David DeFazio
David DeFazio
Graduate Student, Binghamton University
Bestätigte E-Mail-Adresse bei binghamton.edu
Titel
Zitiert von
Zitiert von
Jahr
Deep Latent Generative Models for Energy Disaggregation
G Bejarano, D DeFazio, A Ramesh
Proceedings of the AAAI Conference on Artificial Intelligence 33, 850-857, 2019
42019
NYCER: A Non-Emergency Response Predictor for NYC using Sparse Gaussian Conditional Random Fields
D DeFazio, A Ramesh, A Seetharam
Proceedings of the 15th EAI International Conference on Mobile and …, 2018
42018
RelEx: A Model-Agnostic Relational Model Explainer
Y Zhang, D Defazio, A Ramesh
arXiv preprint arXiv:2006.00305, 2020
12020
SWIFT: A non-emergency response prediction system using sparse Gaussian Conditional Random Fields
R Raj, A Ramesh, A Seetharam, D DeFazio
Pervasive and Mobile Computing, 101317, 2020
2020
Adversarial Model Extraction on Graph Neural Networks
D DeFazio, A Ramesh
arXiv preprint arXiv:1912.07721, 2019
2019
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