Editorial Board
Model-agnostic and diverse explanations for streaming rumour graphs
Robust kernel-free support vector regression based on optimal margin distribution
Intelligent dual stream CNN and echo state network for anomaly detection
Spaks: Self-paced multiple kernel subspace clustering with feature smoothing regularization
ACDC: Online unsupervised cross-domain adaptation
Gaussian gravitation for cluster ensembles
Learning an enhanced consensus representation for multi-view clustering via latent representation correlation preserving
Federated one-class collaborative filtering via privacy-aware non-sampling matrix factorization
Tackling background ambiguities in multi-class few-shot point cloud semantic segmentation
ASK-RoBERTa: A pretraining model for aspect-based sentiment classification via sentiment knowledge mining
Discrete Fusion Adversarial Hashing for cross-modal retrieval
Scale adaption-guided human face detection
ConvUNeXt: An efficient convolution neural network for medical image segmentation
Improved deep clustering model based on semantic consistency for image clustering
Learning to predict diverse human motions from a single image via mixture density networks
Vision transformers for dense prediction: A survey
Graph-based cognitive diagnosis for intelligent tutoring systems
Signature based Merkle Hash Multiplication algorithm to secure the communication in IoT devices
Community hiding using a graph autoencoder
3LPR: A three-stage label propagation and reassignment framework for class-imbalanced semi-supervised learning
Multi-granularity visual explanations for CNN
ITL-IDS: Incremental Transfer Learning for Intrusion Detection Systems
Double-kernel based class-specific broad learning system for multiclass imbalance learning
Federated Markov Logic Network for indoor activity recognition in Internet of Things
Success history based adaptive multi-objective differential evolution variants with an interval scheme for solving simultaneous topology, shape and sizing truss reliability optimisation
Cost-effective CNNs-based prototypical networks for few-shot relation classification across domains
Self-adaptive weighted interaction feature selection based on robust fuzzy dominance rough sets for monotonic classification
Deep representation-based transfer learning for deep neural networks
Deep learning and machine learning-based voice analysis for the detection of COVID-19: A proposal and comparison of architectures
A novel interval-valued three-way decision theory under multiple criteria environment
Warm-starting constraint generation for mixed-integer optimization: A Machine Learning approach
An adaptive Drop method for deep neural networks regularization: Estimation of DropConnect hyperparameter using generalization gap
Robust discriminative projection with dynamic graph regularization for feature extraction and classification
A hybrid approach for high-dimensional optimization: Combining particle swarm optimization with mechanisms in neuro-endocrine-immune systems
MABUSE: A margin optimization based feature subset selection algorithm using boosting principles
Resource-constrained self-organized optimization for near-real-time offloading satellite earth observation big data
OGCNet: Overlapped group convolution for deep convolutional neural networks
Multi-granularity Association Learning for On-the-fly Fine-grained Sketch-based Image Retrieval
Echo spiking neural P systems
Digital twin and machine learning for decision support in thermal power plant with combustion engines
A linguistic belief-based evidential reasoning approach and its application in aiding lung cancer diagnosis
A Decomposition based Multi-Objective Heat Transfer Search algorithm for structure optimization
A FKPCA-GWO WDBiLSTM classifier for intrusion detection system in cloud environments
A robust approach to attribute reduction based on double fuzzy consistency measure
Double embedding and bidirectional sentiment dependence detector for aspect sentiment triplet extraction
Staged query graph generation based on answer type for question answering over knowledge base