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Expert Systems with Applications （ESWA） - Volume 202 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 202
发布时间： 15 September 2022
卷期年份： 2022
卷期官网： https://www.sciencedirect.com/journal/expert-systems-with-applications/vol/202/suppl/C
本期论文列表
Editorial Board

An agent-based infrastructure for assessing the performance of planning approaches for semiconductor supply chains

Integrated inventory and transportation management with stochastic demands: A scenario-based economic model predictive control approach

IRI: An intelligent resistivity inversion framework based on fuzzy wavelet neural network

CODH++: Macro-semantic differences oriented instance segmentation network

A simple modelling strategy for integer order and fractional order interval type-2 fuzzy PID controllers with their simulation and real-time implementation

A framework of active learning and semi-supervised learning for lithology identification based on improved naive Bayes

Transformer-based attention network for stock movement prediction

Multi-attention mutual information distributed framework for few-shot learning

PictoBERT: Transformers for next pictogram prediction

Outperforming algorithmic trading reinforcement learning systems: A supervised approach to the cryptocurrency market

ISeeU2: Visually interpretable mortality prediction inside the ICU using deep learning and free-text medical notes

Generalized techniques for solving intuitionistic fuzzy multi-objective non-linear optimization problems

Multi-source transfer learning guided ensemble LSTM for building multi-load forecasting

Multi-attention graph neural networks for city-wide bus travel time estimation using limited data

Classification of non-Hodgkin lymphomas based on sample entropy signatures

Modal decomposition-based hybrid model for stock index prediction

A reusable discounting framework under jump-diffusion process

A multimodal framework for the evaluation of patients’ weaknesses, supporting the design of customised AAL solutions

Customer price sensitivities in competitive insurance markets

A diversity preservation method for expensive multi-objective combinatorial optimization problems using Novel-First Tabu Search and MOEA/D

Algorithmic Trading: The Intelligent Trading Systems and Its Impact on Trade Size

A novel XGBoost extension for credit scoring class-imbalanced data combining a generalized extreme value link and a modified focal loss function

FISEVAL-A novel project evaluation approach using fuzzy logic: The paradigm of the i-Treasures project

A novel Sequence-Aware personalized recommendation system based on multidimensional information

Convolution neural network based polycrystalline silicon photovoltaic cell linear defect diagnosis using electroluminescence images

A knowledge-driven constructive heuristic algorithm for the distributed assembly blocking flow shop scheduling problem

A multi-input multi-label claims channeling system using insurance-based language models

Regression random machines: An ensemble support vector regression model with free kernel choice

A multi-head attention-based transformer model for traffic flow forecasting with a comparative analysis to recurrent neural networks

A sustainable flexible manufacturing–remanufacturing model with improved service and green investment under variable demand

High-end equipment: An improved two-sided based S&M matching and a novel Pareto refining method considering consistency

Identification of endometrial tuberculosis in infertility using Non-Subsampled Contourlet based convolution neural network

Lens-imaging learning Harris hawks optimizer for global optimization and its application to feature selection

DeepLib: Machine translation techniques to recommend upgrades for third-party libraries

A cost-effective approach for mining near-optimal top-k patterns

Modified swarm intelligence algorithms for the pharmacy duty scheduling problem

Support decision system based on invoices data mining to estimate commercial pent-up demands

Coverage area maximization with parallel simulated annealing

Integration of fuzzy logic and a convolutional neural network in three-way decision-making

2DLIF-PROMETHEE based on the hybrid distance of 2-dimension linguistic intuitionistic fuzzy sets for multiple attribute decision making

DSRD-Net: Dual-stream residual dense network for semantic segmentation of instruments in robot-assisted surgery

A novel attention-based deep learning method for post-disaster building damage classification

Topic model-based recommender systems and their applications to cold-start problems

“Why tag me?”: Detecting motivations of comment tagging in Instagram

Intensification-driven local search for the traveling repairman problem with profits

A hybrid metaheuristic algorithm based on iterated local search for vehicle routing problem with simultaneous pickup and delivery

Consistency and consensus driven for hesitant fuzzy linguistic decision making with pairwise comparisons

