Editorial Board
Gene selection and classification of microarray data method based on mutual information and moth flame algorithm.
A two-layer feature selection method using Genetic Algorithm and Elastic Net
AnomalP: An approach for detecting anomalous protein conformations using deep autoencoders
Decision modeling and analysis in new product development considering supply chain uncertainties: A multi-functional expert based approach
Joint representation learning for multi-view subspace clustering
An improved grey wolf optimizer for solving engineering problems
Forecasting wavelet neural hybrid network with financial ensemble empirical mode decomposition and MCID evaluation
CSFCM: An improved fuzzy C-Means image segmentation algorithm using a cooperative approach
The adaptive algorithm of a four way intersection regulated by traffic lights with four phases within a cycle
A time series-based statistical approach for outbreak spread forecasting: Application of COVID-19 in Greece
NOHAR - NOvelty discrete data stream for Human Activity Recognition based on smartphones with inertial sensors
SemSeq4FD: Integrating global semantic relationship and local sequential order to enhance text representation for fake news detection
A hybrid model for finding abbreviation–definition pairs from biomedical abstracts using heuristics-based sequence labeling and perceptron linear classifier
An efficient multivariate feature ranking method for gene selection in high-dimensional microarray data
Eye tracking algorithms, techniques, tools, and applications with an emphasis on machine learning and Internet of Things technologies
Multi-view ensemble learning method for microblog sentiment classification
Catering for unique tastes: Targeting grey-sheep users recommender systems through one-class machine learning
Machine learning and data mining in manufacturing
An adjustable fuzzy chance-constrained network DEA approach with application to ranking investment firms
Code smell detection and identification in imbalanced environments
Learning user interest with improved triplet deep ranking and web-image priors for topic-related video summarization
A hybrid metaheuristic algorithm for location inventory routing problem with time windows and fuel consumption
Optimal selection of heterogeneous ensemble strategies of time series forecasting with multi-objective programming
Red fox optimization algorithm
An entropy empowered hybridized aggregation technique for group recommender systems
Improved salient object detection using hybrid Convolution Recurrent Neural Network
Fractal Neural Network: A new ensemble of fractal geometry and convolutional neural networks for the classification of histology images
Ensemble of convolutional neural networks trained with different activation functions
Third-party reverse logistics provider selection: A computational semantic analysis-based multi-perspective multi-attribute decision-making approach
Critical components of data analytics in organizations: A research model
Comparing pre-trained language models for Spanish hate speech detection
A new item similarity based on α-divergence for collaborative filtering in sparse data
Numerical simulation of the novel coronavirus spreading
Cosine similarity based anomaly detection methodology for the CAN bus
Enhanced fuzzy time series forecasting model based on hesitant differential fuzzy sets and error learning
An enhanced fitness function to recognize unbalanced human emotions data
Corrigendum to “Clustering and classification of time series using topological data analysis with applications to finance” [Expert Syst. Appl. 162 (2020) 113868]
