| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Accelerating binary biclustering on platforms with CUDA-enabled GPUs
|
González-Domínguez, Jorge
|
|
|
496 |
C |
p. 317-325
|
artikel
|
| 2 |
Adaptive image enhancement method for correcting low-illumination images
|
Wang, Wencheng
|
|
|
496 |
C |
p. 25-41
|
artikel
|
| 3 |
Adaptive variable-structure basis function expansions: Candidates for machine learning
|
Mendel, Jerry M.
|
|
|
496 |
C |
p. 124-149
|
artikel
|
| 4 |
A decomposition and statistical learning based many-objective artificial bee colony optimizer
|
Zhou, Jiajun
|
|
|
496 |
C |
p. 82-108
|
artikel
|
| 5 |
A fully dynamic secret sharing scheme
|
Yuan, Jiangtao
|
|
|
496 |
C |
p. 42-52
|
artikel
|
| 6 |
A multi-factor monitoring fault tolerance model based on a GPU cluster for big data processing
|
Fang, Yuling
|
|
|
496 |
C |
p. 300-316
|
artikel
|
| 7 |
An efficient manifold regularized sparse non-negative matrix factorization model for large-scale recommender systems on GPUs
|
Li, Hao
|
|
|
496 |
C |
p. 464-484
|
artikel
|
| 8 |
An efficient parallel row enumerated algorithm for mining frequent colossal closed itemsets from high dimensional datasets
|
Vanahalli, Manjunath K
|
|
|
496 |
C |
p. 343-362
|
artikel
|
| 9 |
An optimized unsupervised manifold learning algorithm for manycore architectures
|
Baldassin, Alexandro
|
|
|
496 |
C |
p. 410-430
|
artikel
|
| 10 |
A novel GPU-aware Histogram-based algorithm for supporting moving object segmentation in big-data-based IoT application scenarios
|
Cuzzocrea, Alfredo
|
|
|
496 |
C |
p. 592-612
|
artikel
|
| 11 |
A periodicity-based parallel time series prediction algorithm in cloud computing environments
|
Chen, Jianguo
|
|
|
496 |
C |
p. 506-537
|
artikel
|
| 12 |
BILU-NEMH: A BILU neural-encoded mention hypergraph for mention extraction
|
Lin, Jerry Chun-Wei
|
|
|
496 |
C |
p. 53-64
|
artikel
|
| 13 |
Concurrent concept-cognitive learning model for classification
|
Shi, Yong
|
|
|
496 |
C |
p. 65-81
|
artikel
|
| 14 |
Counting cliques in parallel without a cluster: Engineering a fork/join algorithm for shared-memory platforms
|
Coppa, Emilio
|
|
|
496 |
C |
p. 553-571
|
artikel
|
| 15 |
Defining rough sets using tolerances compatible with an equivalence
|
Järvinen, Jouni
|
|
|
496 |
C |
p. 264-283
|
artikel
|
| 16 |
Distributed classification based on distances between probability distributions in feature space
|
Montero-Manso, Pablo
|
|
|
496 |
C |
p. 431-450
|
artikel
|
| 17 |
Distributed correlation-based feature selection in spark
|
Palma-Mendoza, Raul-Jose
|
|
|
496 |
C |
p. 287-299
|
artikel
|
| 18 |
Distributed FastShapelet Transform: a Big Data time series classification algorithm
|
Baldán, Francisco J.
|
|
|
496 |
C |
p. 451-463
|
artikel
|
| 19 |
Editorial Board
|
|
|
|
496 |
C |
p. ii
|
artikel
|
| 20 |
Efficiently and securely outsourcing compressed sensing reconstruction to a cloud
|
Zhang, Yushu
|
|
|
496 |
C |
p. 150-160
|
artikel
|
| 21 |
Exploiting GPU and cluster parallelism in single scan frequent itemset mining
|
Djenouri, Youcef
|
|
|
496 |
C |
p. 363-377
|
artikel
|
| 22 |
Exploiting GPU parallelism in improving bees swarm optimization for mining big transactional databases
|
Djenouri, Youcef
|
|
|
496 |
C |
p. 326-342
|
artikel
|
| 23 |
Heterogeneous multi-attribute nonadditivity fusion for behavioral three-way decisions in interval type-2 fuzzy environment
|
Liang, Decui
|
|
|
496 |
C |
p. 242-263
|
artikel
|
| 24 |
Infeasibility and structural bias in differential evolution
|
Caraffini, Fabio
|
|
|
496 |
C |
p. 161-179
|
artikel
|
| 25 |
Insights into distributed feature ranking
|
Bolón-Canedo, Verónica
|
|
|
496 |
C |
p. 378-398
|
artikel
|
| 26 |
Intelligent multi-task allocation and planning for multiple unmanned surface vehicles (USVs) using self-organising maps and fast marching method
|
Liu, Yuanchang
|
|
|
496 |
C |
p. 180-197
|
artikel
|
| 27 |
Learning what we don’t care about: Anti-training with sacrificial functions
|
Ditzler, Gregory
|
|
|
496 |
C |
p. 198-211
|
artikel
|
| 28 |
Learning with fuzzy hypergraphs: A topical approach to query-oriented text summarization
|
Van Lierde, Hadrien
|
|
|
496 |
C |
p. 212-224
|
artikel
|
| 29 |
MOKBL+MOMs: An interpretable multi-objective evolutionary fuzzy system for learning high-dimensional regression data
|
Aghaeipoor, Fatemeh
|
|
|
496 |
C |
p. 1-24
|
artikel
|
| 30 |
Parallel approach to incremental co-location pattern mining
|
Andrzejewski, Witold
|
|
|
496 |
C |
p. 485-505
|
artikel
|
| 31 |
Parallel feature selection for distributed-memory clusters
|
González-Domínguez, Jorge
|
|
|
496 |
C |
p. 399-409
|
artikel
|
| 32 |
Parallel k-dominant skyline queries in high-dimensional datasets
|
Peng, Yi-Wen
|
|
|
496 |
C |
p. 538-552
|
artikel
|
| 33 |
Privacy-preserving and high-accurate outsourced disease predictor on random forest
|
Ma, Zhuoran
|
|
|
496 |
C |
p. 225-241
|
artikel
|
| 34 |
Semantic interpretability in hierarchical fuzzy systems: Creating semantically decouplable hierarchies
|
Magdalena, L.
|
|
|
496 |
C |
p. 109-123
|
artikel
|
| 35 |
Spark-GHSOM: Growing Hierarchical Self-Organizing Map for large scale mixed attribute datasets
|
Malondkar, Ameya
|
|
|
496 |
C |
p. 572-591
|
artikel
|
| 36 |
Special Issue on Parallel and Distributed Data Mining
|
Cafaro, Massimo
|
|
|
496 |
C |
p. 284-286
|
artikel
|
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