Conversion paths of online consumers: A sequential pattern mining approach

Product failure detection for production lines using a data-driven model

Range-aided ego-centric collaborative pose estimation for multiple robots

Case-based reasoning system for fault diagnosis of aero-engines

Mexican traffic sign detection and classification using deep learning

Modified metaheuristic algorithms to design a closed-loop supply chain network considering quantity discount and fixed-charge transportation

Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows

Performance analysis of fingerprinting indoor positioning methods with BLE

Hybrid fuzzy multiple SVM classifier through feature fusion based on convolution neural networks and its practical applications

A novel classification approach based on context connotative network (CCNet): A case of construction site accidents

A conceptual design decision approach by integrating rough Bayesian network and game theory under uncertain behavior selections

Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debugging

Unsupervised novelty pattern classification of shmoo plots for visualizing the test results of integrated circuits

A bottleneck detection approach for separating overlapped cells

Fair-AdaBoost: Extending AdaBoost method to achieve fair classification

Learning to classify relations between entities from noisy data - A meta instance reweighting approach

A decision support model for estimating participation-oriented designs of crowdsourcing platforms based on quality function deployment

China’s commercial bank stock price prediction using a novel K-means-LSTM hybrid approach

Instant customer base analysis in the financial services sector

An extended multi-criteria group decision-making method with psychological factors and bidirectional influence relation for emergency medical supplier selection

An integrated optimization and machine learning approach to predict the admission status of emergency patients

Graph-based modeling using association rule mining to detect influential users in social networks

PSRMTE: Paper submission recommendation using mixtures of transformer

Riemannian submanifold framework for log-Euclidean metric learning on symmetric positive definite manifolds

A novel approach for text categorization by applying hybrid genetic bat algorithm through feature extraction and feature selection methods

Efficient bi-traits identification using CEDRNN classifier for forensic applications

Low-rank dictionary learning for unsupervised feature selection

Deep attention ConvLSTM-based adaptive fusion of clear-sky physical prior knowledge and multivariable historical information for probabilistic prediction of photovoltaic power

An extreme learning machine based virtual sample generation method with feature engineering for credit risk assessment with data scarcity

MAHE-IM: Multiple Aggregation of Heterogeneous Relation Embedding for Influence Maximization on Heterogeneous Information Network

BiCuDNNLSTM-1dCNN — A hybrid deep learning-based predictive model for stock price prediction

A novel hierarchical hyper-parameter search algorithm based on greedy strategy for wind turbine fault diagnosis

A Spatiotemporal Graph Neural Network for session-based recommendation

A novel technique to identify AIS transmissions from vessels which attempt to obscure their position by switching their AIS transponder from normal transmit power mode to low transmit power mode

When stakes are high: Balancing accuracy and transparency with Model-Agnostic Interpretable Data-driven suRRogates

The role of influential nodes and their influence domain in community detection: An approximate method for maximizing modularity

GA-GRGAT: A novel deep learning model for high-speed train axle temperature long term forecasting

Comparative analysis of deep learning based building extraction methods with the new VHR Istanbul dataset

A survey on AI and decision support systems in psychiatry – Uncovering a dilemma

HASA: Hybrid architecture search with aggregation strategy for echinococcosis classification and ovary segmentation in ultrasound images

Deep cepstrum-wavelet autoencoder: A novel intelligent sonar classifier

DMDF-Net: Dual multiscale dilated fusion network for accurate segmentation of lesions related to COVID-19 in lung radiographic scans

Mobile and wearable sensors for data-driven health monitoring system: State-of-the-art and future prospect

Learning to select goals in Automated Planning with Deep-Q Learning

GCNFusion: An efficient graph convolutional network based model for information diffusion

Immersive technology-enabled digital transformation in transportation fields: A literature overview

An adaptive Grey-Markov model based on parameters Self-optimization with application to passenger flow volume prediction

Multidimensional nearest neighbors classification based system for incomplete lip print identification

A robust optimization approach for disassembly assembly routing problem under uncertain yields

A new weakly supervised learning approach for real-time iron ore feed load estimation

A damage detection system for inner bore of electromagnetic railgun launcher based on deep learning and computer vision

SWP-LeafNET: A novel multistage approach for plant leaf identification based on deep CNN