Related references
Note: Only part of the references are listed.Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction
Ahmad Ali et al.
NEURAL NETWORKS (2022)
Scale-space multi-view bag of words for scene categorization
Davar Giveki
MULTIMEDIA TOOLS AND APPLICATIONS (2021)
A data aggregation based approach to exploit dynamic spatio-temporal correlations for citywide crowd flows prediction in fog computing
Ahmad Ali et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2021)
Attention-based BiLSTM fused CNN with gating mechanism model for Chinese long text classi fi cation
Jianfeng Deng et al.
COMPUTER SPEECH AND LANGUAGE (2021)
Software Defect Prediction Using Ensemble Learning: A Systematic Literature Review
Faseeha Matloob et al.
IEEE ACCESS (2021)
WNTC: An Efficient Weight News Text Classification Model
Pei Yan et al.
2021 ASIA-PACIFIC CONFERENCE ON COMMUNICATIONS TECHNOLOGY AND COMPUTER SCIENCE (ACCTCS 2021) (2021)
AUDIO ALBERT: A LITE BERT FOR SELF-SUPERVISED LEARNING OF AUDIO REPRESENTATION
Po-Han Chi et al.
2021 IEEE SPOKEN LANGUAGE TECHNOLOGY WORKSHOP (SLT) (2021)
An Enhanced Gated Recurrent Unit with Auto-Encoder for Solving Text Classification Problems
Muhammad Zulqarnain et al.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING (2021)
KA-Ensemble: towards imbalanced image classification ensembling under-sampling and over-sampling
Hao Ding et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2020)
Chinese text classification based on attention mechanism and feature-enhanced fusion neural network
Jinbao Xie et al.
COMPUTING (2020)
Incorporating context -relevant concepts into convolutional neural networks for short text classification
Jingyun Xu et al.
NEUROCOMPUTING (2020)
M-AdaBoost-A based ensemble system for network intrusion detection
Ying Zhou et al.
EXPERT SYSTEMS WITH APPLICATIONS (2020)
Boosting the performance of over-sampling algorithms through under-sampling the minority class
Romero F. A. B. de Morais et al.
NEUROCOMPUTING (2019)
Bidirectional LSTM with attention mechanism and convolutional layer for text classification
Gang Liu et al.
NEUROCOMPUTING (2019)
Improving text classification with weighted word embeddings via a multi-channel TextCNN model
Bao Guo et al.
NEUROCOMPUTING (2019)
HIERARCHICAL TRANSFORMERS FOR LONG DOCUMENT CLASSIFICATION
Raghavendra Pappagari et al.
2019 IEEE AUTOMATIC SPEECH RECOGNITION AND UNDERSTANDING WORKSHOP (ASRU 2019) (2019)
Leveraging Spatio-Temporal Patterns for Predicting Citywide Traffic Crowd Flows Using Deep Hybrid Neural Networks
Ahmad Ali et al.
2019 IEEE 25TH INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS (ICPADS) (2019)
Text Classification Research with Attention-based Recurrent Neural Networks
C. Du et al.
INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL (2018)
Evolutionary under-sampling based bagging ensemble method for imbalanced data classification
Bo Sun et al.
FRONTIERS OF COMPUTER SCIENCE (2018)
Stacked classifiers for individualized prediction of glycemic control following initiation of metformin therapy in type 2 diabetes
Dennis H. Murphree et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2018)
Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN
Hao Peng et al.
WEB CONFERENCE 2018: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW2018) (2018)
Deep Pyramid Convolutional Neural Networks for Text Categorization
Rie Johnson et al.
PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 1 (2017)
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches
Mikel Galar et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS (2012)
A weight-adjusted voting algorithm for ensembles of classifiers
Hyunjoong Kim et al.
JOURNAL OF THE KOREAN STATISTICAL SOCIETY (2011)
Addressing data complexity for imbalanced data sets: analysis of SMOTE-based oversampling and evolutionary undersampling
Julian Luengo et al.
SOFT COMPUTING (2011)
Evolutionary Undersampling for Classification with Imbalanced Datasets: Proposals and Taxonomy
Salvador Garcia et al.
EVOLUTIONARY COMPUTATION (2009)
Exploratory Undersampling for Class-Imbalance Learning
Xu-Ying Liu et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2009)