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- Paul S. Morgan
aka: Paul Simon Morgan
University of Nottingham, UK
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Publication search results
found 154 matches
- 2024
- K. J. Schmidt, Aristana Scourtas, Logan T. Ward, Steve Wangen, Marcus Schwarting, Isaac Darling, Ethan Truelove, Aadit Ambadkar, Ribhav Bose, Zoa Katok, Jingrui Wei, Xiangguo Li, Ryan Jacobs, Lane Schultz, Doyeon Kim, Michael C. Ferris, Paul M. Voyles, Dane Morgan, Ian T. Foster, Ben Blaiszik:
Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science. J. Open Source Softw. 9(93): 5467 (2024) - Richard Byfield, Morgan Miller, Yunchao Xie, Marci Crosby, Paul Schiltz, Philip Johnson, Jian Lin:
An explainable echo state network trained from photoplethysmography signals for equine life stage prediction. Neural Comput. Appl. 36(32): 20055-20066 (2024) - Nathan Nakamura, Paul Szypryt, Amber L. Dagel, Bradley K. Alpert, Douglas A. Bennett, William Bertrand Doriese, Malcolm Durkin, Joseph W. Fowler, Dylan T. Fox, Johnathon D. Gard, Ryan N. Goodner, James Zachariah Harris, Gene C. Hilton, Edward S. Jimenez, Burke L. Kernen, Kurt W. Larson, Zachary H. Levine, Daniel McArthur, Kelsey M. Morgan, Galen C. O'Neil, Nathan J. Ortiz, Christine G. Pappas, Carl D. Reintsema, Daniel R. Schmidt, Peter A. Schultz, Kyle R. Thompson, Joel N. Ullom, Leila Vale, Courtenay T. Vaughan, Christopher Walker, Joel C. Weber, Jason W. Wheeler, Daniel S. Swetz:
Nanoscale Three-Dimensional Imaging of Integrated Circuits Using a Scanning Electron Microscope and Transition-Edge Sensor Spectrometer. Sensors 24(9): 2890 (2024) - Paul Perronno, Julie Claudinon, Carmen Senin, Norbert Dumas, Martin Bulst, Siegfried Steltenkamp, Winfried Römer, Morgan Madec:
Real-time Detection of Pathogens in Hydroalcoholic Solutions during Hand Disinfection Process. MIXDES 2024: 305-309 - K. J. Schmidt, Aristana Scourtas, Logan T. Ward, Steve Wangen, Marcus Schwarting, Isaac Darling, Ethan Truelove, Aadit Ambadkar, Ribhav Bose, Zoa Katok, Jingrui Wei, Xiangguo Li, Ryan Jacobs, Lane Schultz, Doyeon Kim, Michael Ferris, Paul M. Voyles, Dane Morgan, Ian T. Foster, Ben Blaiszik:
Foundry-ML (latest). Zenodo, 2024 - K. J. Schmidt, Aristana Scourtas, Logan T. Ward, Steve Wangen, Marcus Schwarting, Isaac Darling, Ethan Truelove, Aadit Ambadkar, Ribhav Bose, Zoa Katok, Jingrui Wei, Xiangguo Li, Ryan Jacobs, Lane Schultz, Doyeon Kim, Michael Ferris, Paul M. Voyles, Dane Morgan, Ian T. Foster, Ben Blaiszik:
Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science. Version v0.7.4. Zenodo, 2024 [all versions] - K. J. Schmidt, Aristana Scourtas, Logan T. Ward, Steve Wangen, Marcus Schwarting, Isaac Darling, Ethan Truelove, Aadit Ambadkar, Ribhav Bose, Zoa Katok, Jingrui Wei, Xiangguo Li, Ryan Jacobs, Lane Schultz, Doyeon Kim, Michael Ferris, Paul M. Voyles, Dane Morgan, Ian T. Foster, Ben Blaiszik:
Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science. Version 2. Zenodo, 2024 [all versions] - K. J. Schmidt, Aristana Scourtas, Logan T. Ward, Steve Wangen, Marcus Schwarting, Isaac Darling, Ethan Truelove, Aadit Ambadkar, Ribhav Bose, Zoa Katok, Jingrui Wei, Xiangguo Li, Ryan Jacobs, Lane Schultz, Doyeon Kim, Michael Ferris, Paul M. Voyles, Dane Morgan, Ian T. Foster, Ben Blaiszik:
Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science. Version v0.5.0. Zenodo, 2024 [all versions] - K. J. Schmidt, Aristana Scourtas, Logan T. Ward, Steve Wangen, Marcus Schwarting, Isaac Darling, Ethan Truelove, Aadit Ambadkar, Ribhav Bose, Zoa Katok, Jingrui Wei, Xiangguo Li, Ryan Jacobs, Lane Schultz, Doyeon Kim, Michael Ferris, Paul M. Voyles, Dane Morgan, Ian T. Foster, Ben Blaiszik:
Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science. Multiple versions. Zenodo, 2024 [all versions] - Aleksandar Botev, Soham De, Samuel L. Smith, Anushan Fernando, George-Cristian Muraru, Ruba Haroun, Leonard Berrada, Razvan Pascanu, Pier Giuseppe Sessa, Robert Dadashi, Léonard Hussenot, Johan Ferret, Sertan Girgin, Olivier Bachem, Alek Andreev, Kathleen Kenealy, Thomas Mesnard, Cassidy Hardin, Surya Bhupatiraju, Shreya Pathak, Laurent Sifre, Morgane Rivière, Mihir Sanjay Kale, Juliette Love, Pouya Tafti, Armand Joulin, Noah Fiedel, Evan Senter, Yutian Chen, Srivatsan Srinivasan, Guillaume Desjardins, David Budden, Arnaud Doucet, Sharad Vikram, Adam Paszke, Trevor Gale, Sebastian Borgeaud, Charlie Chen, Andy Brock, Antonia Paterson, Jenny Brennan, Meg Risdal, Raj Gundluru, Nesh Devanathan, Paul Mooney, Nilay Chauhan, Phil Culliton, Luiz GUStavo Martins, Elisa Bandy, David Huntsperger, Glenn Cameron, Arthur Zucker, Tris Warkentin, Ludovic Peran, Minh Giang, Zoubin Ghahramani, Clément Farabet, Koray Kavukcuoglu, Demis Hassabis, Raia Hadsell, Yee Whye Teh, Nando de Frietas:
RecurrentGemma: Moving Past Transformers for Efficient Open Language Models. CoRR abs/2404.07839 (2024) - Yen Sia Low, Michael L. Jackson, Rebecca J. Hyde, Robert E. Brown, Neil M. Sanghavi, Julian D. Baldwin, C. William Pike, Jananee Muralidharan, Gavin Hui, Natasha Alexander, Hadeel Hassan, Rahul V. Nene, Morgan Pike, Courtney J. Pokrzywa, Shivam Vedak, Adam Paul Yan, Dong-han Yao, Amy R. Zipursky, Christina Dinh, Philip Ballentine, Dan C. Derieg, Vladimir Polony, Rehan N. Chawdry, Jordan Davies, Brigham B. Hyde, Nigam H. Shah, Saurabh Gombar:
Answering real-world clinical questions using large language model based systems. CoRR abs/2407.00541 (2024) - 2023
- Andre Esteva, Jean Feng, Douwe van der Wal, Shih-Cheng Huang, Jeffry P. Simko, Sandy Devries, Emmalyn Chen, Edward M. Schaeffer, Todd M. Morgan, Yilun Sun, Amirata Ghorbani, Nikhil Naik, Dhruv Nathawani, Richard Socher, Jeff M. Michalski, Mack Roach, Thomas M. Pisansky, Jedidiah M. Monson, Farah Naz, James Wallace, Michelle J. Ferguson, Jean-Paul Bahary, James Zou, Matthew P. Lungren, Serena Yeung, Ashley E. Ross, Michael J. Kucharczyk, Luis Souhami, Leslie Ballas, Christopher A. Peters, Sandy Liu, Alexander G. Balogh, Pamela D. Randolph-Jackson, David L. Schwartz, Michael R. Girvigian, Naoyuki G. Saito, Adam Raben, Rachel A. Rabinovitch, Khalil Katato, Howard M. Sandler, Phuoc T. Tran, Daniel E. Spratt, Stephanie Pugh, Felix Y. Feng, Osama Mohamad:
Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. npj Digit. Medicine 6 (2023) - Christopher D. Elvidge, Mikhail N. Zhizhin, Tamara Sparks, Tilottama Ghosh, Stephen Pon, Morgan D. Bazilian, Paul C. Sutton, Steven D. Miller:
Global Satellite Monitoring of Exothermic Industrial Activity via Infrared Emissions. Remote. Sens. 15(19): 4760 (2023) - Romero F. A. B. de Morais, Vuong Le, Catherine Morgan, Alicia J. Spittle, Nadia Badawi, Jane Valentine, Elizabeth M. Hurrion, Paul A Dawson, Truyen Tran, Svetha Venkatesh:
