Editorial Board
Spectral decision in cognitive radio networks based on deep learning
Knowledge interoperability and re-use in Empathy Mapping: an ontological approach
Procedural generation of dungeons’ maps and locked-door missions through an evolutionary algorithm validated with players
ImageDataset2Vec: An image dataset embedding for algorithm selection
News Sentiment Informed Time-series Analyzing AI (SITALA) to curb the spread of COVID-19 in Houston
A pareto-based ensemble of feature selection algorithms
The impact of artificial intelligence and big data on end-stage kidney disease treatments
Adaptive center pixel selection strategy in Local Binary Pattern for texture classification
Online disease risk monitoring using DEWMA control chart
Characterization of Syrian refugees with work permit applications in Turkey: A data mining based methodology
An EEG based hierarchical classification strategy to differentiate five intensities of pain
An adaptive cluster-based sparse autoregressive model for large-scale multi-step traffic forecasting
An automatic method for segmentation of liver lesions in computed tomography images using deep neural networks
Application of complex systems topologies in artificial neural networks optimization: An overview
Dissecting a data-driven prognostic pipeline: A powertrain use case
High-end equipment data desensitization method based on improved Stackelberg GAN
A metaheuristic for the rural school bus routing problem with bell adjustment
Global citation recommendation employing generative adversarial network
A novel image-based convolutional neural network approach for traffic congestion estimation
Differentially private and utility-aware publication of trajectory data
Determination of COVID-19 pneumonia based on generalized convolutional neural network model from chest X-ray images
An integrated framework with machine learning and radiomics for accurate and rapid early diagnosis of COVID-19 from Chest X-ray
Product processing prioritization in hybrid flow shop systems supported on Nash bargaining model and simulation-optimization
Dynamic few-view X-ray imaging for inspection of CAD-based objects
ARQGAN: An evaluation of generative adversarial network approaches for automatic virtual inpainting restoration of Greek temples
A reduced variance unsupervised ensemble learning algorithm based on modern portfolio theory
A novel embedding approach to learn word vectors by weighting semantic relations: SemSpace
A cross-modal fusion based approach with scale-aware deep representation for RGB-D crowd counting and density estimation
Extracting control variables of casting processes with NMF and rule extraction
Study on strategy of CT image sequence segmentation for liver and tumor based on U-Net and Bi-ConvLSTM
A language-independent authorship attribution approach for author identification of text documents
Bio-inspired optimization of weighted-feature machine learning for strength property prediction of fiber-reinforced soil
Session-based news recommendations using SimRank on multi-modal graphs
Multi-objective model for supplier selection and order allocation problem with fuzzy parameters
Multirobot coordination with deep reinforcement learning in complex environments
A fast graph modification method for social network anonymization
Multi-step influenza outbreak forecasting using deep LSTM network and genetic algorithm
Co-attentive representation learning for web services classification
Multi-label graph node classification with label attentive neighborhood convolution
Analyzing the effects of the new labor law on outpatient nurse scheduling with law-fitting modeling and case studies
A socially motivating and environmentally friendly tour recommendation framework for tourist groups
Normalized nonconformity measures for automated valuation models
Supervised discriminant Isomap with maximum margin graph regularization for dimensionality reduction
Universal pooling – A new pooling method for convolutional neural networks
