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Publication search results
found 241 matches
- 2024
- Arnab Palit, Mark A. Williams, Ercihan Kiraci, Vineet Seemala, Vatsal Gupta, Jim Pierrepont, Christopher Plaskos, Richard King:
Evaluating computed bony range of motion (BROM) by registering in-vitro cadaver-based functional range of motion (FROM) to a hip motion simulation. Comput. Biol. Medicine 169: 107799 (2024) - Christopher J. Kelly, Richard A. Wysk, Ola L. A. Harrysson, Russell E. King, Brandon M. McConnell:
Automatic feature-based inspection and qualification for additively manufactured parts with critical tolerances. Int. J. Manuf. Technol. Manag. 38(3): 236-264 (2024) - Pietro Ferraro, Lianna Zhao, Christopher King, Robert Shorten:
Personalized Feedback Control, Social Contracts, and Compliance Strategies for Ensembles. IEEE Internet Things J. 11(3): 3942-3955 (2024) - Sandhya Tripathi, Bradley A. Fritz, Mohamed Abdelhack, Michael S. Avidan, Yixin Chen, Christopher Ryan King:
Multi-view representation learning for tabular data integration using inter-feature relationships. J. Biomed. Informatics 151: 104602 (2024) - Pietro Ferraro, Andreas Penzkofer, Christopher K. King, Robert Shorten:
Feedback Control for Distributed Ledgers: An Attack Mitigation Policy for DAG-Based DLTs. IEEE Trans. Autom. Control. 69(8): 5492-5499 (2024) - Sandhya Tripathi, Christopher Ryan King:
Contrastive learning: Big Data Foundations and Applications. COMAD/CODS 2024: 493-497 - 2023
- Philip J. Freda, Attri Ghosh, Elizabeth Zhang, Tianhao Luo, Apurva S. Chitre, Oksana Polesskaya, Celine L. St. Pierre, Jianjun Gao, Connor D. Martin, Hao Chen, Angel G. Garcia-Martinez, Tengfei Wang, Wenyan Han, Keita Ishiwari, Paul Meyer, Alexander Lamparelli, Christopher P. King, Abraham A. Palmer, Ruowang Li, Jason H. Moore:
Automated quantitative trait locus analysis (AutoQTL). BioData Min. 16(1) (2023) - Daniel King, Lingga Adidharma, Haonan Peng, Kris S. Moe, Yangming Li, Zixin Yang, Christopher Young, Manuel Ferreria, Ian Humphreys, Waleed M. Abuzeid, Blake Hannaford, Randall A. Bly:
Automatic summarization of endoscopic skull base surgical videos through object detection and hidden Markov modeling. Comput. Medical Imaging Graph. 108: 102248 (2023) - Matthew R. D. Brown, Matthew Knight, Christopher J. Peters, Simin Maleki, Ali Motavalli, Bahman Nedjat-Shokouhi:
Digital outpatient health solutions as a vehicle to improve healthcare sustainability - a United Kingdom focused policy and practice perspective. Frontiers Digit. Health 5 (2023) - Joanna Abraham, Brian Bartek, Alicia Meng, Christopher Ryan King, Bing Xue, Chenyang Lu, Michael S. Avidan:
Integrating machine learning predictions for perioperative risk management: Towards an empirical design of a flexible-standardized risk assessment tool. J. Biomed. Informatics 137: 104270 (2023) - Tareen Dawood, Chen Chen, Baldeep S. Sidhu, Bram Ruijsink, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Christopher A. Rinaldi, Esther Puyol-Antón, Reza Razavi, Andrew P. King:
Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images. Medical Image Anal. 88: 102861 (2023) - Xi Zhu, Yoojean Kim, Orren Ravid, Xiaofu He, Benjamin Suarez-Jimenez, Sigal Zilcha-Mano, Amit Lazarov, Seonjoo Lee, Chadi G. Abdallah, Michael Angstadt, Christopher L. Averill, C. Lexi Baird, Lee Baugh, Jennifer Urbano Blackford, Jessica Bomyea, Steven E. Bruce, Richard A. Bryant, Zhihong Cao, Kyle Choi, Josh M. Cisler, Andrew S. Cotton, Judith K. Daniels, Nicholas D. Davenport, Richard J. Davidson, Michael D. De Bellis, Emily L. Dennis, Maria Densmore, Terri A. deRoon-Cassini, Seth G. Disner, Wissam El-Hage, Amit Etkin, Negar Fani, Kelene