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Publication search results
found 12 matches
- 2016
- Fernando Bobillo, Umberto Straccia
:
The fuzzy ontology reasoner fuzzyDL. Knowl. Based Syst. 95: 12-34 (2016) - Dong-Kyu Chae, Jiwoon Ha, Sang-Wook Kim
, Boojoong Kang, Eul Gyu Im, Sunju Park:
Credible, resilient, and scalable detection of software plagiarism using authority histograms. Knowl. Based Syst. 95: 114-124 (2016) - Igor Dejanovic
, Gordana Milosavljevic
, Renata Vaderna:
Arpeggio: A flexible PEG parser for Python. Knowl. Based Syst. 95: 71-74 (2016) - Jian Fang
, Shaobo Lin, Zongben Xu:
Learning and approximation capabilities of orthogonal super greedy algorithm. Knowl. Based Syst. 95: 86-98 (2016) - Iker Gondra, Iván Cabria
:
Computing force field-based directional maps in subquadratic time. Knowl. Based Syst. 95: 58-70 (2016) - Sajjad Jalali
, Mehdi Seifbarghy
, Javad Sadeghi
, Samad Ahmadi:
Optimizing a bi-objective reliable facility location problem with adapted stochastic measures using tuned-parameter multi-objective algorithms. Knowl. Based Syst. 95: 45-57 (2016) - Guilan Kong, Dong-Ling Xu
, Jian-Bo Yang
, Xiaofeng Yin, Tianbing Wang, Baoguo Jiang, Yonghua Hu:
Belief rule-based inference for predicting trauma outcome. Knowl. Based Syst. 95: 35-44 (2016) - Pinar Tapkan, Lale Özbakir
, Sinem Kulluk
, Adil Baykasoglu
:
A cost-sensitive classification algorithm: BEE-Miner. Knowl. Based Syst. 95: 99-113 (2016) - Yitian Xu, Zhiji Yang, Yuqun Zhang, Xianli Pan, Laisheng Wang:
A maximum margin and minimum volume hyper-spheres machine with pinball loss for imbalanced data classification. Knowl. Based Syst. 95: 75-85 (2016) - Jianping Yu, Wenxue Hong, Chengling Qiu, Shaoxiong Li, Deming Mei:
A new approach of attribute partial order structure diagram for word sense disambiguation of English prepositions. Knowl. Based Syst. 95: 142-152 (2016) - Yongquan Zhang, Hongbing Ji:
A robust and fast partitioning algorithm for extended target tracking using a Gaussian inverse Wishart PHD filter. Knowl. Based Syst. 95: 125-141 (2016) - Qifeng Zhou, Hao Zhou, Tao Li:
Cost-sensitive feature selection using random forest: Selecting low-cost subsets of informative features. Knowl. Based Syst. 95: 1-11 (2016)
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