Editorial Board
Weighted Clusterwise Linear Regression based on adaptive quadratic form distance
Enhanced Harris hawks optimization with multi-strategy for global optimization tasks
EA-based hyperparameter optimization of hybrid deep learning models for effective drug-target interactions prediction
Survey of similarity functions on neighborhood-based collaborative filtering
Applying deep neural networks for the automatic recognition of sign language words: A communication aid to deaf agriculturists
A hybrid matheuristic for the Two-Stage Capacitated Facility Location problem
Automatic recommendation of feature selection algorithms based on dataset characteristics
Dependence modeling of multivariate longitudinal hybrid insurance data with dropout
Application of Chi-square discretization algorithms to ensemble classification methods
Data fusion based on Searchlight analysis for the prediction of Alzheimer’s disease
A bidirectional LSTM deep learning approach for intrusion detection
Persona analytics: Analyzing the stability of online segments and content interests over time using non-negative matrix factorization
Bankruptcy prediction on the base of the unbalanced data using multi-objective selection of classifiers
A Gaussian Process model for UAV localization using millimetre wave radar
Bank strategic asset allocation under a unified risk measure
Utilizing the evidential reasoning approach to determine a suitable wireless sensor network orientation for asset integrity monitoring of an offshore gas turbine driven generator
Random sampling with fuzzy replacement
Ordering of interval-valued Fermatean fuzzy sets and its applications
Recovery solutions for ecotourism centers during the Covid-19 pandemic: Utilizing Fuzzy DEMATEL and Fuzzy VIKOR methods
Water end-use consumption in low-income households: Evaluation of the impact of preprocessing on the construction of a classification model
Data-driven decision support system for managing item allocation in an ASRS: A framework development and a case study
Incremental semi-supervised Extreme Learning Machine for Mixed data stream classification
Assessing the competency of a semi-parametric expert system in the realms of response characterization uncertainty in premixed methanol dual fuel diesel combustion strategies: In critique to RSM
Multiscale quantum harmonic oscillator optimization algorithm with multiple quantum perturbations for numerical optimization
Modeling spatiotemporal patterns of gait anomaly with a CNN-LSTM deep neural network
Fraudulent traffic detection in online advertising with bipartite graph propagation algorithm
Single and Multi-label Fault Classification in rotors from unprocessed multi-sensor data through deep and parallel CNN architectures
Enhancing topic-detection in computerized assessments of constructed responses with distributional models of language
A graph-based recommendation approach for highly interactive platforms
Web usage analysis of Pillar 3 disclosed information by deposit customers in turbulent times
Deep learning based bi-level approach for proactive loan prospecting
An extended formulation of moldable task scheduling problem and its application to quay crane assignments
Cross-subject EEG emotion classification based on few-label adversarial domain adaption
Smart training: Mask R-CNN oriented approach
ISSP-tree: An improved fast algorithm for constructing a complete prefix tree using single database scan
An automatic and efficient technique for tumor location identification and classification through breast MR images
Markov features based DTCWS algorithm for online image forgery detection using ensemble classifier in the pandemic
A sentiment analysis-based expert weight determination method for large-scale group decision-making driven by social media data
Attribute-based Neural Collaborative Filtering
DeepAssociate: A deep learning model exploring sequential influence and history-candidate association for sequence recommendation
Grey models for short-term queue length predictions for adaptive traffic signal control
E-Res U-Net: An improved U-Net model for segmentation of muscle images
Bayesian based lifetime prediction for high-power white LEDs
Integer programming approach and application of reformulation-linearization technique to liver exchange problem
Deep Learning for predicting neutralities in Offensive Language Identification Dataset
Matrix completion on learnt graphs: Application to collaborative filtering
ARF: A hybrid model for credit scoring in complex systems
New closed-loop approximate dynamic programming for solving stochastic decentralized multi-project scheduling problem with resource transfers
Seq2Img-DRNET: A travel time index prediction algorithm for complex road network at regional level
Triplet loss based metric learning for closed loop detection in VSLAM system
