Editorial Board
Detection of unexpected findings in radiology reports: A comparative study of machine learning approaches
Learning competitive channel-wise attention in residual network with masked regularization and signal boosting
Supporting better practice benchmarking: A DEA-ANN approach to bank branch performance assessment
Evaluation of customer behavior with temporal centrality metrics for churn prediction of prepaid contracts
A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients
Entity disambiguation with context awareness in user-generated short texts
Improving interpretability of word embeddings by generating definition and usage
A novel method based on symbolic regression for interpretable semantic similarity measurement
Automatic robust estimation for exponential smoothing: Perspectives from statistics and machine learning
An efficient approach for outlier detection from uncertain data streams based on maximal frequent patterns
Stock returns prediction using kernel adaptive filtering within a stock market interdependence approach
Extracting highlights of scientific articles: A supervised summarization approach
Non-intrusive load disaggregation based on composite deep long short-term memory network
Repair equipment allocation problem for a support-and-repair ship on a deep sea: A hybrid multi-criteria decision making and optimization approach
Forecasting with time series imaging
Ranking multiple-input and multiple-output units: A comparative study of data envelopment analysis and rank aggregation
A progressive hybrid set covering based algorithm for the traffic counting location problem
An ensemble imbalanced classification method based on model dynamic selection driven by data partition hybrid sampling
Identifying influential nodes in heterogeneous networks
Integrating systems thinking skills with multi-criteria decision-making technology to recruit employee candidates
Probabilistic optimization algorithms for real-coded problems and its application in Latin hypercube problem
Fair comparison of skin detection approaches on publicly available datasets
Incorporating part-whole hierarchies into fully convolutional network for scene parsing
Deep reinforcement learning based preventive maintenance policy for serial production lines
Attention-based deep neural network for Internet platform group users’ dynamic identification and recommendation
SVR-FFS: A novel forward feature selection approach for high-frequency time series forecasting using support vector regression
Improving neighbor-based collaborative filtering by using a hybrid similarity measurement
A time-series clustering methodology for knowledge extraction in energy consumption data
An ensemble discrete differential evolution for the distributed blocking flowshop scheduling with minimizing makespan criterion
A novel filter feature selection method using rough set for short text data
A revision on multi-criteria decision making methods for multi-UAV mission planning support
Investigating the potential for using gamification to empower knowledge workers
Stock index futures trading impact on spot price volatility. The CSI 300 studied with a TGARCH model
Simultaneous incremental matrix factorization for streaming recommender systems
Sound quality prediction and improving of vehicle interior noise based on deep convolutional neural networks
Neural-based time series forecasting of loss of coolant accidents in nuclear power plants
Cross-language text alignment: A proposed two-level matching scheme for plagiarism detection
Representation learning via serial robust autoencoder for domain adaptation
Optimization-based automated unsupervised classification method: A novel approach
Electric vehicle routing problem with non-linear charging and load-dependent discharging
An efficient memetic algorithm for distributed flexible job shop scheduling problem with transfers
Accuracy weighted diversity-based online boosting
A study on adaptation lightweight architecture based deep learning models for bearing fault diagnosis under varying working conditions
Backtracking search algorithm with competitive learning for identification of unknown parameters of photovoltaic systems
An intelligent stock trading decision support system based on rough cognitive reasoning
A cooperative coevolutionary optimization design of urban transit network and operating frequencies
Emerging technologies and industrial leadership. A Wikipedia-based strategic analysis of Industry 4.0
An improved general variable neighborhood search for a static bike-sharing rebalancing problem considering the depot inventory
Classifying Papanicolaou cervical smears through a cell merger approach by deep learning technique
