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Expert Systems with Applications （ESWA） - Volume 185 论文列表

点击这里查看 Expert Systems with Applications 的JCR分区、影响因子等信息
卷期号： Volume 185
发布时间： 15 December 2021
卷期年份： 2021
卷期官网： https://www.sciencedirect.com/journal/expert-systems-with-applications/vol/185/suppl/C
本期论文列表
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