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ORCIDKnowledge Based Systems, Volume 179
Volume 179, September 2019
- Peter Piros, Tamas Ferenci, Rita Fleiner, Péter Andréka, Hamido Fujita
, László Fozo, Levente Kovács, András Jánosi:
Comparing machine learning and regression models for mortality prediction based on the Hungarian Myocardial Infarction Registry. 1-7 - Salahuddin Unar, Xingyuan Wang, Chunpeng Wang, Yu Wang:
A decisive content based image retrieval approach for feature fusion in visual and textual images. 8-20 - Fabrício M. Gomes, Félix M. Pereira, Aneirson Francisco da Silva, Messias Borges da Silva:
Multiple response optimization: Analysis of genetic programming for symbolic regression and assessment of desirability functions. 21-33 - Behnam Vahdani, Elham Ahmadzadeh:
Designing a realistic ICT closed loop supply chain network with integrated decisions under uncertain demand and lead time. 34-54 - Priyanka Das, Asit Kumar Das:
Graph-based clustering of extracted paraphrases for labelling crime reports. 55-76 - Xu Tian, Jie Li:
A novel improved fruit fly optimization algorithm for aerodynamic shape design optimization. 77-91 - Patrick Rodler, Dietmar Jannach, Konstantin Schekotihin, Philipp Fleiss:
Are query-based ontology debuggers really helping knowledge engineers? 92-107 - Keji Han, Yun Li, Jie Hang:
Adversary resistant deep neural networks via advanced feature nullification. 108-116 - Hermes Robles-Berumen, Amelia Zafra, Habib M. Fardoun, Sebastián Ventura:
LEAC: An efficient library for clustering with evolutionary algorithms. 117-119 - Siamak Mehrkanoon:
Deep shared representation learning for weather elements forecasting. 120-128 - Tingting Zhu, Xinyu Peng, Ping Li, Kai Zhang, Yan Chen:
Augmented label propagation for seed set expansion. 129-135 - Ken-ichi Fukui, Yoshiyuki Okada, Kazuki Satoh, Masayuki Numao:
Cluster sequence mining from event sequence data and its application to damage correlation analysis. 136-144 - Francisco Ortin, Miguel García, Seán McSweeney:
Rule-based program specialization to optimize gradually typed code. 145-173
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