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Publication search results
found 71 matches
- 2024
- Tiago Stegun Vaquero, Guglielmo Daddi, Rohan Thakker, Michael Paton, A. Jasour, Marlin P. Strub, R. Michael Swan, Rob Royce, Matthew Gildner, L. Phillipe Tosi, Marcel Veismann, Peter V. Gavrilov, Eloise Marteau, Joseph Bowkett, Daniel Loret de Mola Lemus, Yashwanth Kumar Nakka, Benjamin Hockman, Andrew L. Orekhov, Tristan Hasseler, Carl Leake, Benjamin Nuernberger, Pedro Proença, William Reid, William Talbot, Nikola Georgiev, Torkom Pailevanian, Avak Archanian, Eric Ambrose, Jay Jasper, Rachel Etheredge, Christiahn Roman, Dan Levine, Kyohei Otsu, Sarah Yearicks, Hovhannes Melikyan, Richard Rieber, Kalind C. Carpenter, Jeremy Nash, Abhinandan Jain, Lori Shiraishi, Matthew Robinson, Matthew J. Travers, Howie Choset, Joel W. Burdick, Alex S. Gardner, M. Cable, Michel D. Ingham, Masahiro Ono:
EELS: Autonomous snake-like robot with task and motion planning capabilities for ice world exploration. Sci. Robotics 9(88) (2024) - Michael S. Yao, Yimeng Zeng, Hamsa Bastani, Jacob R. Gardner, James C. Gee, Osbert Bastani:
Generative Adversarial Bayesian Optimization for Surrogate Objectives. CoRR abs/2402.06532 (2024) - 2023
- Shadi Esnaashari, Lesley A. Gardner, Tiru S. Arthanari, Michael Rehm:
Unfolding self-regulated learning profiles of students: A longitudinal study. J. Comput. Assist. Learn. 39(4): 1116-1131 (2023) - 2022
- Michal Adamkiewicz, Timothy Chen, Adam Caccavale, Rachel Gardner, Preston Culbertson, Jeannette Bohg, Mac Schwager:
Vision-Only Robot Navigation in a Neural Radiance World. IEEE Robotics Autom. Lett. 7(2): 4606-4613 (2022) - Shadi Esnaashari, Lesley A. Gardner, Michael Rehm:
Exploring the Cyclical Nature of Self-Regulation in Blended Learning: A Longitudinal Study. ICIS 2022 - Mehmet Belgin, Semir Sarajlic, Rubén Lara, Laura Cadonati, A. Nepomuk Otte, Ignacio J. Taboada, Gregory L. Beyer, Norman Bray Bonner, Michael Brandon, Pam Buffington, J. Eric Coulter, Aaron Jezghani, David Leonard, Fang Liu, Paul D. Manno, Craig A. Moseley, Trever C. Nightingale, Ronald Rahaman, Kenneth J. Suda, Peter Wan, Michael D. Weiner, Deirdre Womack, Dan Zhou, Andre C. McNeill, Neil Bright, Robert W. Gardner, Pascal Paschos, Lincoln Andrew Bryant, Judith Lorraine Stephen, James Alexander Clark, Brian Hua Lin, Todd Tannenbaum, Gregory Thain:
Buzzard: Georgia Tech's Foray into the Open Science Grid. PEARC 2022: 47:1-47:5 - 2021
- Theresa Baren, Michael Cory, Mia Friedberg, Peter Gardner, James M. Hammer, Joshua Harrington, Daniel McGinnis, Riley Waechter, Tony W. H. Wong:
On the domination number of permutation graphs and an application to strong fixed points. Discret. Appl. Math. 288: 20-34 (2021) - Kevin Greenberg, Robert Zheng, Michael Gardner, Matthew Orr:
Individual differences in visuospatial working memory capacity influence the modality effect. J. Comput. Assist. Learn. 37(3): 735-744 (2021) - Michal Adamkiewicz, Timothy Chen, Adam Caccavale, Rachel Gardner, Preston Culbertson, Jeannette Bohg, Mac Schwager:
Vision-Only Robot Navigation in a Neural Radiance World. CoRR abs/2110.00168 (2021) - 2020
- Ritchie Lee, Ole J. Mengshoel, Anshu Saksena, Ryan W. Gardner, Daniel Genin, Joshua Silbermann, Michael P. Owen, Mykel J. Kochenderfer:
Adaptive Stress Testing: Finding Likely Failure Events with Reinforcement Learning. J. Artif. Intell. Res. 69: 1165-1201 (2020) - Rebecca M. Jones, Anuj Sharma, Robert Hotchkiss, John W. Sperling, Jackson Hamburger, Christian Ledig, Robert O'Toole, Michael Gardner, Srivas Venkatesh, Matthew M. Roberts, Romain Sauvestre, Max Shatkhin, Anant Gupta, Sumit Chopra, Manickam Kumaravel, Aaron Daluiski, Will Plogger, Jason Nascone, Hollis Potter, Robert V. Lindsey:
Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs. npj Digit. Medicine 3 (2020) - Shadi Esnaashari, Lesley A. Gardner, Michael Rehm:
The Impact of Motivation and Strategy Use on Course Outcome in Digital Learning Environment - A Case Analysis of a Business School Course. HICSS 2020: 1-11 - Shadi Esnaashari, Lesley A. Gardner, Tiru S. Arthanari, Michael Rehm, Olga Filippova:
