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Publication search results
found 149 matches
- 2024
- Duc M. Le, Andrew R. Teel, Warren E. Dixon:
A Switched System Dwell-Time Update Mechanism for Path Following With Intermittent State Feedback Constraints. IEEE Trans. Autom. Control. 69(7): 4820-4827 (2024) - Heather R. Chamberlain, Edith Darin, Wole Ademola Adewole, Warren C. Jochem, Attila N. Lázár, Andrew J. Tatem:
Building footprint data for countries in Africa: To what extent are existing data products comparable? Comput. Environ. Urban Syst. 110: 102104 (2024) - Elahe Vedadi, Joshua V. Dillon, Philip Andrew Mansfield, Karan Singhal, Arash Afkanpour, Warren Richard Morningstar:
Federated Variational Inference: Towards Improved Personalization and Generalization. AAAI Spring Symposia 2024: 323-327 - Gabriel Strain, Andrew J. Stewart, Paul A. Warren, Caroline Jay:
Effects of Point Size and Opacity Adjustments in Scatterplots. CHI 2024: 205:1-205:13 - Warren R. Morningstar, Alex Bijamov, Chris Duvarney, Luke Friedman, Neha Mukund Kalibhat, Luyang Liu, Philip Andrew Mansfield, Renan A. Rojas-Gomez, Karan Singhal, Bradley Green, Sushant Prakash:
Augmentations vs Algorithms: What Works in Self-Supervised Learning. CoRR abs/2403.05726 (2024) - 2023
- Zhongda Huang, Andy Ogilvy, Steve Collins, Warren L. Hare, Michelle Hilts, Andrew Jirasek:
A Hybrid Direct Search and Model-Based Derivative-Free Optimization Method with Dynamic Decision Processing and Application in Solid-Tank Design. Algorithms 16(2): 92 (2023) - Parantapa Bhattacharya, Jiangzhuo Chen, Stefan Hoops, Dustin Machi, Bryan L. Lewis, Srinivasan Venkatramanan, Mandy L. Wilson, Brian Klahn, Aniruddha Adiga, Benjamin Hurt, Joseph Outten, Abhijin Adiga, Andrew S. Warren, Young Yun Baek, Przemyslaw J. Porebski, Achla Marathe, Dawen Xie, Samarth Swarup, Anil Vullikanti, Henning S. Mortveit, Stephen G. Eubank, Christopher L. Barrett, Madhav Vinayak Marathe:
Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support. Int. J. High Perform. Comput. Appl. 37(1): 4-27 (2023) - Gabriel Strain, Andrew J. Stewart, Paul A. Warren, Caroline Jay:
The Effects of Contrast on Correlation Perception in Scatterplots. Int. J. Hum. Comput. Stud. 176: 103040 (2023) - Robert D. Olson, Rida Assaf, Thomas S. Brettin, Neal Conrad, Clark Cucinell, James J. Davis, Donald M. Dempsey, Allan Dickerman, Emily M. Dietrich, Ronald W. Kenyon, Mehmet Kuscuoglu, Elliot J. Lefkowitz, Jian Lu, Dustin Machi, Catherine Macken, Chunhong Mao, Anna Maria Niewiadomska, Marcus Nguyen, Gary J. Olsen, Jamie C. Overbeek, Bruce D. Parrello, Victoria Parrello, Jacob s Porter, Gordon D. Pusch, Maulik Shukla, Indresh Singh, Lucy Stewart, Gene Tan, Chris Thomas, Margo VanOeffelen, Veronika Vonstein, Zachary S. Wallace, Andrew S. Warren, Alice R. Wattam, Fangfang Xia, Hyun Seung Yoo, Yun Zhang, Christian M. Zmasek, Richard H. Scheuermann, Rick L. Stevens:
Introducing the Bacterial and Viral Bioinformatics Resource Center (BV-BRC): a resource combining PATRIC, IRD and ViPR. Nucleic Acids Res. 51(D1): 678-689 (2023) - Atif Khan, Conor Lawless, Amy E. Vincent, Charlotte Warren, Valeria Di Leo, Tiago Gomes, A. Stephen McGough:
