Works (2)
Updated: July 5th, 2023 14:48
2020 article
Going deeper: Automatic short-answer grading by combining student and question models
Zhang, Y., Lin, C., & Chi, M. (2020, January 1). User Modeling and User-Adapted Interaction.
author keywords: Automatic short-answer grading; Machine learning; Deep belief network
topics (OpenAlex): Intelligent Tutoring Systems and Adaptive Learning; Topic Modeling; Multimodal Machine Learning Applications
TL;DR:
Overall, the results on a real-world corpus demonstrate that 1) leveraging student and question models to the conventional answer-based approach can greatly enhance the performance of ASAG, and 2) deep learning models such as DBN can be productively applied to the task of ASAGs.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(OpenAlex)
Source: Web Of Science
Added: March 30, 2020
2017 article
LSTM for septic shock: Adding unreliable labels to reliable predictions
Zhang, Y., Lin, C., Chi, M., Ivy, J., Capan, M., & Huddleston, J. M. (2017, December 1).
topics (OpenAlex): Machine Learning in Healthcare; Sepsis Diagnosis and Treatment; Hydrology and Drought Analysis
TL;DR:
A generic framework to predict septic shock based on Long-Short Term Memory (LSTM) model, which is capable of memorizing temporal dependencies over a long period, is proposed and the robustness of the method is validated using three sets of clinician-proposed adjusted ground-truth labels.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018