Rusu, Timothy D. Verstynen, Konrad P. Kording, Pratik Chaudhari, Joshua T. Vogelstein:
  Prospective Learning: Principled Extrapolation to the Future. CoLLAs 2023: 347-357
• 
  Nicholas C. Miller, Matt Grupen, John D. Albrecht:
  Recent Advances in GaN HEMT Modeling using Fermi Kinetics Transport. DRC 2023: 1
• 
  Puneet Srivastava, David F. Brown, Louis Mt. Pleasant, Nicholas C. Miller, Michael Elliott, Ryan Gilbert, John R. Jones, Wenhua Zhu, Hong M. Lu, Douglas M. Dugas, Kanin Chu:
  90 nm GaN Technology for Millimeter-Wave Power Applications to W-Band and Beyond. DRC 2023: 1-2

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