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ORCIDExpert Systems with Applications, Volume 110
Volume 110, November 2018
- Hyunchul Choi, Hyojoo Son
, Changwan Kim:
Predicting financial distress of contractors in the construction industry using ensemble learning. 1-10 - Wanfu Gao, Liang Hu, Ping Zhang, Feng Wang:
Feature selection by integrating two groups of feature evaluation criteria. 11-19 - Peng Chen, Rui Tong, Guangquan Lu, Yunpeng Wang:
The α-reliable path problem in stochastic road networks with link correlations: A moment-matching-based path finding algorithm. 20-32 - Rosa Sicilia, Stella Lo Giudice, Yulong Pei, Mykola Pechenizkiy, Paolo Soda:
Twitter rumour detection in the health domain. 33-40 - Palwasha Afsar, Paulo Cortez, Henrique M. Dinis Santos:
Automatic human trajectory destination prediction from video. 41-51 - Igor Odriozola, Inma Hernáez, Eva Navas:
An on-line VAD based on Multi-Normalisation Scoring (MNS) of observation likelihoods. 52-61 - Alessio Bottrighi, Luca Canensi, Giorgio Leonardi, Stefania Montani, Paolo Terenziani:
Interactive mining and retrieval from process traces. 62-79 - Pierluigi Zerbino, Davide Aloini, Riccardo Dulmin, Valeria Mininno:
Process-mining-enabled audit of information systems: Methodology and an application. 80-92 - Lin Zhang, Jun Tian, Chuangyin Dang, Richard Y. K. Fung:
On equilibrium performance assurance with costly monitoring. 93-105 - Matheus Pedroza Ferreira, Marcelo Lisboa Rocha, Antônio José da Silva Neto, Wagner F. Sacco:
A constrained ITGO heuristic applied to engineering optimization. 106-124 - Yuyan Zhang, Xinyu Li, Liang Gao, Peigen Li:
A new subset based deep feature learning method for intelligent fault diagnosis of bearing. 125-142 - Aviad Cohen, Nir Nissim, Yuval Elovici:
Novel set of general descriptive features for enhanced detection of malicious emails using machine learning methods. 143-169 - Damián Fernández-Cerero, Alejandro Fernández-Montes, Juan Antonio Ortega:
Energy policies for data-center monolithic schedulers. 170-181 - Luca Parisi, Narrendar RaviChandran, Marianne Lyne Manaog:
Feature-driven machine learning to improve early diagnosis of Parkinson's disease. 182-190 - Ruibin Xiong, Jian Wang, Neng Zhang, Yutao Ma:
Deep hybrid collaborative filtering for Web service recommendation. 191-205 - Fernando López-Martínez, Aron Schwarcz, Edward Rolando Núñez-Valdéz, Vicente García-Díaz:
Machine learning classification analysis for a hypertensive population as a function of several risk factors. 206-215 - Christoph Lohrmann, Pasi Luukka, Matylda Jablonska-Sabuka, Tuomo Kauranne:
A combination of fuzzy similarity measures and fuzzy entropy measures for supervised feature selection. 216-236 - Hamed Jafarzadeh, Pouria Akbari, Babak Abedin:
A methodology for project portfolio selection under criteria prioritisation, uncertainty and projects interdependency - combination of fuzzy QFD and DEA. 237-249 - Marcos Vinícius dos Santos Ferreira, Antonio Oseas de Carvalho Filho, Alcilene Dalília de Sousa, Aristófanes Corrêa Silva, Marcelo Gattass:
Convolutional neural network and texture descriptor-based automatic detection and diagnosis of glaucoma. 250-263 - Prabhat R. Singh, Mohamed Abd El-Aziz, Shengwu Xiong:
Modified Spider Monkey Optimization based on Nelder-Mead method for global optimization. 264-289 - Ravi Kumar Vuddagiri, Hari Krishna Vydana, Anil Kumar Vuppala:
Curriculum learning based approach for noise robust language identification using DNN with attention. 290-297 - Symeon Symeonidis, Dimitrios Effrosynidis, Avi Arampatzis:
A comparative evaluation of pre-processing techniques and their interactions for twitter sentiment analysis. 298-310 - Hugo Quadros, Marcos Costa Roboredo, Artur Alves Pessoa:
A branch-and-cut algorithm for the multiple allocation r-hub interdiction median problem with fortification. 311-322 - Anis Yazidi, Tore Møller Jonassen, Enrique Herrera-Viedma:
An aggregation approach for solving the non-linear fractional equality Knapsack problem. 323-334 - Sadjad Gharehbaghi, Amir Hossein Gandomi, S. Achakpour, Mohammad Nabi Omidvar:
A hybrid computational approach for seismic energy demand prediction. 335-351 - Ismaïl Saadi, Bilal Farooq, Ahmed M. Mustafa, Jacques Teller, Mario Cools:
An efficient hierarchical model for multi-source information fusion. 352-362 - Pawel Ziemba:
NEAT F-PROMETHEE - A new fuzzy multiple criteria decision making method based on the adjustment of mapping trapezoidal fuzzy numbers. 363-380 - Sanaz Nami, Mehdi Shajari:
Cost-sensitive payment card fraud detection based on dynamic random forest and k-nearest neighbors. 381-392
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