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Publication search results
found 97 matches
- 2024
- Nasim Partovi-Mehr, John DeFrancisci, Mohsen Minaeijavid, Babak Moaveni, Daniel Kuchma, Christopher D. P. Baxter, Eric M. Hines, Aaron S. Bradshaw:
Fatigue Analysis of a Jacket-Supported Offshore Wind Turbine at Block Island Wind Farm. Sensors 24(10): 3009 (2024) - Bryn C. Loftness, Julia Halvorson-Phelan, Aisling O'Leary, Carter Bradshaw, Shania Prytherch, Isabel Berman, John Torous, William E. Copeland, Nick Cheney, Ryan S. McGinnis, Ellen W. McGinnis:
The ChAMP App: A Scalable mHealth Technology for Detecting Digital Phenotypes of Early Childhood Mental Health. IEEE J. Biomed. Health Informatics 28(4): 2304-2313 (2024) - Joonyoung F. Joung, Mun Hong Fong, Jihye Roh, Zhengkai Tu, John Bradshaw, Connor W. Coley:
Beyond Major Product Prediction: Reproducing Reaction Mechanisms with Machine Learning Models Trained on a Large-Scale Mechanistic Dataset. CoRR abs/2403.04580 (2024) - Aisha Urooj Khan, John W. Garrett, Tyler J. Bradshaw, Lonie Salkowski, Jiwoong Jason Jeong, Amara Tariq, Imon Banerjee:
Knowledge-grounded Adaptation Strategy for Vision-language Models: Building Unique Case-set for Screening Mammograms for Residents Training. CoRR abs/2405.19675 (2024) - 2023
- Samuel Goldman, John Bradshaw, Jiayi Xin, Connor W. Coley:
Prefix-Tree Decoding for Predicting Mass Spectra from Molecules. NeurIPS 2023 - Samuel Goldman, John Bradshaw, Jiayi Xin, Connor W. Coley:
Prefix-tree Decoding for Predicting Mass Spectra from Molecules. CoRR abs/2303.06470 (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) - Xin Tie, Muheon Shin, Ali Pirasteh, Nevein Ibrahim, Zachary Huemann, Sharon M. Castellino, Kara M. Kelly, John W. Garrett, Junjie Hu, Steve Y. Cho, Tyler J. Bradshaw:
Automatic Personalized Impression Generation for PET Reports Using Large Language Models. CoRR abs/2309.10066 (2023) - 2022
- Natalie Maus, Haydn Jones, Juston Moore, Matt J. Kusner, John Bradshaw, Jacob R. Gardner:
Local Latent Space Bayesian Optimization over Structured Inputs. NeurIPS 2022 - Natalie Maus, Haydn T. Jones, Juston S. Moore, Matt J. Kusner, John Bradshaw, Jacob R. Gardner:
Local Latent Space Bayesian Optimization over Structured Inputs. CoRR abs/2201.11872 (2022) - Arman Rahmim, Tyler J. Bradshaw, Irène Buvat, Joyita Dutta, Abhinav K. Jha, Paul E. Kinahan, Quanzheng Li, Chi Liu, Melissa D. McCradden, Babak Saboury, Eliot L. Siegel, John J. Sunderland, Richard L. Wahl:
Issues and Challenges in Applications of Artificial Intelligence to Nuclear Medicine - The Bethesda Report (AI Summit 2022). CoRR abs/2211.03783 (2022) - 2021
- Matthew Johnson, Jeffrey M. Bradshaw:
How Interdependence Explains the World of Teamwork. Engineering Artificially Intelligent Systems 2021: 122-146 - 2020
- John Bradshaw, Brooks Paige, Matt J. Kusner, Marwin H. S. Segler, José Miguel Hernández-Lobato:
Barking up the right tree: an approach to search over molecule synthesis DAGs. NeurIPS 2020 - John Bradshaw, Brooks Paige, Matt J. Kusner, Marwin H. S. Segler, José Miguel Hernández-Lobato:
