Evaluation of interpretability methods for multivariate time series forecasting
Diverse dialogue generation by fusing mutual persona-aware and self-transferrer
Research on multi-source POI data fusion based on ontology and clustering algorithms
Correction to: Research on multi-source POI data fusion based on ontology and clustering algorithms
Simplified multilayer graph convolutional networks with dropout
Incremental neighborhood entropy-based feature selection for mixed-type data under the variation of feature set
Research on the application of high-efficiency detectors into the detection of prohibited item in X-ray images
MIDNN- a classification approach for the EEG based motor imagery tasks using deep neural network
HOB-net: high-order block network via deep metric learning for person re-identification
Deep convolutional self-paced clustering
Dynamic FDB selection method and its application: modeling and optimizing of directional overcurrent relays coordination
An optimization approach with weighted SCiForest and weighted Hausdorff distance for noise data and redundant data
Tuning Database-Friendly Random Projection Matrices for Improved Distance Preservation on Specific Data
Evaluation of small and medium-sized enterprises’ sustainable development with hesitant fuzzy linguistic group decision-making method
Confidence interval for micro-averaged F1 and macro-averaged F1 scores
SiamPCF: siamese point regression with coarse-fine classification network for visual tracking
Event detection from text using path-aware graph convolutional network
Modelling risk and return awareness for p2p lending recommendation with graph convolutional networks
A novel deep pixel restoration video prediction algorithm integrating attention mechanism
Slither: finding local dense subgraphs measured by average degree
Civil airline fare prediction with a multi-attribute dual-stage attention mechanism
A novel filter feature selection algorithm based on relief
AFQN: approximate Qn estimation in data streams
ADD: a new average divergence difference-based outlier detection method with skewed distribution of data objects
Active-learning-based reconstruction of circuit model
CCF-LRU: hybrid storage cache replacement strategy based on counting cuckoo filter hot-probe method
Incremental learning with open set based discrimination enhancement
CIM: clique-based heuristic for finding influential nodes in multilayer networks
Attentive frequency learning network for super-resolution
Residual deep attention mechanism and adaptive reconstruction network for single image super-resolution
Joint extraction of entities and overlapping relations by improved graph convolutional networks
MMNet: A multi-scale deep learning network for the left ventricular segmentation of cardiac MRI images
MIVCN: Multimodal interaction video captioning network based on semantic association graph
Collaborative filtering algorithm with social information and dynamic time windows
Generating clusters of similar sizes by constrained balanced clustering
A one-shot next best view system for active object recognition
A novel POI recommendation model based on joint spatiotemporal effects and four-way interaction
Multi-grained and multi-layered gradient boosting decision tree for credit scoring
DBNLDA: Deep Belief Network based representation learning for lncRNA-disease association prediction
Pyramid-attention based multi-scale feature fusion network for multispectral pan-sharpening
Hybrid CNN-LSTM deep learning model and ensemble technique for automatic detection of myocardial infarction using big ECG data
Detection of human lower limb mechanical axis key points and its application on patella misalignment detection
Critical direction projection networks for few-shot learning
LabCor: Multi-label classification using a label correction strategy
Coverage hole detection in WSN with force-directed algorithm and transfer learning
Feature selection based on mutual information with correlation coefficient
An efficient method for mining multi-level high utility Itemsets
Masked face recognition with convolutional neural networks and local binary patterns
Mitigating sparsity using Bhattacharyya Coefficient and items’ categorical attributes: improving the performance of collaborative filtering based recommendation systems
K-centroid link: a novel hierarchical clustering linkage method
