Editorial Board
A collaboration-based particle swarm optimizer with history-guided estimation for optimization in dynamic environments
A hybrid approach to building face shape classifier for hairstyle recommender system
A novel fuzzy curvature method for recognition of anterior forearm subcutaneous veins by thermal imaging
MCRMR: Maximum coverage and relevancy with minimal redundancy based multi-document summarization
FAST2: An intelligent assistant for finding relevant papers
An online support vector machine for the open-ended environment
The effect of supply chain noise on the financial performance of Kanban and Drum-Buffer-Rope: An agent-based perspective
Convolutional neural network improvement for breast cancer classification
Deep feature learning for soft tissue sarcoma classification in MR images via transfer learning
Hybrid deep learning and empirical mode decomposition model for time series applications
Efficient tumor detection in medical images using pixel intensity estimation based on nonparametric approach
Towards an accessible use of smartphone-based social networks through brain-computer interfaces
Developing a data analytics platform to support decision making in emergency and security management
Design and field implementation of an impact detection system using committees of neural networks
Lagged correlation-based deep learning for directional trend change prediction in financial time series
Feature selection based on feature interactions with application to text categorization
On the elicitation of criteria weights in PROMETHEE-based ranking methods for a mobile application
An Ant Colony System for energy-efficient dynamic Virtual Machine Placement in data centers
Adaptive fuzzy backstepping control for a class of uncertain nonlinear strict-feedback systems based on dynamic surface control approach
Modeling positive and negative feedback for improving document retrieval
Classification of colorectal cancer based on the association of multidimensional and multiresolution features
Using semi-independent variables to enhance optimization search
Coordinate CNNs and LSTMs to categorize scene images with multi-views and multi-levels of abstraction
Examining multi-category cross purchases models with increasing dataset scale – An artificial neural network approach
Central pixel selection strategy based on local gray-value distribution by using gradient information to enhance LBP for texture classification
Peer recommendation in dynamic attributed graphs
Linearized sigmoidal activation: A novel activation function with tractable non-linear characteristics to boost representation capability
Multi-objective grey wolf optimizer based on decomposition
A library for automatic natural language generation of spanish texts
Fuzzy c-means clustering based active contour model driven by edge scaled region information
Unsupervised learning approach to estimating user engagement with mobile applications: A case study of The Weather Company (IBM)
Segmentation and characterization of acoustic event spectrograms using singular value decomposition
Multi-output bus travel time prediction with convolutional LSTM neural network
Instantaneous vehicle fuel consumption estimation using smartphones and recurrent neural networks
Classification of scaled texture patterns with transfer learning
Multi-parametric optic disc segmentation using superpixel based feature classification
