Deep Trustworthy Knowledge Tracing 来自 Semantic Scholar 喜欢 0 阅读量: 222 作者:H Ha,U Hwang,Y Hong,Jang, Jahee,S Yoon 摘要: Knowledge tracing (KT), a key component of an intelligent tutoring system, is a machine learning technique that estimates the mastery level of a student based on ...
Hence, HQA services can provide more trustworthy, professional, and high-quality answers from reliable sources than traditional CQA services or search engines. In reality, the quality of answers in an HQA system is still not guaranteed. For example, some physicians may only post advertisements or ...
Deep learningconvolutional neural networkbrain tumor magnetic resonance imagingMachine learning based image analysis for predicting and diagnosing certain diseases has been entirely trustworthy and even as efficient as a domain expert's inspection. However, the style of non-transparency function-ing by a ...
We demonstrated the application of vEMDiffuse-a in neurite tracing on the downsampled MANC dataset51(8 nm × 8 nm × 48 nm resolution), using a Flood-Filling Network (FFN)52model (Supplementary Information). Indicated by high IoU scores, vEMDiffuse-a generated volume (Supplem...
guyazbell — There’s no solidarity and no real leadership, unless you think Donald “take the vaccine” Trump is still trustworthy. I wish he and his daughter, Princess Ivanka, would do a 23-skidoo out of our lives. Princess Ivanka is pushing the vaxx as well. The politican I trust ...
Here is a list of trustworthy sources of papers in case I ran out of papers to read. Github repos MMAction2 [268 stars] Kalman and Bayesian Fitlers [8.7k stars] ipynb book simple-faster-rcnn-pytorch (2.1k stars) [Notes] YOLACT/YOLACT++ [2.1k stars] Yolov3 ultralytic [4.7k stars]...
xECGArch: a trustworthy deep learning architecture for interpretable ECG analysis considering short-term and long-term features Article Open access 07 June 2024 A framework for comparative study of databases and computational methods for arrhythmia detection from single-lead ECG Article Open access ...
Deep learning algorithms can run on stable data provided by the blockchain, thereby result- ing in more trustworthy, accurate, and reliable decision- making [51]. • Automatic Decision Making: Blockchain is a well- known technology that processes transactions on a P2P basis. It makes it ...
We expect the framework to be updated to harmonize bulk expression data and scRNA-seq data as well as to transfer the trustworthy gene-drug relations from the bulk level to the single-cell level. The output of scDEAL is the predicted potential drug response of individual cells. One of the ...
There is an increasing interest in the use of Deep Learning (DL) based methods as a supporting analytical framework in oncology. However, most direct applications of DL will deliver models with limited transparency and explainability, which constrain the