Editorial Board
Discriminative globality and locality preserving graph embedding for dimensionality reduction
Intelligent traffic control for autonomous vehicle systems based on machine learning
DNNRec: A novel deep learning based hybrid recommender system
Drawing openness to experience from user generated contents: An interpretable data-driven topic modeling approach
Corrigendum to “A novel sparse representation model for pedestrian abnormal trajectory understanding” [Expert Systems with Applications, Volume 138, 30 December 2019, 112753]
Personalized itinerary recommendation: Deep and collaborative learning with textual information
A Music Classification model based on metric learning applied to MP3 audio files
Mathematically optimized, recursive prepartitioning strategies for k-anonymous microaggregation of large-scale datasets
An expert system gap analysis and empirical triangulation of individual differences, interventions, and information technology applications in alertness of railroad workers
Globally-biased BIRECT algorithm with local accelerators for expensive global optimization
The bi-objective periodic closed loop network design problem
BPDET: An effective software bug prediction model using deep representation and ensemble learning techniques
Leveraging deep graph-based text representation for sentiment polarity applications
A hybrid recommendation system for Q&A documents
A new methodology for multi-period portfolio selection based on the risk measure of lower partial moments
The solution of the concurrent layout scheduling problem in the job-shop environment through a local neighborhood search algorithm
Influential spreaders identification in complex networks with improved k-shell hybrid method
M3DNet: A manifold-based discriminant feature learning network for hyperspectral imagery
Characterizing Complexity and Self-Similarity Based on Fractal and Entropy Analyses for Stock Market Forecast Modelling
Unusual customer response identification and visualization based on text mining and anomaly detection
An explainable AI decision-support-system to automate loan underwriting
Geometric probabilistic evolutionary algorithm
Privacy-preserving in association rule mining using an improved discrete binary artificial bee colony
Advanced orthogonal learning-driven multi-swarm sine cosine optimization: Framework and case studies
Distributed version of hybrid swarm intelligence-Nelder Mead algorithm for DOA estimation in WSN
Incremental and dynamic graph construction with application to image classification
SCGSA: A sine chaotic gravitational search algorithm for continuous optimization problems
A batch informed sampling-based algorithm for fast anytime asymptotically-optimal motion planning in cluttered environments
Transform domain representation-driven convolutional neural networks for skin lesion segmentation
A new approach using fuzzy DEA models to reduce search space and eliminate replications in simulation optimization problems
