Local community detection with hints
Generation and interpretation of parsimonious predictive models for load forecasting in smart heating networks
Local feature extraction network with high correspondences for 3d point cloud registration
Abstractive document summarization via multi-template decoding
COVID-CT-Mask-Net: prediction of COVID-19 from CT scans using regional features
Rescuing emergency cases of COVID-19 patients: An intelligent real-time MSC transfusion framework based on multicriteria decision-making methods
Enhancing cooperation by cognition differences and consistent representation in multi-agent reinforcement learning
A hierarchical conditional random field-based attention mechanism approach for gastric histopathology image classification
Semi-supervised nonnegative matrix factorization with positive and negative label propagations
A novel method to rank fuzzy numbers using the developed golden rule representative value
A tree-based stacking ensemble technique with feature selection for network intrusion detection
SiamET: a Siamese based visual tracking network with enhanced templates
Enhancing firefly algorithm with adaptive multi-group mechanism
Mention detection in coreference resolution: survey
NetNMSP: Nonoverlapping maximal sequential pattern mining
Offline reinforcement learning with anderson acceleration for robotic tasks
Location-based deep factorization machine model for service recommendation
Network representation learning based on community-aware and adaptive random walk for overlapping community detection
I2DKPCN: an unsupervised deep learning network
Generative model based robotic grasp pose prediction with limited dataset
Transformer-based two-source motion model for multi-object tracking
Forecasting the abnormal events at well drilling with machine learning
Finger vein image inpainting using neighbor binary-wasserstein generative adversarial networks (NB-WGAN)
Non-dominated differential context modeling for context-aware recommendations
A relation aware embedding mechanism for relation extraction
Improving recommender system via knowledge graph based exploring user preference
LCRCA: image super-resolution using lightweight concatenated residual channel attention networks
A fast algorithm for complex discord searches in time series: HOT SAX Time
Time Series Reconstruction and Classification: A Comprehensive Comparative Study
Global-local neighborhood based network representation for citation recommendation
An effective framework using identification and image reconstruction algorithm for train component defect detection
Interconnected backlash inverse compensation in neural decentralized control for switched nonlinear systems
GeSe: Generalized static embedding
Cooperative particle swarm optimizer with depth first search strategy for global optimization of multimodal functions
Improved similarity based prognostics method for turbine engine degradation with degradation consistency test
Bayesian Maximal Information Coefficient (BMIC) to reason novel trends in large datasets
Improving hypergraph convolution network collaborative filtering with feature crossing and contrastive learning
Video super-resolution network using detail component extraction and optical flow enhancement algorithm
URO-GAN: An untrustworthy region optimization approach for adipose tissue segmentation based on adversarial learning
A novel intelligent denoising method of ecg signals based on wavelet adaptive threshold and mathematical morphology
Deep spatio-temporal neural network based on interactive attention for traffic flow prediction
Cross attention fusion for knowledge graph optimized recommendation
Fault diagnosis of diesel engine information fusion based on adaptive dynamic weighted hybrid distance-taguchi method (ADWHD-T)
A disease network-based recommender system framework for predictive risk modelling of chronic diseases and their comorbidities
Parameter identification of robot manipulators with unknown payloads using an improved chaotic sparrow search algorithm
AFE-MERT: imbalanced text classification with abstract feature extraction
Semantic consistency generative adversarial network for cross-modality domain adaptation in ultrasound thyroid nodule classification
Truss optimization with natural frequency constraints using generalized normal distribution optimization
SIRA: Scale illumination rotation affine invariant mask R-CNN for pedestrian detection
Traffic density estimation via a multi-level feature fusion network
