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Information Sciences
Volume 496
Information Sciences
(ISCI)
-
Volume 496
论文列表
点击这里查看 Information Sciences 的JCR分区、影响因子等信息
卷期号:
Volume 496
发布时间:
September 2019
卷期年份:
2019
卷期官网:
https://www.sciencedirect.com/journal/information-sciences/vol/496/suppl/C
本期论文列表
Editorial Board
原文链接
谷歌学术
必应学术
百度学术
MOKBL+MOMs: An interpretable multi-objective evolutionary fuzzy system for learning high-dimensional regression data
原文链接
谷歌学术
必应学术
百度学术
Adaptive image enhancement method for correcting low-illumination images
原文链接
谷歌学术
必应学术
百度学术
A fully dynamic secret sharing scheme
原文链接
谷歌学术
必应学术
百度学术
BILU-NEMH: A BILU neural-encoded mention hypergraph for mention extraction
原文链接
谷歌学术
必应学术
百度学术
Concurrent concept-cognitive learning model for classification
原文链接
谷歌学术
必应学术
百度学术
A decomposition and statistical learning based many-objective artificial bee colony optimizer
原文链接
谷歌学术
必应学术
百度学术
Semantic interpretability in hierarchical fuzzy systems: Creating semantically decouplable hierarchies
原文链接
谷歌学术
必应学术
百度学术
Adaptive variable-structure basis function expansions: Candidates for machine learning
原文链接
谷歌学术
必应学术
百度学术
Efficiently and securely outsourcing compressed sensing reconstruction to a cloud
原文链接
谷歌学术
必应学术
百度学术
Infeasibility and structural bias in differential evolution
原文链接
谷歌学术
必应学术
百度学术
Intelligent multi-task allocation and planning for multiple unmanned surface vehicles (USVs) using self-organising maps and fast marching method
原文链接
谷歌学术
必应学术
百度学术
Learning what we don’t care about: Anti-training with sacrificial functions
原文链接
谷歌学术
必应学术
百度学术
Learning with fuzzy hypergraphs: A topical approach to query-oriented text summarization
原文链接
谷歌学术
必应学术
百度学术
Privacy-preserving and high-accurate outsourced disease predictor on random forest
原文链接
谷歌学术
必应学术
百度学术
Heterogeneous multi-attribute nonadditivity fusion for behavioral three-way decisions in interval type-2 fuzzy environment
原文链接
谷歌学术
必应学术
百度学术
Defining rough sets using tolerances compatible with an equivalence
原文链接
谷歌学术
必应学术
百度学术
Special Issue on Parallel and Distributed Data Mining
原文链接
谷歌学术
必应学术
百度学术
Distributed correlation-based feature selection in spark
原文链接
谷歌学术
必应学术
百度学术
A multi-factor monitoring fault tolerance model based on a GPU cluster for big data processing
原文链接
谷歌学术
必应学术
百度学术
Accelerating binary biclustering on platforms with CUDA-enabled GPUs
原文链接
谷歌学术
必应学术
百度学术
Exploiting GPU parallelism in improving bees swarm optimization for mining big transactional databases
原文链接
谷歌学术
必应学术
百度学术
An efficient parallel row enumerated algorithm for mining frequent colossal closed itemsets from high dimensional datasets
原文链接
谷歌学术
必应学术
百度学术
Exploiting GPU and cluster parallelism in single scan frequent itemset mining
原文链接
谷歌学术
必应学术
百度学术
Insights into distributed feature ranking
原文链接
谷歌学术
必应学术
百度学术
Parallel feature selection for distributed-memory clusters
原文链接
谷歌学术
必应学术
百度学术
An optimized unsupervised manifold learning algorithm for manycore architectures
原文链接
谷歌学术
必应学术
百度学术
Distributed classification based on distances between probability distributions in feature space
原文链接
谷歌学术
必应学术
百度学术
Distributed FastShapelet Transform: a Big Data time series classification algorithm
原文链接
谷歌学术
必应学术
百度学术
An efficient manifold regularized sparse non-negative matrix factorization model for large-scale recommender systems on GPUs
原文链接
谷歌学术
必应学术
百度学术
Parallel approach to incremental co-location pattern mining
原文链接
谷歌学术
必应学术
百度学术
A periodicity-based parallel time series prediction algorithm in cloud computing environments
原文链接
谷歌学术
必应学术
百度学术
Parallel k-dominant skyline queries in high-dimensional datasets
原文链接
谷歌学术
必应学术
百度学术
Counting cliques in parallel without a cluster: Engineering a fork/join algorithm for shared-memory platforms
原文链接
谷歌学术
必应学术
百度学术
Spark-GHSOM: Growing Hierarchical Self-Organizing Map for large scale mixed attribute datasets
原文链接
谷歌学术
必应学术
百度学术
A novel GPU-aware Histogram-based algorithm for supporting moving object segmentation in big-data-based IoT application scenarios
原文链接
谷歌学术
必应学术
百度学术