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07/26/2021
Adversarial Attacks with Time-Scale Representations
We propose a novel framework for real-time black-box universal attacks w...
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08/22/2020
Symbolic Semantic Segmentation and Interpretation of COVID-19 Lung Infections in Chest CT volumes based on Emergent Languages
The coronavirus disease (COVID-19) has resulted in a pandemic crippling ...
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08/22/2020
Emergent symbolic language based deep medical image classification
Modern deep learning systems for medical image classification have demon...
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07/27/2020
Image-driven discriminative and generative machine learning algorithms for establishing microstructure-processing relationships
We investigate methods of microstructure representation for the purpose ...
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07/18/2020
Automated Phenotyping via Cell Auto Training (CAT) on the Cell DIVE Platform
We present a method for automatic cell classification in tissue samples ...
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07/18/2020
ESCELL: Emergent Symbolic Cellular Language
We present ESCELL, a method for developing an emergent symbolic language...
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07/18/2020
Towards Emergent Language Symbolic Semantic Segmentation and Model Interpretability
Recent advances in methods focused on the grounding problem have resulte...
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10/07/2019
FastEstimator: A Deep Learning Library for Fast Prototyping and Productization
As the complexity of state-of-the-art deep learning models increases by ...
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02/25/2019
Quantifying error contributions of computational steps, algorithms and hyperparameter choices in image classification pipelines
Data science relies on pipelines that are organized in the form of inter...
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02/21/2019