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- S. Andrew Gadsden
aka: Stephen A. Gadsden, Stephen Andrew Gadsden
Korea Aerospace Research Institute, Daejeon, South Korea - Andrew G. Stephenson
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Publication search results
found 810 matches
- 2024
- Kayumba G. Ilunga, Andrew Swanson, Nelson Mutatina Ijumba, Robert Stephen:
Experimental Investigation of the Effect of Conductor Temperature on Corona Performance in Overhead Transmission Lines. IEEE Access 12: 122114-122125 (2024) - Ali Ammar, Naseem Alsadi, Jonathan D. Adachi, Stephen A. Gadsden, Cheryl E. Quenneville:
A CNN-based strategy to automate contour detection of the hip and proximal femur using DXA hip images from longitudinal databases (CLSA and CaMos). Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(7) (2024) - Yuandi Wu, Brett Sicard, Stephen Andrew Gadsden:
Physics-informed machine learning: A comprehensive review on applications in anomaly detection and condition monitoring. Expert Syst. Appl. 255: 124678 (2024) - Milad Gil, Ebrahim Akbari, Abolfazl Rahimnejad, Mojtaba Ghasemi, S. Andrew Gadsden:
Solution of optimal reactive power dispatch by Lévy-flight phasor particle swarm optimization. Intell. Syst. Appl. 23: 200398 (2024) - Sue Caton, Chris Hatton, Amanda Gillooly, Edward Oloidi, Libby Clarke, Jill Bradshaw, Samantha Flynn, Laurence Taggart, Peter Mulhall, Andrew Jahoda, Roseann Maguire, Anna Marriott, Stuart Todd, David Abbott, Stephen Beyer, Nick Gore, Pauline Heslop, Katrina Scior, Richard P. Hastings:
Online social connections and Internet use among people with intellectual disabilities in the United Kingdom during the COVID-19 pandemic. New Media Soc. 26(5): 2804-2828 (2024) - Sahab Edrisi, Javad Enayati, Abolfazl Rahimnejad, Stephen Andrew Gadsden:
A Monte Carlo-Based Iterative Extended Kalman Filter for Bearings-Only Tracking of Sea Targets. Sensors 24(7): 2087 (2024) - Andrew Sanghyun Lee, Yuandi Wu, Stephen Andrew Gadsden, Mohammad AlShabi:
Interacting Multiple Model Estimators for Fault Detection in a Magnetorheological Damper. Sensors 24(1): 251 (2024) - Alexander Moksyakov, Yuandi Wu, Stephen Andrew Gadsden, John Yawney, Mohammad Al-Shabi:
Object Detection and Tracking with YOLO and the Sliding Innovation Filter. Sensors 24(7): 2107 (2024) - Andrew Gibbs, Stephen Langdon:
An Efficient Frequency-Independent Numerical Method for Computing the Far-Field Pattern Induced by Polygonal Obstacles. SIAM J. Sci. Comput. 46(4): 2324- (2024) - Tao Yan, Zhe Xu, Simon X. Yang, S. Andrew Gadsden:
Distributed Neurodynamics-Based Backstepping Optimal Control for Robust Constrained Consensus of Underactuated Underwater Vehicles Fleet. IEEE Trans. Cybern. 54(8): 4666-4677 (2024) - Zhe Xu, Tao Yan, Simon X. Yang, S. Andrew Gadsden:
Distributed Leader Follower Formation Control of Mobile Robots Based on Bioinspired Neural Dynamics and Adaptive Sliding Innovation Filter. IEEE Trans. Ind. Informatics 20(2): 1180-1189 (2024) - Rob Geada, David Towers, Matthew Forshaw, Amir Atapour-Abarghouei, A. Stephen McGough:
Insights from the Use of Previously Unseen Neural Architecture Search Datasets. CVPR 2024: 22541-22550 - Zongxia Li, Andrew Mao, Daniel Stephens, Pranav Goel, Emily Walpole, Alden Dima, Juan Fung, Jordan L. Boyd-Graber:
Improving the TENOR of Labeling: Re-evaluating Topic Models for Content Analysis. EACL (1) 2024: 840-859 - Charles Andrew Dickens, Changyu Gao, Connor Pryor, Stephen J. Wright, Lise Getoor:
Convex and Bilevel Optimization for Neural-Symbolic Inference and Learning. ICML 2024 - Changyu Gao, Andrew Lowy, Xingyu Zhou, Stephen J. Wright:
Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses. ICML 2024 - Nathaniel Li, Alexander Pan, Anjali Gopal, Summer Yue, Daniel Berrios, Alice Gatti, Justin D. Li, Ann-Kathrin Dombrowski, Shashwat Goel, Gabriel Mukobi, Nathan Helm-Burger, Rassin Lababidi, Lennart Justen, Andrew B. Liu, Michael Chen, Isabelle Barrass, Oliver Zhang, Xiaoyuan Zhu, Rishub Tamirisa, Bhrugu Bharathi, Ariel Herbert-Voss, Cort B. Breuer, Andy Zou, Mantas Mazeika, Zifan Wang, Palash Oswal, Weiran Lin, Adam A. Hunt, Justin Tienken-Harder, Kevin Y. Shih, Kemper Talley, John Guan, Ian Steneker, David Campbell, Brad Jokubaitis, Steven Basart, Stephen Fitz, Ponnurangam Kumaraguru, Kallol Krishna Karmakar, Uday Kiran Tupakula, Vijay Varadharajan, Yan Shoshitaishvili, Jimmy Ba, Kevin M. Esvelt, Alexandr Wang, Dan Hendrycks:
The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning. ICML 2024 - Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 2024: 6892-6903 - Val Jones, Glenn Harless, Radoslav Petkov, Stephen Smith:
Conversa AI: A Platform for AI Interviewing and Authentic Conversation. SIGGRAPH Appy Hour 2024: 5 - Simão da Graça Marto, Massimiliano Vasile, Andrew Campbell, Paul Murray, Stephen Marshall, Vasili Savitski:
Hyperspectral Lightcurve Inversion for Attitude Determination. CoRR abs/2401.05397 (2024) - Charles Dickens, Changyu Gao, Connor Pryor, Stephen J. Wright, Lise Getoor:
Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning. CoRR abs/2401.09651 (2024) - Yuandi Wu, Brett Sicard, Stephen Andrew Gadsden:
A Review of Physics-Informed Machine Learning Methods with Applications to Condition Monitoring and Anomaly Detection. CoRR abs/2401.11860 (2024) - Jadyn Powell, Alex McCafferty-Leroux, Waleed Hilal, Stephen Andrew Gadsden:
Smart Grids: A Comprehensive Survey of Challenges, Industry Applications, and Future Trends. CoRR abs/2401.13105 (2024) - Zongxia Li, Andrew Mao, Daniel Stephens, Pranav Goel, Emily Walpole, Alden Dima, Juan Fung, Jordan L. Boyd-Graber:
Beyond Automated Evaluation Metrics: Evaluating Topic Models On Practical Social Science Content Analysis Tasks. CoRR abs/2401.16348 (2024) - Nathaniel Li, Alexander Pan, Anjali Gopal, Summer Yue, Daniel Berrios, Alice Gatti, Justin D. Li, Ann-Kathrin Dombrowski, Shashwat Goel, Long Phan, Gabriel Mukobi, Nathan Helm-Burger, Rassin Lababidi, Lennart Justen, Andrew B. Liu, Michael Chen, Isabelle Barrass, Oliver Zhang, Xiaoyuan Zhu, Rishub Tamirisa, Bhrugu Bharathi, Adam Khoja, Zhenqi Zhao, Ariel Herbert-Voss, Cort B. Breuer, Andy Zou, Mantas Mazeika, Zifan Wang, Palash Oswal, Weiran Liu, Adam A. Hunt, Justin Tienken-Harder, Kevin Y. Shih, Kemper Talley, John Guan, Russell Kaplan, Ian Steneker, David Campbell, Brad Jokubaitis, Alex Levinson, Jean Wang, William Qian, Kallol Krishna Karmakar, Steven Basart, Stephen Fitz, Mindy Levine, Ponnurangam Kumaraguru, Uday Kiran Tupakula, Vijay Varadharajan, Yan Shoshitaishvili, Jimmy Ba, Kevin M. Esvelt, Alexandr Wang, Dan Hendrycks:
