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ORCIDExpert Systems with Applications, Volume 129
Volume 129, September 2019
- Eduardo Ramos-Pérez
, Pablo J. Alonso-González, José Javier Núñez-Velázquez:
Forecasting volatility with a stacked model based on a hybridized Artificial Neural Network. 1-9 - Agung Andiojaya, Haydar Demirhan:
A bagging algorithm for the imputation of missing values in time series. 10-26 - Mauricio García-Galicia, Alin A. Carsteanu, Julio B. Clempner:
Continuous-time reinforcement learning approach for portfolio management with time penalization. 27-36 - Martín O. Moguillansky, Antonino Rotolo, Guillermo Ricardo Simari:
Hypotheses and their dynamics in legal argumentation. 37-55 - João Luis Zeni Montenegro, Cristiano André da Costa, Rodrigo da Rosa Righi:
Survey of conversational agents in health. 56-67 - Mario Francisco, Yeray Mezquita Martín, Silvana Revollar, Pastora Vega, Juan F. De Paz:
Multi-agent distributed model predictive control with fuzzy negotiation. 68-83 - Nour El Islem Karabadji, Ilyes Khelf, Hassina Seridi, Sabeur Aridhi, Didier Rémond, Wajdi Dhifli:
A data sampling and attribute selection strategy for improving decision tree construction. 84-96 - Guido van Capelleveen, Chintan Amrit, Devrim Murat Yazan, W. Henk Zijm:
The recommender canvas: A model for developing and documenting recommender system design. 97-117 - Xinmin Tao, Qing Li, Chao Ren, Wenjie Guo, Chenxi Li, Qing He, Rui Liu, Junrong Zou:
Real-value negative selection over-sampling for imbalanced data set learning. 118-134 - Yueting Xu, Huiling Chen, Ali Asghar Heidari, Jie Luo, Qian Zhang, Xuehua Zhao, Chengye Li:
An efficient chaotic mutative moth-flame-inspired optimizer for global optimization tasks. 135-155 - L. Minh Dang, Ibrahim Hassan, Suhyeon Im, Hyeonjoon Moon:
Face image manipulation detection based on a convolutional neural network. 156-168 - Najlah Gali, Radu Mariescu-Istodor, Damien Hostettler, Pasi Fränti:
Framework for syntactic string similarity measures. 169-185 - Ralf Bruns, Jürgen Dunkel, Norman Offel:
Learning of complex event processing rules with genetic programming. 186-199 - Akanksha Joshi, Eduardo Fidalgo, Enrique Alegre, Laura Fernández-Robles:
SummCoder: An unsupervised framework for extractive text summarization based on deep auto-encoders. 200-215 - Maria João Sousa, Alexandra Moutinho, Miguel Almeida:
Classification of potential fire outbreaks: A fuzzy modeling approach based on thermal images. 216-232 - Bayu Adhi Tama, Marco Comuzzi:
An empirical comparison of classification techniques for next event prediction using business process event logs. 233-245 - Akrem Sellami, Mohamed Farah, Imed Riadh Farah, Basel Solaiman:
Hyperspectral imagery classification based on semi-supervised 3-D deep neural network and adaptive band selection. 246-259 - P. Unnikrishnan, V. K. Govindan, S. D. Madhu Kumar:
Enhanced sparse representation classifier for text classification. 260-272 - Ehsan Hoseinzade, Saman Haratizadeh:
CNNpred: CNN-based stock market prediction using a diverse set of variables. 273-285 - Juan Mantilla, José Luis Paredes, Jean-Jacques Bellanger, Erwan Donal, Christophe Leclercq, Mireille Garreau:
Discriminative dictionary learning for local LV wall motion classification in cardiac MRI. 286-295 - Farag Hamed Kuwil, Fadi Shaar, Ahmet Ercan Topcu, Fionn Murtagh:
A new data clustering algorithm based on critical distance methodology. 296-310
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