1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2019
Explaining image classifiers by removing input features using generative models
Chirag Agarwal, Anh Nguyen
Perturbation-based explanation methods often measure the contribution of an input feature to an image classifier's outputs by heuristically removing it via e.g. blurring, adding no…
cs.MM2017★ 1 cited
Convolutional Neural Network Steganalysis's Application to Steganography
Mehdi Sharifzadeh, Chirag Agarwal, Mohammed Aloraini +1
This paper presents a novel approach to increase the performance bounds of image steganography under the criteria of minimizing distortion. The proposed approach utilizes a stegana…
cs.AI2009
Two-Dimensional ARMA Modeling for Breast Cancer Detection and Classification
Nidhal Bouaynaya, Jerzy Zielinski, Dan Schonfeld
We propose a new model-based computer-aided diagnosis (CAD) system for tumor detection and classification (cancerous v.s. benign) in breast images. Specifically, we show that (x-ra…