Related references
Note: Only part of the references are listed.Perception consistency ultrasound image super-resolution via self-supervised CycleGAN
Heng Liu et al.
NEURAL COMPUTING & APPLICATIONS (2023)
Feedback Convolutional Network for Intelligent Data Fusion Based on Near-Infrared Collaborative IoT Technology
Ken Cai et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2022)
Hierarchical Representation Learning in Graph Neural Networks With Node Decimation Pooling
Filippo Maria Bianchi et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2022)
Representative Task Self-Selection for Flexible Clustered Lifelong Learning
Gan Sun et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2022)
Item Relationship Graph Neural Networks for E-Commerce
Weiwen Liu et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2022)
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2021)
Modelling of Destinations for Data-driven Pedestrian Trajectory Prediction in Public Buildings
Andrew Kwok-Fai Lui et al.
2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) (2021)
GMNet: Graded-Feature Multilabel-Learning Network for RGB-Thermal Urban Scene Semantic Segmentation
Wujie Zhou et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2021)
Efficiently Translating Complex SQL Query to MapReduce Jobflow on Cloud
Zhiang Wu et al.
IEEE TRANSACTIONS ON CLOUD COMPUTING (2020)
On Scalability of Association-rule-based Recommendation
Zhiang Wu et al.
ACM Transactions on the Web (2020)
Multi-Branch Deep Residual Learning for Clustering and Beamforming in User-Centric Network
Yuan He et al.
IEEE COMMUNICATIONS LETTERS (2020)
Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach
Hamed Jelodar et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2020)
Recurrent Graph Neural Networks for Text Classification
Xinde Wei et al.
PROCEEDINGS OF 2020 IEEE 11TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND SERVICE SCIENCE (ICSESS 2020) (2020)
An Integration Model Based on Graph Convolutional Network for Text Classification
Hengliang Tang et al.
IEEE ACCESS (2020)
Social Media News Classification in Healthcare Communication
Fiaz Majeed et al.
JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS (2019)
Semi-Supervised Learning and Graph Neural Networks for Fake News Detection
Adrien Benamira et al.
PROCEEDINGS OF THE 2019 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM 2019) (2019)
Simple Co-Occurrence Statistics Reproducibly Predict Association Ratings
Markus J. Hofmann et al.
COGNITIVE SCIENCE (2018)
News Text Classification Based on Improved Bi-LSTM-CNN
Chenbin Li et al.
2018 NINTH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY IN MEDICINE AND EDUCATION (ITME 2018) (2018)
Improving sentiment analysis via sentence type classification using BiLSTM-CRF and CNN
Tao Chen et al.
EXPERT SYSTEMS WITH APPLICATIONS (2017)
Co-occurrence statistics as a language-dependent cue for speech segmentation
Amanda Saksida et al.
DEVELOPMENTAL SCIENCE (2017)
ImageNet Classification with Deep Convolutional Neural Networks
Alex Krizhevsky et al.
COMMUNICATIONS OF THE ACM (2017)
Semantic Text Classification for Supporting Automated Compliance Checking in Construction
Dareen M. Salama et al.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2016)
Automated Information Transformation for Automated Regulatory Compliance Checking in Construction
Jiansong Zhang et al.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2015)
Share Paper