The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning. CoRR abs/2403.03218 (2024) - Machel Reid, Nikolay Savinov, Denis Teplyashin, Dmitry Lepikhin, Timothy P. Lillicrap, Jean-Baptiste Alayrac, Radu Soricut, Angeliki Lazaridou, Orhan Firat, Julian Schrittwieser, Ioannis Antonoglou, Rohan Anil, Sebastian Borgeaud, Andrew M. Dai, Katie Millican, Ethan Dyer, Mia Glaese, Thibault Sottiaux, Benjamin Lee, Fabio Viola, Malcolm Reynolds, Yuanzhong Xu, James Molloy, Jilin Chen, Michael Isard, Paul Barham, Tom Hennigan, Ross McIlroy, Melvin Johnson, Johan Schalkwyk, Eli Collins, Eliza Rutherford, Erica Moreira, Kareem Ayoub, Megha Goel, Clemens Meyer, Gregory Thornton, Zhen Yang, Henryk Michalewski, Zaheer Abbas, Nathan Schucher, Ankesh Anand, Richard Ives, James Keeling, Karel Lenc, Salem Haykal, Siamak Shakeri, Pranav Shyam, Aakanksha Chowdhery, Roman Ring, Stephen Spencer, Eren Sezener, et al.:
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context. CoRR abs/2403.05530 (2024) - Stephen R. Pfohl, Heather Cole-Lewis, Rory Sayres, Darlene Neal, Mercy Nyamewaa Asiedu, Awa Dieng, Nenad Tomasev, Qazi Mamunur Rashid, Shekoofeh Azizi, Negar Rostamzadeh, Liam G. McCoy, Leo Anthony Celi, Yun Liu, Mike Schaekermann, Alanna Walton, Alicia Parrish, Chirag Nagpal, Preeti Singh, Akeiylah Dewitt, Philip Andrew Mansfield, Sushant Prakash, Katherine A. Heller, Alan Karthikesalingam, Christopher Semturs, Joelle K. Barral, Greg Corrado, Yossi Matias, Jamila Smith-Loud, Ivor Horn, Karan Singhal:
A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models. CoRR abs/2403.12025 (2024) - Carsten Baum, Jens Berlips, Walther Chen, Hongrui Cui, Ivan Damgård, Jiangbin Dong, Kevin M. Esvelt, Mingyu Gao, Dana Gretton, Leonard Foner, Martin Kysel, Kaiyi Zhang, Juanru Li, Xiang Li, Omer Paneth, Ronald L. Rivest, Francesca Sage-Ling, Adi Shamir, Yue Shen, Meicen Sun, Vinod Vaikuntanathan, Lynn Van Hauwe, Theia Vogel, Benjamin Weinstein-Raun, Yun Wang, Daniel Wichs, Stephen Wooster, Andrew C. Yao, Yu Yu, Haoling Zhang:
A system capable of verifiably and privately screening global DNA synthesis. CoRR abs/2403.14023 (2024) - Zhe Xu, Tao Yan, Simon X. Yang, S. Andrew Gadsden, Mohammad Biglarbegian:
Distributed Robust Learning based Formation Control of Mobile Robots based on Bioinspired Neural Dynamics. CoRR abs/2403.15716 (2024) - Rob Geada, David Towers, Matthew Forshaw, Amir Atapour-Abarghouei, A. Stephen McGough:
Insights from the Use of Previously Unseen Neural Architecture Search Datasets. CoRR abs/2404.02189 (2024) - Alessandro Giuliano, S. Andrew Gadsden, Waleed Hilal, John Yawney:
Convolutional variational autoencoders for secure lossy image compression in remote sensing. CoRR abs/2404.03696 (2024)
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