Barking up the right tree: an approach to search over molecule synthesis DAGs. CoRR abs/2012.11522 (2020) - 2019
- John Bradshaw, Matt J. Kusner, Brooks Paige, Marwin H. S. Segler, José Miguel Hernández-Lobato:
A Generative Model For Electron Paths. ICLR (Poster) 2019 - John Bradshaw, Matt J. Kusner, Brooks Paige, Marwin H. S. Segler, José Miguel Hernández-Lobato:
Generating Molecules via Chemical Reactions. DGS@ICLR 2019 - Yingzhen Li, John Bradshaw, Yash Sharma:
Are Generative Classifiers More Robust to Adversarial Attacks? ICML 2019: 3804-3814 - John Bradshaw, Brooks Paige, Matt J. Kusner, Marwin H. S. Segler, José Miguel Hernández-Lobato:
A Model to Search for Synthesizable Molecules. NeurIPS 2019: 7935-7947 - John Bradshaw, Brooks Paige, Matt J. Kusner, Marwin H. S. Segler, José Miguel Hernández-Lobato:
A Model to Search for Synthesizable Molecules. CoRR abs/1906.05221 (2019) - 2018
- John Bradshaw, Matt J. Kusner, Brooks Paige, Marwin H. S. Segler, José Miguel Hernández-Lobato:
Predicting Electron Paths. CoRR abs/1805.10970 (2018) - 2017
- David Wilt, Kyle Montgomery, Geoff Bradshaw, John Merrill:
Advanced space power technology. MWSCAS 2017: 950-953 - 2016
- Chris Johnson, Monica McGill, Durell Bouchard, Michael K. Bradshaw, Víctor A. Bucheli, Laurence D. Merkle, Michael James Scott, Elizabeth Sweedyk, Jesus Ángel Velázquez-Iturbide, Zhiping Xiao, Ming Zhang:
Game Development for Computer Science Education. ITiCSE-WGR 2016: 23-44 - 2015
- Larry Bunch, Jeffrey M. Bradshaw, Robert R. Hoffman, Matthew Johnson:
Principles for Human-Centered Interaction Design, Part 2: Can Humans and Machines Think Together? IEEE Intell. Syst. 30(3): 68-75 (2015) - Bradley Hayes, Matthew C. Gombolay, Malte F. Jung, Koen V. Hindriks, Joachim de Greeff, Catholijn M. Jonker, Mark A. Neerincx, Jeffrey M. Bradshaw, Matthew Johnson, Ivana Kruijff-Korbayová, Maarten Sierhuis, Julie A. Shah, Brian Scassellati:
HRI Workshop on Human-Robot Teaming. HRI (Extended Abstracts) 2015: 255-256 - 2014
- Robert R. Hoffman, John K. Hawley, Jeffrey M. Bradshaw:
Myths of Automation, Part 2: Some Very Human Consequences. IEEE Intell. Syst. 29(2): 82-85 (2014) - Matthew Johnson, Jeffrey M. Bradshaw, Robert R. Hoffman, Paul J. Feltovich, David D. Woods:
Seven Cardinal Virtues of Human-Machine Teamwork: Examples from the DARPA Robotic Challenge. IEEE Intell. Syst. 29(6): 74-80 (2014) - Matthew Johnson, Jeffrey M. Bradshaw, Paul J. Feltovich, Catholijn M. Jonker, M. Birna van Riemsdijk, Maarten Sierhuis:
Coactive design: designing support for interdependence in joint activity. J. Hum. Robot Interact. 3(1): 43-69 (2014) - John Birch, Roger Rivett, Ibrahim Habli, Ben Bradshaw, John Botham, Dave Higham, Helen Monkhouse, Robert Palin:
A Layered Model for Structuring Automotive Safety Arguments (Short Paper). EDCC 2014: 178-181 - 2013
- Jeffrey M. Bradshaw, Robert R. Hoffman, David D. Woods, Matthew Johnson:
The Seven Deadly Myths of "Autonomous Systems". IEEE Intell. Syst. 28(3): 54-61 (2013) - Robert R. Hoffman, Matthew Johnson, Jeffrey M. Bradshaw, Al Underbrink:
Trust in Automation. IEEE Intell. Syst. 28(1): 84-88 (2013)
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