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02/11/2023
Mutation-Based Adversarial Attacks on Neural Text Detectors
Neural text detectors aim to decide the characteristics that distinguish...
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12/21/2022
A Mutation-based Text Generation for Adversarial Machine Learning Applications
Many natural language related applications involve text generation, crea...
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10/18/2021
Dynamic Feature Alignment for Semi-supervised Domain Adaptation
Most research on domain adaptation has focused on the purely unsupervise...
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12/04/2020
Optical Wavelength Guided Self-Supervised Feature Learning For Galaxy Cluster Richness Estimate
Most galaxies in the nearby Universe are gravitationally bound to a clus...
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11/30/2020
Dynamic Image for 3D MRI Image Alzheimer's Disease Classification
We propose to apply a 2D CNN architecture to 3D MRI image Alzheimer's di...
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10/06/2020
Weakly-Supervised Feature Learning via Text and Image Matching
When training deep neural networks for medical image classification, obt...
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09/09/2020
Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification
Recent works have shown that deep neural networks can achieve super-huma...
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03/02/2020
Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization
Generalization is one of the key challenges in the clinical validation a...
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02/27/2020
Joint 2D-3D Breast Cancer Classification
Breast cancer is the malignant tumor that causes the highest number of c...
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02/27/2020
2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification
Automated methods for breast cancer detection have focused on 2D mammogr...
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02/27/2020