• 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 518 matches

• 2024
• 
  Dane Liljestrand, Ryan Johnson, S. McKenzie Skiles, Steven Burian, Josh Christensen:
  Quantifying regional variability of machine-learning-based snow water equivalent estimates across the Western United States. Environ. Model. Softw. 177: 106053 (2024)
• 
  K. J. Schmidt, Aristana Scourtas, Logan T. Ward, Steve Wangen, Marcus Schwarting, Isaac Darling, Ethan Truelove, Aadit Ambadkar, Ribhav Bose, Zoa Katok, Jingrui Wei, Xiangguo Li, Ryan Jacobs, Lane Schultz, Doyeon Kim, Michael C. Ferris, Paul M. Voyles, Dane Morgan, Ian T. Foster, Ben Blaiszik:
  Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science. J. Open Source Softw. 9(93): 5467 (2024)
• 
  Steve Cruz, Ryan Rabinowitz, Manuel Günther, Terrance E. Boult:
  Operational Open-Set Recognition and PostMax Refinement. ECCV (6) 2024: 475-492
• 
  Marie-Laure Zollinger, Peter B. Rønne, Steve Schneider, Peter Y. A. Ryan, Wojciech Jamroga:
  Intelligo Ut Confido: Understanding, Trust and User Experience in Verifiable Receipt-Free E-Voting. E-Vote-ID 2024: 158-174
• 
  Ryan Kerr, Steven H. H. Ding, Li Li, Adrian Taylor:
  Accelerating Autonomous Cyber Operations: A Symbolic Logic Planner Guided Reinforcement Learning Approach. ICNC 2024: 641-647
• 
  Sara Hooshangi, Asma Shakil, Subhasish Dasgupta, Karen C. Davis, Mohammed Farghally, KellyAnn Fitzpatrick, Mirela Gutica, Ryan Hardt, Ellie Lovellette, Steve Riddle, Mohammed Seyam:
  Experiences of Instructors Who Teach Capstone Courses in Computing Fields. ITiCSE (2) 2024
• 
  Clara Belitz, Haejin Lee, Nidhi Nasiar, Stephen E. Fancsali, Steven Ritter, Husni Almoubayyed, Ryan S. Baker, Jaclyn Ocumpaugh, Nigel Bosch:
  Hierarchical Dependencies in Classroom Settings Influence Algorithmic Bias Metrics. LAK 2024: 210-218
• 
  Rikhil Seshadri, Jayant Siva, Angelica Bartholomew, Clara Goebel, Gabriel Wallerstein-King, Beatriz López Morato, Nicholas Heller, Jason Scovell, Rebecca Campbell, Andrew Wood, Michal Ozery-Flato, Vesna Barros, Maria Gabrani, Michal Rosen-Zvi, Resha Tejpaul, Vidhyalakshmi Ramesh, Nikolaos Papanikolopoulos, Subodh Regmi, Ryan Ward, Robert Abouassaly, Steven C. Campbell, Erick Remer, Christopher Weight:
  AI Age Discrepancy: A Novel Parameter for Frailty Assessment in Kidney Tumor Patients. CaPTion@MICCAI 2024: 167-175
• 
  Xin Su, Tiep Le, Steven Bethard, Phillip Howard:
  Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning. NAACL-HLT 2024: 8597-8613
• 
  Rachel Welton Bryson, Ryan Cheek, Sam Clem, Hannah Stevens:
  "You want me to teach what?!": Emerging Technologies, Required Knowledge, and Pedagogical Practice. SIGDOC 2024: 173-177
• 
  Pranav Sukumar, Siddharth Ananth, David O. Kessler, Robert B. Maniker, Ryan Friberg, Rohit Gopalakrishnan, Bettina Schlager, Steven Feiner:
  Visual Guidance for Infant Lumbar Puncture Training in XR. VR Workshops 2024: 1220-1221
• 
  Jorik De Bruycker, Willem Raes, Niraj Altekar, Mike Ryan, Gregory Linkowski, Nobby Stevens:
  Evaluation of an Optical Wireless Positioning System in a Parking Garage. WCNC 2024: 1-5
