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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 484 matches
- 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, M. Mahdi Roozbahani, Duen Horng Chau:
VG: Automatic Grading of D3 Visualizations. IEEE Trans. Vis. Comput. Graph. 30(1): 617-627 (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 - 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 - 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) - 2023
- Konstantin Pavlov, Alexey Perchik, Vladimir Tsepulin, George Megre, Evgenii Nikolaev, Elena Volkova, Georgii Nigmatulin, Jaehyuck Park, Namseok Chang, Wonseok Lee, Justin Younghyun Kim:
Sweat Loss Estimation Algorithm for Smartwatches. IEEE Access 11: 23926-23934 (2023) - Michail Mamalakis, Pankaj Garg, Tom Nelson, Justin Lee, Andrew J. Swift, James M. Wild, Richard H. Clayton:
Artificial Intelligence framework with traditional computer vision and deep learning approaches for optimal automatic segmentation of left ventricle with scar. Artif. Intell. Medicine 143: 102610 (2023) - Michail Mamalakis, Pankaj Garg, Tom Nelson, Justin Lee, Andrew J. Swift, Jim M. Wild, Richard H. Clayton:
Automatic development of 3D anatomical models of border zone and core scar regions in the left ventricle. Comput. Medical Imaging Graph. 103: 102152 (2023) - Marie A. R. Manalili, Amy Pearson, Justin Sulik, Louise Creechan, Mahmoud Elsherif, Inika Murkumbi, Flavio Azevedo, Kathryn L. Bonnen, Judy S. Kim, Konrad P. Kording, Julie J. Lee, Manifold Obscura, Steven K. Kapp, Jan Philipp Röer, Talia Morstead:
From Puzzle to Progress: How Engaging With Neurodiversity Can Improve Cognitive Science. Cogn. Sci. 47(2) (2023) - Ashley A. Knapp, Emily Hersch, Clarisa Wijaya, Miguel A. Herrera, Kaylee Payne Kruzan, Allison J. Carroll, Sydney Lee, Alex Baker, Alanna Gray, Vann Harris, Robert Simmons, Deepika Kour Sodhi, Nanette Hannah, Madhu C. Reddy, Niranjan S. Karnik, Justin D. Smith, C. Hendricks Brown, David C. Mohr:
"The library is so much more than books": considerations for the design and implementation of teen digital mental health services in public libraries. Frontiers Digit. Health 5 (2023) - Anne E. Thessen, Laurel Cooper, Tyson L. Swetnam, Harshad Hegde, Justin T. Reese, Justin Elser, Pankaj Jaiswal:
Using knowledge graphs to infer gene expression in plants. Frontiers Artif. Intell. 6 (2023) - Timothy Bergquist, Thomas Schaffter, Yao Yan, Thomas Yu, Justin Prosser, Jifan Gao, Guanhua Chen, Lukasz Charzewski, Zofia Nawalany, Ivan Brugere, Renata Retkute, Alidivinas Prusokas, Augustinas Prusokas, Yonghwa Choi, Sanghoon Lee, Junseok Choe, Inggeol Lee, Sunkyu Kim, Jaewoo Kang, Sean D. Mooney, Justin Guinney:
Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine. J. Am. Medical Informatics Assoc. 31(1): 35-44 (2023) - Joffrey L. Leevy, Justin M. Johnson, John T. Hancock, Taghi M. Khoshgoftaar:
Threshold optimization and random undersampling for imbalanced credit card data. J. Big Data 10(1): 58 (2023) - Justin G. Laughlin, Jørgen S. Dokken, Henrik Nicolay Topnes Finsberg, Emmet A. Francis, Christopher T. Lee, Marie E. Rognes, Padmini Rangamani:
SMART: Spatial Modeling Algorithms for Reactions and Transport. J. Open Source Softw. 8(91): 5580 (2023) - Barbara R. Terlouw, Kai Blin, Jorge C. Navarro-Muñoz, Nicole E. Avalon, Marc G. Chevrette, Susan Egbert, Sanghoon Lee, David Meijer, Michael J. Recchia, Zachary L. Reitz, Jeffrey A. van Santen, Nelly Selem Mojica, Thomas Tørring, Liana Zaroubi, Mohammad Alanjary, Gajender Aleti, César Aguilar, Suhad A. Al-Salihi, Hannah E. Augustijn, J. Abraham Avelar-Rivas, Luis A. Avitia-Domínguez, Francisco Barona-Gómez, Jordan Bernaldo-Agüero, Vincent A. Bielinski, Friederike Biermann, Thomas J. Booth, J. Carrion Bravo, Raquel Castelo-Branco, Fernanda O. Chagas, Pablo Cruz-Morales, Chao Du, Katherine R. Duncan, Athina Gavriilidou, Damien Gayrard, Karina Gutiérrez-García, Kristina Haslinger, Eric J. N. Helfrich, Justin J. J. van der Hooft, Afif P. Jati, Edward Kalkreuter, Nikolaos Kalyvas, Kyo Bin Kang, Satria A. Kautsar, Wonyong Kim, Aditya M. Kunjapur, Yong-Xin Li, Geng-Min Lin, Catarina Loureiro, Joris J. R. Louwen, Nico l L. Louwen, George Lund, Jonathan Parra, Benjamin Philmus, Bita Pourmohsenin, Lotte U. Pronk, Adriana Rego, Devasahayam Arokia Balaya Rex, Serina L. Robinson, L. Rodrigo Rosas-Becerra, Eve T. Roxborough, Michelle A. Schorn, Darren J. Scobie, Kumar Saurabh Singh, Nika Sokolova, Xiaoyu Tang, Daniel W. Udwary, Aruna Vigneshwari, Kristiina Vind, Sophie P. J. M. Vromans, Valentin Waschulin, Sam E. Williams, Jaclyn M. Winter, Thomas E. Witte, Huali Xie, Dong Yang, Jingwei Yu, Mitja Zdouc, Zheng Zhong, Jérôme Collemare, Roger G. Linington, Tilmann Weber, Marnix H. Medema:
MIBiG 3.0: a community-driven effort to annotate experimentally validated biosynthetic gene clusters. Nucleic Acids Res. 51(D1): 603-610 (2023) - Junghan Kwon, David Bombara, Clark B. Teeple, Joonhaeng Lee, Chuck Hoberman, Robert J. Wood, Justin Werfel:
Transformable Linkage-Based Gripper for Multi-Mode Grasping and Manipulation. IEEE Robotics Autom. Lett. 8(12): 8446-8453 (2023) - Junhyung Moon, Minsuk Oh, Soljee Kim, Kyoungwoo Lee, Junga Lee, Yoonkyung Song, Justin Y. Jeon:
Intelligent Estimation of Exercise Induced Energy Expenditure Including Excess Post-Exercise Oxygen Consumption (EPOC) with Different Exercise Intensity. Sensors 23(22): 9235 (2023) - Tiange Luo, Honglak Lee, Justin Johnson:
Neural Shape Compiler: A Unified Framework for Transforming between Text, Point Cloud, and Program. Trans. Mach. Learn. Res. 2023 (2023) - Peng-Jen Chen, Kevin Tran, Yilin Yang, Jingfei Du, Justine Kao, Yu-An Chung, Paden Tomasello, Paul-Ambroise Duquenne, Holger Schwenk, Hongyu Gong, Hirofumi Inaguma, Sravya Popuri, Changhan Wang, Juan Pino, Wei-Ning Hsu, Ann Lee:
Speech-to-Speech Translation for a Real-world Unwritten Language. ACL (Findings) 2023: 4969-4983 - Justin J. Kim, Wonho Lee, James F. Buckwalter:
A 12-162 GHz Distributed Amplifier in a 45-nm BiCMOS SOI Process Achieving 2.67 THz Gain-Bandwidth Using an Active Bias Termination. BCICTS 2023: 171-174 - Justin Holmgren, Ruta Jawale:
Locally Covert Learning. ITC 2023: 14:1-14:12 - Joshua McGraw, Donsuk Lee, Justin N. Wood:
Parallel development of social preferences in fish and machines. CogSci 2023 - Denizhan Pak, Donsuk Lee, Samantha Marie Waters Wood, Justin N. Wood:
A newborn embodied Turing test for view-invariant object recognition. CogSci 2023 - Alexander Golovnev, Jonathan Lee, Srinath T. V. Setty, Justin Thaler, Riad S. Wahby:
Brakedown: Linear-Time and Field-Agnostic SNARKs for R1CS. CRYPTO (2) 2023: 193-226
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