NCL-SM: A Fully Annotated Dataset of Images from Human Skeletal Muscle Biopsies. IEEE Big Data 2023: 3704-3710 - Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Will Cukierski, Juan Ciro, Lora Aroyo, Bilge Acun, Lingjiao Chen, Mehul Raje, Max Bartolo, Evan Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Addison Howard, Oana Inel, Tariq Kane, Christine R. Kirkpatrick, D. Sculley, Tzu-Sheng Kuo, Jonas W. Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Y. Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi:
DataPerf: Benchmarks for Data-Centric AI Development. NeurIPS 2023 - Elahe Vedadi, Joshua V. Dillon, Philip Andrew Mansfield, Karan Singhal, Arash Afkanpour, Warren Richard Morningstar:
Federated Variational Inference: Towards Improved Personalization and Generalization. CoRR abs/2305.13672 (2023) - Kevin Maik Jablonka, Qianxiang Ai, Alexander Al-Feghali, Shruti Badhwar, Joshua D. Bocarsly, Andres M. Bran, Stefan Bringuier, L. Catherine Brinson, Kamal Choudhary, Defne Circi, Sam Cox, Wibe A. de Jong, Matthew L. Evans, Nicolas Gastellu, Jerome Genzling, María Victoria Gil, Ankur K. Gupta, Zhi Hong, Alishba Imran, Sabine Kruschwitz, Anne Labarre, Jakub Lála, Tao Liu, Steven Ma, Sauradeep Majumdar, Garrett W. Merz, Nicolas Moitessier, Elias Moubarak, Beatriz Mouriño, Brenden Pelkie, Michael Pieler, Mayk Caldas Ramos, Bojana Rankovic, Samuel G. Rodriques, Jacob N. Sanders, Philippe Schwaller, Marcus Schwarting, Jiale Shi, Berend Smit, Ben E. Smith, Joren Van Heck, Christoph Völker, Logan T. Ward, Sean Warren, Benjamin Weiser, Sylvester Zhang, Xiaoqi Zhang, Ghezal Ahmad Zia, Aristana Scourtas, K. J. Schmidt, Ian T. Foster, Andrew D. White, Ben Blaiszik:
14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon. CoRR abs/2306.06283 (2023) - Pengfei Guo, Warren Richard Morningstar, Raviteja Vemulapalli, Karan Singhal, Vishal M. Patel, Philip Andrew Mansfield:
Towards Federated Learning Under Resource Constraints via Layer-wise Training and Depth Dropout. CoRR abs/2309.05213 (2023) - Philip Andrew Mansfield, Arash Afkanpour, Warren Richard Morningstar, Karan Singhal:
Random Field Augmentations for Self-Supervised Representation Learning. CoRR abs/2311.03629 (2023) - Warren Del-Pinto, George Demetriou, Meghna Jani, Rikesh Patel, Leanne Gray, Alex Bulcock, Niels Peek, Andrew S. Kanter, William G. Dixon, Goran Nenadic:
Exploring the Consistency, Quality and Challenges in Manual and Automated Coding of Free-text Diagnoses from Hospital Outpatient Letters. CoRR abs/2311.10856 (2023) - Atif Khan, Conor Lawless, Amy E. Vincent, Charlotte Warren, Valeria Di Leo, Tiago Gomes, A. Stephen McGough:
Introducing NCL-SM: A Fully Annotated Dataset of Images from Human Skeletal Muscle Biopsies. CoRR abs/2311.11099 (2023) - Atif Khan, Conor Lawless, Amy E. Vincent, Charlotte Warren, Valeria Di Leo, Tiago Gomes, A. Stephen McGough:
NCL-SM: A Fully Annotated Dataset of Images from Human Skeletal Muscle Biopsies. CoRR abs/2311.15113 (2023) - Renan A. Rojas-Gomez, Karan Singhal, Ali Etemad, Alex Bijamov, Warren R. Morningstar, Philip Andrew Mansfield:
SASSL: Enhancing Self-Supervised Learning via Neural Style Transfer. CoRR abs/2312.01187 (2023) - Neha Mukund Kalibhat, Warren R. Morningstar, Alex Bijamov, Luyang Liu, Karan Singhal, Philip Andrew Mansfield:
Disentangling the Effects of Data Augmentation and Format Transform in Self-Supervised Learning of Image Representations. CoRR abs/2312.02205 (2023) - Ting Wang, Keith Stelter, Jenn Floyd, Thomas O'Neill, Nathaniel Hendrix, Andrew W. Bazemore, Kevin Rode, Warren Newton:
