Editorial Board
Diversity in news recommendations using contextual bandits
A persona aware persuasive dialogue policy for dynamic and co-operative goal setting
Multi-objective Semi-supervised clustering for finding predictive clusters
A novel genetic algorithm based system for the scheduling of medical treatments
A framework to predict early news popularity using deep temporal propagation patterns
Using an ontology for systematic practice adoption in agile methods: Expert system and practitioners-based validation
A two-stage evolutionary algorithm based on three indicators for constrained multi-objective optimization
Graph-based joint pandemic concern and relation extraction on Twitter
Sequential inter-hop graph convolution neural network (SIhGCN) for skeleton-based human action recognition
Prioritizing and queueing the emergency departments’ patients using a novel data-driven decision-making methodology, a real case study
INFO: An efficient optimization algorithm based on weighted mean of vectors
Bridge-Net: Context-involved U-net with patch-based loss weight mapping for retinal blood vessel segmentation
Efficient and visualizable convolutional neural networks for COVID-19 classification using Chest CT
Learning financial asset-specific trading rules via deep reinforcement learning
New replay attack detection using iterative adaptive inverse filtering and high frequency band
QuantumLeap: Hybrid quantum neural network for financial predictions
Supplier selection in sustainable supply chains: Using the integrated BWM, fuzzy Shannon entropy, and fuzzy MULTIMOORA methods
Entity knowledge transfer-oriented dual-target cross-domain recommendations
Temporal reasoning and query answering with preferences and probabilities for medical decision support
Social interdependencies as facilitators of cooperative learning in new product development: The moderating effect of technological novelty
Robust GMM least square twin K-class support vector machine for urban water pipe leak recognition
EWMA-PRIM: Process optimization based on time-series process operational data using the exponentially weighted moving average and patient rule induction method
A multi-agent approach to the truck multi-drone routing problem
Strategic decisions in an imperfect quality and inspection scenario under two-stage credit financing with order overlapping approach
Natural language based analysis of SQuAD: An analytical approach for BERT
Estimation of hypersonic vehicle weight using Physics-Informed neural network supported by knowledge based engineering
A deep learning relation extraction approach to support a biomedical semi-automatic curation task: The case of the gluten bibliome
A network-based feature extraction model for imbalanced text data
CoCNN: Co-occurrence CNN for recommendation
A novel hybrid fuzzy–metaheuristic approach for multimodal single and multi-objective optimization problems
Complex features extraction with deep learning model for the detection of COVID19 from CT scan images using ensemble based machine learning approach
Self-adaptive Equilibrium Optimizer for solving global, combinatorial, engineering, and Multi-Objective problems
Exploratory spatial analysis for interval data: A new autocorrelation index with COVID-19 and rent price applications
Browsing behavior modeling and browsing interest extraction in the trajectories on web map service platforms
Overseeing road safety progress using CV-PROMETHEE Ⅱ-JSS: A case study in the EU context
Counting and locating high-density objects using convolutional neural network
BinBRO: Binary Battle Royale Optimizer algorithm
LifelongGlue: Keypoint matching for 3D reconstruction with continual neural networks
A composition-oriented aesthetic view recommendation network supervised by the simplified golden ratio theory
KLGCN: Knowledge graph-aware Light Graph Convolutional Network for recommender systems
Event-triggered adaptive fuzzy control for automated vehicle steer-by-wire system with prescribed performance: Theoretical design and experiment implementation
Analysis of the impact of DMUs on the overall efficiency in the event of a merger
Competitive scheduling in a hybrid flow shop problem using multi-leader–multi-follower game - A case study from Iran
A risky large group emergency decision-making method based on topic sentiment analysis
MDMN: Multi-task and Domain Adaptation based Multi-modal Network for early rumor detection
Semantic Relatedness Enhanced Graph Network for aspect category sentiment analysis
A multi-agent system for solving the Dynamic Capacitated Vehicle Routing Problem with stochastic customers using trajectory data mining
A two-stage hybrid credit risk prediction model based on XGBoost and graph-based deep neural network
Convolutional neural network-long short term memory optimization for accurate prediction of airflow in a ventilation system
Temporal deep learning architecture for prediction of COVID-19 cases in India
Online detection of weld surface defects based on improved incremental learning approach
Asset selection via correlation blockmodel clustering
A novel constrained non-negative matrix factorization method based on users and items pairwise relationship for recommender systems
Boolean Particle Swarm Optimization with various Evolutionary Population Dynamics approaches for feature selection problems
IOGOD: An interpretable outlier generation-based outlier detector for categorical databases
A dynamic spatial–temporal deep learning framework for traffic speed prediction on large-scale road networks
Company classification using machine learning
Multi-operator immune genetic algorithm for project scheduling with discounted cash flows
A deep ensemble hippocampal CNN model for brain age estimation applied to Alzheimer’s diagnosis
A Graph Adaptive Density Peaks Clustering algorithm for automatic centroid selection and effective aggregation
Opposition-based spiral dynamic algorithm with an application to optimize type-2 fuzzy control for an inverted pendulum system
UBIS: Unigram Bigram Importance Score for Feature Selection from Short Text
Aggregate interactive learning for RGB-D salient object detection
Deep reinforcement learning approach for solving joint pricing and inventory problem with reference price effects
A robust clustering algorithm based on the identification of core points and KNN kernel density estimation
Modeling customer satisfaction through online reviews: A FlowSort group decision model under probabilistic linguistic settings
Semantic web Racer: Dynamic security testing of the web application against race condition in the business layer
Integrated design of sustainable supply chain and transportation network using a fuzzy bi-level decision support system for perishable products
Multi-modality helps in crisis management: An attention-based deep learning approach of leveraging text for image classification
A class-driven approach to dimension embedding
Topic2Labels: A framework to annotate and classify the social media data through LDA topics and deep learning models for crisis response
