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Publication search results
found 35 matches
- 2019
- Fatemeh Aghaeipoor, Mohammad Masoud Javidi:
MOKBL+MOMs: An interpretable multi-objective evolutionary fuzzy system for learning high-dimensional regression data. Inf. Sci. 496: 1-24 (2019) - Witold Andrzejewski, Pawel Boinski:
Parallel approach to incremental co-location pattern mining. Inf. Sci. 496: 485-505 (2019) - Francisco Javier Baldan, José Manuel Benítez:
Distributed FastShapelet Transform: a Big Data time series classification algorithm. Inf. Sci. 496: 451-463 (2019) - Alexandro Baldassin, Ying Weng, Daniel Carlos Guimarães Pedronette, Jurandy Almeida:
An optimized unsupervised manifold learning algorithm for manycore architectures. Inf. Sci. 496: 410-430 (2019) - Verónica Bolón-Canedo, Konstantinos Sechidis, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Gavin Brown:
Insights into distributed feature ranking. Inf. Sci. 496: 378-398 (2019) - Massimo Cafaro, Italo Epicoco, Marco Pulimeno:
Special Issue on Parallel and Distributed Data Mining. Inf. Sci. 496: 284-286 (2019) - Fabio Caraffini, Anna V. Kononova, David Corne:
Infeasibility and structural bias in differential evolution. Inf. Sci. 496: 161-179 (2019) - 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. Inf. Sci. 496: 506-537 (2019) - Emilio Coppa, Irene Finocchi, Renan Leon Garcia:
Counting cliques in parallel without a cluster: Engineering a fork/join algorithm for shared-memory platforms. Inf. Sci. 496: 553-571 (2019) - Alfredo Cuzzocrea, Enzo Mumolo:
A novel GPU-aware Histogram-based algorithm for supporting moving object segmentation in big-data-based IoT application scenarios. Inf. Sci. 496: 592-612 (2019) - Gregory Ditzler, Sean Miller, Jerzy W. Rozenblit:
Learning what we don't care about: Anti-training with sacrificial functions. Inf. Sci. 496: 198-211 (2019) - Youcef Djenouri, Djamel Djenouri, Asma Belhadi, Alberto Cano:
Exploiting GPU and cluster parallelism in single scan frequent itemset mining. Inf. Sci. 496: 363-377 (2019) - 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. Inf. Sci. 496: 326-342 (2019) - Yuling Fang, Qingkui Chen, Naixue Xiong:
A multi-factor monitoring fault tolerance model based on a GPU cluster for big data processing. Inf. Sci. 496: 300-316 (2019) - Jorge González-Domínguez, Roberto R. Expósito:
Accelerating binary biclustering on platforms with CUDA-enabled GPUs. Inf. Sci. 496: 317-325 (2019) - Jorge González-Domínguez, Verónica Bolón-Canedo, Borja Freire, Juan Touriño:
Parallel feature selection for distributed-memory clusters. Inf. Sci. 496: 399-409 (2019) - Jouni Järvinen, László Kovács, Sándor Radeleczki:
Defining rough sets using tolerances compatible with an equivalence. Inf. Sci. 496: 264-283 (2019) - 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. Inf. Sci. 496: 464-484 (2019) - Decui Liang, Mingwei Wang, Zeshui Xu:
Heterogeneous multi-attribute nonadditivity fusion for behavioral three-way decisions in interval type-2 fuzzy environment. Inf. Sci. 496: 242-263 (2019) - Hadrien Van Lierde, Tommy W. S. Chow:
Learning with fuzzy hypergraphs: A topical approach to query-oriented text summarization. Inf. Sci. 496: 212-224 (2019) - Jerry Chun-Wei Lin, Yinan Shao, Philippe Fournier-Viger, Hamido Fujita:
BILU-NEMH: A BILU neural-encoded mention hypergraph for mention extraction. Inf. Sci. 496: 53-64 (2019) - 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. Inf. Sci. 496: 180-197 (2019) - Zhuoran Ma, Jianfeng Ma, Yinbin Miao, Ximeng Liu:
Privacy-preserving and high-accurate outsourced disease predictor on random forest. Inf. Sci. 496: 225-241 (2019) - Luis Magdalena:
Semantic interpretability in hierarchical fuzzy systems: Creating semantically decouplable hierarchies. Inf. Sci. 496: 109-123 (2019) - Ameya Malondkar, Roberto Corizzo, Iluju Kiringa, Michelangelo Ceci, Nathalie Japkowicz:
Spark-GHSOM: Growing Hierarchical Self-Organizing Map for large scale mixed attribute datasets. Inf. Sci. 496: 572-591 (2019) - Jerry M. Mendel:
Adaptive variable-structure basis function expansions: Candidates for machine learning. Inf. Sci. 496: 124-149 (2019) - 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. Inf. Sci. 496: 431-450 (2019) - Raul-Jose Palma-Mendoza, Luis de-Marcos, Daniel Rodríguez, Amparo Alonso-Betanzos:
Distributed correlation-based feature selection in spark. Inf. Sci. 496: 287-299 (2019) - Yi-Wen Peng, Wei-Mei Chen:
Parallel k-dominant skyline queries in high-dimensional datasets. Inf. Sci. 496: 538-552 (2019) - Yong Shi, Yunlong Mi, Jinhai Li, Wenqi Liu:
Concurrent concept-cognitive learning model for classification. Inf. Sci. 496: 65-81 (2019)
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