Blueprinting the Future: Automatic Item Categorization using Hierarchical Zero-Shot and Few-Shot Classifiers. CoRR abs/2312.03561 (2023) - 2022
- Jason A. Thomas, Randi E. Foraker, Noa Zamstein, Jon D. Morrow, Philip R. O. Payne, Adam B. Wilcox, Melissa A. Haendel, Christopher G. Chute, Kenneth R. Gersing, Anita Walden, Tellen D. Bennett, David A. Eichmann, Justin Guinney, Warren A. Kibbe, Hongfang Liu, Emily R. Pfaff, Peter N. Robinson, Joel H. Saltz, Heidi Spratt, Justin Starren, Christine Suver, Chunlei Wu, Davera Gabriel, Stephanie S. Hong, Kristin Kostka, Harold P. Lehmann, Richard A. Moffitt, Michele Morris, Matvey B. Palchuk, Xiaohan Tanner Zhang, Richard L. Zhu, Benjamin R. C. Amor, Mark M. Bissell, Marshall Clark, Andrew T. Girvin, Adam M. Lee, Robert T. Miller, Kellie M. Walters, Yooree Chae, Connor Cook, Alexandra Dest, Racquel R. Dietz, Thomas Dillon, Patricia A. Francis, Rafael Fuentes, Alexis Graves, Andrew J. Neumann, Shawn T. O'Neil, Usman Sheikh, Andréa M. Volz, Elizabeth Zampino, Christopher P. Austin, Samuel Bozzette, Mariam Deacy, Nicole Garbarini, Michael G. Kurilla, Sam G. Michael, Joni L. Rutter, Meredith Temple-O'Connor, Katie Rebecca Bradwell, Amin Manna, Nabeel Qureshi, Mary Morrison Saltz, Julie A. McMurry, Carolyn T. Bramante, Jeremy Richard Harper, Wenndy Hernandez, Farrukh M. Koraishy, Federico Mariona, Saidulu Mattapally, Amit Saha, Satyanarayana Vedula, Yujuan Fu, Nisha Mathews, Ofer Mendelevitch:
Demonstrating an approach for evaluating synthetic geospatial and temporal epidemiologic data utility: results from analyzing >1.8 million SARS-CoV-2 tests in the United States National COVID Cohort Collaborative (N3C). J. Am. Medical Informatics Assoc. 29(8): 1350-1365 (2022) - Beatrice Amos, Cristina Aurrecoechea, Matthieu Barba, Ana Barreto, Evelina Y. Basenko, Wojciech Bazant, Robert Belnap, Ann S. Blevins, Ulrike Böhme, John Brestelli, Brian P. Brunk, Mark J. Caddick, Danielle Callan, Lahcen I. Campbell, Mikkel B. Christensen, George K. Christophides, Kathryn Crouch, Kristina Davis, Jeremy D. DeBarry, Ryan Doherty, Yikun Duan, Michael Dunn, Dave Falke, Steve Fisher, Paul Flicek, Brett Fox, Bindu Gajria, Gloria I. Giraldo-Calderón, Omar S. Harb, Elizabeth Harper, Christiane Hertz-Fowler, Mark J. Hickman, Connor Howington, Sufen Hu, Jay C. Humphrey, John Iodice, Andrew R. Jones, John Judkins, Sarah A. Kelly, Jessica C. Kissinger, Dae Kun Kwon, Kristopher Lamoureux, Daniel Lawson, Wei Li, Kallie Lies, Disha Lodha, Jamie Long, Robert M. MacCallum, Gareth Maslen, Mary Ann McDowell, Jaroslaw Nabrzyski, David S. Roos, Samuel S. C. Rund, Stephanie wever Schulman, Achchuthan Shanmugasundram, Vasily Sitnik, Drew Spruill, David Starns, Christian J. Stoeckert Jr., Sheena Shah Tomko, Haiming Wang, Susanne Warrenfeltz, Robert Wieck, Paul A. Wilkinson, Lin Xu, Jie Zheng:
VEuPathDB: the eukaryotic pathogen, vector and host bioinformatics resource center. Nucleic Acids Res. 50(D1): 898-911 (2022) - Flavio Iturbide-Sanchez, Larrabee L. Strow, David C. Tobin, Yong Chen, Denis Tremblay, Robert O. Knuteson, David G. Johnson, Clayton Buttles, Lawrence Suwinski, Bruce P. Thomas, Adhemar R. Rivera, Erin Lynch, Kun Zhang, Zhipeng Wang, Warren Porter, Xin Jin, Joe Predina, Reima I. Eresmaa, Andrew Collard, Benjamin C. Ruston, James A. Jung, Christopher D. Barnet, Peter J. Beierle, Banghua Yan, Daniel L. Mooney, Henry E. Revercomb:
