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ORCIDKnowledge Based Systems, Volume 128
Volume 128, July 2017
- Amir Hossein Niknamfar, Seyed Taghi Akhavan Niaki, Seyed Armin Akhavan Niaki:
Opposition-based learning for competitive hub location: A bi-objective biogeography-based optimization algorithm. 1-19 - María del Pilar Salas-Zárate
, Mario Andrés Paredes-Valverde, Miguel Ángel Rodríguez-García, Rafael Valencia-García, Giner Alor-Hernández:
Automatic detection of satire in Twitter: A psycholinguistic-based approach. 20-33 - Bernardo Cabaleiro, Anselmo Peñas, Suresh Manandhar:
Grounding proposition stores for question answering over linked data. 34-42 - Francesca Arcelli Fontana, Marco Zanoni:
Code smell severity classification using machine learning techniques. 43-58 - Yali Si, Fuzhi Zhang, Wenyuan Liu:
CTF-ARA: An adaptive method for POI recommendation based on check-in and temporal features. 59-70 - Wenmin Wu, Jianli Zhao, Chunsheng Zhang, Fang Meng, Zeli Zhang, Yang Zhang, Qiuxia Sun:
Improving performance of tensor-based context-aware recommenders using Bias Tensor Factorization with context feature auto-encoding. 71-77 - Zhang-Hua Fu, Jin-Kao Hao:
Knowledge-guided local search for the prize-collecting Steiner tree problem in graphs. 78-92 - Ligang Zhou, Yain-Whar Si, Hamido Fujita:
Predicting the listing statuses of Chinese-listed companies using decision trees combined with an improved filter feature selection method. 93-101 - Bita Shams, Saman Haratizadeh:
IteRank: An iterative network-oriented approach to neighbor-based collaborative ranking. 102-114 - Ahnaf Rashik Hassan, Abdulhamit Subasi:
A decision support system for automated identification of sleep stages from single-channel EEG signals. 115-124 - Huiru Wang, Zhijian Zhou:
An improved rough margin-based ν-twin bounded support vector machine. 125-138 - Petr Hájek, Roberto Henriques:
Mining corporate annual reports for intelligent detection of financial statement fraud - A comparative study of machine learning methods. 139-152
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