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ORCIDNeural Networks, Volume 92
Volume 92, August 2017
- Minho Lee, Steven L. Bressler, Robert Kozma
:
Advances in Cognitive Engineering Using Neural Networks. 1-2 - Ahmadreza Ahmadi, Jun Tani:
How can a recurrent neurodynamic predictive coding model cope with fluctuation in temporal patterns? Robotic experiments on imitative interaction. 3-16 - Sang-Woo Lee, Chung-yeon Lee, Dong-Hyun Kwak, Jung-Woo Ha, Jeonghee Kim, Byoung-Tak Zhang:
Dual-memory neural networks for modeling cognitive activities of humans via wearable sensors. 17-28 - Sangwook Kim, Zhibin Yu, Minho Lee:
Understanding human intention by connecting perception and action learning in artificial agents. 29-38 - Peerajak Witoonchart, Prabhas Chongstitvatana:
Application of structured support vector machine backpropagation to a convolutional neural network for human pose estimation. 39-46 - Ying-Ying Zhang, Cai Yang, Ping Zhang:
Reprint of "Two-stage sparse coding of region covariance via Log-Euclidean kernels to detect saliency". 47-59 - Haytham M. Fayek, Margaret Lech, Lawrence Cavedon:
Evaluating deep learning architectures for Speech Emotion Recognition. 60-68 - Fatemeh Alimardani, Reza Boostani, Benjamin Blankertz:
Weighted spatial based geometric scheme as an efficient algorithm for analyzing single-trial EEGS to improve cue-based BCI classification. 69-76 - Himaanshu Gauba, Pradeep Kumar, Partha Pratim Roy, Priyanka Singh, Debi Prosad Dogra, Balasubramanian Raman:
Prediction of advertisement preference by fusing EEG response and sentiment analysis. 77-88 - M. R. Gauthama Raman, Nivethitha Somu, Kirthivasan Kannan, V. S. Shankar Sriram:
A Hypergraph and Arithmetic Residue-based Probabilistic Neural Network for classification in Intrusion Detection Systems. 89-97
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