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Publication search results
found 295 matches
- 2024
- Justin B. Davidson, Joshua G. A. Cashaback, Steven L. Fischer:
Exploring Optimal Objective Function Weightings to Predict Lifting Postures Under Unfatigued and Fatigued States. Hum. Factors 66(2): 510-527 (2024) - Kevin D. Murray, Justin O. Borevitz, Detlef Weigel, Norman Warthmann:
Acanthophis: a comprehensive plant hologenomics pipeline. J. Open Source Softw. 9(96): 6062 (2024) - Qiaosi Wang, Sarah Walsh, Mei Si, Jeffrey Kephart, Justin D. Weisz, Ashok K. Goel:
Theory of Mind in Human-AI Interaction. CHI Extended Abstracts 2024: 493:1-493:6 - Gabriel Enrique Gonzalez, Dario Andres Silva Moran, Stephanie Houde, Jessica He, Steven I. Ross, Michael J. Muller, Siya Kunde, Justin D. Weisz:
Collaborative Canvas: A Tool for Exploring LLM Use in Group Ideation Tasks. IUI Workshops 2024 - Nael Mizanur Rahman, Sudarshan Sharma, Coleman DeLude, Wei Chun Wang, Justin Romberg, Saibal Mukhopadhyay:
BeamCIM: A Compute-In-Memory based Broadband Beamforming Accelerator using Linear Embedding. RWS 2024: 46-49 - 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) - Jim Pruyne, Valérie Hayot-Sasson, Weijian Zheng, Ryan Chard, Justin M. Wozniak, Tekin Bicer, Kyle Chard, Ian T. Foster:
Steering a Fleet: Adaptation for Large-Scale, Workflow-Based Experiments. CoRR abs/2403.06077 (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) - Sujeevan Ratnasingham, Catherine Wei, Dean Chan, Jireh Agda, Josh Agda, Liliana Ballesteros-Mejia, Hamza Ait Boutou, Zak Mohammad El Bastami, Eddie Y. T. Ma, Ramya Manjunath, Dana Rea, Chris C. Y. Ho, Angela Telfer, Jaclyn McKeowan, Miduna Rahulan, Claudia Steinke, Justin Dorsheimer, Megan Milton, Paul D. N. Hebert:
BOLD v4: A Centralized Bioinformatics Platform for DNA-based Biodiversity Data. CoRR abs/2404.05696 (2024) - 2023
- Nick Strayer, Siwei Zhang, Lydia Yao, Tess Vessels, Cosmin Adrian Bejan, Ryan S. Hsi, Jana K. Shirey-Rice, Justin M. Balko, Douglas B. Johnson, Elizabeth J. Phillips, Alex Bick, Todd L. Edwards, Digna R. Velez Edwards, Jill M. Pulley, Quinn Stanton Wells, Michael R. Savona, Nancy J. Cox, Dan M. Roden, Douglas M. Ruderfer, Yaomin Xu:
Interactive network-based clustering and investigation of multimorbidity association matrices with associationSubgraphs. Bioinform. 39(1) (2023) - Muhammad Ahmad Raza, Mehran Abolhasan, Justin Lipman, Negin Shariati, Wei Ni, Abbas Jamalipour:
Statistical Learning-Based Adaptive Network Access for the Industrial Internet of Things. IEEE Internet Things J. 10(14): 12219-12233 (2023) - Pascal S. Brandt, Abel N. Kho, Yuan Luo, Jennifer A. Pacheco, Theresa L. Walunas, Hakon Hakonarson, George Hripcsak, Cong Liu, Ning Shang, Chunhua Weng, Nephi Walton, David S. Carrell, Paul K. Crane, Eric B. Larson, Christopher G. Chute, Iftikhar J. Kullo, Robert J. Carroll, Joshua C. Denny, Andrea H. Ramirez, Wei-Qi Wei, Jyotishman Pathak, Laura K. Wiley, Rachel L. Richesson, Justin B. Starren, Luke V. Rasmussen:
Characterizing variability of electronic health record-driven phenotype definitions. J. Am. Medical Informatics Assoc. 30(3): 427-437 (2023) - Weijie Sun, Sunil Vasu Kalmady, Nariman Sepehrvand, Amir Salimi, Yousef Nademi, Kevin Bainey, Justin A. Ezekowitz, Russell Greiner, Abram Hindle, Finlay A. McAlister, Roopinder K. Sandhu, Padma Kaul:
Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms. npj Digit. Medicine 6 (2023) - Michael Kam, Shuwen Wei, Justin D. Opfermann, Hamed Saeidi, Michael H. Hsieh, Karen C. Wang, Jin U. Kang, Axel Krieger:
