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ORCIDInformation Sciences, Volume 496
Volume 496, September 2019
- Fatemeh Aghaeipoor
, Mohammad Masoud Javidi:
MOKBL+MOMs: An interpretable multi-objective evolutionary fuzzy system for learning high-dimensional regression data. 1-24 - Wencheng Wang, Zhenxue Chen, Xiaohui Yuan, Xiaojin Wu:
Adaptive image enhancement method for correcting low-illumination images. 25-41 - Jiangtao Yuan, Lixiang Li:
A fully dynamic secret sharing scheme. 42-52 - Jerry Chun-Wei Lin, Yinan Shao, Philippe Fournier-Viger, Hamido Fujita:
BILU-NEMH: A BILU neural-encoded mention hypergraph for mention extraction. 53-64 - Yong Shi, Yunlong Mi, Jinhai Li, Wenqi Liu:
Concurrent concept-cognitive learning model for classification. 65-81 - Jiajun Zhou, Liang Gao, Xifan Yao, Felix T. S. Chan, Jianming Zhang, Xinyu Li, Yingzi Lin:
A decomposition and statistical learning based many-objective artificial bee colony optimizer. 82-108 - Luis Magdalena:
Semantic interpretability in hierarchical fuzzy systems: Creating semantically decouplable hierarchies. 109-123 - Jerry M. Mendel:
Adaptive variable-structure basis function expansions: Candidates for machine learning. 124-149 - Yushu Zhang, Yong Xiang, Leo Yu Zhang, Lu-Xing Yang, Jiantao Zhou:
Efficiently and securely outsourcing compressed sensing reconstruction to a cloud. 150-160 - Fabio Caraffini, Anna V. Kononova, David Corne:
Infeasibility and structural bias in differential evolution. 161-179 - Yuanchang Liu, Rui Song, Richard W. G. Bucknall, Xinyu Zhang:
Intelligent multi-task allocation and planning for multiple unmanned surface vehicles (USVs) using self-organising maps and fast marching method. 180-197 - Gregory Ditzler, Sean Miller, Jerzy W. Rozenblit:
Learning what we don't care about: Anti-training with sacrificial functions. 198-211 - Hadrien Van Lierde, Tommy W. S. Chow:
Learning with fuzzy hypergraphs: A topical approach to query-oriented text summarization. 212-224 - Zhuoran Ma, Jianfeng Ma, Yinbin Miao, Ximeng Liu:
Privacy-preserving and high-accurate outsourced disease predictor on random forest. 225-241 - Decui Liang, Mingwei Wang, Zeshui Xu:
Heterogeneous multi-attribute nonadditivity fusion for behavioral three-way decisions in interval type-2 fuzzy environment. 242-263 - Jouni Järvinen, László Kovács, Sándor Radeleczki:
Defining rough sets using tolerances compatible with an equivalence. 264-283
- Massimo Cafaro, Italo Epicoco, Marco Pulimeno:
Special Issue on Parallel and Distributed Data Mining. 284-286 - Raul-Jose Palma-Mendoza, Luis de Marcos, Daniel Rodríguez, Amparo Alonso-Betanzos:
Distributed correlation-based feature selection in spark. 287-299 - Yuling Fang, Qingkui Chen, Naixue Xiong:
A multi-factor monitoring fault tolerance model based on a GPU cluster for big data processing. 300-316 - Jorge González-Domínguez, Roberto R. Expósito:
Accelerating binary biclustering on platforms with CUDA-enabled GPUs. 317-325 - Youcef Djenouri, Djamel Djenouri, Asma Belhadi, Philippe Fournier-Viger, Jerry Chun-Wei Lin, Ahcène Bendjoudi:
Exploiting GPU parallelism in improving bees swarm optimization for mining big transactional databases. 326-342 - Manjunath K. Vanahalli, Nagamma Patil:
An efficient parallel row enumerated algorithm for mining frequent colossal closed itemsets from high dimensional datasets. 343-362 - Youcef Djenouri, Djamel Djenouri, Asma Belhadi, Alberto Cano:
Exploiting GPU and cluster parallelism in single scan frequent itemset mining. 363-377 - Verónica Bolón-Canedo, Konstantinos Sechidis, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Gavin Brown:
Insights into distributed feature ranking. 378-398 - Jorge González-Domínguez, Verónica Bolón-Canedo, Borja Freire, Juan Touriño:
Parallel feature selection for distributed-memory clusters. 399-409 - Alexandro Baldassin, Ying Weng, Daniel Carlos Guimarães Pedronette, Jurandy Almeida:
An optimized unsupervised manifold learning algorithm for manycore architectures. 410-430 - Pablo Montero-Manso, Laura Morán-Fernández, Verónica Bolón-Canedo, José Antonio Vilar, Amparo Alonso-Betanzos:
Distributed classification based on distances between probability distributions in feature space. 431-450 - Francisco Javier Baldan, José Manuel Benítez:
Distributed FastShapelet Transform: a Big Data time series classification algorithm. 451-463 - Hao Li, Keqin Li, Jiyao An, Weihua Zheng, Kenli Li:
An efficient manifold regularized sparse non-negative matrix factorization model for large-scale recommender systems on GPUs. 464-484 - Witold Andrzejewski, Pawel Boinski:
Parallel approach to incremental co-location pattern mining. 485-505 - Jianguo Chen, Kenli Li, Huigui Rong, Kashif Bilal, Keqin Li, Philip S. Yu:
A periodicity-based parallel time series prediction algorithm in cloud computing environments. 506-537 - Yi-Wen Peng, Wei-Mei Chen:
Parallel k-dominant skyline queries in high-dimensional datasets. 538-552 - Emilio Coppa, Irene Finocchi, Renan Leon Garcia:
Counting cliques in parallel without a cluster: Engineering a fork/join algorithm for shared-memory platforms. 553-571 - Ameya Malondkar, Roberto Corizzo, Iluju Kiringa, Michelangelo Ceci, Nathalie Japkowicz:
Spark-GHSOM: Growing Hierarchical Self-Organizing Map for large scale mixed attribute datasets. 572-591 - Alfredo Cuzzocrea, Enzo Mumolo:
A novel GPU-aware Histogram-based algorithm for supporting moving object segmentation in big-data-based IoT application scenarios. 592-612
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