• 
  K. J. Schmidt, Aristana Scourtas, Logan T. Ward, Steve Wangen, Marcus Schwarting, Isaac Darling, Ethan Truelove, Aadit Ambadkar, Ribhav Bose, Zoa Katok, Jingrui Wei, Xiangguo Li, Ryan Jacobs, Lane Schultz, Doyeon Kim, Michael Ferris, Paul M. Voyles, Dane Morgan, Ian T. Foster, Ben Blaiszik:
  Foundry-ML (latest). Zenodo, 2024 
• 
  K. J. Schmidt, Aristana Scourtas, Logan T. Ward, Steve Wangen, Marcus Schwarting, Isaac Darling, Ethan Truelove, Aadit Ambadkar, Ribhav Bose, Zoa Katok, Jingrui Wei, Xiangguo Li, Ryan Jacobs, Lane Schultz, Doyeon Kim, Michael Ferris, Paul M. Voyles, Dane Morgan, Ian T. Foster, Ben Blaiszik:
  Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science. Version v0.7.4. Zenodo, 2024 [all versions] 
• 
  K. J. Schmidt, Aristana Scourtas, Logan T. Ward, Steve Wangen, Marcus Schwarting, Isaac Darling, Ethan Truelove, Aadit Ambadkar, Ribhav Bose, Zoa Katok, Jingrui Wei, Xiangguo Li, Ryan Jacobs, Lane Schultz, Doyeon Kim, Michael Ferris, Paul M. Voyles, Dane Morgan, Ian T. Foster, Ben Blaiszik:
  Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science. Version 2. Zenodo, 2024 [all versions] 
• 
  K. J. Schmidt, Aristana Scourtas, Logan T. Ward, Steve Wangen, Marcus Schwarting, Isaac Darling, Ethan Truelove, Aadit Ambadkar, Ribhav Bose, Zoa Katok, Jingrui Wei, Xiangguo Li, Ryan Jacobs, Lane Schultz, Doyeon Kim, Michael Ferris, Paul M. Voyles, Dane Morgan, Ian T. Foster, Ben Blaiszik:
  Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science. Version v0.5.0. Zenodo, 2024 [all versions] 
• 
  K. J. Schmidt, Aristana Scourtas, Logan T. Ward, Steve Wangen, Marcus Schwarting, Isaac Darling, Ethan Truelove, Aadit Ambadkar, Ribhav Bose, Zoa Katok, Jingrui Wei, Xiangguo Li, Ryan Jacobs, Lane Schultz, Doyeon Kim, Michael Ferris, Paul M. Voyles, Dane Morgan, Ian T. Foster, Ben Blaiszik:
  Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science. Multiple versions. Zenodo, 2024 [all versions] 
• 
  Michael Ahn, Debidatta Dwibedi, Chelsea Finn, Montse Gonzalez Arenas, Keerthana Gopalakrishnan, Karol Hausman, Brian Ichter, Alex Irpan, Nikhil J. Joshi, Ryan Julian, Sean Kirmani, Isabel Leal, Tsang-Wei Edward Lee, Sergey Levine, Yao Lu, Sharath Maddineni, Kanishka Rao, Dorsa Sadigh, Pannag Sanketi, Pierre Sermanet, Quan Vuong, Stefan Welker, Fei Xia, Ted Xiao, Peng Xu, Steve Xu, Zhuo Xu:
  AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents. CoRR abs/2401.12963 (2024)
• 
  Nathaniel Hudson, J. Gregory Pauloski, Matt Baughman, Alok Kamatar, Mansi Sakarvadia, Logan T. Ward, Ryan Chard, André Bauer, Maksim Levental, Wenyi Wang, Will Engler, Owen Price Skelly, Ben Blaiszik, Rick Stevens, Kyle Chard, Ian T. Foster:
  Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision. CoRR abs/2402.03480 (2024)
• 
  Steven D. Morad, Chris Lu, Ryan Kortvelesy, Stephan Liwicki, Jakob N. Foerster, Amanda Prorok:
  Revisiting Recurrent Reinforcement Learning with Memory Monoids. CoRR abs/2402.09900 (2024)
• 
