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- Justin Holmgren
aka: Justin Lee Holmgren
Massachusetts Institute of Technology, Cambridge, USA - Jemin Justin Lee
- Justin Lee Bing
- Justin J. Lee
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Publication search results
found 532 matches
- 2024
- Angela Y. Lee, Cedric J. Powell, Justin M. Gorham, Adam Morey, John Henry J. Scott, Robert J. Hanisch:
Development of the NIST X-ray Photoelectron Spectroscopy (XPS) Database, Version 5. Data Sci. J. 23: 45 (2024) - Jea Kwon, Sunpil Kim, Dong-Kyum Kim, Jinhyeong Joo, SoHyung Kim, Meeyoung Cha, C. Justin Lee:
SUBTLE: An Unsupervised Platform with Temporal Link Embedding that Maps Animal Behavior. Int. J. Comput. Vis. 132(10): 4589-4615 (2024) - Zi Wang, George E. Dahl, Kevin Swersky, Chansoo Lee, Zachary Nado, Justin Gilmer, Jasper Snoek, Zoubin Ghahramani:
Pre-trained Gaussian Processes for Bayesian Optimization. J. Mach. Learn. Res. 25: 212:1-212:83 (2024) - Gideon Pagnol Ayemtsa Kuete, Lee Mariel Heucheun Yepdia, Alain Tiedeu, Justin Roger Mboupda Pone:
Medical image cryptosystem using a new 3-D map implemented in a microcontroller. Multim. Tools Appl. 83(31): 75955-75994 (2024) - Sarah J. Wait, Marc Expòsit, Sophia Lin, Michael Rappleye, Justin Daho Lee, Samuel A. Colby, Lily Torp, Anthony Asencio, Annette Smith, Michael Regnier, Farid Moussavi-Harami, David Baker, Christina K. Kim, Andre Berndt:
Machine learning-guided engineering of genetically encoded fluorescent calcium indicators. Nat. Comput. Sci. 4(3): 224-236 (2024) - Przemyslaw Falak, Justin Ho-Tin Chan, James Williamson, Andrew Henning, Timothy Lee, Shahrzad Zahertar, Christopher Holmes, Martynas Beresna, Haydn Martin, Gilberto Brambilla, Xiangqian Jiang:
An Ultracompact Metasurface and Specklemeter-Based Chromatic Confocal Sensor. IEEE Trans. Instrum. Meas. 73: 1-8 (2024) - Chim Lee Cheung, Mengjie Wu, Ge Fang, Justin D. L. Ho, Liyuan Liang, Kel Vin Tan, Fa-Hsuan Lin, Hing-Chiu Chang, Ka-Wai Kwok:
Omnidirectional Monolithic Marker for Intra-Operative MR-Based Positional Sensing in Closed MRI. IEEE Trans. Medical Imaging 43(1): 439-448 (2024) - Matthew Hull, Vivian Pednekar, Hannah Murray, Nimisha Roy, Emmanuel Tung, Susanta Routray, Connor Guerin, Justin Chen, Zijie J. Wang, Seongmin Lee, Max Mahdi Roozbahani, Duen Horng Chau:
VG: Automatic Grading of D3 Visualizations. IEEE Trans. Vis. Comput. Graph. 30(1): 617-627 (2024) - Christopher B. Rauch, Ursula Addison, Michael W. Floyd, Prateek Goel, Justin Karneeb, Ray Kulhanek, Othalia Larue, David H. Ménager, Mallika Mainali, Matthew Molineaux, Adam Pease, Anik Sen, J. T. Turner, Rosina Weber:
Algorithmic Decision-Making in Difficult Scenarios. AAAI Spring Symposia 2024: 583-585 - Kyoung Hyun Kwak, Youngki Kim, Justin Holmer, Heeseong Kim, Yue Ming Chen, Hyeonjik Lee, Brian Link:
Parametric Modeling for Personalized Braking of Electric Vehicles in Full-Stop Scenarios. ACC 2024: 2983-2988 - Justin Holmgren, Ron Rothblum:
Linear-Size Boolean Circuits for Multiselection. CCC 2024: 11:1-11:20 - Tiange Luo, Justin Johnson, Honglak Lee:
View Selection for 3D Captioning via Diffusion Ranking. ECCV (31) 2024: 180-197 - Esraa Aldreabi, Mukul Dev Chhangani, Khawlah M. Harahsheh, Justin M. Lee, Chung-Hao Chen, Jeremy Blackburn:
