Andrew Elliott

27 papers A* 1A 3Misc 1Journal 18Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	FraudTransformer: Time-Aware GPT for Transaction Fraud Detection. CoRR Gholamali Aminian, Andrew Elliott, Tiger Li, Timothy Cheuk Hin Wong, Victor Claude Dehon, Lukasz Szpruch, Carsten Maple, Christopher Read, Martin Brown, Gesine Reinert, Mo Mamouei
2025	—	`conf`	Individualised Counterfactual Examples Using Conformal Prediction Intervals. COPA James M. Adams, Gesine Reinert, Lukasz Szpruch, Carsten Maple, Andrew Elliott
2025	J	`jnl`	Individualised Counterfactual Examples Using Conformal Prediction Intervals. CoRR James M. Adams, Gesine Reinert, Lukasz Szpruch, Carsten Maple, Andrew Elliott
2024	A	`conf`	Beyond Face Matching: A Facial Traits based Privacy Score for Synthetic Face Datasets. BMVC Robero Leyva, Praveen Selvaraj, Andrew Elliott, Gregory Epiphaniou, Carsten Maple
2024	A	`conf`	Imposing Fairness Constraints in Synthetic Data Generation. AISTATS Mahed Abroshan, Andrew Elliott, Mohammad Mahdi Khalili
2024	J	`jnl`	L2G2G: a Scalable Local-to-Global Network Embedding with Graph Autoencoders. CoRR Ruikang Ouyang, Andrew Elliott, Stratis Limnios, Mihai Cucuringu, Gesine Reinert
2024	A	`conf`	SaGess: A Sampling Graph Denoising Diffusion Model for Scalable Graph Generation. ECAI Stratis Limnios, Praveen Selvaraj, Mihai Cucuringu, Carsten Maple, Gesine Reinert, Andrew Elliott
2023	J	`jnl`	Explaining holistic image regressors and classifiers in urban analytics with plausible counterfactuals. Int. J. Geogr. Inf. Sci. Stephen Law, Rikuo Hasegawa, Brooks Paige, Chris Russell, Andrew Elliott
2023	—	`conf`	L2G2G: A Scalable Local-to-Global Network Embedding with Graph Autoencoders. COMPLEX NETWORKS (1) Ruikang Ouyang, Andrew Elliott, Stratis Limnios, Mihai Cucuringu, Gesine Reinert
2023	J	`jnl`	SaGess: Sampling Graph Denoising Diffusion Model for Scalable Graph Generation. CoRR Stratis Limnios, Praveen Selvaraj, Mihai Cucuringu, Carsten Maple, Gesine Reinert, Andrew Elliott
2022	J	`jnl`	Agent swarms: cooperation and coordination under stringent communications constraint. CoRR Paul Kinsler, Sean Holman, Andrew Elliott, Cathryn N. Mitchell, R. Eddie Wilson
2022	—	`conf`	DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series. LoG Jase Clarkson, Mihai Cucuringu, Andrew Elliott, Gesine Reinert
2022	J	`jnl`	DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series. CoRR Jase Clarkson, Mihai Cucuringu, Andrew Elliott, Gesine Reinert
2022	J	`jnl`	TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data. CoRR Florimond Houssiau, James Jordon, Samuel N. Cohen, Owen Daniel, Andrew Elliott, James Geddes, Callum D. Mole, Camila Rangel Smith, Lukasz Szpruch
2021	A*	`conf`	Explaining Classifiers Using Adversarial Perturbations on the Perceptual Ball. CVPR Andrew Elliott, Stephen Law, Chris Russell
2021	J	`jnl`	Netlist Decompilation Workflow for Recovered Design Verification, Validation, and Assurance. IACR Cryptol. ePrint Arch. Katie Liszewski, Tim McDonley, Josh Delozier, Andrew Elliott, Dylan Jones, Matthew Sutter, Adam G. Kimura
2021	—	`conf`	Probabilistic segmentation of small metastatic brain tumors using liquid state machine ensemble. Computer-Aided Diagnosis Andrew Elliott, Cole Morgan, Carlo Torres, Caroline Chung
2020	J	`jnl`	A Decomposition Workflow for Integrated Circuit Verification and Validation. J. Hardw. Syst. Secur. Adam G. Kimura, Jon Scholl, James Schaffranek, Matthew Sutter, Andrew Elliott, Mike Strizich, Glen David Via
2020	J	`jnl`	Motif-Based Spectral Clustering of Weighted Directed Networks. CoRR William George Underwood, Andrew Elliott, Mihai Cucuringu
2020	J	`jnl`	Motif-based spectral clustering of weighted directed networks. Appl. Netw. Sci. William George Underwood, Andrew Elliott, Mihai Cucuringu
2019	J	`jnl`	Adversarial Perturbations on the Perceptual Ball. CoRR Andrew Elliott, Stephen Law, Chris Russell
2019	J	`jnl`	Anomaly Detection in Networks with Application to Financial Transaction Networks. CoRR Andrew Elliott, Mihai Cucuringu, Milton Martinez Luaces, Paul Reidy, Gesine Reinert
2019	J	`jnl`	Core-Periphery Structure in Directed Networks. CoRR Andrew Elliott, Angus Chiu, Marya Bazzi, Gesine Reinert, Mihai Cucuringu
2018	J	`jnl`	A nonparametric significance test for sampled networks. Bioinform. Andrew Elliott, Elizabeth Leicht, Alan Whitmore, Gesine Reinert, Felix Reed-Tsochas
2010	J	`jnl`	Adaptive Real-Time Bioheat Transfer Models for Computer-Driven MR-Guided Laser Induced Thermal Therapy. IEEE Trans. Biomed. Eng. David Fuentes, Yusheng Feng, Andrew Elliott, Anil Shetty, R. Jason McNichols, J. Tinsley Oden, R. Jason Stafford
2009	J	`jnl`	Nanoshell-mediated laser surgery simulation for prostate cancer treatment. Eng. Comput. Yusheng Feng, David Fuentes, Andrea Hawkins, Jon Bass, Marissa Nichole Rylander, Andrew Elliott, Anil Shetty, R. Jason Stafford, J. Tinsley Oden
2007	Misc	`conf`	Using Cyber-Infrastructure for Dynamic Data Driven Laser Treatment of Cancer. International Conference on Computational Science (1) 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