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Matt Williams
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2020 – today
- 2024
- [c6]Dekai Zhang, Matt Williams, Francesca Toni:
Targeted Activation Penalties Help CNNs Ignore Spurious Signals. AAAI 2024: 16705-16713 - [i2]Nathan I. N. Henry, Mangor Pedersen, Matt Williams, Jamin L. B. Martin, Liesje Donkin:
A Hormetic Approach to the Value-Loading Problem: Preventing the Paperclip Apocalypse? CoRR abs/2402.07462 (2024) - [i1]Joonhyuk Ko, Juba Ziani, Saswat Das, Matt Williams, Ferdinando Fioretto:
Fairness Issues and Mitigations in (Differentially Private) Socio-demographic Data Processes. CoRR abs/2408.08471 (2024) - 2023
- [j1]Abigail C. Dommer, Lorenzo Casalino, Fiona L. Kearns, Mia Rosenfeld, Nicholas Wauer, Surl-Hee Ahn, John Russo, A. Sofia F. Oliveira, Clare Morris, Anthony T. Bogetti, Anda Trifan, Alexander Brace, Terra Sztain, Austin Clyde, Heng Ma, S. Chakra Chennubhotla, Hyungro Lee, Matteo Turilli, Syma Khalid, Teresa Tamayo-Mendoza, Matthew Welborn, Anders S. Christensen, Daniel G. A. Smith, Zhuoran Qiao, Sai K. Sirumalla, Michael O'Connor, Frederick R. Manby, Anima Anandkumar, David J. Hardy, James C. Phillips, Abraham C. Stern, Josh Romero, David Clark, Mitchell Dorrell, Tom Maiden, Lei Huang, John D. McCalpin, Christopher J. Woods, Alan Gray, Matt Williams, Bryan Barker, Harinda Rajapaksha, Richard Pitts, Tom Gibbs, John E. Stone, Daniel M. Zuckerman, Adrian J. Mulholland, Thomas F. Miller III, Shantenu Jha, Arvind Ramanathan, Lillian T. Chong, Rommie E. Amaro:
#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol. Int. J. High Perform. Comput. Appl. 37(1): 28-44 (2023) - 2021
- [c5]Radvile Mauricaite, Ella Mi, Jiarong Chen, Andrew Ho, Lillie Pakzad-Shahabi, Matt Williams:
A fully automated deep learning pipeline to assess muscle mass in brain tumor patients. CBMS 2021: 107-112
2010 – 2019
- 2019
- [c4]Pavel Kroupa, Caroline Morton, Kerlann Le Calvez, Matt Williams:
Assessing K-Nearest Neighbours Algorithm for Simple, Interpretable Time-to-Event Survival Predictions Over a Range of Simulated Datasets. CBMS 2019: 367-372 - 2017
- [c3]Simon Rabinowicz, Arjen Hommersom, Raphaela Butz, Matt Williams:
A Prognostic Model of Glioblastoma Multiforme Using Survival Bayesian Networks. AIME 2017: 81-85 - 2012
- [c2]Kumar Yelamarthi, Stephen Sherbrook, Jonathan Beckwith, Matt Williams, Robert Lefief:
An RFID based autonomous indoor tour guide robot. MWSCAS 2012: 562-565 - 2011
- [p1]Tamara Munzner, Aaron Barsky, Matt Williams:
Reflections on QuestVis: A Visualization System for an Environmental Sustainability Model. Scientific Visualization: Interactions, Features, Metaphors 2011: 240-259
2000 – 2009
- 2004
- [c1]Matt Williams, Tamara Munzner:
Steerable, Progressive Multidimensional Scaling. INFOVIS 2004: 57-64
Coauthor Index
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