Search Results for author: William Hsu

Found 20 papers, 5 papers with code

Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects

no code implementations4 Nov 2023 Elisa Warner, Joonsang Lee, William Hsu, Tanveer Syeda-Mahmood, Charles Kahn, Olivier Gevaert, Arvind Rao

Machine learning (ML) applications in medical artificial intelligence (AI) systems have shifted from traditional and statistical methods to increasing application of deep learning models.

Data Integration Translation

Self-Supervised Approach to Addressing Zero-Shot Learning Problem

1 code implementation5 Jan 2022 Ademola Okerinde, Sam Hoggatt, Divya Vani Lakkireddy, Nolan Brubaker, William Hsu, Lior Shamir, Brian Spiesman

In recent years, self-supervised learning has had significant success in applications involving computer vision and natural language processing.

Self-Supervised Learning Zero-Shot Learning

Feature Selection for Learning to Predict Outcomes of Compute Cluster Jobs with Application to Decision Support

no code implementations14 Dec 2020 Adedolapo Okanlawon, Huichen Yang, Avishek Bose, William Hsu, Dan Andresen, Mohammed Tanash

We present a supervised learning model trained on a Simple Linux Utility for Resource Management (Slurm) data set of HPC jobs using three different techniques for selecting features: linear regression, lasso, and ridge regression.

feature selection Management +1

Shape-aware Generative Adversarial Networks for Attribute Transfer

no code implementations11 Oct 2020 Lei Luo, William Hsu, Shangxian Wang

Generative adversarial networks (GANs) have been successfully applied to transfer visual attributes in many domains, including that of human face images.

Attribute Image-to-Image Translation +2

Using a Generative Adversarial Network for CT Normalization and its Impact on Radiomic Features

no code implementations22 Jan 2020 Leihao Wei, Yannan Lin, William Hsu

We obtained projection data from 40 low-dose chest CT scans, simulating acquisitions at 10%, 25% and 50% dose and reconstructing the scans at 1. 0mm and 2. 0mm slice thickness.

Generative Adversarial Network SSIM

Discovering and interpreting transcriptomic drivers of imaging traits using neural networks

1 code implementation11 Dec 2019 Nova F. Smedley, Suzie El-Saden, William Hsu

To interpret the models, we propose gene masking and gene saliency to extract learned relationships from radiogenomic neural networks.

Quantitative Methods

Adversarial Exploitation of Policy Imitation

no code implementations3 Jun 2019 Vahid Behzadan, William Hsu

This paper investigates a class of attacks targeting the confidentiality aspect of security in Deep Reinforcement Learning (DRL) policies.

Imitation Learning Model extraction +2

RL-Based Method for Benchmarking the Adversarial Resilience and Robustness of Deep Reinforcement Learning Policies

no code implementations3 Jun 2019 Vahid Behzadan, William Hsu

This paper investigates the resilience and robustness of Deep Reinforcement Learning (DRL) policies to adversarial perturbations in the state space.

Benchmarking Disentanglement +2

Sequential Triggers for Watermarking of Deep Reinforcement Learning Policies

no code implementations3 Jun 2019 Vahid Behzadan, William Hsu

This scheme provides a mechanism for the integration of a unique identifier within the policy in the form of its response to a designated sequence of state transitions, while incurring minimal impact on the nominal performance of the policy.

reinforcement-learning Reinforcement Learning (RL)

Analysis and Improvement of Adversarial Training in DQN Agents With Adversarially-Guided Exploration (AGE)

no code implementations3 Jun 2019 Vahid Behzadan, William Hsu

This paper investigates the effectiveness of adversarial training in enhancing the robustness of Deep Q-Network (DQN) policies to state-space perturbations.

OpBerg: Discovering causal sentences using optimal alignments

no code implementations3 Apr 2019 Justin Wood, Nicholas J. Matiasz, Alcino J. Silva, William Hsu, Alexej Abyzov, Wei Wang

Current methods for extracting causal sentences are based on either machine learning or a predefined database of causal terms.

BIG-bench Machine Learning

Computed Tomography Image Enhancement using 3D Convolutional Neural Network

no code implementations18 Jul 2018 Meng Li, Shiwen Shen, Wen Gao, William Hsu, Jason Cong

Computed tomography (CT) is increasingly being used for cancer screening, such as early detection of lung cancer.

Computed Tomography (CT) Image Enhancement +1

Machine Learning for Predictive Analytics of Compute Cluster Jobs

no code implementations20 May 2018 Dan Andresen, William Hsu, Huichen Yang, Adedolapo Okanlawon

We address the problem of predicting whether sufficient memory and CPU resources have been requested for jobs at submission time.

BIG-bench Machine Learning General Classification

ConfidentCare: A Clinical Decision Support System for Personalized Breast Cancer Screening

no code implementations1 Feb 2016 Ahmed M. Alaa, Kyeong H. Moon, William Hsu, Mihaela van der Schaar

A cluster of patients is a set of patients with similar features (e. g. age, breast density, family history, etc.

Visualization of Clandestine Labs from Seizure Reports: Thematic Mapping and Data Mining Research Directions

no code implementations5 Mar 2015 William Hsu, Mohammed Abduljabbar, Ryuichi Osuga, Max Lu, Wesam Elshamy

The problem of spatiotemporal event visualization based on reports entails subtasks ranging from named entity recognition to relationship extraction and mapping of events.

Dynamic Topic Modeling Event Extraction +6

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