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20192021
most citedImage-driven discriminative and generative machine learning algorithms for establishing microstructure-processing relationships

50 citations · 77 across the 10 of their papers we have counts for

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6 papers · 1 filter

cs.CV2021

Adversarial Attacks with Time-Scale Representations

Alberto Santamaria-Pang, Jianwei Qiu, Aritra Chowdhury +4

We propose a novel framework for real-time black-box universal attacks which disrupts activations of early convolutional layers in deep learning models. Our hypothesis is that pert…

cs.CV2020★ 3 cited

Symbolic Semantic Segmentation and Interpretation of COVID-19 Lung Infections in Chest CT volumes based on Emergent Languages

Aritra Chowdhury, Alberto Santamaria-Pang, James R. Kubricht +2

The coronavirus disease (COVID-19) has resulted in a pandemic crippling the a breadth of services critical to daily life. Segmentation of lung infections in computerized tomography…

cs.CV2020

Emergent symbolic language based deep medical image classification

Aritra Chowdhury, Alberto Santamaria-Pang, James R. Kubricht +1

Modern deep learning systems for medical image classification have demonstrated exceptional capabilities for distinguishing between image based medical categories. However, they ar…

cs.CV2019★ 2 cited

FastEstimator: A Deep Learning Library for Fast Prototyping and Productization

Xiaomeng Dong, Junpyo Hong, Hsi-Ming Chang +10

As the complexity of state-of-the-art deep learning models increases by the month, implementation, interpretation, and traceability become ever-more-burdensome challenges for AI pr…

cs.CV2019★ 2 cited

Quantifying error contributions of computational steps, algorithms and hyperparameter choices in image classification pipelines

Aritra Chowdhury, Malik Magdin-Ismail, Bulent Yener

Data science relies on pipelines that are organized in the form of interdependent computational steps. Each step consists of various candidate algorithms that maybe used for perfor…

cs.CV2019★ 4 cited

Quantifying contribution and propagation of error from computational steps, algorithms and hyperparameter choices in image classification pipelines

Aritra Chowdhury, Malik Magdon-Ismail, Bulent Yener

Data science relies on pipelines that are organized in the form of interdependent computational steps. Each step consists of various candidate algorithms that maybe used for perfor…