Robust and Interpretable General Movement Assessment Using Fidgety Movement Detection. IEEE J. Biomed. Health Informatics 27(10): 5042-5053 (2023) - Pei Xu, Kaixiang Xie, Sheldon Andrews, Paul G. Kry, Michael Neff, Morgan McGuire, Ioannis Karamouzas, Victor B. Zordan:
AdaptNet: Policy Adaptation for Physics-Based Character Control. ACM Trans. Graph. 42(6): 177:1-177:17 (2023) - Honglu Sun, Jean-Paul Comet, Maxime Folschette, Morgan Magnin:
Condition for Sustained Oscillations in Repressilator Based on a Hybrid Modeling of Gene Regulatory Networks. BIOINFORMATICS 2023: 29-40 - Dingjie Su, Danika L. Paulo, Tyler Ball, Victoria L. Morgan, Dario J. Englot, Benoit M. Dawant:
Automatic, deep-learning-based segmentation of the amygdalohippocampectomy resection cavity in MR images. Medical Imaging: Image-Guided Procedures 2023 - Awan Afiaz, Andrey Ivanov, John Chamberlin, David Hanauer, Candace Savonen, Mary J. Goldman, Martin Morgan, Michael Reich, Alexander Getka, Aaron Holmes, Sarthak Pati, Dan Knight, Paul C. Boutros, Spyridon Bakas, J. Gregory Caporaso, Guilherme Del Fiol, Harry Hochheiser, Brian Haas, Patrick D. Schloss, James A. Eddy, Jake Albrecht, Andrey Fedorov, Levi Waldron, Ava M. Hoffman, Richard L. Bradshaw, Jeffrey T. Leek, Carrie Wright:
Evaluation of software impact designed for biomedical research: Are we measuring what's meaningful? CoRR abs/2306.03255 (2023) - Jordan Smith, Tom Naunton Morgan, Paul Williams, Qaiser Malik, Simon Rasalingham:
Real-World Performance of Autonomously Reporting Normal Chest Radiographs in NHS Trusts Using a Deep-Learning Algorithm on the GP Pathway. CoRR abs/2306.16115 (2023) - Pei Xu, Kaixiang Xie, Sheldon Andrews, Paul G. Kry, Michael Neff, Morgan McGuire, Ioannis Karamouzas, Victor B. Zordan:
AdaptNet: Policy Adaptation for Physics-Based Character Control. CoRR abs/2310.00239 (2023) - 2022
- Rathin Chandra Shit, Suraj Sharma, Paul A. Watters, Kumar Yelamarthi, Biswajeet Pradhan, Richard Davison, Graham Morgan, Deepak Puthal:
Privacy-preserving cooperative localization in vehicular edge computing infrastructure. Concurr. Comput. Pract. Exp. 34(14) (2022) - Soumyo Sen, Aleksandar Spasic, Anjana Sinha, Jialing Wang, Martin Bush, Jihong Li, Dragana Nesic, Yuchen Zhou, Gabriella Angiulli, Paul Morgan, Leslie Salas-Estrada, Junichi Takagi, Thomas Walz, Barry S. Coller, Marta Filizola:
Structure-Based Discovery of a Novel Class of Small-Molecule Pure Antagonists of Integrin αVβ3. J. Chem. Inf. Model. 62(22): 5607-5621 (2022) - Michael Schirner, Lia Domide, Dionysios Perdikis, Paul Triebkorn, Leon Stefanovski, Roopa Pai, Paula Prodan, Bogdan Valean, Jessica Palmer, Chloê Langford, André Blickensdörfer, Michiel van der Vlag, Sandra Diaz-Pier, Alexander Peyser, Wouter Klijn, Dirk Pleiter, Anne Nahm, Oliver Schmid, Michael Marmaduke Woodman, Lyuba Zehl, Jan Fousek, Spase Petkoski, Lionel Kusch, Meysam Hashemi, Daniele Marinazzo, Jean-François Mangin, Agnes Flöel, Simisola Akintoye, Bernd Carsten Stahl, Michael Cepic, Emily Johnson, Gustavo Deco, Anthony R. McIntosh, Claus C. Hilgetag, Marc Morgan, Bernd Schuller, Alex Upton, Colin McMurtrie, Timo Dickscheid, Jan G. Bjaalie, Katrin Amunts, Jochen Mersmann, Viktor K. Jirsa, Petra Ritter:
