Search Results for author:
Found 10 papers, 2 papers with code
State Space Model for New-Generation Network Alternative to Transformers: A Survey
In this paper, we give the first comprehensive review of these works and also provide experimental comparisons and analysis to better demonstrate the features and advantages of SSM.
Developing Federated Time-to-Event Scores Using Heterogeneous Real-World Survival Data
We applied our approach to sites with heterogeneous survival data originating from emergency departments in Singapore and the United States.
Survival modeling using deep learning, machine learning and statistical methods: A comparative analysis for predicting mortality after hospital admission
The calibration of DeepSurv (IBS: 0. 041) performed the best, followed by RSF (IBS: 0. 042) and GBM (IBS: 0. 0421), all using the full variables.
ACPO: AI-Enabled Compiler-Driven Program Optimization
The key to performance optimization of a program is to decide correctly when a certain transformation should be applied by a compiler.
Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees
In this paper, we propose a randomly projected convex clustering model for clustering a collection of $n$ high dimensional data points in $\mathbb{R}^d$ with $K$ hidden clusters.
MixModule: Mixed CNN Kernel Module for Medical Image Segmentation
Convolutional neural networks (CNNs) have been successfully applied to medical image classification, segmentation, and related tasks.
GetNet: Get Target Area for Image Pairing
Image pairing is an important research task in the field of computer vision.
A novel Bayesian estimation-based word embedding model for sentiment analysis
The word embedding models have achieved state-of-the-art results in a variety of natural language processing tasks.
Cross-Platform Modeling of Users' Behavior on Social Media
Structured and unstructured data of same users shared by NetEase Music and Sina Weibo have been collected for cross-platform analysis of correlations between music preference and other users' characteristics.
Automatic Conditional Generation of Personalized Social Media Short Texts
Automatic text generation has received much attention owing to rapid development of deep neural networks.
