Search Results for author:
Found 11 papers, 4 papers with code
Ruleformer: Context-aware Rule Mining over Knowledge Graph
Based on this idea, we propose a transformer-based rule mining approach, Ruleformer.
UniRQR: A Unified Model for Retrieval Decision, Query, and Response Generation in Internet-Based Knowledge Dialogue Systems
However, many of studies assumed that all conversations require external knowledge to continue, neglecting the critical step of determining when retrieval is necessary.
Rethinking Data Perturbation and Model Stabilization for Semi-supervised Medical Image Segmentation
Studies on semi-supervised medical image segmentation (SSMIS) have seen fast progress recently.
Power System Recovery Coordinated with (Non-)Black-Start Generators
The proposed model is validated on several test systems, as well as a 1393-bus representation system of the Puerto Rican electric power grid.
Deep-Learning Tool for Early Identifying Non-Traumatic Intracranial Hemorrhage Etiology based on CT Scan
Conclusions: The proposed deep learning algorithms can be an effective tool for early identification of hemorrhage etiologies based on NCCT scans.
Deep Learning Approach to Predict Hemorrhage in Moyamoya Disease
Objective: Reliable tools to predict moyamoya disease (MMD) patients at risk for hemorrhage could have significant value.
Dynamically Retrieving Knowledge via Query Generation for Informative Dialogue Generation
To solve this problem, we design a knowledge-driven dialog system named DRKQG (Dynamically Retrieving Knowledge via Query Generation for informative dialog response).
Mixture of Virtual-Kernel Experts for Multi-Objective User Profile Modeling
This paper introduces a novel multi-task model called Mixture of Virtual-Kernel Experts (MVKE) to learn user preferences on various actions and topics unitedly.
A Combination Method for Android Malware Detection Based on Control Flow Graphs and Machine Learning Algorithms
In this paper, we present a combination method for Android malware detection based on the machine learning algorithm.
Optimizing Gross Merchandise Volume via DNN-MAB Dynamic Ranking Paradigm
With the transition from people's traditional `brick-and-mortar' shopping to online mobile shopping patterns in web 2. 0 $\mathit{era}$, the recommender system plays a critical role in E-Commerce and E-Retails.
Towards a Job Title Classification System
Document classification for text, images and other applicable entities has long been a focus of research in academia and also finds application in many industrial settings.
