Editorial Board
EDS-MEMBED: Multi-sense embeddings based on enhanced distributional semantic structures via a graph walk over word senses
The ensemble of density-sensitive SVDD classifier based on maximum soft margin for imbalanced datasets
Network intrusion detection with a novel hierarchy of distances between embeddings of hash IP addresses
Temporal context-aware task recommendation in crowdsourcing systems
Task-adaptive Asymmetric Deep Cross-modal Hashing
Unsupervised soft-label feature selection
Conversion-based aggregation algorithms for linear ordinal rankings combined with granular computing
Development and application of Quantum Entanglement inspired Particle Swarm Optimization
Link prediction in multiplex networks using a novel multiple-attribute decision-making approach
Multiobjecitve structural optimization using improved heat transfer search
Flood risk assessment using deep learning integrated with multi-criteria decision analysis
Frame-based Neural Network for Machine Reading Comprehension
An effective multi-model fusion method for EEG-based sleep stage classification
DRLA: Dimensionality ranking in learning automata and its application on designing analog active filters
Evaluating user reputation of online rating systems by rating statistical patterns
Knowledge structure-based consensus-reaching method for large-scale multiattribute group decision-making
A novel method for the modeling of the state of health of lithium-ion cells using machine learning for practical applications
TripleRank: An unsupervised keyphrase extraction algorithm
Output space transfer based multi-input multi-output Takagi–Sugeno fuzzy modeling for estimation of molten iron quality in blast furnace
Hybrid artificial electric field algorithm for assembly line balancing problem with equipment model selection possibility
Metadata-based measurements transmission verified by a Merkle Tree
A novel multi population based particle swarm optimization for feature selection
Representation iterative fusion based on heterogeneous graph neural network for joint entity and relation extraction
An improved memetic approach for protein structure prediction incorporating maximal hydrophobic core estimation concept
Group theory-based optimization algorithm for solving knapsack problems
