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Author search results
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- James Taylor — disambiguation page
- James Taylor 0001
Johns Hopkins University, Department of Biology, Baltimore, MD, USA - James Taylor 0002
aka: James A. Taylor 0002
ITAP, Univ Montpellier, INRAE, Montpellier, France - James Taylor 0003
Research Organization of Information and Systems, Tokyo, Japan
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Publication search results
found 724 matches
- 2024
- David C. Hollock, Nicholas J. Brunsink, Austin B. Whittaker, Andrew Cannon Lawson, Toni B. Pence, Brittany Morago, Elham Ebrahimi, James Stocker, Amelia Moody, Amy Taylor:
Virtual Access to STEM Careers: In the Field Experiments. IEEE Computer Graphics and Applications 44(2): 73-80 (2024) - Ajay Kumar, James W. Taylor:
Feature importance in the age of explainable AI: Case study of detecting fake news & misinformation via a multi-modal framework. Eur. J. Oper. Res. 317(2): 401-413 (2024) - James R. Jones, Daniel Gottlieb, Andrew J. McMurry, Ashish Atreja, Pankaja M. Desai, Brian E. Dixon, Philip R. O. Payne, Anil J. Saldanha, Prabhu R. V. Shankar, Yauheni Solad, Adam B. Wilcox, Momeena S. Ali, Eugene Kang, Andrew M. Martin, Elizabeth Sprouse, David E. Taylor, Michael Terry, Vladimir Ignatov, Kenneth D. Mandl:
Real world performance of the 21st Century Cures Act population-level application programming interface. J. Am. Medical Informatics Assoc. 31(5): 1144-1150 (2024) - Derek Worth, Jeffrey Choate, James Lynch, Scott Nykl, Clark N. Taylor:
Relative vectoring using dual object detection for autonomous aerial refueling. Neural Comput. Appl. 36(17): 10143-10163 (2024) - Benjamin Rader, Neil K. R. Sehgal, Julie Michelman, Stefan Mellem, Marinanicole D. Schultheiss, Tom Hoddes, Jamie Macfarlane, Geoff Clark, Shawn O'Banion, Paul Eastham, Gaurav Tuli, James A. Taylor, John S. Brownstein:
Adherence to non-pharmaceutical interventions following COVID-19 vaccination: a federated cohort study. npj Digit. Medicine 7(1) (2024) - James Reed, Kartik Naik, Andrew Abney, Dillon Herbert, Jacob B. Fine, Ashwin Vadlamannati, James Morris, Trip Taylor, Michael Muglia, Kenneth Granlund, Matthew Bryant, Chris Vermillion:
Experimental Validation of an Iterative Learning-Based Flight Trajectory Optimizer for an Underwater Kite. IEEE Trans. Control. Syst. Technol. 32(4): 1240-1253 (2024) - Alexander D. J. Taylor, Phillip Tregidgo, Jonathan James Morrison, Neill D. F. Campbell:
VisionAD, a software package of performant anomaly detection algorithms, and Proportion Localised, an interpretable metric. Trans. Mach. Learn. Res. 2024 (2024) - Nathan S. Nichols, J. Taylor Childers, Tyler James Burch, Laurence Field:
Improving Performance Portability of the Procedurally Generated High Energy Physics Event Generator MadGraph Using SYCL. IWOCL 2024: 8:1-8:8 - Joon-Seok Kim, Gautam Malviya Thakur, Licia Amichi, Annetta Burger, Chathika Gunaratne, Joseph V. Tuccillo, Taylor Hauser, Joseph Bentley, Kevin A. Sparks, Debraj De, Chance Brown, Elizabeth C. McBride, Jesse McGaha, James D. Gaboardi, Xiuling Nie, Steven Carter Christopher:
HumoNet: A Framework for Realistic Modeling and Simulation of Human Mobility Network. MDM 2024: 185-194 - Hayley LeBlanc, Nathan Taylor, James Bornholt, Vijay Chidambaram:
SquirrelFS: using the Rust compiler to check file-system crash consistency. OSDI 2024: 387-404 - Taylor R. Schorlemmer, Kelechi G. Kalu, Luke Chigges, Kyung Myung Ko, Eman Abdul-Muhd Abu Isghair, Saurabh Baghi, Santiago Torres-Arias, James C. Davis:
Signing in Four Public Software Package Registries: Quantity, Quality, and Influencing Factors. CoRR abs/2401.14635 (2024) - Rui Yang, Haoran Liu, Edison Marrese-Taylor, Qingcheng Zeng, Yuhe Ke, Wanxin Li, Lechao Cheng, Qingyu Chen, James Caverlee, Yutaka Matsuo, Irene Li:
KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques. CoRR abs/2403.05881 (2024) - James C. Davis, Purvish Jajal, Wenxin Jiang, Taylor R. Schorlemmer, Nicholas Synovic, George K. Thiruvathukal:
Reusing Deep Learning Models: Challenges and Directions in Software Engineering. CoRR abs/2404.16688 (2024) - Yuta Nagano, Andrew Pyo, Martina Milighetti, James Henderson, John Shawe-Taylor, Benny Chain, Andreas Tiffeau-Mayer:
Contrastive learning of T cell receptor representations. CoRR abs/2406.06397 (2024) - Hayley LeBlanc, Nathan Taylor, James Bornholt, Vijay Chidambaram:
SquirrelFS: using the Rust compiler to check file-system crash consistency. CoRR abs/2406.09649 (2024) - Chinenye Okafor, Taylor R. Schorlemmer, Santiago Torres-Arias, James C. Davis:
SoK: Analysis of Software Supply Chain Security by Establishing Secure Design Properties. CoRR abs/2406.10109 (2024) - Taylor R. Schorlemmer, Ethan H. Burmane, Kelechi G. Kalu, Santiago Torres-Arias, James C. Davis:
Establishing Provenance Before Coding: Traditional and Next-Gen Signing. CoRR abs/2407.03949 (2024) - 2023
- Oguzhan Topsakal, Tahir Cetin Akinci, Joshua Murphy, Taylor Lee-James Preston, Mehmet Mazhar Çelikoyar:
Detecting Facial Landmarks on 3D Models Based on Geometric Properties - A Review of Algorithms, Enhancements, Additions and Open-Source Implementations. IEEE Access 11: 25593-25603 (2023) - James W. Taylor, Kathryn S. Taylor:
Combining probabilistic forecasts of COVID-19 mortality in the United States. Eur. J. Oper. Res. 304(1): 25-41 (2023) - Luis E. Pérez-Cortés, Taylor M. Kessner:
The Future of Games Scholarship: An Interview With James Paul Gee. Games Cult. 18(7): 907-918 (2023) - Nicole Ludwig, Siddharth Arora, James W. Taylor:
Probabilistic load forecasting using post-processed weather ensemble predictions. J. Oper. Res. Soc. 74(3): 1008-1020 (2023) - Siddharth Arora, James W. Taylor, Ho-Yin Mak:
Probabilistic Forecasting of Patient Waiting Times in an Emergency Department. Manuf. Serv. Oper. Manag. 25(4): 1489-1508 (2023) - Punya Alahakoon, Peter G. Taylor, James M. McCaw:
How effective were Australian Quarantine Stations in mitigating transmission aboard ships during the influenza pandemic of 1918-19? PLoS Comput. Biol. 19(11) (2023) - Rachel Huber Magoffin, Riley Hales, Bolívar Erazo, E. James Nelson, Karina Larco, Taylor James Miskin:
Evaluating the Performance of Satellite Derived Temperature and Precipitation Datasets in Ecuador. Remote. Sens. 15(24): 5713 (2023) - Todd W. Neller, Raechel Walker, Olivia Dias, Zeynep Yalçin, Cynthia Breazeal, Matthew E. Taylor, Michele Donini, Erin J. Talvitie, Charlie Pilgrim, Paolo Turrini, James Maher, Matthew Boutell, Justin Wilson, Narges Norouzi, Jonathan Scott:
Model AI Assignments 2023. AAAI 2023: 16104-16105 - Sophie A. Martin, Francesca Biondo, James H. Cole, Beatrice Taylor:
Brain Matters: Exploring Bias in AI for Neuroimaging Research. CLIP/FAIMI/EPIMI@MICCAI 2023: 112-121 - Maciej Sypetkowski, Morteza Rezanejad, Saber Saberian, Oren Kraus, John Urbanik, James Taylor, Ben Mabey, Mason Victors, Jason Yosinski, Alborz Rezazadeh Sereshkeh, Imran S. Haque, Berton Earnshaw:
RxRx1: A Dataset for Evaluating Experimental Batch Correction Methods. CVPR Workshops 2023: 4285-4294 - Juandalyn Coffen-Burke, Kai-Wen K. Yang, Zoljargal Lkhagvajav, Yuzhi L. Lu, Tamisha Dzifa Segbefia, Natalie Wang, James Michael Stevenson, Casey Overby Taylor:
Designing Software for Genomics Medicine Service Leaders to Engage Stakeholders. ICHI 2023: 398-406 - Wenxin Jiang, Nicholas Synovic, Matt Hyatt, Taylor R. Schorlemmer, Rohan Sethi, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis:
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry. ICSE 2023: 2463-2475 - James C. Davis, Purvish Jajal, Wenxin Jiang, Taylor R. Schorlemmer, Nicholas Synovic, George K. Thiruvathukal:
Reusing Deep Learning Models: Challenges and Directions in Software Engineering. JVA 2023: 17-30
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