Editorial Board
A factorization scheme for observability analysis in transportation networks
An evolutionary approach to implement logic circuits on three dimensional FPGAs
Joint aspect terms extraction and aspect categories detection via multi-task learning
A new hybrid ensemble model with voting-based outlier detection and balanced sampling for credit scoring
Stacking hybrid GARCH models for forecasting Bitcoin volatility
Towards missing electric power data imputation for energy management systems
Solving arithmetic word problems by scoring equations with recursive neural networks
Graph convolutional neural networks with node transition probability-based message passing and DropNode regularization
Stamantic clustering: Combining statistical and semantic features for clustering of large text datasets
Use of a domain-specific ontology to support automated document categorization at the concept level: Method development and evaluation
Algorithm selection for solving educational timetabling problems
An end-to-end approach and tool for BPMN process discovery
Occlusion-robust method for RGB-D 6-DOF object tracking with particle swarm optimization
Reliability-driven Automotive Software Deployment based on a Parametrizable Probabilistic Model Checking
Feature Selection for Classification using Principal Component Analysis and Information Gain
P300 event-related potential detection using one-dimensional convolutional capsule networks
Chameleon Swarm Algorithm: A bio-inspired optimizer for solving engineering design problems
Parameterized fuzzy-logic controllers for the attitude control of nanosatellites in low earth orbits. A comparative studio with PID controllers
Expert-novice classification of mobile game player using smartphone inertial sensors
Learning to recommend via random walk with profile of loan and lender in P2P lending
Harnessing heterogeneous social networks for better recommendations: A grey relational analysis approach
Learning style detection in E-learning systems using machine learning techniques
Opposition-based Laplacian Equilibrium Optimizer with application in Image Segmentation using Multilevel Thresholding
Overlapping coalition formation in game theory: A state-of-the-art review
Modeling the received signal strength intensity of Wi-Fi signal using Hidden Markov Models
Attention-aware metapath-based network embedding for HIN based recommendation
Signal adaptive cooperative control of two adjacent traffic intersections using a two-stage algorithm
Hybrid slime mould algorithm with adaptive guided differential evolution algorithm for combinatorial and global optimization problems
PODCD: Probabilistic overlapping dynamic community detection
Latent factor recommendation models for integrating explicit and implicit preferences in a multi-step decision-making process
A color fusion model based on Markowitz portfolio optimization for optic disc segmentation in retinal images
On the propagation of quality requirements for mechanical assemblies in industrial manufacturing
Node classification using kernel propagation in graph neural networks
Detecting anomalies in X-ray diffraction images using convolutional neural networks
Novel automatic group identification approaches for group recommendation
A model for building probabilistic knowledge-based systems using divergence distances
NEclatClosed: A vertical algorithm for mining frequent closed itemsets
Conditional Wasserstein GAN-based oversampling of tabular data for imbalanced learning
Fully automatic electrocardiogram classification system based on generative adversarial network with auxiliary classifier
RSigELU: A nonlinear activation function for deep neural networks
APFA: Automated product feature alignment for duplicate detection
Towards a self-sufficient face verification system
Detecting abusive Instagram comments in Turkish using convolutional Neural network and machine learning methods
SqSelect: Automatic assessment of Failed Error Propagation in state-based systems
A network-based sparse and multi-manifold regularized multiple non-negative matrix factorization for multi-view clustering
On deep neural network for trust aware cross domain recommendations in E-commerce
An improved multi-objective whale optimization algorithm for the hybrid flow shop scheduling problem considering device dynamic reconfiguration processes
Fast automatic step size selection for zeroth-order nonconvex stochastic optimization
Detection of counterfeit coins based on 3D height-map image analysis
An efficient multilevel thresholding based satellite image segmentation approach using a new adaptive cuckoo search algorithm
A Machine Learning-based DSS for mid and long-term company crisis prediction
Optimized HRNet for image semantic segmentation
A novel hybrid deep learning approach including combination of 1D power signals and 2D signal images for power quality disturbance classification
