Andrew Elliott

According to our database, Andrew Elliott authored at least 18 papers between 2007 and 2023.

Collaborative distances:

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

2023

Explaining holistic image regressors and classifiers in urban analytics with plausible counterfactuals.

Stephen Law, Rikuo Hasegawa, Brooks Paige, Chris Russell, Andrew Elliott

Int. J. Geogr. Inf. Sci., December, 2023

SaGess: Sampling Graph Denoising Diffusion Model for Scalable Graph Generation.

Stratis Limnios, Praveen Selvaraj, Mihai Cucuringu, Carsten Maple, Gesine Reinert, Andrew Elliott

CoRR, 2023

L2G2G: A Scalable Local-to-Global Network Embedding with Graph Autoencoders.

Ruikang Ouyang, Andrew Elliott, Stratis Limnios, Mihai Cucuringu, Gesine Reinert

Proceedings of the Complex Networks & Their Applications XII, 2023

2022

TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data.

Florimond Houssiau, James Jordon, Samuel N. Cohen, Owen Daniel, Andrew Elliott, James Geddes, Callum D. Mole, Camila Rangel Smith, Lukasz Szpruch

CoRR, 2022

Agent swarms: cooperation and coordination under stringent communications constraint.

Paul Kinsler, Sean Holman, Andrew Elliott, Cathryn N. Mitchell, R. Eddie Wilson

CoRR, 2022

DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series.

Jase Clarkson, Mihai Cucuringu, Andrew Elliott, Gesine Reinert

Proceedings of the Learning on Graphs Conference, 2022

2021

Netlist Decompilation Workflow for Recovered Design Verification, Validation, and Assurance.

Katie Liszewski, Tim McDonley, Josh Delozier, Andrew Elliott, Dylan Jones, Matthew Sutter, Adam G. Kimura

IACR Cryptol. ePrint Arch., 2021

Probabilistic segmentation of small metastatic brain tumors using liquid state machine ensemble.

Andrew Elliott, Cole Morgan, Carlo Torres, Caroline Chung

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Explaining Classifiers Using Adversarial Perturbations on the Perceptual Ball.

Andrew Elliott, Stephen Law, Chris Russell

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

A Decomposition Workflow for Integrated Circuit Verification and Validation.

Adam G. Kimura, Jon Scholl, James Schaffranek, Matthew Sutter, Andrew Elliott, Mike Strizich, Glen David Via

J. Hardw. Syst. Secur., 2020

Motif-based spectral clustering of weighted directed networks.

William George Underwood, Andrew Elliott, Mihai Cucuringu

Appl. Netw. Sci., 2020

2019

Adversarial Perturbations on the Perceptual Ball.

Andrew Elliott, Stephen Law, Chris Russell

CoRR, 2019

Core-Periphery Structure in Directed Networks.

Andrew Elliott, Angus Chiu, Marya Bazzi, Gesine Reinert, Mihai Cucuringu

CoRR, 2019

Anomaly Detection in Networks with Application to Financial Transaction Networks.

Andrew Elliott, Mihai Cucuringu, Milton Martinez Luaces, Paul Reidy, Gesine Reinert

CoRR, 2019

2018

A nonparametric significance test for sampled networks.

Andrew Elliott, Elizabeth Leicht, Alan Whitmore, Gesine Reinert, Felix Reed-Tsochas

Bioinform., 2018

2010

Adaptive Real-Time Bioheat Transfer Models for Computer-Driven MR-Guided Laser Induced Thermal Therapy.

David Fuentes, Yusheng Feng, Andrew Elliott, Anil Shetty, R. Jason McNichols, J. Tinsley Oden, R. Jason Stafford

IEEE Trans. Biomed. Eng., 2010

2009

Nanoshell-mediated laser surgery simulation for prostate cancer treatment.

Yusheng Feng, David Fuentes, Andrea Hawkins, Jon Bass, Marissa Nichole Rylander, Andrew Elliott, Anil Shetty, R. Jason Stafford, J. Tinsley Oden

Eng. Comput., 2009

2007

Using Cyber-Infrastructure for Dynamic Data Driven Laser Treatment of Cancer.

Chandrajit L. Bajaj, J. Tinsley Oden, Kenneth R. Diller, James C. Browne, John D. Hazle, Ivo Babuska, Jon Bass, L. Bidaut, Leszek F. Demkowicz, Andrew Elliott, Yusheng Feng, David Fuentes, Boseob Kwon, Serge Prudhomme, R. Jason Stafford, Yongjie Zhang

Proceedings of the Computational Science, 2007