Editorial Board
Money laundering and terrorism financing detection using neural networks and an abnormality indicator
A review of deep learning methods for semantic segmentation of remote sensing imagery
CNN-based driving maneuver classification using multi-sliding window fusion
A fractal interpolation approach to improve neural network predictions for difficult time series data
An effective multi-start iterated greedy algorithm to minimize makespan for the distributed permutation flowshop scheduling problem with preventive maintenance
Online bus-pooling service at the railway station for passengers and parcels sharing buses: A case in Dalian
DGTL-Net: A Deep Generative Transfer Learning Network for Fault Diagnostics on New Hard Disks
Dual-path attention network for single image super-resolution
Atrial fibrillation detection using heart rate variability and atrial activity: A hybrid approach
Linguistic feature based learning model for fake news detection and classification
Separation linearization approach for the capacitated facility location problem under disruption
Time series classification based on multi-feature dictionary representation and ensemble learning
DEBOHID: A differential evolution based oversampling approach for highly imbalanced datasets
Matrix factorization based Bayesian network embedding for efficient probabilistic inferences
On oversampling imbalanced data with deep conditional generative models
Measuring inferred gaze direction to support analysis of people in a meeting
Feature concatenation for adversarial domain adaptation
A reinforcement learning-based algorithm for the aircraft maintenance routing problem
Predicting tweet impact using a novel evidential reasoning prediction method
A dynamic algorithm based on cohesive entropy for influence maximization in social networks
Batch recommendation of experts to questions in community-based question-answering with a sailfish optimizer
A reinforcement learning based multi-method approach for stochastic resource constrained project scheduling problems
Ordered fuzzy WASPAS method for selection of improvement projects
Depth-based classification of directional data
CSGAN: Cyclic-Synthesized Generative Adversarial Networks for image-to-image transformation
Efficient algorithms for discovering high-utility patterns with strong frequency affinities
Highlighting keyphrases using senti-scoring and fuzzy entropy for unsupervised sentiment analysis
Detection of DDoS attacks with feed forward based deep neural network model
Super-app behavioral patterns in credit risk models: Financial, statistical and regulatory implications
CGenProg: Adaptation of cartesian genetic programming with migration and opposite guesses for automatic repair of software regression faults
Criteria determination of analytic hierarchy process using a topic model
A hybrid approach to cardinality constraint portfolio selection problem based on nonlinear neural network and genetic algorithm
Neural network forecasting of news feeds
Identification of rice plant diseases using lightweight attention networks
A small-sample faulty line detection method based on generative adversarial networks
Theoretical and empirical analysis of filter ranking methods: Experimental study on benchmark DNA microarray data
Multi-Objective Passing Vehicle Search algorithm for structure optimization
Multi-hour and multi-site air quality index forecasting in Beijing using CNN, LSTM, CNN-LSTM, and spatiotemporal clustering
TCD2: Tree-based community detection in dynamic social networks
A two-phase iterative machine learning method in identifying mechanical biomarkers of peripheral neuropathy
Customized frequent patterns mining algorithms for enhanced Top-Rank-K frequent pattern mining
Optimal sepsis patient treatment using human-in-the-loop artificial intelligence
An efficient differential-evolution-based moving compensation optimization approach for controlling differential column shortening in tall buildings
Selective spatiotemporal features learning for dynamic gesture recognition
The impact of term-weighting schemes and similarity measures on extractive multi-document text summarization
SuperDeConFuse: A supervised deep convolutional transform based fusion framework for financial trading systems
Minority manifold regularization by stacked auto-encoder for imbalanced learning
Analysis of concept drift in fake reviews detection
A semantic approach for document classification using deep neural networks and multimedia knowledge graph
Collaborative community-specific microblog sentiment analysis via multi-task learning
Spectral embedded generalized mean based k-nearest neighbors clustering with S-distance
Entropy-like Divergence Based Kernel Fuzzy Clustering for Robust Image Segmentation
A novel intuitionistic fuzzy soft set entrenched mammogram segmentation under Multigranulation approximation for breast cancer detection in early stages
Stock price prediction using deep learning and frequency decomposition
A proactive decision support system for reviewer recommendation in academia
On the step size selection in variance-reduced algorithm for nonconvex optimization
DTI based Alzheimer’s disease classification with rank modulated fusion of CNNs and random forest
Exploiting discourse structure of traditional digital media to enhance automatic fake news detection
Deception in the eyes of deceiver: A computer vision and machine learning based automated deception detection
Dynamic Boundary Time Warping for sub-sequence matching with few examples
Earned benefit maximization in social networks under budget constraint
Outer product enhanced heterogeneous information network embedding for recommendation
Understanding panic buying during COVID-19: A text analytics approach
Application of mutation operators to salp swarm algorithm