  Rikhil Seshadri, Jayant Siva, Angelica Bartholomew, Clara Goebel, Gabriel Wallerstein-King, Beatriz López Morato, Nicholas Heller, Jason Scovell, Rebecca Campbell, Andrew Wood, Michal Ozery-Flato, Vesna Barros, Maria Gabrani, Michal Rosen-Zvi, Resha Tejpaul, Vidhyalakshmi Ramesh, Nikolaos Papanikolopoulos, Subodh Regmi, Ryan Ward, Robert Abouassaly, Steven C. Campbell, Erick Remer, Christopher Weight:
  AI Age Discrepancy: A Novel Parameter for Frailty Assessment in Kidney Tumor Patients. CoRR abs/2407.00438 (2024)
• 
  Ryan Steed, Diana Qing, Zhiwei Steven Wu:
  Quantifying Privacy Risks of Public Statistics to Residents of Subsidized Housing. CoRR abs/2407.04776 (2024)
• 
  Samuel Tonks, Cuong Nguyer, Steve Hood, Ryan Musso, Ceridwen Hopely, Steve Titus, Minh Doan, Iain B. Styles, Alexander Krull:
  Can virtual staining for high-throughput screening generalize? CoRR abs/2407.06979 (2024)
• 
  Marie-Laure Zollinger, Peter B. Rønne, Steve Schneider, Peter Y. A. Ryan, Wojtek Jamroga:
  Intelligo ut Confido: Understanding, Trust and User Experience in Verifiable Receipt-Free E-Voting (long version). CoRR abs/2407.13240 (2024)
• 
  Gemmechu Hassena, Jonathan Moon, Ryan Fujii, Andrew Yuen, Noah Snavely, Steve Marschner, Bharath Hariharan:
  ObjectCarver: Semi-automatic segmentation, reconstruction and separation of 3D objects. CoRR abs/2407.19108 (2024)
• 
  Richard Ren, Steven Basart, Adam Khoja, Alice Gatti, Long Phan, Xuwang Yin, Mantas Mazeika, Alexander Pan, Gabriel Mukobi, Ryan H. Kim, Stephen Fitz, Dan Hendrycks:
  Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress? CoRR abs/2407.21792 (2024)
• 
  Jamie C. Overbeek, Alexander Partin, Thomas S. Brettin, Nicholas Chia, Oleksandr Narykov, Priyanka Vasanthakumari, Andreas Wilke, Yitan Zhu, Austin Clyde, Sara Jones, Rohan Gnanaolivu, Yuanhang Liu, Jun Jiang, Chen Wang, Carter Knutson, Andrew D. McNaughton, Neeraj Kumar, Gayara Demini Fernando, Souparno Ghosh, Cesar Sanchez-Villalobos, Ruibo Zhang, Ranadip Pal, M. Ryan Weil, Rick L. Stevens:
  Assessing Reusability of Deep Learning-Based Monotherapy Drug Response Prediction Models Trained with Omics Data. CoRR abs/2409.12215 (2024)
• 2023
• 
  William J. Bingley, Caitlin Curtis, Steven Lockey, Alina Bialkowski, Nicole M. Gillespie, S. Alexander Haslam, Ryan K. L. Ko, Niklas Steffens, Janet Wiles, Peter Worthy:
  Where is the human in human-centered AI? Insights from developer priorities and user experiences. Comput. Hum. Behav. 141: 107617 (2023)
• 
  Megumi Asada, Ryan C. Chen, Eva Fourakis, Yujin Hong Kim, Andrew Kwon, Jared Duker Lichtman, Blake Mackall, Steven J. Miller, Eric Winsor, Karl Winsor, Jianing Yang, Kevin Yang:
  Lower-Order Biases in the Second Moment of Dirichlet Coefficients in Families of L-Functions. Exp. Math. 32(3): 431-456 (2023)
• 
  Ryan C. Chen, Yujin Hong Kim, Jared D. Lichtman, Steven J. Miller, Alina Shubina, Shannon Sweitzer, Ezra Waxman, Eric Winsor, Jianing Yang:
  A Refined Conjecture for the Variance of Gaussian Primes across Sectors. Exp. Math. 32(1): 33-53 (2023)

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