The Role of Motivation and Strategy Use in Predicting Students' Performance in a Blended Learning Environment. ICIS 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 - Tyler Gardner, Michael Hansen, Natalie Wisniewski, Randall Christensen:
CubeSat-Based Lunar Map Refinement Utilizing Surface Beacons and a Monocular Camera. PLANS 2020: 1536-1546 - 2019
- Shadi Esnaashari, Lesley A. Gardner, Michael Rehm:
Educational Technology Tools: Longitudinal Views of Students. AMCIS 2019 - Shadi Esnaashari, Lesley A. Gardner, Michael Rehm:
Students' Motivation and its changes as the Course Progresses. AMCIS 2019 - Lysanne Lessard, Antoine Sauré, Agnes Grudniewicz, William Gardner, James King, Wojtek Michalowski, David Murphy, Kathleen Pajer, Elyse Schipper, Sinthuja Suntharalingam, Raphaël Ménard-Grenier, Michael Cheng:
Data Requirements for a Patient-Centered Learning Health System. AMIA 2019 - Joseph Walton-Rivers, Edward Longford, Daniel Gomme, Richard A. Bartle, Michael Gardner:
Distributed Social Multi-Agent Negotiation Framework For Incomplete Information Games. CEEC 2019: 65-68 - David Eriksson, Michael Pearce, Jacob R. Gardner, Ryan Turner, Matthias Poloczek:
Scalable Global Optimization via Local Bayesian Optimization. NeurIPS 2019: 5497-5508 - Dennis Beck, Anasol Peña-Ríos, J. Todd Ogle, Daphne Economou, Markos Mentzelopoulos, Leonel Morgado, Christian Eckhardt, Johanna Pirker, Roxane Koitz-Hristov, Jonathon Richter, Christian Gütl, Michael Gardner:
Immersive Learning Research Network - 5th International Conference, iLRN 2019, London, UK, June 23-27, 2019, Proceedings. Communications in Computer and Information Science 1044, Springer 2019, ISBN 978-3-030-23088-3 [contents] - David Eriksson, Michael Pearce, Jacob R. Gardner, Ryan Turner, Matthias Poloczek:
Scalable Global Optimization via Local Bayesian Optimization. CoRR abs/1910.01739 (2019) - 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. CoRR abs/1911.02549 (2019) - 2018
- Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha P. Talukdar, Bo Yang, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matt Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapandula Nakashole, Emmanouil A. Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard C. Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, Joel Welling:
Never-ending learning. Commun. ACM 61(5): 103-115 (2018) - Robert V. Lindsey, Aaron Daluiski, Sumit Chopra, Alexander Lachapelle, Michael Mozer, Serge Sicular, Douglas Hanel, Michael Gardner, Anurag Gupta, Robert Hotchkiss, Hollis Potter:
Deep neural network improves fracture detection by clinicians. Proc. Natl. Acad. Sci. USA 115(45): 11591-11596 (2018) - Shadi Esnaashari, Lesley A. Gardner, Michael Rehm:
Characterizing Students Based on Their Participation in the Class. AIED (2) 2018: 84-88 - Shadi Esnaashari, Lesley A. Gardner, Michael Rehm:
Characterizing Students' Behavior Based on their Participation in Property Course in New Zealand. AINA Workshops 2018: 6-11 - Ritchie Lee, Ole J. Mengshoel, Anshu Saksena, Ryan W. Gardner, Daniel Genin, Joshua Silbermann, Michael P. Owen, Mykel J. Kochenderfer:
Adaptive Stress Testing: Finding Failure Events with Reinforcement Learning. CoRR abs/1811.02188 (2018) - 2017
- Nitesh Katta, John A. Rector, Michael R. Gardner, Austin B. McElroy, Kevin C. Choy, Cody Crosby, Janet Zoldan, Thomas E. Milner:
Image-guided smart laser system for precision implantation of cells in cartilage. Medical Imaging: Image-Guided Procedures 2017: 101350V - 2016
- Cubby L. Gardner, Michael C. Flanagan, Cathy Franklin, Cherly John-Swayers, Stacy Walsh-Pouch, F. Joyce Bryant, Carol A. Romano, Susanne Gibbons, Marla De Jong, Albert Hoang, Dorothy Becher, Harry B. Burke:
Electronic physiologic and subjective data acquisition in home-dwelling heart failure patients: An assessment of patient use and perception of usability. Int. J. Medical Informatics 93: 42-48 (2016)
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