Expert Systems with Applications （ESWA） - Volume 42, Issue 10 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 42, Issue 10 |
| 发布时间： 15 June 2015 |
| 卷期年份： 2015 |
| 卷期官网： https://www.sciencedirect.com/journal/expert-systems-with-applications/vol/42/issue/10 |
本期论文列表
Editorial Board & Publication Information
Breast cancer diagnosis using Genetically Optimized Neural Network model
Risk assessment in social lending via random forests
Similarity of feature selection methods: An empirical study across data intensive classification tasks
Real-time energy exchange strategy of optimally cooperative microgrids for scale-flexible distribution system
A hybrid heuristic for the 0–1 Knapsack Sharing Problem
A news event-driven approach for the historical value at risk method
Optimizing R-tree for flash memory
Modeling of steelmaking process with effective machine learning techniques
A novel hybrid evolutionary approach for capturing decision maker knowledge into the unequal area facility layout problem
Neuro-genetic approach on logistic model based software reliability prediction
Bacterial foraging driven exploration of multi cycle fault tolerant datapath based on power-performance tradeoff in high level synthesis
Transforming collaborative filtering into supervised learning
A modular approach for lexical normalization applied to Spanish tweets
Path relinking for the fixed spectrum frequency assignment problem
Intelligent-search technique based strategic placement of synchronized measurements for power system observability
Virtual fields and behaviour blending for the coordinated navigation of robot teams: Some experimental results
Study on SINA micro-blog personalized recommendation based on semantic network
Variable neighborhood search heuristics for a test assembly design problem
Ensemble learning methods for pay-per-click campaign management
Description and prediction of time series: A general framework of Granular Computing
Two approaches for novelty detection using random forest
Escaping your comfort zone: A graph-based recommender system for finding novel recommendations among relevant items