Toward Inclusivity: Rethinking Islamophobic Content Classification in the Digital Age. FLAIRS 2024 - Ryan M. Schuetzler, Justin Scott Giboney, Taylor M. Wells, Benjamin Richardson, Tom Meservy, Cole Sutton, Clay Posey, Jacob Steffen, Amanda Lee Hughes:
Student Interaction with Generative AI: An Exploration of an Emergent Information-Search Process. HICSS 2024: 7500-7509 - Matthew Molineaux, Rosina O. Weber, Michael W. Floyd, David H. Ménager, Othalia Larue, Ursula Addison, Ray Kulhanek, Noah Reifsnyder, Christopher B. Rauch, Mallika Mainali, Anik Sen, Prateek Goel, Justin Karneeb, J. T. Turner, John Meyer:
Aligning to Human Decision-Makers in Military Medical Triage. ICCBR 2024: 371-387 - Anik Sen, Mallika Mainali, Christopher B. Rauch, Ursula Addison, Michael W. Floyd, Prateek Goel, Justin Karneeb, Ray Kulhanek, Othalia Larue, David H. Ménager, Matthew Molineaux, J. T. Turner, Rosina O. Weber:
Counterfactual-Based Synthetic Case Generation. ICCBR 2024: 388-403 - Mitchell Wortsman, Peter J. Liu, Lechao Xiao, Katie E. Everett, Alexander A. Alemi, Ben Adlam, John D. Co-Reyes, Izzeddin Gur, Abhishek Kumar, Roman Novak, Jeffrey Pennington, Jascha Sohl-Dickstein, Kelvin Xu, Jaehoon Lee, Justin Gilmer, Simon Kornblith:
Small-scale proxies for large-scale Transformer training instabilities. ICLR 2024 - Erin Lanus, Brian Lee, Luis Pol, Daniel Sobien, Justin Kauffman, Laura J. Freeman:
Coverage for Identifying Critical Metadata in Machine Learning Operating Envelopes. ICSTW 2024: 217-226 - Ananya Subramaniam, Justin Namuk Kim, Juhwan Lee, Yingnan Song, Hao Wu, Naomi Joseph, Mohamed H. E. Makhlouf, Neda Shafiabadi Hassani, David L. Wilson:
Centerline Detection and Pericoronary Adipose Tissue Prediction Using Image-to-Image Regression in Coronary CTA Images. ISBI 2024: 1-5 - Justin Lee, Gabriel Bernier-Colborne, Tegan Maharaj, Sowmya Vajjala:
Methods, Applications, and Directions of Learning-to-Rank in NLP Research. NAACL-HLT (Findings) 2024: 1900-1917 - Pranathi Rayavaram, Sahithi Charitha Dindukuri, Krishna Vellamchety, Justin Marwad, Maryam Abbasalizadeh, Claire Seungeun Lee, Sashank Narain:
Visual CryptoED: A Role-Playing and Visualization Tool for K-12 Cryptography Education. SIGCSE (1) 2024: 1105-1111 - Justin Yang, Peter Bauer, Todd J. Harris, Changhyung Lee, Hyeon Seok Seo, Jan P. Allebach, Fengqing Zhu:
A Visual Quality Assessment Method for Raster Images in Scanned Document. SSIAI 2024: 117-120 - Walid M. Hafez, D. Abanulo, M. Abdelkader, S. An, C. Auth, D. Bahr, V. Balakrishnan, R. Bambery, M. Beck, M. Bhargava, S. Bhowmick, J. Biggs-houck, J. Birdsall, D. Caselli, H.-Y. Chang, Y. Chang, R. Chaudhuri, S. Chauhan, C. Chen, V. Chikarmane, K. Chikkadi, T. Chu, C. Connor, R. De Alba, Y. Deng, C. Destefano, D. Diana, Y. Dong, P. Elfick, Tyler Elko-Hansen, B. Fallahazad, Y. Fang, D. Gala, D. Garg, C. Geppert, S. Govindaraju, W. Grimm, H. Grunes, L. Guler, Z. Guo, A. Gupta, M. Hattendorf, S. Havelia, J. Hazra, A. Islam, A. Jain, S. Jaloviar, M. Jamil, M. Jang, M. Kabir, J. Kameswaran, Eric Karl, S. Kelgeri, A. Kennedy, C. Kilroy, J. Kim, Y. Kim, D. Krishnan, G. Lee, H.