research
∙
07/26/2021
Adversarial Attacks with Time-Scale Representations
We propose a novel framework for real-time black-box universal attacks w...
share
research
∙
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 ...
research
∙
08/22/2020
Emergent symbolic language based deep medical image classification
Modern deep learning systems for medical image classification have demon...
research
∙
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 ...
research
∙
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 ...
research
∙
07/18/2020
ESCELL: Emergent Symbolic Cellular Language
We present ESCELL, a method for developing an emergent symbolic language...
research
∙
07/18/2020
Towards Emergent Language Symbolic Semantic Segmentation and Model Interpretability
Recent advances in methods focused on the grounding problem have resulte...
research
∙
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 ...
research
∙
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...
research
∙
02/21/2019
