Editorial Board
Recent trends in multicue based visual tracking: A review
LsRec: Large-scale social recommendation with online update
Tens-embedding: A Tensor-based document embedding method
Biogeography-based optimization algorithm for large-scale multistage batch plant scheduling
Rotation invariant angle-density based features for an ice image classification system
Towards integrated dialogue policy learning for multiple domains and intents using Hierarchical Deep Reinforcement Learning
Locally robust EEG feature selection for individual-independent emotion recognition
Deep learning in citation recommendation models survey
Dynamic behavior based churn prediction in mobile telecom
Applying deep neural networks for multi-level classification of driver drowsiness using Vehicle-based measures
Deep adaptive feature enrichment
Modeling a shared hierarchical structure in data envelopment analysis: An application to bank branches
Local search metaheuristic for solving hybrid flow shop problem in slabs and beams manufacturing
STCCD: Semantic trajectory clustering based on community detection in networks
Data representations for audio-to-score monophonic music transcription
A framework for multi-objective optimization of virtual tree pruning based on growth simulation
A multi-product job shop scenario utilising Model Predictive Control
NSGA-II variants for solving a social-conscious dual resource-constrained scheduling problem
A systematic evaluation of filter Unsupervised Feature Selection methods
Generalized objects in the system with dispersed knowledge
Using VADER sentiment and SVM for predicting customer response sentiment
Bi-objective optimisation approaches to Job-shop problem with power requirements
A multi objective-BSC model for new product development project portfolio selection
A new investment method with AutoEncoder: Applications to crypto currencies
Value of fuzzy logic for data mining and machine learning: A case study
Efficiency analysis trees: A new methodology for estimating production frontiers through decision trees
Lessons learned from data stream classification applied to credit scoring
SDT: An integrated model for open-world knowledge graph reasoning
Fault Matters: Sensor data fusion for detection of faults using Dempster–Shafer theory of evidence in IoT-based applications
A drift aware adaptive method based on minimum uncertainty for anomaly detection in social networking
Efficient scheduling of a stochastic no-wait job shop with controllable processing times
Breast tumor segmentation in ultrasound images using contextual-information-aware deep adversarial learning framework
Clustering and classification of time series using topological data analysis with applications to finance
ETH analysis and predictions utilizing deep learning
Modeling and analysis of a stock-based collaborative filtering algorithm for the Chinese stock market
Evaluating large, high-technology project portfolios using a novel interval-valued Pythagorean fuzzy set framework: An automated crane project case study
Multi-view Convolutional Neural Network for lung nodule false positive reduction
Node Importance based Label Propagation Algorithm for overlapping community detection in networks
Design of an evolving Fuzzy-PID controller for optimal trajectory control of a 7-DOF redundant manipulator with prioritized sub-tasks
Clustering-based multiple instance learning with multi-view feature
Landscape-assisted multi-operator differential evolution for solving constrained optimization problems
M-AdaBoost-A based ensemble system for network intrusion detection
A hybrid fuzzy feature selection algorithm for high-dimensional regression problems: An mRMR-based framework
Research trends in text mining: Semantic network and main path analysis of selected journals
Predicting trust in online advertising with an SEM-artificial neural network approach
Personalizing the Top-k Spatial Keyword Preference Query with textual classifiers
Weighted kNN and constrained elastic distances for time-series classification
A multi-objective optimization approach for the group formation problem
Feedback-based metric learning for activity recognition
