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Expert Systems with Applications, Volume 138
Volume 138, December 2019
- Shahab A. Abdulla, Mohammed Diykh, Raid Luaibi Laft, Khalid Saleh, Ravinesh C. Deo:
Sleep EEG signal analysis based on correlation graph similarity coupled with an ensemble extreme machine learning algorithm. - Adil Baykasoglu, Mümin Emre Senol:
Weighted superposition attraction algorithm for combinatorial optimization. - Francesca de Rosa, Alessandro De Gloria, Anne-Laure Jousselme:
Analytical games for knowledge engineering of expert systems in support to Situational Awareness: The Reliability Game case study. - Zhengping Liang, Jian Zhang, Liang Feng, Zexuan Zhu:
A hybrid of genetic transform and hyper-rectangle search strategies for evolutionary multi-tasking. - Shan Gai, Zhongyun Bao:
New image denoising algorithm via improved deep convolutional neural network with perceptive loss. - Hwijae Son, C. Hyun, Du Phan, Hyung Ju Hwang:
Data analytic approach for bankruptcy prediction. - Nabil Mansour, Mohamed Sadok Cherif, Walid Abdelfattah:
Multi-objective imprecise programming for financial portfolio selection with fuzzy returns. - Qiping She, Xiaochao Wei, Guihua Nie, Donglin Chen:
QoS-aware cloud service composition: A systematic mapping study from the perspective of computational intelligence. - Siwei Feng, Marco F. Duarte:
Few-shot learning-based human activity recognition. - Laura García-Hernández, Lorenzo Salas-Morera, J. A. Garcia-Hernandez, Sancho Salcedo-Sanz, José Valente de Oliveira:
Applying the coral reefs optimization algorithm for solving unequal area facility layout problems. - Zhijun Chen, Hao Cai, Yishi Zhang, Chaozhong Wu, Mengchao Mu, Zhixiong Li, Miguel Ángel Sotelo:
A novel sparse representation model for pedestrian abnormal trajectory understanding. - Juliana Rubenich Brondani, Luís Alvaro de Lima Silva, Eliakim Zacarias, Edison Pignaton de Freitas:
Pathfinding in hierarchical representation of large realistic virtual terrains for simulation systems. - Patricio Wolff, Sebastián A. Ríos, Manuel Graña:
Setting up standards: A methodological proposal for pediatric Triage machine learning model construction based on clinical outcomes. - Sasan Barak, Taha Mokfi:
Evaluation and selection of clustering methods using a hybrid group MCDM. - Abolfazl Nadi, Hadi Moradi:
Increasing the views and reducing the depth in random forest. - Dong-Gyun Hong, Yeon-Chang Lee, Jongwuk Lee, Sang-Wook Kim:
CrowdStart: Warming up cold-start items using crowdsourcing. - Bapi Dutta, Tanima Singha, Mark Goh, María Teresa Lamata, José Luis Verdegay Galdeano:
Post factum analysis in TOPSIS based decision making method. - Omid Tarkhaneh, Haifeng Shen:
An adaptive differential evolution algorithm to optimal multi-level thresholding for MRI brain image segmentation. - Eduardo Casilari-Pérez, Francisco García-Lagos:
A comprehensive study on the use of artificial neural networks in wearable fall detection systems. - Zhennao Cai, Jianhua Gu, Jie Luo, Qian Zhang, Huiling Chen, Zhifang Pan, Yuping Li, Chengye Li:
Evolving an optimal kernel extreme learning machine by using an enhanced grey wolf optimization strategy. - Héctor De La Torre Gutiérrez, Duc Truong Pham:
A control chart pattern recognition system for feedback-control processes. - Chao Liu, Jing Xie, Qi Zhao, Qiwei Xie, Chenqi Liu:
Novel evolutionary multi-objective soft subspace clustering algorithm for credit risk assessment. - Juri Yanase, Evangelos Triantaphyllou:
A systematic survey of computer-aided diagnosis in medicine: Past and present developments. - Fernando Sitorus, Jan J. Cilliers, Pablo R. Brito-Parada:
An integrated constrained fuzzy stochastic analytic hierarchy process method with application to the choice problem. - Mohammad Naim Rastgoo, Bahareh Nakisa, Frédéric Maire, Andry Rakotonirainy, Vinod Chandran:
Automatic driver stress level classification using multimodal deep learning. - Xiaodong Zhao, Yulan Dong, Dechang Pi:
Novel trajectory data publishing method under differential privacy. - Robert Anderson, Yun Sing Koh, Gillian Dobbie, Albert Bifet:
Recurring concept meta-learning for evolving data streams. - Alberto Blanco, Arantza Casillas, Alicia Pérez, Arantza Díaz de Ilarraza:
Multi-label clinical document classification: Impact of label-density. - Ruey-Maw Chen, Yin-Mou Shen, Wei-Zhi Hong:
Neural-like encoding particle swarm optimization for periodic vehicle routing problems. - Srishti Vashishtha, Seba Susan:
Fuzzy rule based unsupervised sentiment analysis from social media posts. - Ganesan Poonthalir, Rethnaswamy Nadarajan:
Green vehicle routing problem with queues. - Maikel Lázaro Pérez Gort, Claudia Feregrino Uribe, Agostino Cortesi, Félix Oscar Fernández Peña:
HQR-Scheme: A High Quality and resilient virtual primary key generation approach for watermarking relational data. - Mohamed E. Abd Elaziz, Siddhartha Bhattacharyya, Songfeng Lu:
Swarm selection method for multilevel thresholding image segmentation. - Maedeh Mosayeb Motlagh, Parham Azimi, Maghsoud Amiri, Golshan Madraki:
An efficient simulation optimization methodology to solve a multi-objective problem in unreliable unbalanced production lines. - Pinar Çivicioglu, Erkan Besdok:
Bernstain-search differential evolution algorithm for numerical function optimization. - Zeinab Hajiabotorabi, Aliyeh Kazemi, Faramarz Famil Samavati, Farid Mohammad Maalek Ghaini:
Improving DWT-RNN model via B-spline wavelet multiresolution to forecast a high-frequency time series.
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