| 序号 | 论文名称 | 类型 |
| 01 |
improving distant supervised relation extraction with noise detection strategy |
sci |
| 02 | rtjtn: relational triplet joint tagging network for joint entity and relation extraction | sci |
| 03 | prediction of lncrna-disease associations via an embedding learning hope in heterogeneous information networks | sci |
| 04 | dane-mda: predicting microrna-disease associations via deep attributed network embedding | sci |
| 05 | a deep learning method for repurposing antiviral drugs against new viruses via multi-view non-negative matrix factorization and its application to sars-cov-2 | sci |
| 06 | an efficient computational model for large-scale prediction of protein–protein interactions based on accurate and scalable graph embedding | sci |
| 07 | a novel method to predict drug-target interactions based on large-scale graph representation learning | sci |
| 08 | mgrl: predicting drug-disease associations based on multi-graph representation learning | sci |
| 09 | in silico drug repositioning using deep learning and comprehensive similarity measures | sci |
| 10 | sane: a sequence combined attentive network embedding model for covid-19 drug repositioning | sci |
| 11 | generative difference image for blind image quality assessment | ei收录 |
| 12 | detection of drug-drug interactions through knowledge graph integrating multi-attention with capsule network | ei收录 |
| 13 | protein-protein interaction prediction by integrating sequence information and heterogeneous network representation | ei收录 |
| 14 | a multi-graph deep learning model for predicting drug-disease associations | ei收录 |
| 15 | graph representation learning in bioinformatics: trends, methods and applications | sci |
| 16 | hybrid system combination framework for uyghur–chinese machine translation | ei收录 |
| 17 | pre-training on mixed data for low-resource neural machine translation | ei收录 |
| 18 | 一种改进的自适应知识图谱嵌入式表示方法 | 中文核心 |
| 19 | 基于预训练模型和图卷积网络的中文短文本实体链接 | 中文核心 |
| 20 | 基于时间注意力胶囊网络的维吾尔语情感分类模型 | 中文核心 |
| 序号 | 论文名称 | 类型 |
| 01 | 基于时空大数据的异常车辆检测 | cscd |
| 02 | variance error of multi-classification based anomaly detection for time series data | ei收录 |
| 03 | time-series classification based on fusion features of sequence and visualization | sci收录 |
| 04 | 基于lstm-gan的加油时序数据异常检测 | 中文核心 |
| 05 | constructing uyghur named entity recognition system using neural machine translation tag projection | ei |
| 06 | a joint back-translation and transfer learning method for low-resource neural machine translation | sci |
| 07 | 基于非自回归方法的维汉神经机器翻译 | 中文核心 |
| 08 | multi-source neural model for machine translation of agglutinative language | ei |
| 09 | a diverse data augmentation strategy for low-resource neural machine translation | ei |
| 10 | punctuation and parallel corpus based word embedding model for low-resource languages | ei |
| 11 | 面向维汉神经机器翻译的双向重排序模型分析 | ei |
| 12 | nempd: a network embedding-based method for predicting mirna-disease associations by preserving behavior and attribute information | sci收录 |
| 13 | predicting mirna-disease association from heterogeneous information network with grarep embedding model | sci收录 |
| 14 | prediction of drug-target interactions from multi-molecular network based on line network representation method | sci收录 |
| 15 | learning representations to predict intermolecular interactions on large-scale heterogeneous molecular association network | sci收录 |
| 16 | rpi-se: a stacking ensemble learning framework for ncrna-protein interactions prediction using sequence information | sci收录 |
| 17 | learning representation of molecules in association network for predicting intermolecular associations | sci收录 |
| 18 | learning distributed representations of rna and protein sequences and its application for predicting lncrna-protein interactions | sci收录 |
| 19 | prediction of drug–target interactions from multi-molecular network based on deep walk embedding model | sci收录 |
| 20 | integrative construction and analysis of molecular association network in human cells by fusing node attribute and behavior information | sci收录 |
| 序号 | 论文名称 | 类型 |
| 01 | constructing uyghur commonsense knowledge base by knowledge projection. | sci |
| 02 | hierarchical transfer learning architecture for low-resource neural machine translation | sci |
| 03 | spelling correction of non-word errors in uyghur–chinese machine translation | ei收录 |
| 04 | construction of the uyghur noun morphological re-inflection model based on hybrid strategy | sci |
| 05 | a novel deep learning method for obtaining bilingual corpus from multilingual website | sci |
| 06 | research of uyghur-chinese machine translation system combination based on semantic information | ei会议 |
| 07 | a bilingual discourse corpus and its applications | ei会议 |
| 08 | 面向维汉神经机器翻译的双向重排序模型分析 | ei收录 |
| 09 | 面向维汉机器翻译的层次化多特征融合模型 | 中文核心收录 会议 |
| 10 | 基于lda主题模型的维吾尔语无监督词义消歧 | 中文核心收录 会议 |
| 11 | 融合多种语言学特征的维吾尔语神经网络命名实体识别 | 中文核心收录 |
| 12 | a semisupervised tag-transition-based markovian model for uyghur morphology analysis | ei收录 |
| 13 | 基于融合时空数据的车辆加油行为多视图深度异常检测框架 | cscd收录 |
| 14 | a multi-view spatial-temporal network for vehicle refueling demand inference | ei收录 会议 |
| 15 | 基于双向lstm的seq2seq模型在加油站时序数据异常检测中的应用 | cscd收录 |
| 16 | 基于真值发现的加油站车辆号牌缺损数据填充方法 | cscd收录 |
| 17 | 基于多维时序日志的异常行为可视分析 | cscd收录 |
| 18 | a type-based blocking technique for efficient entity resolution over large-scale data | sci收录 |
| 19 | 面向维汉神经机器翻译的双向重排序模型分析 | ei收录 |
| 20 | spelling correction of non-word errors in uyghur–chinese machine translation | ei收录 |