Prioritizing and aggregating interacting requirements for product-service system development
Data-driven modeling of technology acceptance: A machine learning perspective
SDFNet: Automatic segmentation of kidney ultrasound images using multi-scale low-level structural feature
Automated design of search algorithms: Learning on algorithmic components
Predicting combat outcomes and optimizing armies in StarCraft II by deep learning
Embedding-based real-time change point detection with application to activity segmentation in smart home time series data
A novel temporal recommender system based on multiple transitions in user preference drift and topic review evolution
Towards comprehensive profile aggregation methods for group recommendation based on the latent factor model
Particle distance rank feature selection by particle swarm optimization
Forecasting influenza epidemics in Hong Kong using Google search queries data: A new integrated approach
A two-stage evolutionary strategy based MOEA/D to multi-objective problems
Gait monitoring system for patients with Parkinson’s disease
A level set method based on additive bias correction for image segmentation
A deep-learning-based framework for severity assessment of COVID-19 with CT images
Machine learning model for diagnostic method prediction in parasitic disease using clinical information
An efficient multi-objective evolutionary approach for solving the operation of multi-reservoir system scheduling in hydro-power plants
Automated classification of remote sensing images using multileveled MobileNetV2 and DWT techniques
Representation learning using Attention Network and CNN for Heterogeneous networks
Self-supervised multimodal reconstruction pre-training for retinal computer-aided diagnosis
Evidential reasoning for preprocessing uncertain categorical data for trustworthy decisions: An application on healthcare and finance
DeepBatch: A hybrid deep learning model for interpretable diagnosis of breast cancer in whole-slide images
Machine Learning analysis of the human infant gut microbiome identifies influential species in type 1 diabetes
Combating hate speech using an adaptive ensemble learning model with a case study on COVID-19
An ensemble method for nuclei detection of overlapping cervical cells
Nonlinear classification of emotion from EEG signal based on maximized mutual information
MFFNet: Multi-dimensional Feature Fusion Network based on attention mechanism for sEMG analysis to detect muscle fatigue
CS-ResNet: Cost-sensitive residual convolutional neural network for PCB cosmetic defect detection
A quantum-clustering optimization method for COVID-19 CT scan image segmentation
Combined ensemble multi-class SVM and fuzzy NSGA-II for trend forecasting and trading in Forex markets
A self-organizing incremental neural network for continual supervised learning
Graph signal recovery using restricted Boltzmann machines
A novel representation in genetic programming for ensemble classification of human motions based on inertial signals
An efficient multilevel thresholding segmentation method for thermography breast cancer imaging based on improved chimp optimization algorithm
Bias and variance residuals for machine learning nonlinear simplex regressions
Quantile cross-spectral density: A novel and effective tool for clustering multivariate time series
Control chart recognition based on the parallel model of CNN and LSTM with GA optimization
Remora optimization algorithm
EMG pattern recognition via Bayesian inference with scale mixture-based stochastic generative models
A stochastic approximation approach to simultaneous feature weighting and selection for nearest neighbour learners
Improving fairness of artificial intelligence algorithms in Privileged-Group Selection Bias data settings
AutoWeka4MCPS-AVATAR: Accelerating automated machine learning pipeline composition and optimisation
A diversified group teaching optimization algorithm with segment-based fitness strategy for unmanned aerial vehicle route planning
Data augmentation approaches using cycle-consistent adversarial networks for improving COVID-19 screening in portable chest X-ray images
Improving exploration efficiency of deep reinforcement learning through samples produced by generative model
An attention-driven convolutional neural network-based multi-level spectral–spatial feature learning for hyperspectral image classification
Deep neural network approach for a serendipity-oriented recommendation system
Development and application of evaporation rate water cycle algorithm for optimal coordination of directional overcurrent relays
Wavelet and deep learning-based detection of SARS-nCoV from thoracic X-ray images for rapid and efficient testing
Integrated framework of process mining and simulation–optimization for pod structured clinical layout design