Recalibration and Assessment of the SNPP CrIS Instrument: A Successful History of Restoration After Midwave Infrared Band Anomaly. IEEE Trans. Geosci. Remote. Sens. 60: 1-21 (2022) - Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Juan Ciro, Lora Aroyo, Bilge Acun, Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Tariq Kane, Christine R. Kirkpatrick, Tzu-Sheng Kuo, Jonas Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi:
DataPerf: Benchmarks for Data-Centric AI Development. CoRR abs/2207.10062 (2022) - Raviteja Vemulapalli, Warren Richard Morningstar, Philip Andrew Mansfield, Hubert Eichner, Karan Singhal, Arash Afkanpour, Bradley Green:
Federated Training of Dual Encoding Models on Small Non-IID Client Datasets. CoRR abs/2210.00092 (2022) - 2021
- Margo VanOeffelen, Marcus Nguyen, Derya Aytan-Aktug, Thomas S. Brettin, Emily M. Dietrich, Ronald W. Kenyon, Dustin Machi, Chunhong Mao, Robert Olson, Gordon D. Pusch, Maulik Shukla, Rick Stevens, Veronika Vonstein, Andrew S. Warren, Alice R. Wattam, Hyun Seung Yoo, James J. Davis:
A genomic data resource for predicting antimicrobial resistance from laboratory-derived antimicrobial susceptibility phenotypes. Briefings Bioinform. 22(6) (2021) - Melissa A. Haendel, Christopher G. Chute, Tellen D. Bennett, David A. Eichmann, Justin Guinney, Warren A. Kibbe, Philip R. O. Payne, Emily R. Pfaff, Peter N. Robinson, Joel H. Saltz, Heidi Spratt, Christine Suver, John Wilbanks, Adam B. Wilcox, Andrew E. Williams, Chunlei Wu, Clair Blacketer, Robert L. Bradford, James J. Cimino, Marshall Clark, Evan W. Colmenares, Patricia A. Francis, Davera Gabriel, Alexis Graves, Raju Hemadri, Stephanie S. Hong, George Hripcsak, Dazhi Jiao, Jeffrey G. Klann, Kristin Kostka, Adam M. Lee, Harold P. Lehmann, Lora Lingrey, Robert T. Miller, Michele Morris, Shawn N. Murphy, Karthik Natarajan, Matvey B. Palchuk, Usman Sheikh, Harold Solbrig, Shyam Visweswaran, Anita Walden, Kellie M. Walters, Griffin M. Weber, Xiaohan Tanner Zhang, Richard L. Zhu, Benjamin R. C. Amor, Andrew T. Girvin, Amin Manna, Nabeel Qureshi, Michael G. Kurilla, Sam G. Michael, Lili M. Portilla, Joni L. Rutter, Christopher P. Austin, Ken R. Gersing:
The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment. J. Am. Medical Informatics Assoc. 28(3): 427-443 (2021) - Singanallur V. Venkatakrishnan, Amirkoushyar Ziabari, Jacob D. Hinkle, Andrew W. Needham, Jeffrey M. Warren, Hassina Z. Bilheux:
Convolutional neural network based non-iterative reconstruction for accelerating neutron tomography. Mach. Learn. Sci. Technol. 2(2): 25031 (2021) - David Eng, Christopher Chute, Nishith Khandwala, Pranav Rajpurkar, Jin Long, Sam Shleifer, Mohamed H. Khalaf, Alexander T. Sandhu, Fátima Rodriguez, David J. Maron, Saeed Seyyedi, Daniele Marin, Ilana Golub, Matthew J. Budoff, Felipe Kitamura, Marcelo Straus Takahashi, Ross W. Filice, Rajesh Shah, John Mongan, Kimberly Kallianos, Curtis P. Langlotz, Matthew P. Lungren, Andrew Y. Ng, Bhavik N. Patel:
Automated coronary calcium scoring using deep learning with multicenter external validation. npj Digit. Medicine 4 (2021)
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