-P. Lee, Q. Li, H. Lin, A. Luk, Y. Luo, P. Macfarlane, A. Mamun, K. Marla, D. Mayeri, E. Mckenna, A. Miah, K. Mistry, M. Mleczko, S. Moon, D. Nardi, S. Natarajan, J. Nathawat, C. Nolph, C. Nugroho, P. Nyhus, A. Oni, P. Packan, D. Pak, A. Paliwal, R. Pandey, I. Paredes, K. Park, L. Paulson, A. Pierre, P. Plekhanov, C. Prasad, R. Ramaswamy, J. Riley, Johann Rode, R. Russell, S. Ryu, H. Saavedra, T. Salisbury, Justin Sandford, F. Shah, K. Shang, P. Shekhar, A. Shu, E. Skoug, J. Sohn, J. Song, M. Sprinkle, J. Su, A. Tan, T. Troeger, R. Tsao, A. Vaidya, C. Wallace, X. Wang, H. Wang, C. Ward, S. Wickramaratne, M. Wills, T. Wu, Z. Xia-hua, S. Xu, P. Yashar, J. Yaung, Y. Yu, M. Zilm, Bernhard Sell:
An Intel 3 Advanced FinFET Platform Technology for High Performance Computing and SOC Product Applications. VLSI Technology and Circuits 2024: 1-2 - Jemin Justin Lee:
CTIAP. IEEE DataPort, 2024 - Yingnan Song, Hao Wu, Juhwan Lee, Justin Namuk Kim, Ammar Hoori, Tao Hu, Vladislav N. Zimin, Mohamed H. E. Makhlouf, Sadeer Al-Kindi, Sanjay Rajagopalan, Chun-Ho Yun, Chung-Lieh Hung, David L. Wilson:
Pericoronary adipose tissue feature analysis in CT calcium score images with comparison to coronary CTA. CoRR abs/2401.15554 (2024) - Tao Hu, Joshua Freeze, Prerna Singh, Justin Namuk Kim, Yingnan Song, Hao Wu, Juhwan Lee, Sadeer Al-Kindi, Sanjay Rajagopalan, David L. Wilson, Ammar Hoori:
AI prediction of cardiovascular events using opportunistic epicardial adipose tissue assessments from CT calcium score. CoRR abs/2401.16190 (2024) - Justin Blalock, David Munechika, Harsha Karanth, Alec Helbling, Pratham Darrpan Mehta, Seongmin Lee, Duen Horng Chau:
Mobile Fitting Room: On-device Virtual Try-on via Diffusion Models. CoRR abs/2402.01877 (2024) - Xiaoliang Luo, Akilles Rechardt, Guangzhi Sun, Kevin K. Nejad, Felipe Yáñez, Bati Yilmaz, Kangjoo Lee, Alexandra O. Cohen, Valentina Borghesani, Anton Pashkov, Daniele Marinazzo, Jonathan Nicholas, Alessandro Salatiello, Ilia Sucholutsky, Pasquale Minervini, Sepehr Razavi, Roberta Rocca, Elkhan Yusifov, Tereza Okalova, Nianlong Gu, Martin Ferianc, Mikail Khona, Kaustubh R. Patil, Pui-Shee Lee, Rui Mata, Nicholas E. Myers, Jennifer K. Bizley, Sebastian Musslick, Isil Poyraz Bilgin, Guiomar Niso, Justin M. Ales, Michael Gaebler, N. Apurva Ratan Murty, Leyla Loued-Khenissi, Anna Behler, Chloe M. Hall, Jessica Dafflon, Sherry Dongqi Bao, Bradley C. Love:
Large language models surpass human experts in predicting neuroscience results. CoRR abs/2403.03230 (2024) - Aaron Levine, Connie Huang, Chenguang Wang, Eduardo Batista, Ewa Szymanska, Hongyi Ding, Hou Wei Chou, Jean-François Pessiot, Johanes Effendi, Justin Chiu, Kai Torben Ohlhus, Karan Chopra, Keiji Shinzato, Koji Murakami, Lee Xiong, Lei Chen, Maki Kubota, Maksim Tkachenko, Miroku Lee, Naoki Takahashi, Prathyusha Jwalapuram, Ryutaro Tatsushima, Saurabh Jain, Sunil Kumar Yadav, Ting Cai, Wei-Te Chen, Yandi Xia, Yuki Nakayama, Yutaka Higashiyama:
RakutenAI-7B: Extending Large Language Models for Japanese. CoRR abs/2403.15484 (2024) - Tiange Luo, Justin Johnson, Honglak Lee:
View Selection for 3D Captioning via Diffusion Ranking. CoRR abs/2404.07984 (2024)
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retrieved on 2024-11-17 07:49 CET from data curated by the dblp team
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