Editorial Board
Query expansion based on term distribution and DBpedia features
Frog-GNN: Multi-perspective aggregation based graph neural network for few-shot text classification
Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images
Machine Learning Techniques to Identify Unsafe Driving Behavior by Means of In-Vehicle Sensor Data
Hierarchical distributed model predictive control based on fuzzy negotiation
A proposed customer relationship framework based on information retrieval for effective Firms’ competitiveness
Class label altering fuzzy min-max network and its application to histopathology image database
An approach to generate the bug report summaries using two-level feature extraction
A novel hybrid ensemble model based on tree-based method and deep learning method for default prediction
A framework for inventor collaboration recommendation system based on network approach
COVID-19: Automatic detection from X-ray images by utilizing deep learning methods
Adopting machine learning and condition monitoring P-F curves in determining and prioritizing high-value assets for life extension
Prediction of protein–protein interactions based on elastic net and deep forest
An efficient hybrid sine-cosine Harris hawks optimization for low and high-dimensional feature selection
A new technique for guided filter based image denoising using modified cuckoo search optimization
Hiding sensitive association rules using the optimal electromagnetic optimization method and a dynamic bit vector data structure
New formulations for the traveling repairman problem with time windows
Integrated technique of segmentation and classification methods with connected components analysis for road extraction from orthophoto images
MK-Means: Detecting evolutionary communities in dynamic networks
Multi class SVM algorithm with active learning for network traffic classification
Cooperative meta-heuristic algorithms for global optimization problems
Joint exploring of risky labeled and unlabeled samples for safe semi-supervised clustering
IWOSSA: An improved whale optimization salp swarm algorithm for solving optimization problems
An agent-based system for modeling users’ acquisition and retention in startup apps
RweetMiner: Automatic identification and categorization of help requests on twitter during disasters
Symbiotic organisms search algorithm using random walk and adaptive Cauchy mutation on the feature selection of sleep staging
Context-aware item attraction model for session-based recommendation
Meta-scalable discriminate analytics for Big hyperspectral data and applications
A likelihood-based preference ranking organization method using dual point operators for multiple criteria decision analysis in Pythagorean fuzzy uncertain contexts
Automatic ocular version evaluation in images using random forest
Change detection in textual classification with unexpected dynamics
Multi-criteria recommender system based on social relationships and criteria preferences
SAEA: A security-aware and energy-aware task scheduling strategy by Parallel Squirrel Search Algorithm in cloud environment
A cloud theory-based multi-objective portfolio selection model with variable risk appetite
Adaptive trading system integrating machine learning and back-testing: Korean bond market case
Stacked authorship attribution of digital texts
Towards graph-based class-imbalance learning for hospital readmission
PAROT: Translating natural language to SPARQL
Non-destructive internal disorder detection of Conference pears by semantic segmentation of X-ray CT scans using deep learning
The capacitated minimum spanning tree problem with arc time windows
Big data analytics for default prediction using graph theory
Large-scale analysis of grooming in modern social networks
A dynamic term discovery strategy for automatic speech recognizers with evolving dictionaries
Distributed aggregation-based attributed graph summarization for summary-based approximate attributed graph queries
NSGA-II with objective-specific variation operators for multiobjective vehicle routing problem with time windows
A Camera to LiDAR calibration approach through the optimization of atomic transformations
On using the modularity of recurrence network communities to detect change-point behaviour
Optimizing electric vehicle routing problems with mixed backhauls and recharging strategies in multi-dimensional representation network
A novel evolutionary algorithm based on even difference grey model
Quantum circuit representation of Bayesian networks
Identifying mortality factors from Machine Learning using Shapley values – a case of COVID19
A deep reinforcement learning-based method applied for solving multi-agent defense and attack problems
Geographic Named Entity Recognition and Disambiguation in Mexican News using word embeddings
A case study of batch and incremental recommender systems in supermarket data under concept drifts and cold start
A conservative approach for online credit scoring
A multibiometric system based on the fusion of fingerprint, finger-vein, and finger-knuckle-print
Input data selection for daily traffic flow forecasting through contextual mining and intra-day pattern recognition
A novel deep auto-encoder considering energy and label constraints for categorization
Silas: A high-performance machine learning foundation for logical reasoning and verification
Measuring dynamic inefficiency in the presence of corporate social responsibility and input indivisibilities
Dynamic network embedding via structural attention
Multi-criteria decision making with interval type 2 fuzzy Bonferroni mean
Named entity recognition for extracting concept in ontology building on Indonesian language using end-to-end bidirectional long short term memory
