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Articles 1 - 3 of 3
Full-Text Articles in Business
General Adversarial Networks In Tumor-Related Research: A Review And Agenda For Moving Forward, Andrew James Behrens, Cherie Noteboom
General Adversarial Networks In Tumor-Related Research: A Review And Agenda For Moving Forward, Andrew James Behrens, Cherie Noteboom
SDSU Data Science Symposium
Recent advances in Generative Adversarial Networks (GANs) have led to many new variants and uses of GANs. The latest advancements have allowed researchers and practitioners to apply this technique to tumor-related problems with limited data. One of the trends in this problem domain is to develop different variants of GANs suited explicitly to particular problems. The variants of GANs are numerous but share a common characteristic of expanding the dataset by creating synthetic data from the original dataset. This paper aims to develop a research agenda through a systematic literature review that investigates practitioners' and researchers' emerging issues and current …
Deploying Live Dashboard Data Using Usda Data Apis To Inform Farmers/Producers, Indira Fuyal, Paurakh Paudel, David Zeng
Deploying Live Dashboard Data Using Usda Data Apis To Inform Farmers/Producers, Indira Fuyal, Paurakh Paudel, David Zeng
SDSU Data Science Symposium
The main objective of this project is to provide the farmers/producers and small business owners with a data intensive information hub to better understand the market trends and patterns in an interactive way to help make informed decisions. This technology is part of a larger project that includes AI powered data services to provide users with decision making support for real time data solutions. Together with Natural Language Generation, there is a huge potential to deploy this technology. In this small demo of this hugely beneficial technology, we make use of the publicly available Open Data Services – ESR Data …
Session 5: Equipment Finance Credit Risk Modeling - A Case Study In Creative Model Development & Nimble Data Engineering, Edward Krueger, Landon Thompson, Josh Moore
Session 5: Equipment Finance Credit Risk Modeling - A Case Study In Creative Model Development & Nimble Data Engineering, Edward Krueger, Landon Thompson, Josh Moore
SDSU Data Science Symposium
This presentation will focus first on providing an overview of Channel and the Risk Analytics team that performed this case study. Given that context, we’ll then dive into our approach for building the modeling development data set, techniques and tools used to develop and implement the model into a production environment, and some of the challenges faced upon launch. Then, the presentation will pivot to the data engineering pipeline. During this portion, we will explore the application process and what happens to the data we collect. This will include how we extract & store the data along with how it …