Autonomous System for Vaginal Cuff Closure via Model-Based Planning and Markerless Tracking Techniques. IEEE Robotics Autom. Lett. 8(7): 3915-3922 (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 - Upol Ehsan, Philipp Wintersberger, Elizabeth Anne Watkins, Carina Manger, Gonzalo A. Ramos, Justin D. Weisz, Hal Daumé III, Andreas Riener, Mark O. Riedl:
Human-Centered Explainable AI (HCXAI): Coming of Age. CHI Extended Abstracts 2023: 353:1-353:7 - Jessica He, David Piorkowski, Michael J. Muller, Kristina Brimijoin, Stephanie Houde, Justin D. Weisz:
Understanding How Task Dimensions Impact Automation Preferences with a Conversational Task Assistant. AutomationXP@CHI 2023 - Manuel R. Ciosici, Alex Hedges, Yash Kankanampati, Justin Martin, Marjorie Freedman, Ralph M. Weischedel:
Remember what you did so you know what to do next. EMNLP (Findings) 2023: 1550-1562 - Sudarshan Sharma, Wei Chun Wang, Coleman DeLude, Minah Lee, Nael Mizanur Rahman, Narasimha Vasishta Kidambi, Justin Romberg, Saibal Mukhopadhyay:
AFE-CIM: A Current-Domain Compute-In-Memory Macro for Analog-to-Feature Extraction. ESSCIRC 2023: 33-36 - Xiaoyu Ji, Justin Yang, Jishang Wei, Yvonne Huang, Shibo Zhang, Qian Lin, Jan P. Allebach, Fengqing Zhu:
Classifier Guided Domain Adaptation for VR Facial Expression Tracking. ICME Workshops 2023: 230-235 - Justin Yang, Xiaoyu Ji, Jishang Wei, Yvonne Huang, Shibo Zhang, Qian Lin, Jan P. Allebach, Fengqing Zhu:
VR Facial Expression Tracking Using Locally Linear Embedding. ICME Workshops 2023: 236-241 - Varsha Kishore, Chao Wan, Justin Lovelace, Yoav Artzi, Kilian Q. Weinberger:
IncDSI: Incrementally Updatable Document Retrieval. ICML 2023: 17122-17134 - Steven I. Ross, Fernando Martinez, Stephanie Houde, Michael J. Muller, Justin D. Weisz:
The Programmer's Assistant: Conversational Interaction with a Large Language Model for Software Development. IUI 2023: 491-514 - Steven I. Ross, Michael J. Muller, Fernando Martinez, Stephanie Houde, Justin D. Weisz:
A Case Study in Engineering a Conversational Programming Assistant's Persona 121-129. IUI Workshops 2023: 121-129 - Justin Meza, Thote Gowda, Ahmed Eid, Tomiwa Ijaware, Dmitry Chernyshev, Yi Yu, Md Nazim Uddin, Rohan Das, Chad Nachiappan, Sari Tran, Shuyang Shi, Tina Luo, David Ke Hong, Sankaralingam Panneerselvam, Hans Ragas, Svetlin Manavski, Weidong Wang, Francois Richard:
Defcon: Preventing Overload with Graceful Feature Degradation. OSDI 2023: 607-622 - Joel Coffman, Adrian A. de Freitas, Justin M. Hill, Troy Weingart:
Visual vs. Textual Programming Languages in CS0.5: Comparing Student Learning with and Student Perception of RAPTOR and Python. SIGCSE (1) 2023: 32-38 - Adrian A. de Freitas, Joel Coffman, Michelle M. de Freitas, Justin C. Wilson, Troy Weingart:
FalconCode: A Multiyear Dataset of Python Code Samples from an Introductory Computer Science Course. SIGCSE (1) 2023: 938-944 - Steven I. Ross, Michael J. Muller, Fernando Martinez, Stephanie Houde, Justin D. Weisz:
A Case Study in Engineering a Conversational Programming Assistant's Persona. CoRR abs/2301.10016 (2023) - Steven I. Ross, Fernando Martinez, Stephanie Houde, Michael J. Muller, Justin D. Weisz:
The Programmer's Assistant: Conversational Interaction with a Large Language Model for Software Development. CoRR abs/2302.07080 (2023) - Shuijing Liu, Aamir Hasan, Kaiwen Hong, Chun-Kai Yao, Justin Lin, Weihang Liang, Megan A. Bayles, Wendy A. Rogers, Katherine Rose Driggs-Campbell:
Designing a Wayfinding Robot for People with Visual Impairments. CoRR abs/2302.09144 (2023)
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