Matt Williams

According to our database, Matt Williams authored at least 11 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Federated Single Sign-On and Zero Trust Co-design for AI and HPC Digital Research Infrastructures.

Sadaf R. Alam, Christopher J. Woods, Matt Williams, Dave Moore, Isaac Prior, Ethan Williams, Fan Yang-Turner, Matt Pryor, Ilja Livenson

CoRR, 2024

Fairness Issues and Mitigations in (Differentially Private) Socio-demographic Data Processes.

Joonhyuk Ko, Juba Ziani, Saswat Das, Matt Williams, Ferdinando Fioretto

CoRR, 2024

A Hormetic Approach to the Value-Loading Problem: Preventing the Paperclip Apocalypse?

Nathan I. N. Henry, Mangor Pedersen, Matt Williams, Jamin L. B. Martin, Liesje Donkin

CoRR, 2024

Targeted Activation Penalties Help CNNs Ignore Spurious Signals.

Dekai Zhang, Matt Williams, Francesca Toni

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol.

Abigail C. Dommer, Lorenzo Casalino, Fiona L. Kearns, Mia A. 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

Int. J. High Perform. Comput. Appl., 2023

2021

A fully automated deep learning pipeline to assess muscle mass in brain tumor patients.

Radvile Mauricaite, Ella Mi, Jiarong Chen, Andrew Ho, Lillie Pakzad-Shahabi, Matt Williams

Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2019

Assessing K-Nearest Neighbours Algorithm for Simple, Interpretable Time-to-Event Survival Predictions Over a Range of Simulated Datasets.

Pavel Kroupa, Caroline Morton, Kerlann Le Calvez, Matt Williams

Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

2017

A Prognostic Model of Glioblastoma Multiforme Using Survival Bayesian Networks.

Simon Rabinowicz, Arjen Hommersom, Raphaela Butz, Matt Williams

Proceedings of the Artificial Intelligence in Medicine, 2017

2012

An RFID based autonomous indoor tour guide robot.

Kumar Yelamarthi, Stephen Sherbrook, Jonathan Beckwith, Matt Williams, Robert Lefief

Proceedings of the 55th IEEE International Midwest Symposium on Circuits and Systems, 2012

2011

Reflections on QuestVis: A Visualization System for an Environmental Sustainability Model.

Tamara Munzner, Aaron Barsky, Matt Williams

Proceedings of the Scientific Visualization: Interactions, Features, Metaphors, 2011

2004

Steerable, Progressive Multidimensional Scaling.

Matt Williams, Tamara Munzner

Proceedings of the 10th IEEE Symposium on Information Visualization (InfoVis 2004), 2004