Editorial Board
Knowing What to Say: Towards knowledge grounded code-mixed response generation for open-domain conversations
A structural hidden Markov model for forecasting scenario probabilities for portfolio loan loss provisions
Stock portfolio selection balancing variance and tail risk via stock vector representation acquired from price data and texts
Determination of reinforcement degrees in constructing large-scale structures by using multiclass support vector machines
Target-level sentiment analysis for news articles
MulSetRank: Multiple set ranking for personalized recommendation from implicit feedback
SFGN: Representing the sequence with one super frame for video person re-identification
An integrated generalized TODIM model for portfolio selection based on financial performance of firms
Deep U-Net architecture with curriculum learning for myocardial pathology segmentation in multi-sequence cardiac magnetic resonance images
TransLearn: A clustering based knowledge transfer strategy for improved time series forecasting
AAAN: Anomaly Alignment in Attributed Networks
EEG-based classification of normal and seizure types using relaxed local neighbour difference pattern and artificial neural network
Random walk-based algorithm for distance-aware influence maximization on multiple query locations
Touchless palmprint recognition based on 3D Gabor template and block feature refinement
EpNet: Power lines foreign object detection with Edge Proposal Network and data composition
Instance weighted SMOTE by indirectly exploring the data distribution
Fully used reliable data and attention consistency for semi-supervised learning
Fused information of DeepLabv3+ and transfer learning model for semantic segmentation and rich features selection using equilibrium optimizer (EO) for classification of NPDR lesions
Revisiting the GreCon algorithm for Boolean matrix factorization
Automatic question generation with various difficulty levels based on knowledge ontology using a query template
Deep multiple auto-encoder with attention mechanism network: A dynamic domain adaptation method for rotary machine fault diagnosis under different working conditions
A lexical psycholinguistic knowledge-guided graph neural network for interpretable personality detection
Temporal convolution-based sorting feature repeat-explore network combining with multi-band information for remaining useful life estimation of equipment
Learning reliable modal weight with transformer for robust RGBT tracking
An occupant-centered approach to improve both his comfort and the energy efficiency of the building
Integrating User-Group relationships under interest similarity constraints for social recommendation
All particles driving particle swarm optimization: Superior particles pulling plus inferior particles pushing
A new classifier for imbalanced data with iterative learning process and ensemble operating process
Missing value estimation using clustering and deep learning within multiple imputation framework
Memristive KDG-BNN: Memristive binary neural networks trained via knowledge distillation and generative adversarial networks
Bayesian Spatio-Temporal grAph tRansformer network (B-STAR) for multi-aircraft trajectory prediction
Adaptive multi-scale transductive information propagation for few-shot learning
Adaptive intelligent autonomous system using artificial somatic markers and Big Five personality traits
A survey for trust-aware recommender systems: A deep learning perspective
A Motion Deblurring Disentangled Representation Network
Multi-scale Multi-instance Multi-feature Joint Learning Broad Network (M3JLBN) for gastric intestinal metaplasia subtype classification
An ensemble contrastive classification framework for imbalanced learning with sample-neighbors pair construction
A deep variational Bayesian framework for blind image deblurring
An active one-shot learning approach to recognizing land usage from class-wise sparse satellite imagery in smart urban sensing
CUMTGAN: An instance-level controllable U-Net GAN for facial makeup transfer
Weakly-supervised contrastive learning-based implicit degradation modeling for blind image super-resolution
TFGAN: Traffic forecasting using generative adversarial network with multi-graph convolutional network
