Editorial Board
Discovering generalized design knowledge using a multi-objective evolutionary algorithm with generalization operators
Multiple writer retrieval systems based on language independent dissimilarity learning
Simultaneous feature selection and heterogeneity control for SVM classification: An application to mental workload assessment
A feature transfer enabled multi-task deep learning model on medical imaging
Lexicon-Grammar based open information extraction from natural language sentences in Italian
Portfolio management via two-stage deep learning with a joint cost
Distracting users as per their knowledge: Combining linked open data and word embeddings to enhance history learning
An efficient pattern growth approach for mining fault tolerant frequent itemsets
Detecting malware evolution using support vector machines
Portfolio formation with preselection using deep learning from long-term financial data
Video on demand recommender system for internet protocol television service based on explicit information fusion
Merged Tree-CAT: A fast method for building precise computerized adaptive tests based on decision trees
Reward-driven U-Net training for obstacle avoidance drone
A hybrid localization model using node segmentation and improved particle swarm optimization with obstacle-awareness for wireless sensor networks
Acoustic scene classification using deep CNN with fine-resolution feature
SOINN+, a Self-Organizing Incremental Neural Network for Unsupervised Learning from Noisy Data Streams
Customized and knowledge-centric service design model integrating case-based reasoning and TRIZ
Text document summarization using word embedding
A neural network for semantic labelling of structured information
Real-time purchase behavior recognition system based on deep learning-based object detection and tracking for an unmanned product cabinet
A Lagrangean based solution algorithm for the knapsack problem with setups
Top-K interesting preference rules mining based on MaxClique
Deep 1D-Convnet for accurate Parkinson disease detection and severity prediction from gait
Real-time biomechanical modeling of the liver using Machine Learning models trained on Finite Element Method simulations
An efficient stripped cover-based accelerator for reduction of attributes in incomplete decision tables
Efficient approach for incremental weighted erasable pattern mining with list structure
DSTP-RNN: A dual-stage two-phase attention-based recurrent neural network for long-term and multivariate time series prediction
Improving performances of Top-N recommendations with co-clustering method
Keystroke dynamics obfuscation using key grouping
Oblique Decision Tree Ensemble via Twin Bounded SVM
A comprehensive survey on the biometric recognition systems based on physiological and behavioral modalities