28 citations · 45 across the 6 of their papers we have counts for
6 papers
Detecting individual-level infections using sparse group-testing through graph-coupled hidden Markov models
Zahra Gholamalian, Zeinab Maleki, MasoudReza Hashemi +1
Identifying the infection status of each individual during infectious diseases informs public health management. However, performing frequent individual-level tests may not be feas…
Scalable Whitebox Attacks on Tree-based Models
Giuseppe Castiglione, Gavin Ding, Masoud Hashemi +2
Adversarial robustness is one of the essential safety criteria for guaranteeing the reliability of machine learning models. While various adversarial robustness testing approaches…
PUMA: Performance Unchanged Model Augmentation for Training Data Removal
Ga Wu, Masoud Hashemi, Christopher Srinivasa
Preserving the performance of a trained model while removing unique characteristics of marked training data points is challenging. Recent research usually suggests retraining a mod…
Machine Learning for Yield Curve Feature Extraction: Application to Illiquid Corporate Bonds
Greg Kirczenow, Masoud Hashemi, Ali Fathi +1
This paper studies an application of machine learning in extracting features from the historical market implied corporate bond yields. We consider an example of a hypothetical illi…
Adaptive Bayesian Denoising for General Gaussian Distributed (GGD) Signals in Wavelet Domain
Masoud Hashemi, Soosan Beheshti
Optimum Bayes estimator for General Gaussian Distributed (GGD) data in wavelet is provided. The GGD distribution describes a wide class of signals including natural images. A wavel…
Noise Invalidation Denoising
Soosan Beheshti, Masoud Hashemi, Xiao-Ping Zhang +1
A denoising technique based on noise invalidation is proposed. The adaptive approach derives a noise signature from the noise order statistics and utilizes the signature to denoise…