Editorial Board
Online job scheduling for distributed machine learning in optical circuit switch networks
Sparse neighbor constrained co-clustering via category consistency learning
Evolving interval-based representation for multiple classifier fusion
Solving combinatorial optimization problems with single seekers society algorithm
Heterogeneous data release for cluster analysis with differential privacy
Evaluating a dendritic neuron model for wind speed forecasting
A similarity-based two-view multiple instance learning method for classification
Modeling relation paths for knowledge base completion via joint adversarial training
Memory-aware gated factorization machine for top-N recommendation
Uncovering overlapping community structure in static and dynamic networks
Robust orthogonal nonnegative matrix tri-factorization for data representation
Online random forests regression with memories
A novel meta-matching approach for ontology alignment using grasshopper optimization
Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey
Mining top-rank-k frequent weighted itemsets using WN-list structures and an early pruning strategy
Integrated production planning and scheduling under uncertainty: A fuzzy bi-level decision-making approach
Random multi-scale kernel-based Bayesian distribution regression learning
Automated intra-patient and inter-patient coronary artery disease and congestive heart failure detection using EFAP-Net
DAM: Transformer-based relation detection for Question Answering over Knowledge Base