A. Fercho, Jacklynn M. Fitzgerald, Gina L. Forster, Jessie L. Frijling, Elbert Geuze, Atilla Gonenc, Evan M. Gordon, Staci Gruber, Daniel W. Grupe, Jeffrey P. Guenette, Courtney C. Haswell, Ryan J. Herringa, Julia Herzog, David Bernd Hofmann, Bobak Hosseini, Anna R. Hudson, Ashley A. Huggins, Jonathan C. Ipser, Neda Jahanshad, Meilin Jia-Richards, Tanja Jovanovic, Milissa L. Kaufman, Mitzy Kennis, Anthony King, Philipp Kinzel, Saskia B. J. Koch, Inga Koerte, Sheri-Michelle Koopowitz, Mayuresh S. Korgaonkar, John H. Krystal, Ruth A. Lanius, Christine L. Larson, Lauren A. M. Lebois, Gen Li, Israel Liberzon, Guang Ming Lu, Yifeng Luo, Vincent A. Magnotta, Antje Manthey, Adi Maron-Katz, Geoffery May, Katie A. McLaughlin, Sven C. Mueller, Laura Nawijn, Steven M. Nelson, Richard W. J. Neufeld, Jack B. Nitschke, Erin O'Leary, Bunmi O. Olatunji, Miranda Olff, Matthew Peverill, K. Luan Phan, Rongfeng Qi, Yann Quidé, Ivan Rektor, Kerry J. Ressler, Pavel Riha, Marisa Ross, Isabelle M. Rosso, Lauren E. Salminen, Kelly A. Sambrook, Christian Schmahl, Martha Elizabeth Shenton, Margaret A. Sheridan, Chiahao Shih, Maurizio Sicorello, Anika Sierk, Alan N. Simmons, Raluca M. Simons, Jeffrey S. Simons, Scott R. Sponheim, Murray B. Stein, Dan J. Stein, Jennifer S. Stevens, Thomas Straube, Delin Sun, Jean Théberge, Paul M. Thompson, Sophia I. Thomopoulos, Nic J. A. van der Wee, Steven J. A. van der Werff, Theo G. M. van Erp, Sanne J. H. van Rooij, Mirjam van Zuiden, Tim Varkevisser, Dick J. Veltman, Robert R. J. M. Vermeiren, Henrik Walter, Li Wang, Xin Wang, Carissa N. Weis, Sherry Winternitz, Hong Xie, Ye Zhu, Melanie Wall, Yuval Neria, Rajendra A. Morey:
Neuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium. NeuroImage 283: 120412 (2023) - Boye Zhou, Christopher Watson, Benoit Legrésy, Matt A. King, Jack Beardsley:
Ongoing Development of the Bass Strait GNSS/INS Buoy System for Altimetry Validation in Preparation for SWOT. Remote. Sens. 15(1): 287 (2023) - Wenxuan Yao, Lingwei Zhan, Sterling Sean Rooke, Christopher J. Vizas, Victor Kaybulkin, Thomas J. King, Bailu Xiao, Zhi Li, Yilu Liu, He Yin:
Intensity-Modulated Fiber-Optic Sensor: A Novel Grid Measurement Unit. IEEE Trans. Ind. Informatics 19(4): 5566-5575 (2023) - Cem Okan Yaldiz, Mark J. Buller, Kristine L. Richardson, Sungtae An, David Jimmy Lin, Aprameya Satish, Kyla Driver, Emma Atkinson, Timothy Mesite, Christopher King, Max Bursey, Meghan Galer, Mindy L. Millard-Stafford, Michael N. Sawka, Alessio Medda, Omer T. Inan:
Early Prediction of Impending Exertional Heat Stroke With Wearable Multimodal Sensing and Anomaly Detection. IEEE J. Biomed. Health Informatics 27(12): 5803-5814 (2023) - Mohamed Abdelhack, Jiaming Zhang, Sandhya Tripathi, Bradley A. Fritz, Daniel Felsky, Michael Avidan, Yi-Xin Chen, Christopher Ryan King:
A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues. Trans. Mach. Learn. Res. 2023 (2023) - Kei Shibuya, Zachary D. King, Maryam Khalid, Han Yu, Yufei Shen, Khadija Zanna, Ryan L. Brown, Marzieh Majd, Christopher P. Fagundes, Akane Sano:
Predicting Stress and Providing Counterfactual Explanations: A Pilot Study on Caregivers. ACIIW 2023: 1-4 - Ethan Perez, Sam Ringer, Kamile Lukosiute, Karina Nguyen, Edwin Chen, Scott Heiner, Craig Pettit, Catherine Olsson, Sandipan Kundu, Saurav Kadavath, Andy Jones, Anna Chen, Benjamin Mann, Brian Israel, Bryan Seethor, Cameron McKinnon, Christopher Olah, Da Yan, Daniela Amodei, Dario Amodei, Dawn Drain, Dustin Li, Eli Tran-Johnson, Guro Khundadze, Jackson Kernion, James Landis, Jamie Kerr, Jared Mueller, Jeeyoon Hyun, Joshua Landau, Kamal Ndousse, Landon Goldberg, Liane Lovitt, Martin Lucas, Michael Sellitto, Miranda Zhang, Neerav Kingsland, Nelson Elhage, Nicholas Joseph, Noemí Mercado, Nova DasSarma, Oliver Rausch, Robin Larson, Sam McCandlish, Scott Johnston, Shauna Kravec, Sheer El Showk, Tamera Lanham, Timothy Telleen-Lawton, Tom Brown, Tom Henighan, Tristan Hume, Yuntao Bai, Zac Hatfield-Dodds, Jack Clark, Samuel R. Bowman, Amanda Askell, Roger Grosse, Danny Hernandez, Deep Ganguli, Evan Hubinger, Nicholas Schiefer, Jared Kaplan:
Discovering Language Model Behaviors with Model-Written Evaluations. ACL (Findings) 2023: 13387-13434 - Tian Huey Teh, Vivian Hu, Devang S. Ram Mohan, Zack Hodari, Christopher G. R. Wallis, Tomás Gómez Ibarrondo, Alexandra Torresquintero, James Leoni, Mark J. F. Gales, Simon King:
Ensemble Prosody Prediction For Expressive Speech Synthesis. ICASSP 2023: 1-5 - Imran Bashir, Dirk Leipold, Namit Mishra, Pietro King, Angelo Dragone, Gunther Haller, Shawn Henderson, Christopher Kenney:
Towards A Fully Integrated TES Controller Operating at 4K Temperature. ISCAS 2023: 1-5 - Poppy Collis, Paul F. Kinghorn, Christopher L. Buckley:
Understanding Tool Discovery and Tool Innovation Using Active Inference. IWAI 2023: 43-58 - Lecheng Kong, Christopher Ryan King, Bradley A. Fritz, Yixin Chen:
A Multi-View Joint Learning Framework for Embedding Clinical Codes and Text Using Graph Neural Networks. CoRR abs/2301.11608 (2023) - Bernd Flemisch, Jan M. Nordbotten, Martin A. Fernø, Ruben Juanes, Holger Class, Mojdeh Delshad, Florian Doster, Jonathan Ennis-King, Jacques Franc, Sebastian Geiger, Dennis Gläser, Christopher Green, James Gunning, Hadi Hajibeygi, Samuel J. Jackson, Mohamad Jammoul, Satish Karra, Jiawei Li, Stephan K. Matthäi, Terry Miller, Qi Shao, Catherine Spurin, Philip Stauffer, Hamdi A. Tchelepi, Xiaoming Tian, Hari S. Viswanathan, Denis V. Voskov, Yuhang Wang, Michiel Wapperom, Mary F. Wheeler, Andrew Wilkins, AbdAllah A. Youssef, Ziliang Zhang:
The FluidFlower International Benchmark Study: Process, Modeling Results, and Comparison to Experimental Data. CoRR abs/2302.10986 (2023) - Hao Liu, Muhan Zhang, Zehao Dong, Lecheng Kong, Yixin Chen, Bradley A. Fritz, Dacheng Tao, Christopher Ryan King:
Time Associated Meta Learning for Clinical Prediction. CoRR abs/2303.02570 (2023) - Nathan D. King, Haozhe Su, Mridul Aanjaneya, Steven J. Ruuth, Christopher Batty:
A Closest Point Method for Surface PDEs with Interior Boundary Conditions for Geometry Processing. CoRR abs/2305.04711 (2023) - Hector Zenil, Jesper Tegnér, Felipe S. Abrahão, Alexander Lavin, Vipin Kumar, Jeremy G. Frey, Adrian Weller, Larisa N. Soldatova, Alan R. Bundy, Nicholas R. Jennings, Koichi Takahashi, Lawrence Hunter, Saso Dzeroski, Andrew Briggs, Frederick D. Gregory, Carla P. Gomes, Christopher K. I. Williams, Jon Rowe, James A. Evans, Hiroaki Kitano, Joshua B. Tenenbaum, Ross D. King:
The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence. CoRR abs/2307.07522 (2023) - Tareen Dawood, Chen Chen, Baldeep S. Sidhua, Bram Ruijsink, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Christopher A. Rinaldi, Esther Puyol-Antón, Reza Razavi, Andrew P. King:
Uncertainty Aware Training to Improve Deep Learning Model Calibration for Classification of Cardiac MR Images. CoRR abs/2308.15141 (2023) - Poppy Collis, Paul F. Kinghorn, Christopher L. Buckley:
Understanding Tool Discovery and Tool Innovation Using Active Inference. CoRR abs/2311.03893 (2023) - 2022
- Jonathan P. Epperlein, Roman Overko, Sergiy Zhuk, Christopher K. King, Djallel Bouneffouf, Andrew Cullen, Robert Shorten:
Reinforcement learning with algorithms from probabilistic structure estimation. Autom. 144: 110483 (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)
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