Expert Systems with Applications（ESWA ）的VOLUME 133论文列表

卷期号： Volume 133

发布时间： 1 November 2019

卷期年份： 2019

卷期官网： https://www.sciencedirect.com/journal/expert-systems-with-applications/vol/133/suppl/C

Editorial Board

Oversampling method using outlier detectable generative adversarial network

Two-phase probabilistic collaborative representation-based classification

Max-margin multi-scale convolutional factor analysis model with application to image classification

A fuzzy decision system for money investment in stock markets based on fuzzy candlesticks pattern recognition

Portfolio selection with coherent Investor’s expectations under uncertainty

Early prediction of the future popularity of uploaded videos

FGFIREM: A feature generation framework based on information retrieval evaluation measures

Real-time and multimodal brain slice-to-volume registration using CNN

The Internet of Things: Review and theoretical framework

A MapReduce solution for incremental mining of sequential patterns from big data

Domain-independent severely noisy image segmentation via adaptive wavelet shrinkage using particle swarm optimization and fuzzy C-means

A multi-level deep learning system for malware detection

Time series modeling and forecasting based on a Markov chain with changing transition matrices

Extractive summarization using supervised and unsupervised learning

A text classification framework for simple and effective early depression detection over social media streams

Efficient, semantics-rich transformation and integration of large datasets

Classification of texture based on Bag-of-Visual-Words through complex networks

A multi-objective evolutionary algorithm for a class of mean-variance portfolio selection problems

Automatic trimap generation and artifact reduction in alpha matte using unknown region detection

Process mining techniques and applications – A systematic mapping study

A hybrid SEM-neural network analysis of social media addiction

Multi-representational learning for Offline Signature Verification using Multi-Loss Snapshot Ensemble of CNNs