867 | -- | 887 | Alexander G. Ororbia II, Daniel Kifer, C. Lee Giles. Unifying Adversarial Training Algorithms with Data Gradient Regularization |
888 | -- | 896 | Minjoon Kouh. Information Maximization Explains the Sparseness of Presynaptic Neural Response |
897 | -- | 936 | Jonathan Touboul, Alberto Romagnoni, Robert Schwartz. On the Dynamical Interplay of Positive and Negative Affects |
937 | -- | 967 | G. Manjunath. Evolving Network Model That Almost Regenerates Epileptic Data |
968 | -- | 989 | Radek Marecek, Martin Lamos, René Labounek, Marek Barton, Tomás Slavícek, Michal Mikl, Ivan Rektor, Milan Brázdil. Multiway Array Decomposition of EEG Spectrum: Implications of Its Stability for the Exploration of Large-Scale Brain Networks |
990 | -- | 1020 | Hien Duy Nguyen, Geoffrey J. McLachlan, Pierre Orban, Pierre Bellec, Andrew L. Janke. Maximum Pseudolikelihood Estimation for Model-Based Clustering of Time Series Data |
1021 | -- | 1052 | Peter J. Siekmeier. An in Silico, Biomarker-Based Method for the Evaluation of Virtual Neuropsychiatric Drug Effects |
1053 | -- | 1102 | Hossein Soleimani, David J. Miller. Semisupervised, Multilabel, Multi-Instance Learning for Structured Data |
1103 | -- | 1123 | Qixiang Liao, Shudao Zhou, Hanqing Shi, Weilai Shi. Parameter Estimation of Nonlinear Systems by Dynamic Cuckoo Search |
1124 | -- | 1150 | Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng. 2, 1-Norm Maximization-Based Robust PCA for Reconstruction |