Brain simulation as a cloud service: The Virtual Brain on EBRAINS. NeuroImage 251: 118973 (2022) - Andre Esteva, Jean Feng, Douwe van der Wal, Shih-Cheng Huang, Jeffry P. Simko, Sandy Devries, Emmalyn Chen, Edward M. Schaeffer, Todd M. Morgan, Yilun Sun, Amirata Ghorbani, Nikhil Naik, Dhruv Nathawani, Richard Socher, Jeff M. Michalski, Mack Roach, Thomas M. Pisansky, Jedidiah M. Monson, Farah Naz, James Wallace, Michelle J. Ferguson, Jean-Paul Bahary, James Zou, Matthew P. Lungren, Serena Yeung, Ashley E. Ross, Michael J. Kucharczyk, Luis Souhami, Leslie Ballas, Christopher A. Peters, Sandy Liu, Alexander G. Balogh, Pamela D. Randolph-Jackson, David L. Schwartz, Michael R. Girvigian, Naoyuki G. Saito, Adam Raben, Rachel A. Rabinovitch, Khalil Katato, Howard M. Sandler, Phuoc T. Tran, Daniel E. Spratt, Stephanie Pugh, Felix Y. Feng, Osama Mohamad:
Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. npj Digit. Medicine 5 (2022) - Noah Goodson, Paul Wicks, Jayne Morgan, Leen Hashem, Sinéad Callinan, John Reites:
Opportunities and counterintuitive challenges for decentralized clinical trials to broaden participant inclusion. npj Digit. Medicine 5 (2022) - Guido España, T. Alex Perkins, Simon D. Pollett, Morgan E. Smith, Sean M. Moore, Paul O. Kwon, Tara L. Hall, Milford H. Beagle, Clinton K. Murray, Shilpa Hakre, Sheila A. Peel, Kayvon Modjarrad, Paul T. Scott:
Prioritizing interventions for preventing COVID-19 outbreaks in military basic training. PLoS Comput. Biol. 18(10): 1010489 (2022) - Christopher D. Elvidge, Mikhail N. Zhizhin, David M. Keith, Steven D. Miller, Feng-Chi Hsu, Tilottama Ghosh, Sharolyn Anderson, Christian K. Monrad, Morgan D. Bazilian, Jay Taneja, Paul C. Sutton, John C. Barentine, William S. Kowalik, Christopher C. M. Kyba, Dee W. Pack, Dorit Hammerling:
The VIIRS Day/Night Band: A Flicker Meter in Space? Remote. Sens. 14(6): 1316 (2022) - Golnar K. Mahani, Ruizhe Li, Nikolaos Evangelou, Stamatios Sotiropolous, Paul S. Morgan, Andrew P. French, Xin Chen:
Bounding Box Based Weakly Supervised Deep Convolutional Neural Network for Medical Image Segmentation Using an Uncertainty Guided and Spatially Constrained Loss. ISBI 2022: 1-5 - Vijay Gadepally, Gregory Angelides, Andrei Barbu, Andrew Bowne, Laura J. Brattain, Tamara Broderick, Armando Cabrera, Glenn Carl, Ronisha Carter, Miriam Cha, Emilie Cowen, Jesse Cummings, Bill Freeman, James R. Glass, Sam Goldberg, Mark Hamilton, Thomas Heldt, Kuan Wei Huang, Phillip Isola, Boris Katz, Jamie Koerner, Yen-Chen Lin, David Mayo, Kyle McAlpin, Taylor Perron, Jean E. Piou, Hrishikesh M. Rao, Hayley Reynolds, Kaira Samuel, Siddharth Samsi, Morgan Schmidt, Leslie Shing, Olga Simek, Brandon Swenson, Vivienne Sze, Jonathan Taylor, Paul Tylkin, Mark Veillette, Matthew L. Weiss, Allan B. Wollaber, Sophia Yuditskaya, Jeremy Kepner:
Developing a Series of AI Challenges for the United States Department of the Air Force. CoRR abs/2207.07033 (2022) - Gaëtan Dissez, Nicole Tay, Tom Dyer, Matthew Tam, Richard Dittrich, David Doyne, James Hoare, Jackson J. Pat, Stephanie Patterson, Amanda Stockham, Qaiser Malik, Tom Naunton Morgan, Paul Williams, Liliana Garcia-Mondragon, Jordan Smith, George Pearse, Simon Rasalingham:
Enhancing Early Lung Cancer Detection on Chest Radiographs with AI-assistance: A Multi-Reader Study. CoRR abs/2208.14742 (2022)
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